Barriers and Facilitators to Early Physical Rehabilitation in ......understanding barriers and...
Transcript of Barriers and Facilitators to Early Physical Rehabilitation in ......understanding barriers and...
Barriers and Facilitators to Early Physical Rehabilitation in Mechanically Ventilated Patients
by
Shannon Lynn Goddard
A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy
Institute of Health Policy, Management and Evaluation University of Toronto
© Copyright by Shannon Lynn Goddard 2017
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Barriers and Facilitators to Early Physical Rehabilitation in
Mechanically Ventilated Patients
Shannon Lynn Goddard
Doctor of Philosophy
Institute of Health Policy, Management and Evaluation
University of Toronto
2017
Abstract
Background: Physical rehabilitation strategies, when initiated in critically ill patients, may
improve functional outcomes of survivors and may shorten duration of mechanical ventilation
and ICU length of stay, although evidence is conflicting. Despite some conflicting evidence, it
has been recommended in clinical practice guidelines, but not been consistently implemented
in critical care units. The implementation of complex interventions in healthcare is challenging,
but may be improved using theory to understand barriers and facilitators, and ultimately to
design interventions. The Theoretical Domains Framework (TDF) is a framework based on
health psychology that was designed to improve implementation of evidence based practice.
Methods: This dissertation describes a series of projects, based on the TDF, and aimed at
understanding barriers and facilitators to early physical rehabilitation in mechanically ventilated
patients. First, a systematic review of the literature, using the TDF to synthesize barriers and
facilitators was done. The following two research chapters describe a Delphi study of nurses,
physical and occupational therapists, respiratory therapists and physicians. The first round of
the Delphi consisted of semi-structured interviews. With the TDF, a theoretically driven topic
guide was developed and interviews analyzed using a theory-driven content analysis. The
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following rounds of the Delphi consisted of agree/disagree questions with a Likert scale, based
on Round 1 results that were reviewed and prioritized by the research group.
Results: The systematic review of the literature found that there was a general lack of theory in
assessing barriers and facilitators. Using the TDF to synthesize, we found a significant focus on
the domains of Behavioural Regulation, Environmental Context and Resources and Beliefs
about Consequences. The Dephi study confirmed these findings, although also found a focus
on the domains of Skills, Social and Professional Role, Beliefs about Capabilities, Social
Influences, Knowledge and Optimism.
Conclusion: A theoretically driven approach found a broader range of barriers and facilitators,
and provided a valuable tool for synthesis and organization. Further research should use these
findings to link to behaviour change techniques in designing interventions of early rehabilitation
in mechanically ventilated patients.
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Acknowledgments
I would first like to thank my thesis advisor, Dr. Brian Cuthbertson for his guidance and
availability in steering this work. I would also like to thank the rest of my thesis committee –
Professor Jill Francis, Dr. Eddy Fan and Dr. Gordon Rubenfeld for their valuable contributions
throughout this process.
I would also like to thank our collaborators on this work – Dr. Fabiana Lorencatto, Dr. Louise
Rose, Dr. Michelle Kho, Dr. Dale Needham and our research assistant, Ms. Ellen Koo. Dr.
Lorencatto, in particular, provided extensive and patient support to me in my initial
understanding of the Theoretical Domains Framework. Additional thanks to Dr. Andrea Patey,
who reviewed our topic guide.
We could not have done this work without the participants, who generously gave their time to
participate in the Delphi study.
This work was funded by an operating grant from the Canadian Institutes for Health Research
and support by the Canadian Critical Care Trials Group. Multiple organizations allowed us to
contact their members for participation in the Delphi – the Canadian Critical Care Trials Group,
the Canadian Association of Critical Care Nurses and the ICU Recovery Network.
Specific contributions are described in the body of the thesis, using initials (Shannon Goddard –
SG, Brian Cuthbertson – BH, Jill Francis – JF, Fabiana Lorencatto – FL, Ellen Koo – EK, Andrea
Patey – AP).
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Table of Contents
Contents
Table of Contents ........................................................................................................................................... v
Chapter 1. Introduction to Thesis ............................................................................................................ 1
1.1. Burden of Critical Illness and Survivorship .................................................................................... 1
1.2. Rehabilitation in Critical Illness...................................................................................................... 1
1.2.1. ICU-Acquired Weakness ........................................................................................................ 1
1.2.2. Prevention and Management of ICU-Acquired Weakness .................................................... 2
1.2.3. The Evidence regarding Benefits and Risks of Early Rehabilitation ...................................... 3
1.3. Knowledge Translation Challenges and Early Rehabilitation ........................................................ 4
1.3.1. Knowledge Translation in Healthcare and Critical Care Medicine ........................................ 4
1.3.2. Complex Interventions in Healthcare – The Example of Early Rehabilitation....................... 5
1.3.3. Early Rehabilitation as an Exemplar Complex Intervention .................................................. 6
1.4. Studying Clinician Behaviour ......................................................................................................... 8
1.4.1. The Argument for a Theory Driven Approach ....................................................................... 8
1.4.2. The Theoretical Domains Framework.................................................................................... 8
Chapter 2. A Systematic Review and Theory-Driven Analysis of the Barriers and Facilitators to Early
Rehabilitation in Critically Ill Patients .......................................................................................................... 17
2.1. Background .................................................................................................................................. 17
2.1.1. Post-Intensive Care Syndrome ............................................................................................ 17
2.1.2. Early Rehabilitation in Critical Illness ................................................................................... 17
2.1.3. Barriers to Evidence-Based Practice .................................................................................... 18
2.1.4. Barriers to Early Physical Rehabilitation .............................................................................. 18
2.2. Methods ....................................................................................................................................... 19
2.2.1. Inclusion and Exclusion Criteria ........................................................................................... 19
2.2.2. Search Strategy .................................................................................................................... 19
2.2.3. Analysis ................................................................................................................................ 20
2.3. RESULTS ....................................................................................................................................... 21
2.4. DISCUSSION ................................................................................................................................. 23
Chapter 3. Barriers and Facilitators to Early Rehabilitation in the Intensive Care Unit – A Theory
Driven Interview Study ................................................................................................................................ 47
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3.1. Background .................................................................................................................................. 47
3.1.1. The Consequences of Critical Illness .................................................................................... 47
3.1.2. Knowledge Translation and Early Rehabilitation ................................................................. 48
3.1.3. The Theoretical Domains Framework and Complex Interventions ..................................... 48
3.1.4. Study Question .................................................................................................................... 49
3.2. Methods ....................................................................................................................................... 49
3.2.1. Study Design ........................................................................................................................ 49
3.2.2. Participants .......................................................................................................................... 49
3.2.3. Development of Topic Guide ............................................................................................... 50
3.2.4. Analysis ................................................................................................................................ 51
3.2.5. Ethical Considerations ......................................................................................................... 53
3.3. Results .......................................................................................................................................... 53
3.3.1. Participants .......................................................................................................................... 53
3.3.2. Inter-Rater Reliability ........................................................................................................... 53
3.3.3. Results by Domain ............................................................................................................... 53
3.3.4. Domains of Lower Importance ............................................................................................ 56
3.3.5. Differences Between Professional Groups .......................................................................... 56
3.4. Discussion .................................................................................................................................... 57
Chapter 4. Barriers and Facilitators to Early Rehabilitation in the Intensive Care Unit – A Theory
Driven Delphi Study ..................................................................................................................................... 79
4.1. Introduction ................................................................................................................................. 79
4.1.1. Introduction to Delphi Methodology................................................................................... 80
4.1.2. Study Aim ............................................................................................................................. 81
4.2. Methods ....................................................................................................................................... 81
4.2.1. Study Design ........................................................................................................................ 81
4.2.2. Sampling and Participants ................................................................................................... 82
4.2.3. Delphi Rounds ...................................................................................................................... 82
4.2.4. Item Development ............................................................................................................... 84
4.2.5. Analysis ................................................................................................................................ 84
4.2.6. Ethical Considerations ......................................................................................................... 85
4.3. Results .......................................................................................................................................... 85
4.3.1. Participants .......................................................................................................................... 85
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4.3.2. Delphi – Overall Results ....................................................................................................... 85
4.3.3. Participant Agreement – Round 2 and 3 ............................................................................. 86
4.3.4. Participant Rating of Importance – Rounds 2 and 3 ............................................................ 86
4.3.5. Agreement - Change from Round 2 to Round 3 .................................................................. 86
4.3.6. Importance – Change from Round 2 to Round 3................................................................. 87
4.4. Discussion .................................................................................................................................... 88
Chapter 5. Synthesis ............................................................................................................................ 107
5.1. Summary of Study Results by TDF Domain ............................................................................... 107
5.1.1. Systematic Review ............................................................................................................. 107
5.1.2. Delphi ................................................................................................................................. 107
5.2. Social Influences ........................................................................................................................ 108
5.3. The Use of Theory in Implementation Science .......................................................................... 109
5.4. Early Physical Rehabilitation. Are We Ready for Knowledge Translation? .............................. 110
5.5. Conclusions ................................................................................................................................ 113
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List of Tables
Table 1.1 - Features of Key Randomized Trials in Early Physical Rehabilitation in ICU Patients ................. 14
Table 2.1 - Sample Search Strategy (English language, 2000-2015)............................................................ 28
Table 2.2- Data Elements Extracted in Systematic Review (from Cochrane et al, 2007 74) ...................... 29
Table 2.3 -Characteristics of Included Studies ............................................................................................. 30
Table 2.4 - Barriers and Facilitators by Theoretical Domain ....................................................................... 42
Table 2.5- Domains of the TDF by Study Included in the Systematic Review ............................................. 44
Table 3.1-Domains of the Theoretical Domains Framework and example questions from Topic Guide ... 62
Table 3.2 - Topic Guide ................................................................................................................................ 63
Table 3.3 Participant Characteristics ........................................................................................................... 67
Table 3.4 - Beliefs classified into Domains of the Theoretical Domains Framework .................................. 68
Table 4.1 - Items Included in Rounds 2 and 3 of Delphi by Domain of the TDF .......................................... 91
Table 4.2 - Participants in the Delphi Study................................................................................................ 93
Table 4.3 - Round 3– Agreement for all Items in Order of Strength of Agreement .................................... 94
Table 4.4 - Items with High Agreement (Median Score >=7) and High Consensus (>=90% of Respondents
with Agreement>=7) by TDF Domain .......................................................................................................... 98
Table 4.5 - Round 2 to Round 3 Change in Agreement ............................................................................... 99
Table 4.6 - Round 2 to Round 3 - Change in Importance .......................................................................... 101
Table 5.1 - Overview of Results by Chapter - ............................................................................................ 114
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List of Figures
Figure 1.1 Overview of delphi process ........................................................................................................ 16
Figure 2.1 – Screening and included studies for systematic review............................................................ 46
Figure 3.1 - TDF domains important in systematic review .......................................................................... 76
Figure 3.2 - Overview and example of interview coding process................................................................ 77
Figure 3.3 - Frequency of beliefs by domain ............................................................................................... 78
Figure 4.1 -TDF domains important in the semi-structured interviews .................................................... 103
Figure 4.2 Screen shot of electronic survey interface .............................................................................. 104
Figure 4.3 Participant flow through delphi ................................................................................................ 105
Figure 4.4 -Agreement change scores by professional group across all items ......................................... 106
Figure 5.1 - TDF Domains identified as important in delphi - orange domains are new domains for
Rounds 2 & 3 of Delphi, crossed out domain was identified in interviews but not Rounds 2 & 3 ........... 115
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Chapter 1. Introduction to Thesis
1.1. Burden of Critical Illness and Survivorship
Critical illness is a significant and growing health burden across the world. Globally, it is
estimated that there are between 13 and 20 million people who require mechanical ventilation
per year 1. As the population ages and general care of medical conditions is advanced, this
number is expected to rise2. Although large, these are likely underestimates of critical illness,
since they measure use of critical care services rather than critical illness per se, which is more
challenging to measure. For example, studies of critical illness may only count patients being
treated with mechanical ventilation, which many countries cannot provide. Therefore, in these
countries, critically ill patients remain un-counted or, at best, under-estimated.
Additionally, survival from critical illness is improving, as evidenced by cohorts of patients with
specific diagnoses such as sepsis 3 and acute respiratory distress syndrome (ARDS) 4. While
better survival is certainly a worthy accomplishment, it does come with burdens to those
survivors. Specifically, survivors suffer from impaired physical function 5, cognitive deficits 6,
mental health issues such as depression 7 and symptoms of post-traumatic stress disorder 8. All
of these issues culminate in impaired health-related quality of life (HRQOL) 9,10 and caregiver
burden 11.
1.2. Rehabilitation in Critical Illness
1.2.1. ICU-Acquired Weakness
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Traditionally, the focus in the intensive care unit (ICU) has been on the period of acute illness,
with resources and efforts directed at improving survival during that period. However, more
recently, observational data has compelled clinicians and patients to consider more carefully
the long-term outcomes of ICU survivors, which can persist for many years after the period of
illness.
ICU acquired weakness (ICUAW) is a well described phenomenon during and after critical
illness, although understanding of its pathophysiology is still in the early stages of research 12.
Although almost certainly multi-factorial, with a range of described risk factors, one of the
potentially modifiable factors is immobility during critical illness 13 leading to disuse atrophy.
1.2.2. Prevention and Management of ICU-Acquired Weakness
Traditionally the period of critical illness carried with it deep sedation and consequently bed
rest. The paradigm of care from acute illness to recovery was sequential; patients who survived
their critical illness then had initiation of rehabilitation after medical recovery was complete.
However, there has been a recent paradigm shift towards lighter sedation and sedation
interruptions 14,15, spontaneous breathing during mechanical ventilation 16 and earlier initiation
of rehabilitation strategies 17.
Rehabilitation in critically ill patients is highly variable in terms of timing of initiation, duration,
dose, modality and target. For example, it may be started on or shortly after admission, or at
the time of extubation. It may (and often does) focus on physical rehabilitation, but can also
include directed cognitive rehabilitation 18. Novel modalities, such as cycle ergometers 19 or
neuromuscular stimulation have been studied recently 20. However, most studies (and most
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ICU practice) have focused on physical rehabilitation strategies, using functional rehabilitation
techniques with a focus on mobility. “Progressive mobility” has been used to describe a graded
rehabilitation strategy that progresses through a series of functional activities, such as sitting at
the edge of the bed, transferring from bed to chair and ambulation.
1.2.3. The Evidence regarding Benefits and Risks of Early Rehabilitation
Safety and feasibility of early rehabilitation in mechanically ventilated patients have been well
established by several observational and non-randomized interventional studies in a variety of
patient groups21,22.
Current randomized trial evidence for early rehabilitation, summarized in Table 1.1, is less
robust. As demonstrated in the table, both the populations and interventions are
heterogeneous, but in general, represent ICU patients who are mechanically ventilated and
study interventions focused on functional mobility (although sometimes with the addition of
strength training) at a relatively early stage of the ICU stay (although the interpretation of
“early” varies). An early randomized trial of progressive mobility showed promise, with
improved functional outcomes at hospital discharge, fewer days of delirium and shorter
duration of mechanical ventilation 17. A small randomized study of cycle ergometry in patients
who were in the ICU at least 5 days demonstrated improved ambulation distance at hospital
discharge, improved quadriceps force and a higher score on the physical function sub-scale of
the Short-Form 36 23. A recent trial of an early rehabilitation program in a surgical ICU
demonstrated improved mobility in the ICU, shorter ICU and hospital length of stay and
improved functional status at discharge from hospital. Other trials of rehabilitation initiated in
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the ICU and continued after ICU or hospital discharge have not confirmed these findings 24,25. A
trial comparing intensive ICU based rehabilitation to usual rehabilitation also showed no effect
26. Similarly, rehabilitation strategies initiated post-ICU have not shown benefit in clinical trials
27-29.
Despite mixed evidence about its benefit, there has been continued support for early
rehabilitation in the ICU, which is reflected in current clinical practice guidelines. For example,
the Society for Critical Care Medicine has recommended early rehabilitation as part of a
strategy to reduce delirium in critically ill patients 30. Similarly, the European Society of
Intensive Care Medicine recommends early rehabilitation, while acknowledging the limits of the
evidence 31. Most recently, the American Thoracic Society has adopted early rehabilitation as
part of guidelines to facilitate liberation from mechanical ventilation 32.
1.3. Knowledge Translation Challenges and Early Rehabilitation
1.3.1. Knowledge Translation in Healthcare and Critical Care Medicine
Healthcare continues to face challenges in the implementation of evidence. Interventions to
improve uptake of evidence based practice have progressed beyond the traditional model of
didactic continuing medical education to include audit and feedback 33, educational outreach
visits 34 and inter-professional collaboration 35, but results have been of modest effect at best
36. In critical care in particular, one single-centre prevalence study of 10 commonly accepted
ICU best practices showed rates of eligible patients receiving the interventions ranged from
8.3% (sedation interruption) to 95% (VTE prophylaxis) 37. Interventions to improve uptake of
evidence based practice in critical care have been disappointing 38.
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1.3.2. Complex Interventions in Healthcare – The Example of Early Rehabilitation
1.3.2.1. Complex Interventions and Complex Patients
Complexity in healthcare interventions is an important challenge to implementation.
Complexity may come from multiple sources – the intervention itself, the targets for delivery,
the degree to which the intervention is fixed or may be tailored and the behaviours of those
delivering or receiving the intervention 39. There may also be an interaction between the
complexity of the intervention and that of the patient. Complex patients may be thought of as
those with multi-system illness, those with multiple interacting healthcare teams and those
with constant changes in clinical condition. There may be competing risks and competing goals
depending on which aspect of the patient is being treated.
The critically ill patient may be an exemplar of complexity in the inpatient setting. Like many
medically complex patients, they often have a baseline list of medical comorbidities and receive
highly complex interventions. In addition, severity of illness adds to this, both by increasing risk
of medical interventions and by increasing the sheer number of interventions. Even an example
of a patient with pneumonia leading to septic shock and respiratory failure has multiple
elements of complexity. The patient may need intravenous fluids to improve organ perfusion,
but fluids may worsen respiratory failure. The patient may be on multiple titratable drugs that
are adjusted hourly based on moving physiological targets. Among the consequences of
complexity is the need for personalized, adaptable and titratable interventions, which may be
difficult to implement in a standardized way.
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1.3.3. Early Rehabilitation as an Exemplar Complex Intervention
Early rehabilitation has been implemented with variable success. Single centres have shown
impressive rates of uptake using locally based quality improvement interventions 40,41.
However, more broadly, implementation has been disappointing. A recent survey of
physiotherapists in the United States found that 12% of ICU therapists had no training at all for
the ICU setting and that two thirds of institutions had no guidelines for physiotherapy
consultation in the ICU 42. In a one-day point prevalence study in Australia, no mechanically
ventilated patients performed any out-of bed activities, although some did do sitting at the
edge of the bed for postural training 43. Similarly, in a German point prevalence study, 92% of
patients who were endotracheally intubated remained in bed 44.
Complexity may be a key contributor to the challenge of implementing early rehabilitation in
the ICU setting. The intervention is complex. It can include multiple components – passive or
active range of motion, in-bed or out-of bed strength training, proprioceptive training,
cardiovascular training, cognitive or task training, electrical muscle stimulation and functional
mobility training, among other things 17-20. Furthermore, these elements of rehabilitation may
not be discrete from each other, making it challenging to design a protocolized pathway and to
understand which elements are most critical. For example, for a critically ill patient, significant
cognitive focus may be required to follow a therapist’s direction during gait training, so both
physical and cognitive rehabilitation may be happening. In addition, ICU-based rehabilitation is
only a part of the patient’s rehabilitation pathway, which may include further hospital based
rehabilitation, specialized inpatient rehabilitation or outpatient rehabilitation programs.
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Rehabilitation is also highly customized to the patient’s type and severity of illness, baseline
functional status and goals. For example, some disease states (e.g. stroke, spinal cord injury)
have well established rehabilitation teams and pathways that begin while the patient is in
hospital 45,46, while others (e.g. general medical admissions) do not. Furthermore, it may
interact with other ICU interventions, such as sedation and delirium management in its impact
on outcomes. The goals of the intervention vary widely between patients and change over time
– for some, the goal is to return home to live independently and for others, the goal is more
short-term, to be liberated from mechanical ventilation.
Early rehabilitation also relies heavily on the availability, teamwork and skill of multiple
members of the healthcare team. An apparently simple task such as assisting a patient in
pivoting from bed to a chair may involve a physiotherapist, a registered nurse, a respiratory
therapist, a service assistant and/or a physiotherapy assistant. Furthermore, the patient must
also be a motivated member of the team. Even prior to the delivery of this intervention,
multiple team members must collaborate and agree on its safety and appropriateness, while
integrating different types of clinical information, such as level of consciousness, hemodynamic
stability, cardiorespiratory reserve, muscle strength and the presence of invasive medical
devices such as central venous catheters and endotracheal tubes.
Each team member described in the clinical scenario above has different skills, knowledge and
experience, and without the full engagement of any one of them, the intervention may not
happen. Minimal data exist on the views of these multiple team members in the delivery of
early rehabilitation, but there is suggestion of discordant views between professions. In a study
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of bedside nurses and physiotherapists, nurses were more likely to identify hemodynamic
instability and renal replacement therapy as barriers to rehabilitation, while physiotherapists
were more likely to identify neurologic status 47.
1.4. Studying Clinician Behaviour
1.4.1. The Argument for a Theory Driven Approach
Given the disappointing impact of knowledge translation interventions to date, implementation
scientists have advocated for a theory-based knowledge translation approach instead of a
“common sense” or convenience approach. They have argued that the benefit of a theoretical
approach is to improve understanding of change mechanisms, by bringing a common language
to the description of barriers, developing rational knowledge translation interventions and
allowing for building a cumulative evidence base with stronger generalization to different
settings 36,48. Use of a theoretically driven approach may also encourage a broader view of
barriers and facilitators, leading researchers and clinicians beyond the commonly cited barriers
of knowledge, training and resources.
However, a theory-based approach to implementation is often not taken. In a review of 235
studies of guideline dissemination and implementation, a wide variety of techniques was used,
generally with only modest to moderate improvement in outcomes 36,48. Of note, there were
few studies that offered any theoretical basis or other rationale for their choice of intervention.
1.4.2. The Theoretical Domains Framework
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Health psychologists have proposed many theories to explain behaviour, including the
behaviour of health professionals in a multi-disciplinary environment, to explain why
“knowledge users” may not act in a manner consistent with evidence-based practice.
Unfortunately, these theories are numerous and often unfamiliar to front-line clinicians, who
are frequently responsible for implementation of guidelines and evidence in individual
institutions. In an attempt to create a set of theoretical domains that would be accessible to
professionals without expertise in health psychology, Michie et al. used a consensus process to
review, evaluate and consolidate existing theories of behaviour and behaviour change 49. They
ultimately agreed upon 12 key domains that could be used to guide interventions, which has
since been validated and slightly elaborated to include 14 domains although the core
components of the framework remain the same 50. This “Theoretical Domains Framework”
(TDF) has been used previously to guide research on identifying barriers to implementation as
well as to design implementation interventions, both in the ICU and other healthcare settings
51-53.
Of note, a number of other KTE frameworks exist in the literature, including the Knowledge to
Action (KTA) Cycle 54, the Consolidated Framework for Implementation Research (CFIR) 55, and
the Promoting Action on Research Implementation in Health Services Framework (PARIHS) 56.
Given the knowledge translation frameworks that already exist in the literature, it is important
to explore the strengths of the TDF, in particular relative to other KTE frameworks.
The TDF is unique in its detailed perspective on the theoretical determinants of behaviour of
healthcare professionals. Largely through the lens of health psychology, the intention of the
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TDF is to explain why people do or do not practice in accordance with guidelines and evidence,
and ultimately, to change that behaviour if necessary. Clearly, healthcare providers are human
beings, with broad and varied backgrounds, experience, motivations and personalities. They
may interact with the health care system and evidence based practice in complex ways. The
TDF and associated instruments provide a specific framework by which to study barriers and
facilitators to behaviour.
Importantly however, the TDF is not a longitudinal or iterative implementation framework.
Unlike, for example, the KTA cycle, it is not a process map for the entire knowledge translation
process. The KTA cycle does include the assessment of barriers to knowledge use as an
important step before developing tailored interventions. However, it provides no specific
methodology or framework by which to do so. The TDF then, could be used as a method to
conduct a detailed exploration of these barriers (and facilitators) and to develop targeted
interventions.
Like the KTA, the CFIR is a longitudinal and iterative implementation framework 55. However,
unlike the KTA, the CFIR does specifically reference individuals as a domain within the process
of knowledge translation. In addition to individuals, the CFIR consists of four other domains –
the intervention, the inner and outer settings and the process by which implementation is
accomplished. As such, while including the individuals as central, the CFIR takes a broader
approach to knowledge translation than the TDF. How then (if at all) can the TDF contribute?
First, we should examine the theoretical underpinnings of the “Characteristics of Individuals”
domain of the CFIR in order to contrast it with the TDF. Within the domain, there are then a
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number of sub-domains, which overlap somewhat with the TDF – knowledge and beliefs, self-
efficacy, individual identification with organization and “other personal attributes”.
Conceptually in the original paper, the authors of the CFIR focus on the importance of the
relationship of individuals with organizations in determining behaviour. Although they refer to
key theories of individual behaviour change, such as self-efficacy and stage of change, there is a
larger focus on organizational theory as it pertains to individuals.
Like the KTA, the CFIR does not provide significant direction in terms of methods to measure or
change behaviour of individuals. This is not a criticism of either model, as both serve an
important role that the TDF cannot. First, as with the KTA, the models may be used together,
with the TDF being used to provide a detailed evaluation of the role of individuals. Secondly,
the models may be used for different problems. The CFIR may be most helpful in situations
where a practice is being implemented across different sub-units within an organization and
where organizational theory is most relevant. For example, a hospital may wish to implement
best practice guidelines around patient flow within a hospital to reduce time spent in the
emergency department or recovery room while waiting for an inpatient bed. Given the
complexities of patient flow across many levels of an organization, organizational theory may
be more relevant than theories of individual behaviour. Conversely, the TDF may be most
helpful where an intervention is highly dependent on individual behaviour and has a significant
volitional component. In our example of the implementation of early rehabilitation or mobility,
individual providers make frequent decisions daily about whether to, or how to provide
rehabilitation to a patient.
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The PARIHS model 57, which has been explored in a number of other conceptual papers, is
based on three core elements – evidence, context and facilitation. In this model, individual
healthcare providers are not named as a core component, although it may be implied within
parts of the core elements. The PARIHS model has a weaker conceptual basis than either the
TDF or the CFIR, both of which are based on rigorous literature reviews and existing theory. In
contrast, the PARIHS model was originally developed on the basis of “experience within the
team, working with clinicians (mostly nurses) in helping them to improve the quality of their
care by setting clinical standards, introducing audit and quality improvement and in changing
patient services in several community hospitals in one health authority,” and illustrated using a
number of case examples 56. Although a number of further papers have attempted to improve
the conceptual basis of this framework, criticism continues that constructs between domains
are overlapping (e.g. culture and cultural boundaries) and lack conceptual clarity 58. Given the
already overlapping constructs within the PARIHS model, combining it with another approach
seems likely to create confusion.
To summarize, unlike the KTA and CFIR, the TDF does not provide a complete implementation
framework. In some cases, its role may be to provide a detailed evaluation of a component of
one of the steps of the KTA or domains of the CFIR. It does have a strong theoretical
background, based on rigorous literature review and validation exercises, a shortcoming of the
PARIHS model.
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Given the importance of clinician behaviour in implementing evidence based practice, we have
chosen to use the TDF to study clinician behaviour in early rehabilitation. As stated by
Greenhalgh 59,
“People are not passive recipients of innovations. Rather… they seek innovations,
experiment with them, evaluate them, find (or fail to find) meaning in them, develop
feelings (positive or negative) about them, challenge them, worry about them, complain
about them, ‘work around’ them, gain experience with them, modify them to fit
particular tasks, and try to improve or redesign them – often through dialogue with
other users.”
With its health psychology lens focused on behaviour, the TDF is ideally suited to examine
clinician perspectives of barriers and facilitators and will form the theoretical basis of the
projects contained in this dissertation. The chapters consist of a systematic review (Chapter 2)
and a Delphi study consisting of a qualitative Round 1 (Chapter 3) and quantitative Rounds 2
and 3 (Chapter 4). The Delphi study is described in general in Figure 1.1 and specifically in
Chapter 4.
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Table 1.1 - Features of Key Randomized Trials in Early Physical Rehabilitation in ICU Patients
Study Population* Intervention Content Intervention Timing
Control Primary Outcome
Schweickert 17
Medical ICU patients, in ICU <72h, expected to be at least another 24h
OT/PT delivered progressive mobility protocol starting with passive ROM and progressing to ambulation
Start: ICU stay End: Hospital discharge
Usual care Number of patients returning to independent function at hospital discharge (defined as ability to perform 6 ADLs and walk independently)
Burtin 23 MICU or SICU patients, ICU stay ≥ 5d and ICU LOS anticipated to be ≥ 7 more days
Passive or active bed based cycling intervention 5 days per week
Start: in ICU (at least 5 d into stay) End:
Standard passive ROM and mobility program.
6MWT at hospital discharge.
Moss 26 ICU patients with ≥ 4d of MV
Progressive program of breathing, ROM, muscle strengthening, core mobility and strength, functional mobility training. 30 min/d PT sessions in ICU and 60 min/d on ward/outpatient setting, 7d/wk in inpatient setting.
Start: in ICU End: 28 days after randomization or until successful completion of program (could take place on ward or home as needed)
ROM and functional mobility retraining 3 d/ wk. Continued up to 28d or to hospital discharge
Physical function (using short form of the Continuous Scale Physical Functional Performance Test) at one month
Denehy 24
ICU stay ≥ 5d Individualized training program based on baseline using mix of functional and strength training and cardiovascular training (cycle ergometer). In ICU: 15 min/d while on MV, 15 min 2x/d off MV. On ward, 2x 30
Start: ICU End: 8 weeks after discharge home
Respiratory and mobility training according to “usual unit protocols”.
6MWT at 6 months
15
Study Population* Intervention Content Intervention Timing
Control Primary Outcome
min/d. Outpatient: 60 min 2x/wk x 8 wks.
Morris 25 P:F ratio <300 Intensive graded physical therapy regimen including PROM, PT and resistance training
Start: ICU End: Hospital discharge
Usual care Hospital length of stay
Schaller 60 SICU patients, MV < 48h and expected to need MV at least 24H from time of enrolment
Progressive mobility protocol starting with PROM and progressing to ambulation. Daily mobilization goal and closed-loop team communication
Start: ICU End: ICU discharge
Usual care Mean SOMS level patients achieved during their SICU stay
*Note that all studies have some mix of common exclusion criteria (moribund/not expected to survive, not functionally independent prior to
admission, etc.)
OT - occupational therapy, PT – physical therapy, PROM – passive range of motion, 6MWT – six minute walk test, PCP – primary care provider,
SICU – surgical ICU patients, SOMS – SICU optimal mobilization score
16
Figure 1.1 Overview of delphi process
Research Question
Selection of Experts
Delphi Round 1
Delphi Round 2
Delphi Round 3
Delphi Round 4
What are the important barriers to early
rehabilitation in patients on invasive
mechanical ventilation in the ICU?
ICU physicians
ICU nurses
ICU rehabilitation professionals
(physiotherapists and occupational
therapists)
ICU respiratory therapists
Item generation for future rounds –semi-
structured interviews based on theoretical
domains framework
Web-based questionnaire of items
generated from analysis of Round 1 data.
Each item phrased as two paired
statements: (1) agree/disagree statement,
(2) assessment of importance. Participants
will rate level of agreement with both
statements on 9-point Likert scale
Feedback of results of Round 2 to
participants in the form of summary
statistics (median and interquartile range)
for each item. Repeat of item rating in
Round 2
Evaluate responses for degree of agreement
and stability
17
Chapter 2. A Systematic Review and Theory-Driven
Analysis of the Barriers and Facilitators to Early
Rehabilitation in Critically Ill Patients
2.1. Background
2.1.1. Post-Intensive Care Syndrome
Survivors of critical illness suffer from “post-intensive care syndrome”61, a syndrome which
includes physical deficits 5,62, cognitive impairments 6, mental health challenges 63,64 and
reduced quality of life 10.
The physical impairments, which include intensive care unit-acquired weakness (ICUAW) and
impaired physical function, present significant challenges for patients, who have survived an
episode of life threatening illness, only to find themselves unable to perform physical tasks
without difficulty. These deficits are likely multifactorial, but are likely at least in part due to
immobility during the ICU stay. While some patients are likely too ill to be safely mobilized or
have injuries or medical conditions precluding many physical rehabilitation strategies, being
critically ill, or indeed mechanically ventilated, is not in and of itself a contraindication.
2.1.2. Early Rehabilitation in Critical Illness
18
Early rehabilitation in critically ill patients is a growing area of research. Early studies
demonstrate safety and feasibility 22,65,66, and two randomized trials have demonstrated
effectiveness in improving functional status17 and six-minute walk 23 at hospital discharge.
Furthermore, at least in the United States, there is some evidence of cost-effectiveness 67.
Interestingly, as discussed in the introductory chapter of this thesis, more recent studies24-26
have failed to show an effect, although in one trial, the investigators were unable to recruit to
their planned sample size 24. Although the field is still early in developing evidence, early
mobility has been adopted in evidence-based guidelines 30,32. Despite evidence and guidelines
supporting its use, several point prevalence studies have demonstrated low rates of
implementation of early physical rehabilitation in critically ill patients 42-44,68,69.
2.1.3. Barriers to Evidence-Based Practice
Understanding why clinicians adhere to guidelines and follow evidence-based practice is a
complex task. The assessment of barriers and facilitators is a critical first step to implementing
change and is embedded in commonly used frameworks for change and quality improvement
55,56,70. As discussed in the introductory chapter, the Theoretical Domains Framework (TDF) is a
framework based on multiple theories derived from health psychology intended for use in
implementation research 49,50. It has been used in the assessment of barriers and facilitators 51,
to develop interventions 71 and in systematic reviews 72.
2.1.4. Barriers to Early Physical Rehabilitation
19
There has been a growing interest in understanding barriers and facilitators to early
rehabilitation in the ICU setting, with clinicians and researchers working to improve
implementation locally and to produce high quality interventions for research studies. We
performed a systematic review using the TDF as a framework for synthesis, to examine the
barriers and facilitators of early physical rehabilitation strategies in mechanically ventilated
critically ill patients.
2.2. Methods
2.2.1. Inclusion and Exclusion Criteria
Eligible studies included any study reporting barriers or facilitators to early physical
rehabilitation in mechanically ventilated adult patients. For the purposes of this study, we
defined early physical rehabilitation as any intervention targeted at physical function, including
functional mobility training, cardiovascular training, strength training and range of motion. We
did not restrict based on provider profession, because in different healthcare settings, physical
rehabilitation strategies may be delivered by different providers. If both physical rehabilitation
and other strategies (e.g. cognitive rehabilitation) were part of the study, we included the
study. Because most ICUs include a mix of mechanically ventilated and non-mechanically
ventilated patients, studies could report on a mix of mechanically ventilated and non-ventilated
patients. Because of the expected heterogeneity in this area of research, studies were not
restricted on design or on level of analysis (e.g. healthcare provider, ICU or patient).
2.2.2. Search Strategy
20
The following databases covering literature relevant to multiple health professions were
searched: Medline, CINAHL, PEDRO, EMBASE, Cochrane Database of Systematic Reviews and
Cochrane Central. Two reviewers independently adjudicated application of the
inclusion/exclusion criteria. Any discrepancies were resolved by a third reviewer. In addition,
we reviewed reference lists of all included studies and review articles not included in the
systematic review. Review articles will be identified during the initial review of abstracts. A
general search strategy was developed and then adapted to the specific search terms of each
database. The strategy, along with the specific terms used in Medline is shown in Table 2.1.
Note that a term for “barriers” or “facilitators” was not included because in test searches,
known studies were missed.
2.2.3. Analysis
Data were extracted about study design, barrier methodology, conceptual framework and
study findings from each article using a tool previously described 73. The data elements are
shown in Table 2.2.
The articles were then reviewed in detail for barriers and facilitators. Barriers were defined as
any issue that interfered with rehabilitation practice in the ICU, regardless of whether the
authors specifically labelled them as barriers. Facilitators were any issues that promoted early
rehabilitation. Where studies reported successful quality improvement or implementation
strategies, elements of those strategies were reported as facilitators. Extracted barriers and
facilitators were then coded using content analysis according to domains of the TDF. Similar
items were grouped together within domains and used to inductively identify specific barriers
21
and facilitators. Where possible, similar themes were collapsed together to find similarities
between studies. For example, if a study identified “lack of high-wheeled walker” as a barrier,
this was coded under the domain of “Environmental Context and Resources”, with the specific
theme being “adequate or specialized equipment”. Because conceptually, the same item could
be either a facilitator or barrier if present or absent, both were included together.
Because the studies were anticipated to be of heterogeneous study designs, no specific
instrument was used to assess quality and quantitative meta-analyses were not done.
However, studies were evaluated for the use of a published theory or conceptual framework to
assess barriers and facilitators, which can be used to link barriers and facilitators to
implementation interventions 74.
2.3. RESULTS
In total, 38 articles met the inclusion criteria. Details of screening articles are shown in Figure
2.1. Study characteristics are shown in Table 2.3. As shown in Table 2.3, the studies used a
variety of study designs. Nine were cross-sectional studies, using survey methods, either
measuring institutional practice, clinician practice and perceptions or both 42,68,75-81. The rest of
the studies were either cohort/feasibility studies (eight) 47,77,82-87, point prevalence study (one)
43, focus group (one) 88 or semi-structured interviews (three) 89-91. Of note, four publications
described different aspects of two distinct quality improvement interventions 40,92-94. Sixteen of
the thirty-eight publications described a quality improvement study, 15 of which were single
22
centred 41,90,92,93,95-103 and two multi-centred 104,105. Most studies (27 of 38) did not report using
a guiding theory or conceptual framework.
Authors used a variety of methods to identify barriers and facilitators, including survey
42,68,75,76,78-81,92,96,100,105,106 or interview of healthcare providers (individually or in groups) 88-91
and prospective or retrospective patient level data collection from chart review or real-time
clinician report 43,47,77,83-85,87,97,107. Some studies, particularly quality improvement studies,
reported on barriers identified through a multi-modal method, using formal and informal
processes such as staff surveys 42,68,75,76,78-81,92,96,100,105,106, staff interviews 88-90,92,105 and inter-
professional team meetings 40,99. The degree of detail in description of these methods was
variable between studies. Some publications focused on the implementation process and its
results 40,41,82,86,98,101,103, providing less detail on the method by which barriers and facilitators
were identified.
Specific barriers and facilitators are shown in Table 2.4 by domain of the TDF. The domains of
Beliefs about Consequences, Environmental Context and Resources and Behavioural regulation
had the highest number of barriers and facilitators identified per domain. Certain specific
barriers and facilitators were identified in a large number of studies. Three specific items were
identified in at least 10 of the 38 publications. Eighteen studies identified “physiological
factors” (e.g. high oxygen needs or use of vasopressors) that impacted on the likelihood of
rehabilitation occurring (Beliefs about Consequences). A “culture of sedation” was also
identified in eighteen studies and a “need for adequate or specialized equipment” was noted in
13 studies (Environmental Context and Resources). The need for physician orders to allow
23
mobility were noted in eleven studies (Behavioural Regulation). Ten studies identified concern
for patient safety (Beliefs about Consequences).
Other barriers and facilitators reported in at least 5 of the 37 publications were staff education
(Knowledge), mobility champions (Social/Professional Role) and belief in general benefit of
mobility (Beliefs about Consequences). Under the domain of Environmental Context and
Resources, dedicated physiotherapy staff, adequate rehabilitation staff or time and a general
need for increased staffing or resources were identified in at least 5 publications. Both the
importance of leadership support and inter-professional collaboration were identified in the
domain of Social Influences. Behavioural Regulation strategies identified were the use of a
protocol and an “opt out philosophy” where an order is required NOT to have mobility rather
than the reverse.
Barriers and facilitators identified in the studies were from twelve of the fourteen domains of
the TDF. The only domains in which barriers and facilitators were not identified were Optimism
and Emotion. Domains represented in the included studies are shown in Table 2.5. Three
domains were identified in the majority of publications – Beliefs about Consequences,
Environmental Context and Resources and Behavioural Regulation.
2.4. DISCUSSION
This systematic review is the first to use a theoretical framework to analyze the barriers and
facilitators to early mobilization in the ICU in the published literature. Using the TDF, we found
that barriers and facilitators were commonly identified within the domains of Beliefs about
Consequences, Environmental Context and Resources and Behavioural Regulation and that no
24
identified barriers and facilitators were identified within the domains of Optimism or Emotion.
Specific barriers and facilitators were identified in a large proportion of studies. In particular,
patient safety (e.g. device removal) and concern about physiological deterioration were noted
very frequently. Additionally, we found that access to adequate resources (staff and
equipment) were reported very frequently, as was a culture of high sedation use. Issues
around patient safety or physiologic tolerance and resource limitations are in keeping with prior
literature 108.
Using the TDF has important advantages. First, barriers and facilitators can be complex, and
authors may not use consistent terminology. The TDF provides a way to synthesize results from
different study designs using common terminology and a framework by which to organize them
and group “like with like”. Second, and most importantly, it may provide a link between
barriers and behaviour change techniques, as demonstrated by Cane and colleagues 74,109. For
example, techniques aimed at education or information distribution may be most helpful where
Beliefs about Consequences are identified as barriers, particularly if specific incorrect beliefs
can be corrected. Conversely, educational interventions are unlikely to be helpful when
procedural issues, such as the requirement for a physician order to mobilize are barriers.
Early physical rehabilitation is a labour-intensive task for bedside clinicians, especially when the
patient is mechanically ventilated. It usually involves multiple team members, often for a
protracted amount of time, and requires rehabilitation equipment, so the frequent
identification of barriers within the domain of Environmental Context and Resources is not a
surprise. Additionally, despite evidence that adverse effects are very rare 110, clinicians still
25
have concerns about risk to the patient and most data about safety comes from expert centres.
Risks of physiological deterioration or risk of dislodgement of medical devices were commonly
cited barriers in the reviewed studies.
Interestingly, barriers and facilitators also fell commonly within the domain of Behavioural
Regulation. Behavioural Regulation is defined conceptually in the TDF literature as “Anything
aimed at managing or changing objectively observed or measured actions 49,50. The frequency
of identification of this domain may be because quality improvement studies often include the
creation of processes that aim to create situations where performing the behaviour is easier.
For example, a number of studies identified the use of a protocol guiding the rehabilitation
process as a facilitator (or barrier, when absent). They also identified one specific structural
process, the need for a physician order, as a common barrier to carrying out rehabilitation.
Very few of the studies in this review used any conceptual or theoretical model to guide their
evaluation or intervention. Similar to conventional medical sciences, where new pharmacologic
agents are based on sound theory and understanding of mechanism of action, interventions to
change behaviour should be based on theory, which may originate in psychology, sociology or
organizational theory 111 112.
This review contained a high proportion of quality improvement studies. Quality improvement
studies can provide very important granular data about barriers and facilitators that can be
helpful in understanding behaviour. They are, by nature, different from other published
research studies. First, they are customized to the local setting and so may suffer from a lack of
generalizability to other contexts. Unfortunately, adequate details about the study setting are
26
often not provided to allow the reader to understand generalizability. For example, in early
rehabilitation, it might be important to understand staffing models and staffing ratios, which
can vary widely between ICUs. Secondly, they are usually iterative in nature and may evolve
rapidly as a priority over documentation of methodology. As a result, published reports of
quality improvement projects may involve the best recollection of the writers rather than a
reporting of an a priori protocol that might be used in clinical research.
In addition, quality improvement research may be particularly subject to publication bias.
Publication bias in quality improvement work may have a number of root causes. Like other
areas of research, interventions that are not effective are less likely to be published than those
that were effective. Often, those who undertake local quality improvement work are front line
clinicians with little time to do the QI work. Perhaps most importantly, most quality
improvement work is done to improve local quality and academic publication was never
intended as part of its output.
In addition, quality improvement may suffer from biased or selective reporting. In this review,
some studies reported a narrative of their quality improvement process with information about
facilitative elements of the intervention, with before and after patient level data to
demonstrate increased uptake. Implied in developing the intervention is some evaluation of
barriers and perhaps selection of the barriers on which to focus, but in some cases, the process
was not described. Quality improvement studies can be of high quality and can provide
detailed information on barriers and the process by which they were identified. Published
guidelines are available to direct authors in reporting quality improvement research113.
27
In summary, there were a large number of studies using a variety of methods identified in this
systematic review. The studies rarely used a guiding theory or conceptual framework, which
may limit the ability to design effective interventions. Future research should focus on sound
assessment of barriers and facilitators using a guiding theory and development of interventions
that link to behaviour change techniques. Authors reporting quality improvement studies
should follow the SQUIRE guidelines in reporting quality projects for publication 113.
28
Table 2.1 - Sample Search Strategy (English language, 2000-2015)
Concept Synonyms MeSH Terms Free Text Search Terms
Critical illness Intensive care, intensive care
units, ICU, critical care,
critical care units, critical
illness, critically ill, critical
condition
“Intensive Care”,
“Intensive Care
Units, “Critical Care”,
“Critical Illness”
“Intensive care”, “ICU”,
“critical care”, “critical
illness”, critical
condition”
Rehabilitation Rehabilitation, mobility,
ambulation, physiotherapy,
physical therapy, physical
modalities, mobilization,
mobilization
“Rehabilitation”,
“Rehabilitation
Nursing”, “Physical
Therapy Specialty”,
“Physical Therapy
Modalities”
“rehabilitation”,
“physiotherapy”,
“physical therapy”,
“mobility”,
“mobilization”,
“mobilisation”,
“occupational therapy”
29
Table 2.2- Data Elements Extracted in Systematic Review (from Cochrane et al, 2007 74)
1. Overall Goal Larger purpose that motivates the study (develop an intervention,
test a theory, increase knowledge).
2. Clinical Problem The aspect of clinical practice being investigated (e.g., diabetes
management, hypertension). Answers the question, “Barriers to
improving practice related to what?”
3. Purpose of Study Stated purpose of the study.
4. Conceptual Framework The theories, models, and typologies used to inform the design of
the study. May be formal or informal, explicit or implicit
5. Hypotheses Formal or informal statements about what the researchers expected
to find.
6. Barrier Methodology General descriptions of methods and techniques used to identify the
barriers.
7. Instrument Characteristics Description of any instrument used to gather data about barriers.
Includes elements of instrument not specifically related to barriers.
May be a survey, list of questions used by interviewers, or
something else.
8. Instrument Development. Process by which the instrument for assessing barriers was
developed
9. Intervention If the barrier assessment was preliminary to an intervention, what
was the intervention?
10. Intervention Intervention planning process: What was the larger process (actual,
implied, assumed) of which barriers assessment-planning Process
was a part? How did the findings related to barriers get translated
into an intervention?
11. Sampling How the sample for the study was selected.
12. Subjects Description of the population of subjects for the study and who
participated.
13. Analysis The strategies and techniques used to analyze the data relating to
barriers.
14. Findings The results of the study.
30
Table 2.3 -Characteristics of Included Studies
Reference Study Design Study Purpose/Aim Conceptual Framework or Theoretical Basis
Method of Assessing Barriers and Facilitators
Sampling/Subjects
Abrams 82, United States
Single centre feasibility study
Single center study of early mobilization in ECMO patients
None stated Program level description of mechanisms to increase mobility
Consecutive patients who received physiotherapy Receiving ECMO as a bridge to recovery or transplant (N=35)
Appleton 75, Scotland
Multi-centre survey To identify the perceived barriers to the provision of rehabilitation within Scottish ICUs
None stated Telephone survey No data provided on instrument development
Lead physicians (n=22, response rate 98%) and lead physiotherapists (n=23, response rate 100%) from all ICUs in Scotland.
Bahadur 95, United Kingdom
Single centre quality improvement study
To facilitate local quality improvement in early rehabilitation in critical care
None stated Prospective recording by clinicians of reasons for non-delivery of mobilization
Consecutive patients with tracheostomy in single ICU during 4-month study period (n=30)
Bakhru et al. 76, United States
Multi centre survey/ “environmental scan”
To evaluate “environmental factors” that influence early mobility
None stated Telephone survey using self-report of local practices by nurse leaders
Random selection of US hospitals stratified by regional density of hospitals and hospital size. (N=500)
31
Reference Study Design Study Purpose/Aim Conceptual Framework or Theoretical Basis
Method of Assessing Barriers and Facilitators
Sampling/Subjects
Balas et al. 92, United States
Single centre, multi-unit quality improvement project
To identify factors impacting on implementation of ABCDE bundle and to evaluate effectiveness of bundle implementation
Consolidated Framework for Implementation Research 55
Multiple - focus groups, on- line surveys, on-line evaluation of education
Complete sample of all staff members of inter-professional team from five adult ICUs (220 RNs, 70 RTs, 5 pharmacists, 2 PTs, 4 NPs, 1 PA, 17 attending MDs and 9 critical care fellows). Note that not all subjects participated in all methods of assessing barriers and facilitators.
Balas et al. 93, United States
Single centre, multi-unit cohort study (before/after)
To evaluate safety and effectiveness of ABCDE bundle and to identify “pitfalls” affecting implementation
Consolidated Framework for Implementation Research 55
Before after evaluation of implementation strategy
Consecutive patients before and after implementation of ABCDE bundle. Adult patients admitted to a medical or surgical ICU, including mechanically ventilated and non-mechanically ventilated patients. (N=146 pre and 150 post).
32
Reference Study Design Study Purpose/Aim Conceptual Framework or Theoretical Basis
Method of Assessing Barriers and Facilitators
Sampling/Subjects
Barber 89, Australia
Single centre focus group study
To determine barriers and facilitators of early mobilization in the ICU
None stated Discipline specific focus groups, transcripts analyzed using content analysis approach
Physicians (12), nursing (6), physiotherapists (7)
Bassett 104, United States
Multi-centre quality improvement project
To introduce an evidence-based progressive mobility program while simultaneously addressing cultural change in the ICU
None stated Monthly “Coaching and Strategy” calls including discussion of potential barriers as well as solutions/elements of innovation (“facilitators”)
Representatives from 13 ICUs in 8 hospitals
Berney 83, Australia
Single centre cohort study (nested from intervention arm of RCT)
To report the safety and feasibility of providing exercise training for patients who survive critical illness
None stated Prospective recording on case report forms of reasons sessions not completed
All potential mobility patient-sessions in intervention arm of an RCT (n=74)
Berney 43, Australia and New Zealand
Multi-centre point prevalence study
To document current PT mobilization practices in ICU patients, with a focus on those requiring >48 h of MV
None stated Point prevalence study of patients based on mobility in last 24 hrs. Collected by chart review using 30-item CRF completed by a research nurse or physiotherapy.
All admitted adult patients in an ICU at a pre-specified time point. (N=514, from 38 ICUs)
33
Reference Study Design Study Purpose/Aim Conceptual Framework or Theoretical Basis
Method of Assessing Barriers and Facilitators
Sampling/Subjects
Carrothers et al. 105, Unites States
Multi-centre quality improvement project
To identify barriers and facilitators to implementation of ABCDE bundle
Multiple (use of AHRQ and RAND Success Factors in survey)
Multiple - Gap analyses submitted by hospitals, site visits/interviews with staff, online staff survey, self-reported processes
Sampling not described specifically. Nurses, physicians, respiratory therapists, physical therapists, occupational therapists, QI/management team, physician assistants, nurse practitioners. (N=81 (from 4 hospitals))
Castro et al. 96, United States
Single centre quality improvement project
To assess and change mindset of staff towards mobilization
Plan, Do, Study, Act (PDSA)
Survey of staff pre-intervention, 6 months after implementation and 1 year after implementation, other barriers identified but methodology not specified.
Survey sent to all nurses in surgical intensive care unit (N=37, 34, 36; pre, 6 months post and 1 year post out of 56 nurses sent survey)
Dammeyer et al. 97, United States
Single centre quality improvement project
To implement early mobility
Iowa Model of Evidence Based Practice 114
Multiple - review of charts in previous year, review of PT data for reasons PT not delivered if criteria met to participate previously, description of challenges and successes during implementation process
Not described
34
Reference Study Design Study Purpose/Aim Conceptual Framework or Theoretical Basis
Method of Assessing Barriers and Facilitators
Sampling/Subjects
Drolet et al. 98, United States
Single centre quality improvement project
To improve rates of mobilization to ICU and intermediate care unit patients
“Plan-Do-Check-Act”
Before after evaluation of implementation strategy
Consecutive patients for 3 months pre-implementation and for 6 months post-implementation with ICU stay >72 hrs, (N= pre and 784 post)
Eakin et al. 90, United States
Single centre qualitative interview study
To identify “sustaining” factors supporting a program of early mobilization at a single centre
CFIR Semi-structured interviews based on CFIR domains
Purposive sampling for clinician category, experience and other demographics; included rehabilitation professionals, physicians, nurses, respiratory therapy, coordinator and PA (N=20)
Engel et al. 99, United States
Single centre quality improvement project
To establish a PT led early mobility program in the ICU and to achieve benefits described in the literature by physician-led programs
None stated Multiple – barriers identified during implementation through inter-professional meetings of team leading implementation. Also reported outcomes of implementation strategy at level of the patient (e.g. days to first physical therapy, distance walked)
All patients receiving PT, (N=179 (2009), N=294 patients (2010)). (Note that implementation outcomes measured in terms of patients but reported barriers include more informal assessment throughout implementation process)
35
Reference Study Design Study Purpose/Aim Conceptual Framework or Theoretical Basis
Method of Assessing Barriers and Facilitators
Sampling/Subjects
Garzon-Serrano 47 United States
Single centre cohort study
To measure mobility and barriers
None stated Prospective recording by clinicians of barriers
Consecutive patients admitted to surgical ICU in one month (n=63)
Harris et al. 100, United States
Single centre quality improvement project
To describe a local QI initiative in multiple ICUs within one hospital
None stated Discussion during meetings with RTs and nurse managers and physiotherapy, anonymous email survey to staff
Complete sample of critical care RT and nursing staff (for email survey). (N=32, response rate, characteristics of respondents not described)
Harrold 84 Australia and Scotland
Multi-centre observational cohort study
To identify barriers to mobilization in Australian and Scottish ICUs
None stated Prospective recording by treating physiotherapist for each patient day. Used pre-defined list of barriers and free-text. Local piloting of instrument
Mechanically ventilated patients in 10 ICUs in Australia (n=659) and 9 ICUs in Scotland (n=171)
Hildreth et al. 101, United States
Single centre local quality improvement study
To increase ordering of physical therapy and rates of mobilization using a protocol and computerized order entry in a surgical intensive care unit
None stated Before after evaluation of implementation strategy
Consecutive patients meeting eligibility criteria before and after intervention (N=50 pre and N=50 post; all surgical patients)
36
Reference Study Design Study Purpose/Aim Conceptual Framework or Theoretical Basis
Method of Assessing Barriers and Facilitators
Sampling/Subjects
Hodgin et al. 68, United States
National survey To document current PT practice in ICU patients, and clinical factors predicting PT practice
None stated Paper mailed survey using clinical scenarios with varied admitting diagnoses to establish predictors of physiotherapy practice. Also asked questions re: demographics of hospital and PT staffing.
Mailed survey to all members of acute care section of American Physical Therapy Association (N=490 PTs (response rate 50%))
Holdsworth et al., Australia 91
Cross-sectional survey
To identify attitudinal, normative, and control beliefs toward mobilizing ventilated patients in the ICU
Theory of Planned Behaviour
Electronically administered 9-item elicitation questionnaire
Snowball sampling of inter-professional team in a single ICU (N=22). Questionnaire sent to inter-professional team but demographic data not collected to maintain confidentiality.
Jolley et al. 78, United States
Multi-centre cross sectional study
To document physical therapy practice and “process of care” factors associated with that practice
None stated Telephone survey of hospital/ICU level process factors and specific questions about sedation and staffing as barriers as well as a question about the "biggest barrier" faced
Single nurse manager from each medical ICU at each eligible hospital (Acute care non-children hospitals in Washington state) invited for participation. (N=47 out of 54 eligible)
37
Reference Study Design Study Purpose/Aim Conceptual Framework or Theoretical Basis
Method of Assessing Barriers and Facilitators
Sampling/Subjects
Jolley et al. 77, United States
Single centre cohort study
To identify predictors of physical therapy in patients requiring mechanical ventilation for at least 14 days
None stated Retrospective chart review to identify demographics and cross sectional clinical variables (day 14) predicting mobilization
Consecutive patients meeting inclusion criteria (at least 18 yrs old, MV at least 14 d with no interruption of greater than 48 hrs). (N=175)
Jolley 106, United States
Single centre survey study
To investigate whether clinicians in MICU at one hospital are knowledgeable about barriers and to identify perceived barriers to delivery of mobility
None stated Survey – written or electronic. Used pre-populated list of potential barriers based on current known literature (different for physicians vs. nursing vs. PT) with open text option. Multiple professional inputs sought in development of instrument via focus groups.
Physicians (n=91), nurses (n=17), physiotherapists (n=12).
King 79, Canada
National survey To collect data on use of mobilization in intubated patients in ICUs in Canada
None stated Paper survey. Items developed from literature. Piloted with physiotherapists, nurses and physicians.
Survey sent to all hospitals in Canada with 10 or more ICU beds. Physiotherapists (n=81), nurses, (n=18), physicians (n=81)
38
Reference Study Design Study Purpose/Aim Conceptual Framework or Theoretical Basis
Method of Assessing Barriers and Facilitators
Sampling/Subjects
Leditschke 107, Australia
Single centre practice audit
To assess frequency of early mobilization and identify barriers to early mobilization
None stated Prospective recording for each patient day by physiotherapist
Consecutive patient-days in the ICU during a 4-week audit period. Patients admitted to a mixed medical-surgical tertiary ICU (n=327 patient-days)
Malone et al. 42, United States
National survey To document current PT practice, demographics, staffing patterns, barriers to physical therapy in the ICU
None stated Paper mailed surveys consisting of demographic questions, questions about hospital staffing and training and hospital processes, questions about practice in hypothetical clinical scenarios
Mailed survey to all members of acute care section of American Physical Therapy Association (N=512, (667 surveys returned but not practicing in relevant area; response rate 29%)
McWilliams et al. 85, United Kingdom
Single centre quality improvement project
To measure the impact of an early mobilization program on ICU length of stay and to identify barriers to mobilization
None stated Retrospective review of patient chart for patients not mobilized by day 5 of admission
Complete sample (excluding patients in ICU <48h) during a 3-month period (N=65 total; N=14 eligible but not mobilized; N=17 mobilized; N=34 not eligible to mobilize)
39
Reference Study Design Study Purpose/Aim Conceptual Framework or Theoretical Basis
Method of Assessing Barriers and Facilitators
Sampling/Subjects
Miller et al. 80, United States
Multi-centre survey study
To describe implementation of components of ABCDE bundle and association with outcomes
None stated Written survey of self-reported compliance at hospital level with awakening, delirium assessment and early mobilization components of ABCDE bundle; included questions re: institutional processes regarding implementation of practices.
Convenience sample of 278 representatives of 51 hospitals attending annual meeting of QI collaborative. (N=212, 76% response rate)
Needham 40, United States
Single centre quality improvement project
To improve physical medicine and rehabilitation service in medical ICU
Structured QI model from Pronovost 115
Small group meetings with local stakeholders and regular group meetings with multidisciplinary champions
Nurses (n=66), respiratory therapists (n=45), attending physicians (n=13), fellows (n=12), others (neurologists, physiatrists, occupational therapy/physical therapy)
Skinner 81, Australia
National survey To document prescription and measurement of exercise by physiotherapists in ICUs in Australia
None stated Survey – questions about factors affecting exercise prescription
Survey sent to one senior physiotherapist from each Australian adult ICU in the ANZICS database. N=111
40
Reference Study Design Study Purpose/Aim Conceptual Framework or Theoretical Basis
Method of Assessing Barriers and Facilitators
Sampling/Subjects
Talley et al. 103, United States
Single centre quality improvement project
To develop and implement an early mobility protocol for patients on continuous renal replacement therapy
None stated Program level narrative description of experiences while implementing program. Note that individual patients are described but not with respect to barriers.
N/A
Thomsen et al. 86, United States
Single centre cohort study (before/after with patients acting as their own controls)
To determine whether transfer of patients to a unit with a mobility protocol improved rates of ambulation
None stated Assessment of rates of ambulation before and after transfer to a unit with a mobility protocol
Consecutive patients who met criteria (respiratory failure requiring >4 d of MV, not terminally ill, not re-admitted, no neurologic disease precluding activity) (N=104)
Titsworth et al. 41, United States
Single centre cohort/QI study
To describe a mobility program for neuro ICU patients at a single centre
None stated Program level narrative description of elements felt to be important to implementation; before/after implementation data
Consecutive patients during two-week period before and after implementation (N=77 (pre) and N=93 (post))
41
Reference Study Design Study Purpose/Aim Conceptual Framework or Theoretical Basis
Method of Assessing Barriers and Facilitators
Sampling/Subjects
Winkleman et al. 88, United ``States
Single centre interview study (clinicians) and patient cohort study
To examine nurse perceptions of barriers and facilitators to progressive mobility
Change framework 116
Semi-structured interviews conducted prior to any activity related to patient mobility. Topic guide constructed from pilot data from staff nurses, with content validation by content experts after guide was developed.
Convenience sample of patients from two closed ICUs involved in a larger study of mobility. Patient participants (n=49), nurse participants (n=33)
Winkleman et al. 87, United States
Cohort study single institution
Primary purpose was to measure effects of exercise, also measured reasons for delay/not doing mobility
None stated Prospective narrative recording of reasons given by bedside nursing staff if "no exercise" occurred
Consecutive patients meeting eligibility criteria (>48H of mechanical ventilated, anticipated to have at least 24 hrs more) N=75
42
Table 2.4 - Barriers and Facilitators by Theoretical Domain
Domain Specific Barrier/Facilitator
Knowledge Awareness of national/external guidelines75
Staff education as part of multimodal implementation strategy 41,90,92,98,104,105 Nursing staff education about role and skills of physiotherapist97,100
General knowledge around mobilization 81,96,105
Knowledge of ABCDE bundle92 Coaching or hands on teaching 104,105
Physiotherapist education about critical care issues42,100
Skills Inadequate “training” 42,89,91,96,105
Value of hands on “coaching” or support during mobilization 104,105 Social/Professional Role and Identity
Staff role in quality data collection 104
Creation of inter-professional teams / committees to advance early mobility41,90
Importance of a mobility “champion” 89,90,92,104,105
Explicit definition of roles for mobility (e.g. nurse responsibility, right MD for activity order) 89,96,97,103
Creation of “mobility team” with dedicated role 82,89
Role for family in goal setting 75 Difference in practice between professions in likelihood of mobility 47
Belief that mobility is outside of usual role47
Beliefs About Capabilities
Belief in own ability due to prior experience 92 Academic environment increases confidence42
Confidence improved with time/experience 92
Some patients more difficult to mobilize due to weight or high need for assistance 76,81,96
Staff empowered to modify physiologic support during mobility to maintain session without MD order 82
Beliefs About Consequences
Statement that mobility generally beneficial or non-beneficial or harmful 75,92,96,99,106
Mention of specific benefits of mobility 79,81,91,96,106
Concern re: patient safety (includes tubes/lines being pulled out) 40,77,79,81,91,94,96,100,104,106,107 Physiological factors impacting on likelihood of mobility (specific or general) 40,43,47,75,81-84,86-88,91,94-97,100,106
Diagnostic factors impacting on likelihood of mobility 42,68,79 Patient discomfort 47,81,96
Change in staff workload or increased staff stress 91,92,104,106
Risk of injury to staff 106 Belief that rest beneficial 97,104
Belief that mobility increases cost or is cost saving90,106
Reinforcement Lack of “accountability” of staff to make sure mobility happens 89,105
Using incentives to motivate staff 104 Lack of recognition for less visible parts of mobility process (e.g. preparation) 97
Intentions General expression of agreement with mobility or intention to mobilize77,81,100
Plan to mobilize patients87,88
43
Domain Specific Barrier/Facilitator Goals Explicit goal setting helpful 75,76
Collaborative team approach to goal setting (including MDs) 75,89,97
Memory, Attention and Decision Processes
Use of reminders or prompts or automatic processes to ensure evaluation by PT or to prompt progression of PTs 82,101,103,104 Staff have other priorities that compete for attention 76,96
Environmental Context and Resources
Culture generally supportive or not of mobility 75,76,90,100
Quality improvement culture 80,105 Culture of sedation of ICU patients 40,42,43,75,78,80,81,83-86,88-90,94,97,106
High staff turnover or high use of casual staff 105
Physiotherapy staff dedicated to ICU 76,90,97,99,100
Adequate funding 75 Adequate rehabilitation staff or time 42,68,75,76,81,85,89,99,104
Adequate nursing staff or time 77,104
Adequate respiratory therapy time 77
General need for increased resources or increased staffing 40,75,78,92,94,96,100,104,105
Adequate equipment or need for specialized equipment 40,75,81,82,88-
90,94,96,99,103,104,106
Characteristics of institutions – academic, size 42,78,80 Challenges in scheduling multiple staff members to be in unit and available at the same time or scheduling around patient procedure 84,100,105
General resource lack 76,84 Social Influences Importance of leadership support 40,89,92,94,105
Inter-professional collaboration and respect 41,75,91,97,100,104,105
Inter-professional communication 97,100,104 Patient refusal or engagement 75,83,87,97
Importance of physician support 92,104,105
Use of slogan to promote mobility41
Behavioural Regulation
Use of reminders or automatic processes (including by EHR) 41,82,97,105 Use of a protocol or structured program to guide mobility eligibility, progression, sedation 41,42,68,75,76,78,88,97,101
Structured inter-professional rounds 76,92,105
Need for MD order or referral to initiate mobility/ Presence of MD order restricting mobility47,88,96,97,99,104,107,40,68,81,94
Use of ABCDE approach80,97
Adopt “opt out” philosophy – where mobility is standard of care and order is required to stop (or reverse) 41,68,79,89,100
Collection and sharing of QI data with staff41,80,104
Purposeful QI intervention including inter-professional meetings 92,93,98-101,105 Rehearsing mobility 103
44
Table 2.5- Domains of the TDF by Study Included in the Systematic Review
Know-ledge
Skills Social /Professional Role and Identity
Beliefs about Capa-bilities
Beliefs about Consequences
Reinforce-ment
Intentions Goals Memory, Attention and Decision Processes
Environ-mental Context and Resources
Social Influences
Behav-ioural Regulation
Abrams et al. X X X X X
Appleton et al. X X X X X X X
Bahadur et al. X
Bakhru et al. X X X X X X
Balas et al., 2013 X X X X X X X
Balas et al. 2014
Barber et al. X X X X X X X X
Bassett et al. X X X X X X X X X
Berney et al., 2012 X X X
Berney et al., 2013 X X
Carrothers et al. X X X X X X X
Castro et al. x X X X X X X X
Dammeyer et al. X X X X X X X X
Drolet et al. X X
Eakin et al. X X X Engel et al. X X X
Garzon-Serrano et al. X X X
Harris et al. X X X X X X
Harrold et al. X X
Hildreth et al. X X X
Hodgin et al. X X X
Holdsworth et al. X X X X
Jolley et al. 2014 BMC Anesthesiol
X X X
Jolley et al. 2014 Dimens Crit Care
X X
Jolley et al., 2015 X X
King et al. X X
Leditschke et al. X X X
45
Know-ledge
Skills Social /Professional Role and Identity
Beliefs about Capa-bilities
Beliefs about Consequences
Reinforce-ment
Intentions Goals Memory, Attention and Decision Processes
Environ-mental Context and Resources
Social Influences
Behav-ioural Regulation
Malone et al. X X X X X X
McWilliams et al. X X
Miller et al. X X
Needham et al. X X X X
Skinner et al. X X X X X X
Talley et al. X X X
Thomsen et al. X X
Titsworth et al. X X X X
Winkleman et al., 2010
X X X X
Winkleman et al., 2012
X X X X
Total studies identifying each domain
12 6 13 6 26 4 5 4 6 30 12 26
46
Figure 2.1 – Screening and included studies for systematic review
Records after duplicates removed =
1488
Records screened = 1488
Records excluded
(n = 1363)
Full-text articles assessed
for eligibility = 125
Full-text articles excluded
(n = 87)
Studies included in final
results = 38
47
Chapter 3. Barriers and Facilitators to Early Rehabilitation
in the Intensive Care Unit – A Theory Driven Interview Study
3.1. Summary of Previous Chapter
In the previous chapter, we demonstrated that the existing literature rarely includes the use of theory or
guiding frameworks. Using the TDF as a tool for synthesis, we found a heavy focus on three domains of
the TDF – Beliefs about Consequences, Environmental Context and Resources and Behavioural
Regulation, as shown in Figure 3.1. We therefore undertook a TDF-driven Delphi study to understand
whether using a theory-driven approach would identify different barriers and facilitators. Chapter 3
describes the first round of the Delphi, which consisted of semi-structured interviews with ICU clinicians.
3.2. Background
3.2.1. The Consequences of Critical Illness
Traditionally, critical illness involved a period of deep sedation and immobility. However, deep
sedation can be harmful 117,118, and critical illness is associated with significant muscle atrophy
and weakness 62,119, with survivors of critical illness frequently experiencing long lasting
physical, cognitive and psychological effects 5,6,9,10,120. Physical rehabilitation, initiated early in
the course of critical illness, is an active area of research within critical care. Observational
studies to date have demonstrated the safety and feasibility of early rehabilitation with
critically ill patients 22,24,65,110 and the successful implementation in single centres 40,94.
Furthermore, randomized trials, summarized in recent systematic reviews 121,122, as well as a
48
more recent single-centre study demonstrate improved patient-centred outcomes with early
rehabilitation strategies 123.
3.2.2. Knowledge Translation and Early Rehabilitation
Despite a small supportive evidence base and a significant push to implement such practices
31,32,124,125, uptake of early rehabilitation has been at best inconsistent. Point prevalence studies
have documented low levels of involvement of physical therapists in the intensive care unit
(ICU) and low rates of implementation of rehabilitation 42,44,68,126. Prior work studying barriers
to implementation of early rehabilitation strategies in the ICU has focused on resource issues
and concerns about patient tolerance and safety primarily from the perspective of physical
therapists and physicians, with minimal input from nurses and no input from respiratory
therapists.
3.2.3. The Theoretical Domains Framework and Complex Interventions
There is broader evidence that the translation of complex, evidence-based interventions into
clinical practice is often a slow and haphazard process 36,111. Early rehabilitation incorporates a
number of elements of complexity that may make it particularly challenging to implement – the
multiple steps involved, the involvement of multiple clinicians, the changing nature of ICU
patients and the need for real-time tailoring in the delivery of the therapy. It has been argued
that implementation and clinician behaviour change may be facilitated through the application
of theory to systematically identify the hypothesized causal mechanisms and factors influencing
clinical practice 74,127. The Theoretical Domains Framework (TDF) 49,50 of behaviour change
49
synthesizes constructs from 33 behaviour change theories into 14 ‘construct domains’, or
clusters of related constructs, that may explain practice change or, alternatively, the absence of
change (Table 3.1). It has been applied as a framework for developing questionnaires and
interview topic guides across a range of clinical contexts to systematically explore the barriers
and facilitators to clinician behaviour change 51,128. Each domain represents a range of related
constructs that may influence clinician behaviour. For example, the domain “Social influences”
encompasses overlapping constructs such as professional identity, boundaries, confidence,
leadership, and organizational culture/climate.
3.2.4. Study Question
This study explored clinician-reported barriers and facilitators to early physical rehabilitation in
critically ill patients receiving invasive mechanical ventilation. Additionally, the study assessed
relative importance of the identified barriers to the practice of early rehabilitation.
3.3. Methods
3.3.1. Study Design
This was a semi-structured interview study, based on the TDF, with a focus on ICU clinicians’
perceptions of barriers and facilitators to early rehabilitation.
3.3.2. Participants
Participants were purposively sampled from one of four clinician groups: critical care nurses,
critical care physicians, respiratory therapists and rehabilitation professionals (physical
therapists and occupational therapists) to achieve diversity in terms of years of experience,
50
academic vs. non-academic work environment, leadership position and ICU size. Eligible
participants had to be working as independent practitioners in their specialty and primarily
caring for adult patients. Because of the variation across units in staffing models, particularly
for rehabilitation professionals, participants did not have to work exclusively in an ICU to be
included in the study, but were required to identify critical care as a focus in their practice.
Clinicians from both Canada and the United States were invited to participate.
Given the inter-professional nature of the study sample, a variety of recruitment sources were
used to identify potential participants and adapted throughout the study to achieve the goals of
maximum variation sampling as described above 129. Initially, participants were recruited
through the “ICU Recovery Network” (IRN), an online interest group of clinicians interested in
critical care rehabilitation and recovery from critical illness. In addition, professionals were
recruited through professional associations and collaborative research groups in both Canada
and the United States.
3.3.3. Development of Topic Guide
A semi-structured interview topic guide was developed based on the TDF and expert knowledge
from the author group. To ensure we systematically and comprehensively applied the
framework to explore potential theoretical barriers/facilitators, at least one question for each
of the fourteen domains of the TDF was included. The interview guide was drafted by a subset
of investigators, including two critical care clinicians (SLG and BHC) and two health
psychologists with expertise in the TDF (JF and FL). Questions were revised and rephrased
following feedback from the wider investigator team to minimize duplication and enhance
51
clarity, clinical relevance and completeness. The interview guide was piloted with one clinician
from each of the four clinical stakeholder groups and question ordering and wording further
revised as needed.
To assess the extent to which the questions were likely to elicit responses related to each
domain, the questions were independently coded into theoretical domains by a health
psychologist with expertise in the TDF (AP). The reliability of this coding was assessed with
Cohen’s Kappa, with a Kappa value of 0.75 taken to represent high agreement 130.
Discrepancies were resolved through discussion, and if necessary, question phrasing further
revised. The final interview topic guide is shown in Table 3.2.
All interviews were conducted by a single member of the study team (EK) by telephone. All
interviews were audio-recorded, transcribed verbatim, checked for accuracy and anonymized.
3.3.4. Analysis
Using NVivo (Version 10), data were analyzed using a content analysis approach with the
following steps 131. Using the TDF as a coding framework, two investigators (SG, FL) first coded
transcripts from the 4 pilot interviews to practice the allocation of interview data to TDF
domains and establish coding heuristics as needed. The final pilot interview using the final
version of the topic guide was incorporated into the full study sample. All participant
utterances within each transcript were assigned to TDF domains by one investigator (SG). If a
response addressed more than one domain, it was allocated to all relevant domains. A sub-
sample of 10% of transcripts was independently coded by a second investigator (FL) to assess
52
inter-rater reliability using Cohen’s Kappa. Any discrepancies were resolved through discussion
or consultation with additional members of the investigator team (BC, JF).
Following initial coding, participants’ responses across transcripts were compared within each
domain. Responses that were thematically similar were grouped to inductively identify a ‘belief’
relevant to early rehabilitation. Additional detail on these methods is provided in Figure 3.2.
Frequency data were also generated to describe the total number of participants endorsing
each belief, both for the whole group and for each professional group. Analysis of interviews
was continued until saturation was achieved, with at least two additional interviews per group
analyzed beyond that point 132.
An expert consensus group comprising the wider investigator team met in person to review all
domain and belief coding for clinical and theoretical face validity, including a consideration of
how important each belief was to early rehabilitation. All disagreements about judgments
were resolved through group discussion. To establish importance, the group collectively
reviewed each belief with the following considered as evidence of importance: (1) high
frequency of belief (more than half the participants), (2) any participant expression of
importance (e.g. “it’s critical to educate the staff”, (3) discord among participants about belief
as a barrier or facilitator, (4) differences between clinician groups in frequency by at least 5
participants and (5) whether a belief was expressed spontaneously versus prompted by a direct
question. A similar approach to understanding importance has been used in prior TDF work
53,133. Beliefs were classified as “low importance” if zero or one of the five criteria was met and
53
of moderate importance if two criteria were met. All other beliefs were classified as high
importance.
3.3.5. Ethical Considerations
This study was reviewed and approved by the Research Ethics Board at Sunnybrook Health
Sciences Centre. Participation in the study was voluntary and all data was anonymized.
3.4. Results
3.4.1. Participants
Forty participants were included. Saturation was achieved for each of the four clinician groups
by a maximum of 8 interviews. The purposive sampling strategy was successful in achieving
diversity in the sample. Interviews lasted a mean of 46 minutes (range: 20-80 minutes).
Participant details are shown in Table 3.3.
3.4.2. Inter-Rater Reliability
Inter-rater reliability for blinded assignment of questions to TDF domains was 0.89. Inter-rater
reliability for duplicate coding of transcripts into TDF domains was 0.74.
3.4.3. Results by Domain
54
A total of 135 beliefs related to early rehabilitation were identified across the fourteen domains
of the TDF. Of these, 19 were classified as high importance, 40 of moderate importance and 76
of low importance as barriers or facilitators of early rehabilitation (Figure 3.3).
All beliefs classified as highly important fell within one of seven domains from the TDF: Skills,
Social/professional role and identity, Beliefs about capabilities, Beliefs about consequences,
Environmental context and resources, Social influences and Behavioural regulation. As shown
in Figure 3.3, domains with high importance beliefs also contained the highest number of
beliefs identified. Beliefs of high or moderate importance are shown in Table 3.4 with exemplar
quotations. High importance beliefs are elaborated in more detail below.
Skills
Participants reported that early rehabilitation was facilitated by working with experienced
colleagues, specifically through enhanced skill development.
Social/Professional Role and Identity
Underscoring the fact that early rehabilitation is a complex, team level behaviour, a large
number of specific roles were identified for a variety of team members. In particular, physician
roles as team leaders and as those who identify appropriate patients for rehabilitation were
identified as important, although most frequently by the physician group rather than by other
participant groups. However, the importance of a general “leadership role” for physicians was
emphasized by all professional groups.
Beliefs about Capabilities
55
Most participants reported that early rehabilitation was a difficult and complex therapy to
deliver (a potential barrier); however, some felt that it was fairly “easy” and fell within their skill
sets as ICU clinicians.
Beliefs about Consequences
Participants reported a broad range of benefits of early rehabilitation. In particular, improved
strength or muscle mass, improved long term function, improved mental health and shorter
duration of mechanical ventilation were identified as important.
Environmental Context and Resources
Participants had conflicting views about resources. In particular, there was a range of views
about the adequacy of staffing for early rehabilitation; some reported severe under-staffing as
a barrier, while some felt staffing was adequate. There was similar diversity of views about
whether “specialized” equipment was a facilitator. However, there were similar views both
across and within professional groups that coordinating the various staff members and
equipment needed at a time that was optimal for a patient was a significant barrier. There was
also consistency in the belief that a staffing model for early rehabilitation that included
physiotherapists specifically assigned to the ICU, rather than a rotating model was a facilitator,
allowing staff to gain expertise and skills needed to work with critically ill patients.
Social Influences
There was a frequently held view that local “champions” facilitated early rehabilitation; this
view was held by more than half of the nurse and physician groups, but none of the
56
rehabilitation professional group and only one respiratory therapist. It was also reported by
6/10 nurses, 4/10 nurses and 4/10 physical therapists, and none of the respiratory therapists
that the support of ICU leadership was important. Family members were reported by all
professional groups to influence early rehabilitation, although sometimes as a facilitator and
sometimes as a barrier. All participants reported that discord or resistance from colleagues
could be an important barrier to early rehabilitation.
Behavioural Regulation
The importance of receiving feedback about early rehabilitation as a facilitator was noted by all
groups; however, there was a range of views about whether or not feedback was actually
received (a potential barrier). A unit protocol to guide early rehabilitation practice was
reported by all groups as a facilitator.
3.4.4. Domains of Lower Importance
Seven domains were identified as lower importance, on the basis of the number of unique
beliefs and the absence of direct expressions of importance beliefs: Knowledge, Optimism,
Reinforcement, Intention, Goals, Memory, Attention and Decision processes and Emotion.
3.4.5. Differences Between Professional Groups
Quantitative differences in stated beliefs about early rehabilitation were not common, when a
difference was defined as at least 5 between professional groups. Eighteen of the 59 beliefs
(31%) of at least moderate importance showed evidence of a difference in frequency between
57
groups. In most cases (13/18, 72%), physicians were one of the two groups who differed. Most
of the beliefs (13/18, 72%) fell under one of either Social/Professional role and identity, Skills or
Social Influences. With Social/professional roles, the differences were largely related to roles
participants assigned to their own professional group. For example, physicians frequently
reported that they were responsible for goal setting, whereas physiotherapists did not identify
this as a physician’s role.
Most physiotherapists reported the importance of practical experience for development of
skills (7 of 10) compared with only 2 of 10 in each of the other professional groups (skills
domain). Physicians and nurses reported the importance of “local champions” in early
rehabilitation but no members of the physiotherapy group and only 1 respiratory therapy group
thought this.
3.5. Discussion
This study used the TDF to study the beliefs of ICU clinicians regarding the barriers and
facilitators to early rehabilitation in mechanically ventilated patients. We identified seven
domains of the TDF which were most relevant to the behaviour of clinicians. Domains of high
importance were Skills, Social/professional role and identity, Beliefs about capabilities, Beliefs
about consequences, Environmental context and resources, Social influences and Behavioural
regulation. Differences between professional groups were uncommon. The importance and
level of elaboration of the domain Social / professional role and identity was noteworthy in this
study. TDF studies that investigate clinical behaviour most often report beliefs about
consequences (reflecting clinical thinking in terms of the balance between benefits and risks) as
58
the most populated domain (e.g. Duncan, 2012) 134. The importance of professional role in the
current study provides a clear indication that team-work and role clarity may be key to
achieving appropriate early rehabilitation practice.
This study also underscores that early rehabilitation is a highly complex intervention.
Complexity may have many different elements – the intervention may have multiple
components, involve multiple groups or targets, and may be tailored to the circumstance 135. In
addition, the causal links between the intervention and the desired (or undesired) outcomes
may also be complex through number of outcomes, mediators, feedback loops or synergy with
other interventions for example 135. In this study, we found the domain of Social/professional
role and identity to be highly elaborated, in part because of the many different professions
involved and because of the many different roles specific to the behaviour (e.g. goal setting,
identifying appropriate patients, carrying out rehabilitation). Not only does early rehabilitation
involve multiple types of clinicians, it also requires clinicians to interact and work together as a
team. To that point, we found that the domain of Social influences was particularly important,
underscoring that in addition to the specific roles team members play, the interactions
between those members can influence behaviour.
Using a theoretically driven strategy had several key advantages in our study. First, this
approach facilitated a broader view of barriers and facilitators than prior literature. Similar to
prior literature 75,79,88,89,108, we found that the domains of Beliefs about consequences and
Environmental context and resources, were highly elaborated in our data set, with a high
number of beliefs identified within these domains. However, this study also demonstrated
59
important factors not previously emphasized in the literature, in particular in the domains of
Social influences, a domain not commonly targeted in quality improvement interventions. The
domain of Social Influences includes constructs such as intergroup conflict, social norms and
power. Although themes of inter-professional collaboration and conflict have been explored in
the literature 136-138, these have been rarely applied by clinicians in implementation research.
A second advantage of using a theoretically driven strategy is the potential for linkage to
interventions for behaviour change. Michie et al. have identified behaviour change techniques
and mapped them to theoretical domains as a starting point for the development of
interventions 74. For example, leveraging local opinion leaders may be a useful intervention to
target the social influences domain 139, which was felt to be important by participants in our
study.
Our study also identified the domain of Behavioural Regulation as important to our
participants. Behavioural Regulation strategies might include protocols designed to provide
structure to the delivery of a complex intervention. They might also include a reliable time and
place to discuss delivery of early rehabilitation, such as inter-professional rounds, as reported in
our study. Such strategies are actually commonly reported in quality improvement literature,
although rarely labelled as Behavioural Regulation. A recent cross-sectional study of hospital
factors that influence early rehabilitation demonstrated that a formal protocol for early
rehabilitation was associated with increased uptake 77, a strategy which falls under the domain
of behavioural regulation. In a non-randomized interventional study, Hanekom et al.
demonstrated that the introduction of a protocol for early rehabilitation increased frequency of
60
rehabilitation sessions and reduced waiting time 140. Using a theoretical framework to label
these (labour-intensive) interventions allows implementation scientists to link back to
behaviour theory and apply them where they are likely to be most effective.
A third advantage is to identify those domains that are less important, so that efforts and
resources can be focused away from those areas. For example, the Knowledge domain was not
found to contain a high number of beliefs in this study, suggesting that educational
interventions may not be key to improving uptake of early rehabilitation, consistent with prior
knowledge translation research, which has shown only modest effects of educational
interventions on clinician behaviour 34,141.
This study has some limitations. First, participants were volunteers recruited from online
interest groups and professional organizations. Both by virtue of being volunteers and for some
participants, by being members of an interest group, there may be inherent selection bias. A
high number of participants reported determination to engage in early rehabilitation
(intentions domain). However, although they generally had a positive view of early
rehabilitation, they identified a range of barriers across most domains of the TDF. For example,
within the domain of Beliefs about consequences, participants endorsed a high number of
specific positive associations with early rehabilitation. While there is some evidence to support
the practice, some of the specific beliefs endorsed by participants are not supported in the
literature (e.g. mortality benefit). In addition, there was a commonly held belief that future
literature would demonstrate further benefit (Optimism domain). Participants may have
61
experienced the equivalent of a “halo effect” 142, where a generally positive view of early
rehabilitation creates a cognitive bias leading to other positive beliefs about early rehabilitation
which may not be supported by evidence.
A second limitation is in the methods by which we identified important beliefs and important
domains. Our interviews generated a large volume of data and it was necessary to try to
identify those domains that were most important, in particular with the view that targeted
interventions should be focused on those barriers and facilitators most likely to impact on early
rehabilitation. We used a variety of methods (e.g. frequency, assertions of importance) to
identify important domains based on work in prior literature 53, but it is not yet established that
this method will lead to more successful interventions.
Conclusions
Using a theoretically driven approach, this study identified important barriers and facilitators to
early rehabilitation in ICU patients. Differences between professional groups were uncommon,
but where they exist, highlight the importance of involving an inter-professional team in
implementation. Further work is required to validate our method for identifying importance
and to determine the frequency of barriers and facilitators in other stakeholder groups.
Domains identified as important should be targeted when designing interventions to increase
uptake of early rehabilitation going forward.
62
Table 3.1-Domains of the Theoretical Domains Framework and example questions from Topic Guide
Domain Description Example Question From Topic Guide Knowledge Knowledge/awareness of the scientific
rationale, evidence base and how to perform the behaviour
Are you aware of any hospital or unit guidelines or clinical protocols regarding early rehabilitation for ICU patients in your institution?
Skills Ability to perform the behaviour of interest, including safety, use of equipment. May include non-technical skills.
What skills are needed for you to undertake early rehabilitation with ICU patients?
Social/profes-sional role
Belief about one’s own role, as well as the role of others in the target behaviour.
To what extent does early rehabilitation fit with your professional role as a doctor/nurse/etc?
Beliefs about capabilities
The degree to which a clinician feels he/she/the team can perform the target behaviour
How confident are you in undertaking early rehabilitation with an ICU patient?
Optimism Belief that things will turn out for the best. In general, how important do you think early rehabilitation will be in the care of ICU patients in the future?
Beliefs about consequences
The influence of expected positive or negative outcomes of the behaviour. May include outcomes for others (e.g. patients) or for clinicians.
What do you see as the benefits of undertaking early rehabilitation?
Reinforcement Strategies to change likelihood of behaviour by making it contingent on reward or punishment.
Are you aware of any consequences for NOT undertaking early rehabilitation?
Intentions The degree to which the individual means to perform the behaviour.
How determined are you to engage in early rehabilitation with ICU patients?
Goals The end states that the behaviour is meant to achieve.
How are goals for early rehabilitation set? Are they explicitly stated?
Memory, attention and decision processes
The ability to pay attention to relevant information and make appropriate decisions.
How are decisions made in your unit about which ICU patients receive early rehabilitation?
Environmental context and resources
The influence of the environment on the individual’s performance of the behaviour – includes culture, human and other resources
What physical setup of the ICU is best for early rehabilitation? How close is your ICU to the ideal setup?
Social influences
The influence of others (health care providers, experts, patients, etc) on the behaviour.
To what extent do the views or practices of other team members influence how you undertake your role in early rehabilitation?
Emotion The role of both positive and negative emotions on performance of the behaviour.
To what extent does undertaking early rehabilitation affect you emotionally?
Behavioural regulation
Purposeful strategies to overcome obstacles to behaviour.
Are there strategies to improve early rehabilitation when goals are not met?
63
Table 3.2 - Topic Guide
1. How would you describe “early rehabilitation” for ICU patients?
• What does “rehabilitation” mean in this context? (synonyms, physiotherapy, mobilization, etc)
• What activities might qualify as early rehabilitation?
• What does “early” mean in this context? How long after ICU admission?
For the purposes of this interview, we will use the term “early rehabilitation” to refer to physical
rehabilitation activities that occur during the ICU stay, even while the patient is mechanically
ventilated.
2. In your view, what is the biological rationale for early rehabilitation?
• How consistent is the evidence base with the biological rationale?
3. What do you think is the evidence for early rehabilitation for ICU patients in the published
literature?
• Is there evidence for benefit?
• What about harm?
• How strong is that evidence?
• How credible is the evidence?
4. Are you aware of any hospital or unit guidelines or clinical protocols regarding early rehabilitation
for ICU patients in your institution?
• Is there a document?
• Have you read the document?
• Are you aware of what they say?
• How credible do you think these guidelines/policies are?
5. What specific roles do YOU play in undertaking early rehabilitation with ICU patients?
• To what extent does early rehabilitation fit with your professional role as a doctor/nurse/etc?
6. What specific roles do other clinicians play in early rehabilitation?
• Which clinicians should be involved? In what parts of early rehabilitation should they be involved?
• What roles do the leaders within the unit play in facilitating early rehabilitation?
7. How does undertaking early rehabilitation with ICU patients fit in with the other responsibilities of
your job?
• Are there other activities that require your attention that interfere with early rehabilitation?
• How do you balance early rehabilitation with those other activities?
64
8. How are decisions made in your unit about which ICU patients receive early rehabilitation?
• Who is involved?
• Is there a process or routine for this?
9. How determined are you to engage in early rehabilitation with ICU patients?
• Are there things that interfere with your intentions?
10. What skills are needed for YOU to undertake early rehabilitation with ICU patients?
• To what extent do you feel you have these skills?
• How can these skills be developed?
• What facilitates the development of these skills?
• What interferes with the development of these skills?
• Are there other “non-technical” skills that are needed?
• Do other types of clinicians need the same skills for early rehabilitation?
11. How confident are you in undertaking early rehabilitation with an ICU patient?
• What things would improve your confidence?
• What things would improve your team’s confidence?
• What things would decrease your confidence?
12. How easy or difficult do you find early rehabilitation with ICU patients?
13. What do you see as the most important goals in undertaking early rehabilitation with ICU
patients?
14. How are goals for early rehabilitation set?
• Who sets them?
• Are they explicitly stated?
• How are goals adapted in response to changes over time in the patient’s clinical status?
• How are goals adapted in response to events that occur during a physiotherapy session?
15. What do you see as the benefits of undertaking early rehabilitation?
• Are there short-term benefits (e.g. during the ICU stay)?
• Are there long-term benefits (e.g. after the ICU stay or after the hospital stay?)
• Do these benefits differ according to different types of patients?
• What types of physical benefits are there?
• What types of cognitive (e.g. thinking, mental processing) benefits are there?
• What types of mental, psychological or psychiatric benefits are there?
65
16. What do you see as the risks or adverse consequences that can occur as a result of undertaking
early rehabilitation?
• Are there patient safety concerns?
17. What resources are needed to undertake early rehabilitation?
• What equipment is needed?
• What physical setup of the ICU is best? (e.g. layout of the rooms, the unit)
• How close is your ICU to the ideal setup?
• To what extent do you feel your hospital already has the necessary levels of these resources?
• Are these resources consistently available and functioning when you need them?
• What staffing is required? Is your hospital staffing adequate?
18. To what extent do the views or practices of other team members influence how you undertake
your role in early rehabilitation?
• Who else might influence you?
19. To what extent do you feel the ICU culture encourages or discourages early rehabilitation?
20. To what extent do patients and their family members influence whether you undertake early
rehabilitation?
21. How do you prepare to undertake early rehabilitation?
• Do you follow any action-plans? (If-then statements; where/when/who/how plans)
22. How does your unit monitor your participation in early rehabilitation?
• Who monitors? Are there specific “metrics” that you know of? Does anyone audit early
rehabilitation?
• How often?
23. What kind of feedback is given when early rehabilitation does not occur?
• How is the feedback structured?
• Who gives the feedback?
• To whom is the feedback targeted? Individuals? Teams?
• What about when it occurs, but standards are not being met?
• Are teams or individuals held accountable when rehabilitation plans do not occur?
• How does this occur?
24. Are you aware of any ways in which undertaking early rehabilitation is encouraged or rewarded in
your unit?
• Is success celebrated or recognized?
66
25. Are you aware of any consequences for NOT undertaking early rehabilitation?
• What sorts of consequences are there?
26. Are there strategies to improve early rehabilitation when goals are not met?
27. To what extent does undertaking early rehabilitation affect you emotionally?
• Any feelings of stress, anxiety or depression?
• What about positive feelings?
28. How does this affect how you undertake early rehabilitation?
• Why? Why not?
29. In general, do you think your unit has the ability to improve the delivery of early rehabilitation?
• Why?
30. In general, how important do you think early rehabilitation will be in the care of ICU patients in
the future?
67
Table 3.3 Participant Characteristics
Frequency (N=40)
Professional Group Rehabilitation Professional1
Nurse Respiratory Therapist Physician
10 10 10 10
Professional Leadership Role
Yes No
18 22
Country of Employment Canada United States
23 17
Type of Institution Academic Health Sciences Centre Community Teaching Hospital Community Non-Teaching Hospital
25 10 5
Number of ICU Beds <10 10-20 21-50 >50
3 10 14 13
Years Since Graduation ≤5 6-10 >10
8 10 22
Years of ICU Experience ≤5 6-10 >10
10 11 19
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Table 3.4 - Beliefs classified into Domains of the Theoretical Domains Framework
Belief (Number of
participants endorsing
belief)
Excerpt from Interview Transcript
Knowledge domain
Knowledge of protocols
or guidelines impacts
performance of early
rehabilitation (22)
“So I know we have a protocol... and I follow it to some degree but honestly I don’t have it
memorized.” (RN)
Education and
knowledge facilitate
early rehabilitation (28)
“I think once education is out, then we understand what type of rehabilitation needs to be
done and why it’s important, then we can start to build on that and move forward, … it’s the
first priority.” (RT)
Gaps exist in literature
base. (15)
“There’s a lot of theory behind it and it makes probably intuitive sense but I still think it
needs to have the definitive study put into place.” (MD)
Skills domain
Skills for early
rehabilitation are
developed by working
with experienced
colleagues (12)
“I’d say what’s helped me a lot is mentorship, working with a more skilled ICU
therapist that’s been doing things for a little bit longer than me.” (PT)
Specialized skills are
(or are not) required for
early rehabilitation (17)
“I feel like as ICU nurses we already have the knowledge and expertise, just what we do
every day to also engage in early rehabilitation with our patients.” (RN)
Practical training is
required to develop
skills for early
rehabilitation (13)
“… you bring them right into the ICU, with a mentor, and you just educate them and make
them review all the lines and the tubes and everything else and what the numbers mean, and
then actually just have them start to treat the patient with someone with good experience
there.” (PT)
On the job experience
develops skills needed
for early rehabilitation.
(14)
“I think the second is learning within your institution. … basically mobilizing the patients
over time and learning skills and the way things work are important.” (MD)
69
Belief (Number of
participants endorsing
belief)
Excerpt from Interview Transcript
Interpersonal skills are
required for early
rehabilitation (11)
“You’ve got to have people skills. You’ve got to put your patients at ease. They’re probably
at one of their lowest, scariest points in their life and they’re trusting you that you’re going to
come in and get them up” (PT)
Communication skills
are needed for early
rehabilitation (11)
“Good communication, making sure that we’re, … communicating with the team effectively,
making sure everybody on the team’s on board, and being able to communicate the plan
effectively.” (RT)
Social and professional role/identity domain
Leadership has an
important role in early
rehabilitation. (22)
“… I work so closely with the nurses that if the nurses weren’t on board it would be
very difficult to do early mobility, so I would say that nursing leadership … makes sure
everybody’s educated and ready for that.” (PT)
Physicians have an
important role in
identifying
appropriate patients
for early
rehabilitation. (16)
“… it’s through discussions with the other staff working with this patient that we all
agree it’s time, so when the doctors come in we all try to be there and try to suggest or
support rehabilitation, but in the end, again it ends up being a physician call when the
physios get involved.” (RT)
Physicians have an
overall leadership role
in early rehabilitation.
(7)
“And I like to talk to the doctors and have it spelled out to me what’s okay, what’s not
okay with that patient, if it’s not clear to me from looking at the chart..” (PT)
The physician’s role is
not in the actual
delivery of early
rehabilitation. (6)
“I think that my role personally in the actual act of early rehabilitation is somewhat limited
because … I’m not specifically trained in the physical activity of actually assisting patients
in this, and I think that’s more the role of the physiotherapist, or potentially nursing” (MD)
The physician has a role in goal setting.
“…the main keeper – of the goals does end up being the primary physician for the week.” (RN)
The physiotherapist has
a role in goal setting.
(21)
“As a PT I’m making my own individualized goals for that patient. I have the care plan in
mind but I’m thinking about what I think is realistic for that person.” (PT)
My other duties can
conflict with early
rehabilitation (11)
“…there are other things that I have to do. Documentation’s probably the number one thing.
… hygiene, giving meds, taking vital signs, talking with family. … there’s lots of stuff I
have to do that gets in the way …”
70
Belief (Number of
participants endorsing
belief)
Excerpt from Interview Transcript
(RN)
Early rehabilitation is a
team responsibility (21)
“So it’s really about teamwork, working independently but also working in that big team,
and working what’s best with the nurse and working what’s best with the patient when
they’re clinically able to move, when it’s safest for them, and when it’s best for the team to
get that patient up.” (RT)
Nursing staff have an
important or central role
in early rehabilitation.
(7)
“…in terms of the ICU team you know the bedside nurse has a huge role to play because
essentially I think they’re the managers of the patient’s activities for the shift and really
facilitate and drive the plan in terms of the mobilization.” (MD)
Charge or lead nurses
have an important role
to play in early
rehabilitation. (8)
“I have worked in one [ICU] where the charge nurses did really promote it and go to each
patient so having an actual charge nurse role and having a charge nurse have time to go out
and assess each nurse and support them was always helpful.” (RN)
The respiratory
therapist has an
important role with
patients on mechanical
ventilation. (17)
“Respiratory therapy is a very huge, integral part of mobilization. They will often come in
and help us to walk a patient who’s on a ventilator. The hoses need to be switched over. .…
most of the time, they’ll require a larger amount of oxygen, a different rate. So the
respiratory therapist will be on board with that.” (PT)
Beliefs about capabilities domain
Early rehabilitation is
challenging. (22)
“I would describe it as very important but also very challenging, to get the people up at
such a … at a critical time as their care...” (PT)
The support of a team
improves confidence in
early rehabilitation (13)
“I got oriented by another PT but ultimately it was the nurses that helped me develop the
bravery, I guess, in the beginning, and the attitude that … it could be done.” (PT)
Experience improves
confidence with early
rehabilitation. (17)
“When we first instituted it and were training people it was obviously a problem, but now
that we have a long track record and experience and receive some extra staffing on the
intensive care unit we’re very, very confident.” (MD)
Lack of confidence
interferes with early
rehabilitation. (28)
“I would say [I am] not confident. For those reasons, based on lack of understanding of how
to do it safely, both on my part and on the part of people that I work with.” (MD)
Optimism domain
71
Belief (Number of
participants endorsing
belief)
Excerpt from Interview Transcript
I am optimistic research
will show more benefits
for early rehabilitation
in the future. (6)
“I think the evidence is there and I think the strength of the evidence will probably get bigger
with bigger studies, and I think in pushing the bar to mobilizing sicker patients we may start
to see a greater impact on that population from early mobilization.” (MD)
Early rehabilitation will
be part of ICU practice
in the future. (23)
“I think it’ll be... well, they say it’s going to be A, B, C, D, E, exercise. You know, we’re all
about airway, breathing, circulation, disability, and now E, I think it’s going to be just right
up there.” (RT)
Beliefs about consequences domain
Early rehabilitation
decreases muscle
atrophy or reduces
weakness (31)
“It limits or even reverses weakness and muscle wasting.” (PT)
Early rehabilitation
affects long term
physical function (22)
“I would say the most important goal, ultimately, is to improve patient outcomes and
not only mortality outcomes but also functional outcomes in the long term.” (MD)
Early rehabilitation
affects the mental
health of the patient
(27)
“Yes, it does, it gives them a huge sense of psychological and psychiatric benefits,
because I think laying in that bed, you know, day after day, it can put a tremendous
strain on these patients, and this allows them to … get out of the four walls of the
Critical Care”. (RT)
Early rehabilitation
affects duration of
mechanical ventilation
(25)
“For me, ventilator days. If we’re seeing a … significant decrease in ventilator days in
our patient population I think that would … go a long way.” (RT)
Benefits outweigh the
harm for patients in early rehabilitation (32)
I’m not aware of any studies that support that getting a patient mobile early is going to do
more harm than good.” (PT)
Early rehabilitation
affects delirium (20)
“Delirium does not set in if you start to see them 24 hours to 48 hours after. And that’s very
well documented in the literature, now.” (PT)
Early rehabilitation
affects mortality (9)
“Everything that I've seen has suggested it's better from a mortality standpoint”. (RT)
Early rehabilitation
affects ICU length of
stay (28)
“So I think there’s a growing body of evidence that supports that it’s helpful in shortening
the ICU and hospital length of stay.” (MD)
72
Belief (Number of
participants endorsing
belief)
Excerpt from Interview Transcript
Early rehabilitation can
cause physiological
deterioration (21)
“I think another major concern is if the patient, from a physiologic perspective, does not
have the stamina or strength to engage in early mobilization and they’re pushed to do that
that could lead to physiologic consequences such as a drop in their blood pressure or
hypoxia”. (MD)
Early rehabilitation is
safe (32)
“Yes, well I think that goes along with if they lose any tubes and lines they have a high risk
of complications as well. I mean they would be at a higher risk for falling, just getting out of
the bed. But I think with the appropriate assessment and appropriate equipment and people,
it is a safe thing to do”. (RN)
Early rehabilitation is
personally rewarding to
healthcare providers.
(16)
“I find it satisfying … When you feel like you've done a good job with a patient, you feel
proud and positive about what you're doing.” (RN)
Reinforcement domain
There are [no]
consequences in my
unit for not
participating in early
rehabilitation. (29)
“Not to my knowledge. I wish there were! Sometimes I’m like, “What did this nurse do all
day?” I’m sure they were busy, you know, but there are some nurses who I think they just...
they’re just not entirely on board.” (PT)
Intentions domain
I/we are determined to
engage in early
rehabilitation. (28)
“Oh, I'm very determined. I'm very determined. We’ve been doing this, like I said, for a
year. I’ve been pushing and pushing and pushing.” (RN)
Goals domain
The goal is to improve
early rehabilitation
within our unit. (14)
“I see our goal as putting together a working group to devise the process for early
mobilization. I think that’s our short-term goal, is to actually put a process in place.” (RT)
Goals should be
explicitly stated and
reviewed. (23)
“The goals are not recorded to my knowledge. They might be stated on rounds but
inconsistently.” (MD)
Memory, attention and decision processes domain
Decisions about early
rehabilitation are made
as a team. (20)
“…it’s all a discussion between the whole team, the physicians, the physiotherapists and the
nurse sort of as to deciding on what the plan is.” (RN)
73
Belief (Number of
participants endorsing
belief)
Excerpt from Interview Transcript
Environmental context and resources domain
We have adequate
staff to perform early
rehabilitation (35)
“Staffing is our main thing; that is a huge thing which interferes with… what we want
to do.” (PT)
ICU specialized
equipment is required
for early
rehabilitation (30)
“We really just need walkers. We don’t use anything special. I know people have fancy
stuff; we don’t.” (PT)
Early rehabilitation
requires coordination
and scheduling
between staff and
team members (22)
“The problem is that it’s a multidisciplinary process so it does involve … all the RTs,
all the nurses, all the physios, the dieticians, so it involves everybody. To get everybody
to organize to do anything is always a challenge.” (RT)
Early rehabilitation
requires therapy staff
specifically assigned to
the ICU. (16)
“I would definitely say that even amongst the physio personnel it would be better to
either maintain a smaller, more experienced group continually coming to the ICU
and/or doing more training amongst themselves of, you know, the importance and the
approaches necessary to facilitate it.” (RT)
ICU culture affects
early rehabilitation (34)
“I’m really lucky because our culture is not just encouraging, it demands it, and I think... I
talk to other people and it seems like it can be quite a battle if the culture is one of … bed
rest.” (PT)
We have an adequate
physical layout to
perform early
rehabilitation (34)
“Horrible. We have tiny rooms that are very bed-centric, and our ICU is shaped as a triangle,
which is nice for visibility but when interdisciplinary rounds are occurring ….number of
bodies on the unit is challenging, and sometimes it’s the role of the nursing assistant to
encourage people to step aside during rounds.” (RN)
We have adequate equipment for
performing early
rehabilitation (28)
“Our beds are now 14 years old and often don’t function the way they’re supposed to and they don’t go down low enough.” (PT)
Social influences domain
Local champions
influence early
rehabilitation practice
(12)
“Our lead physical therapist recently left and she was a huge advocate of mobilizing
patients and it quickly became apparent how person-specific our mobility culture was,
that she was driving a lot of it.” (MD)
74
Belief (Number of
participants endorsing
belief)
Excerpt from Interview Transcript
ICU leadership
facilitates early
rehabilitation practice
(14)
“So the role is really a huge one because if they’re not making the policies and telling
the nurses that mobility is okay and it’s actually … not mandatory but important then
it’s not going to happen. It wouldn’t happen without the leaders of the ICU, the lead
nurses and the nurse educators.” (PT)
Discord between team
members affects
delivery of early
rehabilitation (30)
“…we go in there and they [say], don’t touch them, they are finally settled. Don’t touch
them … they’re sleeping. Don’t touch them; they have a line in them. And I’m like,
yeah so what? So, it can definitely influence things.” (PT)
Family members
affect delivery of early
rehabilitation (33)
“I think for the most part we’re probably undershooting the goals, so we’re actually
doing less in order to not … freak out the family.” (RT)
Comparison with other
team members practice
impacts my
rehabilitation practice.
(16)
“Like, maybe there’s a level of sickness that I wouldn’t mobilize someone that a colleague
would, and I think just understanding and seeing examples of that being done safely would
help improve my confidence in achieving that.” (MD)
Physicians influence
early rehabilitation
practice. (15)
“If you have even one or two physicians that are against that it can surprisingly go awry.”
(RN)
Behavioural regulation domain
Feedback affects early
rehabilitation
practice. (33)
“I think talking about the successes and failures and how we could make it better
would be more important. I don't think we get as much feedback on that as I think
would be beneficial to say, hey, this is working and this is where we fell short and we
need to step up to do a better job. So, I think more feedback would be a great thing.”
(RT)
Having a unit protocol
facilitates early
rehabilitation (27)
“ It would be nice to have a standard of care with regard to at least a consideration of
mobilization and maybe realize that everybody will need to make their own decisions,
but we’re asking a question; has the patient mobilized and if not, what sort of barriers
or what sort of thought processes getting in the way of that happening should be
undertaken?” (PT)
We discuss early
rehabilitation plans
“So, after you talk about all of the systems, talking about mobilization I think is important
for every patient, and in some units they actually have a physiotherapist that rounds with the
team. However, that’s not the case with all of the units and I think perhaps if there was the
75
Belief (Number of
participants endorsing
belief)
Excerpt from Interview Transcript
every day on rounds.
(21)
presence of the physiotherapist that may, from an optics standpoint, help remind the team
about addressing the question of mobilization of that patient.” (MD)
RN = nurse; MD = physician; RT = respiratory therapist; PT = physiotherapist; OT = occupational therapist
(Beliefs classified as “high importance” are in bold.)
76
Figure 3.1 - TDF domains important in systematic review
Behaviour
Intentions
Goals
Memory, attention
and decision
processes
Environ-mental
context and resources
Social influences
Emotion
Behav-ioural
regulationKnowledge
Skills
Social/ professional
role
Beliefs about capa-
bilities
Optimism
Beliefs about conse-
quences
Reinforce-ment
77
Figure 3.1 – Overview and Example of Interview Coding Process
“I’ve found that when the
physicians are really on board,
everyone else will follow suit and
get excited about mobility.”
Social Influences
TDF Domain Belief
When physicians
engage in early
rehabilitation, they
influence the rest
of the healthcare
team.
Hypothetical Excerpts
“Some doctors are very good about
bringing up rehab goals on rounds
but others ignore it. If they bring it
up, it makes the nurses, physios
and everyone else realize it’s just as
important as all the medical details
they’re managing.”
Figure 3.2 - Overview and example of interview coding process
78
Figure 3.3 - Frequency of beliefs by domain
0
5
10
15
20
25
30
35
40
45
50
Nu
mb
er o
f U
niq
ue
Bel
iefs
Id
enti
fied
Low
Mod
High
79
Chapter 4. Barriers and Facilitators to Early Rehabilitation
in the Intensive Care Unit – A Theory Driven Delphi Study
4.1. Summary of Previous Chapter
In the previous chapter, using semi-structured interviews designed and analyzed according to the TDF,
we found a similar focus on the three domains of the TDF found in the systematic review (Beliefs about
Consequences, Environmental Context and Resources, and Behavioural Regulation, shown in Figure 3.1).
However, using multiple measures of importance, our participants also identified the domains of Beliefs
about Capabilities, Social and Professional Role, Skills and Socials Influences (Figure 4.1).
4.2. Introduction
Early physical rehabilitation is a relatively new intervention in critical care, with some early
supportive evidence 17,23,60,143 and increasing incorporation in clinical practice guidelines 30,32,125
However, multiple surveys and point prevalence studies document low rates of active
mobilization of critically ill patients and low use of physical therapists in general and
mechanically ventilated patients in particular 42,44,68,81.
In Chapter 3 of this thesis, theory-driven semi-structured interviews were used to identify
barriers and facilitators to early physical rehabilitation in mechanically ventilated patients, the
results of which formed the basis for the next phase of the research and of this chapter of the
thesis. In order to understand the strength of these views more quantitatively, a Delphi survey
80
was undertaken, with the interviews as described previously forming Round 1 of the Delphi.
Further rounds of the Delphi are described in this chapter.
4.2.1. Introduction to Delphi Methodology
Human and organizational factors that influence the conduct of tasks in complex environments
are difficult to study. A Delphi design, including qualitative (Round 1) and quantitative (Rounds
2 and 3) elements, allows for exploration of the complex nature of clinician behaviour and of
factors (such as emergent themes) not identified using traditional quantitative methods. The
qualitative component (as described in Chapter 3 of this thesis) applied an inductive process to
ensure that a wide range of views are considered and the quantitative component (reported in
the current chapter) assessed the stability and importance of the views of the participants.
The Delphi method was originally developed to establish consensus (or stable lack of
consensus) among experts where evidence did not exist or was uncertain 144. It relies on an
iterative process where “experts” respond anonymously to questions via a series of “rounds”,
complemented by anonymous feedback of the group’s previous responses, to establish a group
view on a topic. Since its development, it has been used in the ICU setting to develop practice
guidelines 145, set educational goals 146 and to develop disease definitions 147. More recently in
ICU and other areas within health care, it is being used to identify and understand opinions
among health care providers of different backgrounds about barriers and facilitators in
translating evidence to health care practice 51,148-152.
In our use of the Delphi method, consensus was not necessarily the goal or endpoint of the
study. Rather, the usefulness of the iterative process is its ability to detect stability of
81
participant responses when feedback on group responses is provided and to assess the level of
consensus (if any) that describes participants’ views. The intention is not to prove that some
items are barriers and others are not. However, assessing stability and agreement does provide
important information about how strongly held a belief may be, and thus helps to prioritize
perceived facilitators and barriers.
The Delphi method has a number of features that would strengthen the validity of our findings.
First, feedback is anonymous and so participants with different clinical backgrounds and levels
of expertise can participate equally without the imposition of a hierarchy. This is an important
advantage, where stakeholders from four different professional groups will be included.
Secondly, research has shown that using a structured consensus technique (such as the Delphi)
in idea generation increases number of ideas generated and satisfaction with the process when
compared with an informal group 153.
4.2.2. Study Aim
This study aimed to identify barriers and facilitators to early rehabilitation in mechanically
ventilated patients, as perceived by key ICU clinicians.
4.3. Methods
4.3.1. Study Design
A Delphi study, consisting of an initial qualitative round and subsequent survey rounds was
conducted among four clinician groups to gather clinician opinion on the barriers and
82
facilitators to early rehabilitation in the intensive care unit (ICU) for mechanically ventilated
patients.
4.3.2. Sampling and Participants
The study recruited healthcare providers who work mainly in the ICU setting: nurses,
rehabilitation professionals (physical therapists and occupational therapists), respiratory
therapists and physicians. To be eligible, clinicians had to identify ICU as a primary focus of
their clinical practice and had to be independently licensed practitioners (i.e. non-trainees) in
either Canada or the United States. While other healthcare providers may participate in early
rehabilitation in the ICU, these clinicians were identified as those most likely to be involved in
either decision making around or delivery of early physician rehabilitation.
Because of the variety of clinicians involved in the study, multiple methods of recruitment were
used: an online interest group (the ICU Recovery Network), professional groups (for respiratory
therapists and nurses), and a research interest group (the Canadian Critical Care Trials Group).
We used purposive sampling to maximize variability in participants around profession, years of
experience, type and size of ICU.
4.3.3. Delphi Rounds
An overview of the Delphi process is shown in Figure 1.1. The first round of the Delphi
consisted of a semi-structured interview, the results of which are presented in Chapter 2.
Through analysis of these interviews, an extensive list of potential barriers and facilitators to
early rehabilitation were identified using content analysis with the TDF as a guide (See Table 3.4
83
from previous chapter of this thesis). These barriers and facilitators were then used for item
development for subsequent rounds of the Delphi.
The second and subsequent rounds consisted of agree/disagree statements of beliefs about
barriers and facilitators to early rehabilitation, with a 9-point Likert response scale, where 9
represented high agreement and 1 represented high disagreement with the statement. Details
of item development are described below. These rounds were administered electronically,
using a custom-programmed web based interface. Participants received an individual email link
to the questionnaire. For each round, participants received two reminders if they had not yet
responded, two and four weeks after the initial invitation.
In Round 2, participants received only the questionnaire. In Round 3, each participant was
presented with the same questions as Round 2, along with individualized feedback about their
response on Round 2 as well as a graphical representation of group responses. A sample
screenshot of a question with feedback, as used in Round 3 is provided in Figure 4.2.
The optimal number of rounds in a Delphi study is not well established; in general, the total
number of rounds is usually 3 or 4. In most studies using this method, studies are stopped when
consensus occurs. Because our primary goal was not necessarily consensus, we had an a priori
agreement that the study would be stopped when either consensus on 70% of items was
achieved or there was no change in participant scores between two consecutive rounds,
defined as a mean change across all participants of less than an absolute value of 1 (on the 9-
point scale) for any individual item 51,148. We also limited the number of total rounds to a
maximum total of 4 to minimize participant burden.
84
4.3.4. Item Development
Working from the complete list of potential barriers and facilitators identified in the first round
(Chapter 2), the investigator group held an in-person meeting to select items to include for the
rest of the Delphi. Because a large number of items were identified and there were concerns
that including all of these items could lead to participant fatigue and attrition, the team used a
list of criteria to identify those barriers and facilitators felt to be most important, which are
described in detail in Chapter 2 of this thesis. In order to include as many beliefs as possible,
we also occasionally merged items that could be considered examples of a more general
concept. For example, the item “It is facilitated by education and knowledge” was originally
coded from the interviews as “It is facilitated by education” and “it is facilitated by knowledge”.
From this list, items were reframed as statements with which participants could agree or
disagree, on a 9-point Likert scale. Items were worded in a direction consistent with the
findings in the interviews. For example, participants in the qualitative interviews reported a
belief in the positive impact of early rehabilitation on long term physical function, so the item
was worded, “it improves long term physical function”. In general, our participants tended to
endorse facilitative factors rather than barriers, so more items were worded as facilitators than
barriers. For each item, there was also an accompanying statement asking the participant to
rate the importance of the item to implementation of early rehabilitation. Items were piloted
with clinicians from each of the groups and adjustments for clarity and sensibility made prior to
use in the study. The full list of items can be found in Table 4.1.
4.3.5. Analysis
85
Responses to items were summarized using medians and interquartile ranges (IQR) for each
item in the Delphi. As in previous Delphi studies 51,148, change scores were calculated at the
level of the individual participant, by subtracting each participant’s Round 2 rating from Round
3 for each item. Mean and median change scores were then reported for both agreement and
importance.
4.3.6. Ethical Considerations
This study was approved by the Sunnybrook Research Ethics Board. Participants provided
informed consent to participate in the study. Participation was voluntary and all results were
anonymized.
4.4. Results
4.4.1. Participants
In total, 74 clinicians consented to participate in the study. Through our purposive sampling
strategy, participant recruitment included a range of participants in terms of profession,
country of origin, years of experience and type and size of intensive care unit. Because of
attrition during the rounds of the Delphi, there is complete data for 50 of the 74 participants
(final response rate 67%), as shown in Figure 4.3. Participant characteristics are shown in Table
4.2. There was no difference between those who completed the full Delphi and those who did
not.
4.4.2. Delphi – Overall Results
86
A total of 3 rounds (one qualitative, two quantitative) were completed. The study was stopped
after the third round, as per our pre-specified stopping rules because the mean change score
for all items was <1, although consensus was not reached.
4.4.3. Participant Agreement – Round 2 and 3
In general, agreement with Delphi survey items was high in both rounds. Median (IQR)
agreement scores for the final round are shown in Table 4.3. In Rounds 2 and 3 respectively, 53
and 55 of the 68 items had a median agreement of 7 or more. To further understand this high
agreement, we identified items within this set that also had high consensus (i.e. where at least
90% of responses fell within a high (7,8,9) three-point band.) In Round 2, 18 of these items fell
within this range. In Round 3, the same 18 items also had high consensus, with an additional 7,
for a total of 25. These items are shown in Table 4.4 by domain of the TDF. Of note, not all
domains of the TDF were represented in these high agreement, high consensus items and some
were disproportionately represented. For example, 10 of the 14 items for Beliefs about
Consequences had high agreement and these items were all worded as facilitators of early
rehabilitation (or positive consequences). Conversely, none of the 5 items for Behavioural
Regulation had high agreement and high consensus.
4.4.4. Participant Rating of Importance – Rounds 2 and 3
Similar to agreement, participants tended to rank the importance of the Delphi items as very
high. In Round 3, no items had a median importance of less than 7.
4.4.5. Agreement - Change from Round 2 to Round 3
87
On average, individual agreement scores changed very little from Round 2 to Round 3 of the
Delphi. The median change score for every item was 0. Mean change scores ranged from -0.52
to 0.68. There was no overall difference in change scores between professions (Figure 4.4).
However, at the individual level, there were outliers; there was a range of change scores,
between -8 and +8. To identify items where a change in score was common, items were
identified where at least 5 individuals (10% of the sample) changed their agreement scores by
at least 2 points in either direction. There were two items where this occurred in the negative
direction, both of which were under the domain of Environmental Context and Resources, and
fifteen items where this occurred in the positive direction (i.e. agreement scores increased). As
seen in Table 4.5, this was common in some domains of the TDF and not others. For example,
there was a high degree of positive change of five of the seven items under the domain of
Social Influences.
4.4.6. Importance – Change from Round 2 to Round 3
Similar to agreement, importance ratings showed little change on average, with a median
change score of 0 for all items and mean change scores ranging from -0.12 to 0.7. Again, at the
individual level, the highest and lowest change scores were -8 and +8. However, when looking
at how frequently these change scores occurred, only one item had at least five individuals
whose score decreased by at least 2. Conversely, importance ratings overall tended to increase
from Round 2 to Round 3. There were 32 items where at least 5 individuals increased their
rating by at least 2. Items with change scores of at least 2 that occurred with a frequency of at
least 5 are shown in Table 4.6.
88
4.5. Discussion
In this Delphi study of ICU clinicians using the TDF as a guiding framework, we identified a large
number of barriers and facilitators to early physical rehabilitation in critically ill patients across
a range of domains of the TDF.
Study participants tended to have high agreement and high consensus regarding items under
eight of the 14 domains of the TDF. In particular, there was high agreement and high
consensus in most of the items under the domain of Beliefs about Consequences and both of
the items under the domain of Optimism. The items in Beliefs about Consequences were
largely about the positive effects of early rehabilitation for patients, reflecting the generally
positive view the study participants had about early rehabilitation. This may, in part, reflect the
fact that some of the domains without high agreement and high consensus did not have a large
number of items in them. However, one domain (Behavioural Regulation) had five items and
none of those items were found to have high agreement/high consensus. These items tended
to reflect an individual clinician’s or unit’s practice and so the lack of consensus likely reflects
the real-world variability in practice between clinicians or units.
This study has a number of strengths. First, it is the broadest study of barriers and facilitators
with respect to the range of clinician groups included. While other studies have examined the
views of these professional groups individually or in combination 75,89,96,100, few studies have
included all four of these professional groups and numbers have been smaller 90 or lacked clear
sampling strategy 105. This is important to understanding the implementation of early
89
rehabilitation because all of the professionals in this study have a different and essential role,
and thus may have a unique viewpoint.
The second strength is the use of the Delphi method to investigate stability of responses. By
providing feedback on prior responses and the responses of the group, individuals are given an
opportunity to reflect on and to change their response if they choose. This process helps to
establish how stable a person’s response is over time and reflects how often they will change
their viewpoint. Interestingly, we found that while on average there was very little change in
response, there were outliers in individual change scores. In general, they were more likely to
increase the strength of their agreement with the items and to increase their assigned
importance of items, even when there was generally already high agreement.
One potential criticism of the study is selection bias. While we used maximum variation
sampling to increase the diversity of our sample in terms of profession, type and size of
institution and experience, recruitment was voluntary. As such, our participants may not
represent the views of all professionals. More specifically, we hypothesized that they were
likely to be advocates for early rehabilitation. Indeed, our participants endorsed high levels of
agreement with, for example, two items under the Optimism domain. In particular, they
endorsed a belief that future evidence would show increasing evidence of benefit.
Furthermore, participants agreed with a number of items within the Beliefs about
Consequences which have little or no evidence to support them in randomized trials. For
example, the median level of agreement with the statement “Early rehabilitation reduces
90
mortality” had a median agreement of 8 on the 9-point Likert scale, a statement for which we
are unaware of any supporting evidence.
There are a number of possible explanations for this discrepancy between beliefs and the
published evidence. First, there may be a lack of knowledge about the published literature,
combined with a generally positive view of early rehabilitation. Secondly, participants may be
answering based on their personal experience rather than the published literature, which may
also be subject to optimism bias.
Another potential source of bias is in attrition from Round 2 to Round 3. Although we found no
difference in demographic features of participants who completed the Delphi and those who
did not, it is possible that there are unmeasured differences that may impact on results.
However, given the low change scores between rounds, this is unlikely to affect the overall
study results.
In summary, this Delphi identified beliefs about early rehabilitation across a variety of domains
of the TDF that may impact on provider behaviour. In our sample, clinicians held generally
positive beliefs about early rehabilitation, some of which are not presently supported in the
current body of evidence.
91
Table 4.1 - Items Included in Rounds 2 and 3 of Delphi by Domain of the TDF
Domain Item stem
Knowledge (2 items)
It is facilitated by education and knowledge
Gaps exist in the evidence base
Skills (8 items)
I have the required skills It requires interpersonal skills
Relevant skills are developed by working with experienced colleagues
It requires leadership skills
It requires on the job experience
It requires specialized skills
Skills in biomechanics are required
It requires practical training (outside of the work environment) Social/Professional Role (11 items)
It is a team responsibility
It is part of my role
My role is to encourage and advocate I have a leadership role in its implementation
My role is to set individual patient goals
Charge/senior nurses play a leadership role
My role is to carry it out
My role is to provide education
My role is to screen and identify appropriate patients
My role is to coordinate it around other patient care activities It can conflict with my other duties
Beliefs about Capabilities (4 items)
Interprofessional team support facilitates staff confidence
We (in our unit) are generally confident in its performance
It is challenging Adverse events decrease confidence
Optimism (2 items)
It will be commonplace in ICU practice in the future
Future research will show more evidence of its benefits Beliefs about Consequences (14 items)
It reduces delirium
It improves long term physical function
It reduces ICU length of stay
It increases muscle mass and strength (or decreases atrophy and weakness)
It positively affects patient mental health
It reduces hospital length of stay
Seeing patient progress due to early physical rehabilitation is personally rewarding
It improves long term cognition It reduces use of sedating agents
The benefits outweigh the harms
It reduces mortality
It reduces nosocomial complications
It improves family perceptions of ICU care
It increases costs
92
Domain Item stem
Reinforcement (1 item)
There is positive feedback in my unit for participation in its delivery
Intentions (no items)
N/A
Goals (2 items)
One of our unit’s goals is to improve its delivery Our unit has a process for setting goals for individual patients
Memory, Attention, Decision (2 items)
Our interprofessional team makes decisions for individual patients
Our unit has no standard process for making decisions for individual patients
Environmental Context and Resources (9 items)
Its delivery is affected by ICU culture
We have adequate staff to deliver it
Its delivery is affected by sedation practices It requires coordination and scheduling between the interprofessional team.
We have an adequate physical layout to deliver it We have adequate funding for its delivery
We have adequate equipment to deliver it
It requires rehabilitation staff that are specifically assigned to the ICU
It requires ICU specialized equipment
Social Influences (7 items)
Its delivery is influenced by ICU leadership
Its delivery is influenced by local champions
My practice is influenced by exposure to experts in the field My practice is influenced by practices of other team members
My practice is influenced by learning what works well at other institutions
Its delivery is negatively influenced by discord between professions
Its delivery is influenced by patients and family members
Emotion (1 item)
Clinician fear affects participation
Behavioural Regulation (5 items)
A plan is discussed everyday on rounds
It is facilitated by a unit protocol
We discuss barriers and ways to improve outside of clinical rounds. We receive feedback on its delivery in my unit
My practice is facilitated by formulation of a personal action plan
93
Table 4.2 - Participants in the Delphi Study
Characteristic Participants who Completed Delphi N (%)
Participants Not Completing Delphi N (%)
p value (chi-square)
Profession MD PT/OT RN RT
10 (20) 18 (36) 15 (30) 7 (14)
5 (21) 6 (25) 4 (17) 9 (37)
0.12
Years Since Graduation <1 1-5 5-10 >10
0 (0) 10 (20) 12 (24) 28 (56)
0 (0) 6 (25) 5 (21) 13 (54)
0.87
Years of ICU Experience <1 1-5 5-10 >10
1 (2) 13 (26) 13 (26) 23 (46)
0 (0) 6 (25) 6 (25) 12 (50)
0.91
Type of Institution Academic Health Sciences Centre Academic/Teaching Community Hospital Non-teaching Community Hospital
25 (50) 15 (30) 10 (20)
14 (58) 8 (34) 2 (8)
0.44
Country of Residence Canada United States
29 (58) 21 (42)
11 (46) 13 (54)
0.33
Number of ICU Beds <10 10-20 21-50 >50
6 (12) 16 (32) 18 (36) 10 (20)
1 (4) 6 (25) 9 (38) 8 (34)
0.47
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Table 4.3 - Round 3– Agreement for all Items in Order of Strength of Agreement
TDF Domain Item stem Round 3 MEDIAN
Round 3 1st Quartile
Round 3 3rd Quartile
Beliefs about Capabilities Interprofessional team support facilitates staff confidence
9 8 9
Beliefs about Consequences
The benefits outweigh the harms 9 8 9
Beliefs about Consequences
It increases muscle mass and strength (or decreases atrophy and weakness)
9 8 9
Beliefs about Consequences
It improves long term physical function
9 8 9
Beliefs about Consequences
It positively affects patient mental health
9 8 9
Beliefs about Consequences
It reduces ICU length of stay 9 8 9
Beliefs about Consequences
It reduces hospital length of stay 9 8 9
Beliefs about Consequences
Seeing patient progress due to early physical rehabilitation is personally rewarding
9 9 9
Beliefs about Consequences
It reduces delirium 9 8 9
Beliefs about Consequences
It improves long term cognition 9 8 9
Environmental Context & Resources
Its delivery is affected by ICU culture
9 9 9
Environmental Context & Resources
Its delivery is affected by sedation practices
9 9 9
Environmental Context & Resources
It requires coordination and scheduling between the interprofessional team.
9 8 9
Optimism It will be commonplace in ICU practice in the future
9 9 9
Optimism Future research will show more evidence of its benefits
9 8 9
Skills It requires interpersonal skills 9 8 9
Skills Relevant skills are developed by working with experienced colleagues
9 8 9
Social Influences Its delivery is influenced by ICU leadership
9 8 9
Social Influences Its delivery is influenced by local champions
9 8 9
95
TDF Domain Item stem Round 3 MEDIAN
Round 3 1st Quartile
Round 3 3rd Quartile
Social Professional Role/Identity
It is part of my role 9 8 9
Social Professional Role/Identity
It is a team responsibility 9 9 9
Social Professional Role/Identity
My role is to encourage and advocate
9 8 9
Social Professional Role/Identity
I have a leadership role in its implementation
9 7 9
Knowledge It is facilitated by education and knowledge
8.5 8 9
Skills It requires “on the job” experience
8.5 8 9
Social Professional Role/Identity
My role is to carry it out 8.5 6 9
Beliefs about Consequences
It reduces use of sedating agents 8 8 9
Beliefs about Consequences
It reduces mortality 8 7 9
Beliefs about Consequences
It reduces nosocomial complications
8 7 9
Beliefs about Consequences
It improves family perceptions of ICU care
8 7 9
Emotion Clinician fear affects participation 8 7 9
Environmental Context & Resources
It requires rehabilitation staff that are specifically assigned to the ICU
8 7 9
Goals One of our unit’s goals is to improve its delivery
8 7 9
Skills It requires leadership skills 8 8 9
Social Influences My practice is influenced by exposure to experts in the field
8 7 9
Social Influences My practice is influenced by practices of other team members
8 7 9
Social Influences My practice is influenced by learning what works well at other institutions
8 7 9
Social Influences Its delivery is negatively influenced by discord between professions
8 5 9
Social Professional Role/Identity
Charge/senior nurses play a leadership role
8 7 9
Social Professional Role/Identity
My role is to screen and identify appropriate patients
8 6 9
96
TDF Domain Item stem Round 3 MEDIAN
Round 3 1st Quartile
Round 3 3rd Quartile
Social Professional Role/Identity
My role is to set individual patient goals
8 7 9
Social Professional Role/Identity
My role is to provide education 8 7 9
Social Professional Role/Identity
My role is to coordinate it around other patient care activities.
8 5 9
Behavioural Regulation It is facilitated by a unit protocol 7 5 8
Beliefs about Capabilities It is challenging 7 6 9
Beliefs about Capabilities We (in our unit) are generally confident in its performance
7 5 8
Beliefs about Capabilities Adverse events decrease confidence
7 5 8
Environmental Context & Resources
We have an adequate physical layout to deliver it
7 4 8
Environmental Context & Resources
We have adequate equipment to deliver it
7 5 8
Goals Our unit has a process for setting goals for individual patients
7 4 8
Memory Attention Decision Making
Our interprofessional team makes decisions for individual patients
7 5 8
Reinforcement There is positive feedback in my unit for participation in its delivery
7 6 9
Skills It requires specialized skills 7 6 9
Skills I have the required skills 7 7 8
Skills Skills in biomechanics are required
7 6 8
Behavioural Regulation My practice is facilitated by formulation of a personal action plan
6 5 8
Behavioural Regulation We discuss barriers and ways to improve outside of clinical rounds.
6 3 8
Knowledge Gaps exist in the evidence base 6 4 8
Skills It requires practical training (outside of the work environment)
6 4 8
Social Influences Its delivery is influenced by patients and family members
6 5 8
Social Professional Role/Identity
It can conflict with my other duties
6 3 7
97
TDF Domain Item stem Round 3 MEDIAN
Round 3 1st Quartile
Round 3 3rd Quartile
Environmental Context & Resources
It requires ICU specialized equipment
5 5 7
Environmental Context & Resources
We have adequate funding for its delivery
4.5 2 6
Behavioural Regulation A plan is discussed everyday on rounds
4 2 7
Environmental Context & Resources
We have adequate staff to deliver it
4 2 6
Memory Attention Decision Making
Our unit has no standard process for making decisions for individual patients
4 1 7
Behavioural Regulation We receive feedback on its delivery in my unit
3 2 6
Beliefs about Consequences
It increases costs 2.5 1 5
98
Table 4.4 - Items with High Agreement (Median Score >=7) and High Consensus (>=90% of Respondents with Agreement>=7) by TDF Domain
TDF Domain Item Rounds with High Consensus
Knowledge It is facilitated by education and knowledge 2 and 3
Skills
Relevant skills are developed by working with experienced colleagues
2 and 3
It requires on the job experience 3
It requires interpersonal skills 3
It requires leadership skills 3
Social Professional Role/Identity
It is part of my role 2 and 3
It is a team responsibility 2 and 3
My role is to encourage and advocate 2 and 3
Beliefs about Capabilities
Interprofessional team support facilitates staff confidence
2 and 3
Optimism
It will be commonplace in ICU practice in the future
2 and 3
Future research will show more evidence of its benefits
2 and 3
Beliefs about Consequences
It increases muscle mass and strength (or decreases atrophy and weakness)
2 and 3
It positively affects patient mental health 2 and 3
It reduces ICU length of stay 2 and 3
It reduces hospital length of stay 2 and 3
Seeing patient progress due to early physical rehabilitation is personally rewarding
2 and 3
It reduces delirium 2 and 3
It improves long term physical function 3
It reduces use of sedating agents 3
It improves family perceptions of ICU care 3
It improves long term cognition 3
Environmental Context & Resources
Its delivery is affected by ICU culture 2 and 3
Its delivery is affected by sedation practices 2 and 3
It requires coordination and scheduling between the interprofessional team.
2 and 3
Social Influences Its delivery is influenced by ICU leadership 2 and 3
99
Table 4.5 - Round 2 to Round 3 Change in Agreement
Domain of the TDF Item Number of Individuals with an Absolute Change Score of ≥ 2 (N=50)
Round 2 Median Agreement Score (N=50)
Skills
It requires on the job experience
8 8
It requires interpersonal skills
5 9
Social Professional Role/Identity
My role is to coordinate it around other patient care activities.
5 7
I have a leadership role in its implementation
5 8
Goals One of our unit’s goals is to improve its delivery
7 8
Environmental Context & Resources
It requires rehabilitation staff that are specifically assigned to the ICU
8 7
We have adequate equipment to deliver it
6 6
Its delivery is affected by sedation practices
5 9
We have adequate funding for its delivery
8#
5
We have adequate staff to deliver it
5# 4.5
Social Influences
Its delivery is negatively influenced by discord between professions
8 7
Its delivery is influenced by patients and family members
8 6
Its delivery is influenced by local champions
6 8.5
My practice is influenced by exposure to experts in the field
6 8
100
# - negative change score
My practice is influenced by practices of other team members
6 7.5
Emotion Clinician fear affects participation
7 8
Behavioural Regulation My practice is facilitated by formulation of a personal action plan
7 6
101
Table 4.6 - Round 2 to Round 3 - Change in Importance
TDF Domain Item stem Number of Individuals with an Absolute Change Score of ≥ 2 (N=50)
Round 2 Median Importance Score
Skills
It requires interpersonal skills 9 9
It requires “on the job” experience 7 8
It requires leadership skills 6 8
Social Professional Role/Identity
My role is to screen and identify appropriate patients
7 7.5
My role is to carry it out 5 8
Charge/senior nurses play a leadership role 5 8
It can conflict with my other duties 6# 6.5
Beliefs about Capabilities
Interprofessional team support facilitates staff confidence
5 9
Optimism Future research will show more evidence of its benefits
5 8
Beliefs about Consequences
The benefits outweigh the harms 6 8.5
It improves family perceptions of ICU care 6 8
It reduces use of sedating agents 5 9
Seeing patient progress due to early physical rehabilitation is personally rewarding
5 9
Reinforcement There is positive feedback in my unit for participation in its delivery
6 8
Goals One of our unit’s goals is to improve its delivery
5 9
Our unit has a process for setting goals for individual patients
5 8
Environmental Context & Resources
It requires rehabilitation staff that are specifically assigned to the ICU
7 8
102
# - negative change score
Its delivery is affected by sedation practices 6 9
Its delivery is affected by ICU culture 6 9
We have adequate funding for its delivery 5 8
Social Influences
My practice is influenced by learning what works well at other institutions
7 7
Its delivery is influenced by local champions 7 8
My practice is influenced by practices of other team members
6 7
Its delivery is influenced by patients and family members
6 7
Its delivery is influenced by ICU leadership 5 9
My practice is influenced by exposure to experts in the field
5 7
Its delivery is negatively influenced by discord between professions
5 7
Emotion Clinician fear affects participation 7 7
Behavioural Regulation
We receive feedback on its delivery in my unit 7 8
My practice is facilitated by formulation of a personal action plan
6 6
It is facilitated by a unit protocol 5 8
We discuss barriers and ways to improve outside of clinical rounds.
5 8
103
Figure 4.1 -TDF domains important in the semi-structured interviews
Behaviour
Intentions
Goals
Memory, attention
and decision
processesEnviron-mental context
and resources
Social influences
Emotion
Behav-ioural
regulationKnow-ledge
Skills
Social/
professional role
Beliefs about capa-
bilities
Optimism
Beliefs about conse-
quences
Reinforce-ment
104
Figure 4.2 Screen shot of electronic survey interface
105
Figure 4.3 Participant flow through delphi
Round 3 Participants
Round 2 Participants
Round 1 Participants
74
63 complete data for Round 2
50 complete data (1 missing data for 1
question - have assumed no change
from Round 2)
7 non-respondents
5 extensive missing data
9 non-respondents (7 of these went on to complete Round 3)
2 extensive missing data
106
Figure 4.4 -Agreement change scores by professional group across all items
107
Chapter 5. Synthesis
5.1. Summary of Study Results by TDF Domain
5.1.1. Systematic Review
An analysis of barriers and facilitators is a key component of implementation science research
and of local quality improvement. In this series of studies, using the TDF as a framework, we
identified barriers and facilitators to early physical rehabilitation in ICU patients, with a focus on
mechanically ventilated patients (Table 5.1). As anticipated, in the systematic review of the
literature, we found a focus on the domains of Environmental Context and Resources, and
Beliefs about Consequences (Figure 3.1). However, we also commonly identified the domain of
Behavioural Regulation. Behavioural Regulation, as defined in the TDF literature, is “anything
aimed at managing or changing objectively observed or measured actions” 49,50. For example,
we found that many papers reported changing from an “opt-in” to “opt-out” approach, where
mobility became the default and a reason had to be given not to mobilize. Given the finding
that a large proportion of studies we identified were reporting implementation or quality
improvement interventions, Behavioural Regulation is often embedded in these interventions
through protocols or other practice structures such as inter-professional rounds, although was
never specifically labelled as such.
5.1.2. Delphi
Compared to the systematic review, the semi-structured interviews (Delphi Round 1) with
clinicians identified barriers and facilitators across a wide range of domains of the TDF. In fact,
108
seven of the fourteen domains of the TDF were identified as being of high importance (Figure
4.1). The same three domains as identified in the systematic review (Beliefs about
Consequences, Environmental Context and Resources, Behavioural regulation) were all
identified among the seven. However, four other domains were also identified by this method
– Skills, Social and Professional Role, Beliefs about Capabilities and Social Influences.
As items in Rounds 2 and 3 of the Delphi were based on the analysis of Round 1 and were
conducted with the same participants, concordance was expected. In Rounds 2 and 3 of the
Delphi, two additional domains of the TDF – Knowledge and Optimism - were identified as
important (Figure 5.1). As described in the relevant chapters, in Round 1 (the semi-structured
interviews), importance was determined by multiple factors (frequency of mention, participant
expression of importance, discord, difference between clinician groups and spontaneous
expression). However, in Rounds 2 and 3, importance was determined by virtue of having high
consensus among participants and high agreement on a Likert scale.
5.2. Social Influences
One of the domains identified in the semi-structured interviews that was also endorsed by
participants in subsequent Delphi rounds was Social Influences. Relative to domains which
were clearly dominant (Environmental Context and Resources, Beliefs about Consequences and
Behavioural Regulation), Social Influences was less commonly identified in the systematic
review of existing literature, although other qualitative work has identified team resistance as a
barrier 108. Specific beliefs were identified across the chapters, including issues around
interprofessional conflict, collaboration, and leadership.
109
Interprofessional collaboration and conflict in healthcare have been studied extensively in the
literature in general and to some extent in the ICU 136-138. Supportive literature for
interprofessional collaboration suggests it may be helpful, at least between physicians and
nurses, although barriers clearly exist 154. Variability in training, differing time pressures and
hierarchy in the culture of healthcare all contribute to challenges to meaningful
interprofessional collaboration. Our data suggest unique challenges when multiple professions
are involved in early physical rehabilitation for ICU patients.
5.3. The Use of Theory in Implementation Science
Recently, authors have advocated for the use of theory in implementation science 36,111.
However, in our systematic review, we found that studies rarely used any guiding theory or
framework for in assessing barriers and facilitators, or in the design of interventions. There
may be multiple reasons for this gap. First, researchers and quality improvers may lack the
expertise to incorporate theoretical frameworks into research questions. The newest version of
the TDF contains 14 domains, each based on a set of theories of behaviour rooted in psychology
and each including multiple constructs 50. It may be impractical for clinicians or researchers
who are clinical content experts to also become adequately trained in health psychology to
integrate complex theoretical frameworks into already complex implementation projects. If
theory-driven assessment of barriers (and subsequent design of interventions) improves
success, it may make more sense to routinely integrate those with implementation science
expertise into our research teams.
110
Secondly, theory-driven interventions are labour intensive. Even with adequate expertise, they
require time to assess barriers and facilitators and then develop interventions that are
theoretically sound, practical to deliver and in keeping with the clinical evidence base.
However, while interventions that lack a theoretical basis may be easier and quicker to design
and deploy, there is still significant time spent, which may be wasted if the intervention is
unsound.
The third reason for the lack of integration of theory may be that evidence of its efficacy is still
lacking. While it seems intuitive that interventions based on sound scientific principles
grounded in theory will work better that those that are not, there is, at this stage a lack of
strong evidence that this is the case. Most early TDF studies examined barriers and facilitators,
but had not yet reached the point of intervention 52,128,155,156. A few early trials have shown
promise 157,158, and other trials for which protocols have been published will hopefully provide a
fuller understanding of the role of theory driven interventions 159-161. The field of
implementation science requires more robust evidence that theoretically driven interventions
are better than those based on common sense.
5.4. Early Physical Rehabilitation. Are We Ready for Knowledge Translation?
Early physical rehabilitation, often called “early mobility” in the ICU literature, has enjoyed
growing interest among the ICU community. This has been driven by increased attention by
intensivists to the morbidity of ICU survivors 61,162, a body of early supportive literature
17,22,23,65,66 and by a general move away from a culture of bedrest. However, more recent trials
have been disappointing. An underpowered Australian trial showed no effect on six-minute
111
walk distance at six months of an individualized intervention starting in the ICU and continuing
to the post-hospital discharge period 24. Further trials 25,26 of similar interventions, including
one of an increased intensity intervention 26 also showed no effect on the primary outcome.
Somewhat hopefully, a recent trial of early mobility in surgical ICU patients showed
improvement in three co-primary outcomes: mobility during ICU stay, ICU length of stay and
functional status at hospital discharge 60. Importantly, ICU length of stay and hospital length of
stay (secondary outcome) were 3.0 and 6.5 days shorter in the treatment arm.
It is challenging to interpret this body of work and to know how to act on it, for those engaged
in implementation science, those designing future research and for clinicians. Except for two
trials conducted at five centres 26,60, all other studies are either single or two-centre trials.
Trials have been modest in size, with the largest trial of 300 patients powered on an optimistic
30% improvement in hospital length of stay. In contrast, a recent trial of early rehabilitation in
acute stroke (A Very Early Rehabilitation Trial - AVERT) randomized over 2000 patients in 56
centres, and showed harm of early mobility. While direct comparisons between this and the
ICU literature are inappropriate when outcomes and populations are different, the AVERT trial
has three important lessons. First, achieving adequate statistical power to detect differences
between treatment groups, especially in outcomes many months after the intervention, may
require very large sample sizes. This leads to concern that trials of early mobility in critically ill
patients have used overly optimistic effect sizes in sample size calculations, so called delta
inflation 163. One trial anticipated a 30 percent reduction in hospital length of stay 25, although
the authors’ own data from prior published quality improvement work showed a reduction of
only 23% 66.
112
Secondly, early positive results from small trials in any field may be spurious and should be
interpreted with caution. Like the evidence in critical care, early small trials of early mobility in
acute stroke were suggestive of benefit, although inconclusive 164-167. The potential for small,
early trials to over-estimate treatment effects is well established from empirical research,
particularly with non-fatal outcomes 168. It may be secondary to treatment heterogeneity 169,
methodologic issues 170 and to publication bias 171. An analysis of the impact of sample size on
effect size in 317 trials published in 27 meta-analyses in critical care specifically found when
comparing small (<100 participants) to large trials effect sizes were significantly larger 172.
Thirdly, while challenging, this trial demonstrates that it is feasible to conduct large scale multi-
centred trials of complex interventions. Critical care researchers need to leverage existing
clinical trial networks to carry out trials across settings to ensure adequate statistical power and
generalizability.
The question remains whether it is appropriate to engage in wide scale implementation of early
mobility at this time. The optimal timing of knowledge translation interventions for new
interventions generally is unknown. Interventions adopted too early may be based on flawed
evidence and may either be useless or potentially harmful and, in either case, divert resources
from effective therapies in healthcare. Once adopted, interventions are often difficult to “de-
adopt” 173. A recent study showed little reduction of the use of rescue therapies for acute
respiratory distress syndrome after “high impact” publications not supporting their use 174.
Conversely, clinicians are often slow to adopt evidence based therapies, and implementation
can take years, especially as complexity of the intervention increases.
113
Key factors impacting on timing of implementation include the strength of the evidence (ideally
evaluated using an agreed-upon tool, such as GRADE 175), risks of the intervention, financial and
other costs of the intervention, the degree of change from usual practice and effects on other
interventions (often called “balancing measures” in quality improvement literature). In the
case of early physical rehabilitation, although early literature was promising, the strength of the
evidence at present is low. Furthermore, although there is recently robust safety data
regarding accidental tube dislodgment and acute cardiorespiratory deterioration 110, there are
concerning (although not statistically significant) point estimates for increased mortality in
some studies 60. On the other hand, if physiotherapists are already engaged in ICUs, the
financial cost to changing workload from, for example, chest physiotherapy, to mobilization
may be reasonably low. Ultimately, given important new and concerning data about mortality
60, large scale implementation work in early rehabilitation in the ICU may be premature.
However, this type of theory driven work may have important implications for integrated
knowledge translation in future trials in this area.
5.5. Conclusions
This is the first comprehensive, theoretically driven series of studies examining barriers and
facilitators to early physical rehabilitation in critically ill patients. Using the TDF as a tool for
synthesis, a systematic review found little to no use of theory in the previously published
literature on this subject. Using the TDF, we found barriers and facilitators not previously
identified , in particular in the domain of Social Influences. The data from this work should be
used in future implementation work, in designing integrated KT and in implementation trials.
114
Table 5.1 - Overview of Results by Chapter -
Domain Systematic Review
Delphi Round 1 (Semi-Structured Interviews)
Delphi Rounds 2 and 3 (Questionnaire)
Knowledge ✓
Skills ✓ ✓ Social or Professional Role and Identity ✓ ✓
Beliefs about Capabilities ✓ ✓
Optimism ✓ Beliefs about Consequences ✓ ✓ ✓
Reinforcement
Intentions Goals
Memory, Attention and Decision Processes
Environmental Context and Resources ✓ ✓ ✓
Social Influences ✓ ✓ Emotion
Behavioural Regulation ✓ ✓
Shaded domains were not identified as important by any methodology.
115
Figure 5.1 - TDF Domains identified as important in delphi - orange domains are new domains for Rounds 2 & 3 of Delphi, crossed out domain was identified in interviews but not Rounds 2 & 3
Behaviour
Intentions
Goals
Memory, attention
and decision
processesEnviron-mental context
and resources
Social influences
Emotion
Behav-ioural
regulationKnow-ledge
Skills
Social/ professional
role
Beliefs about capa-
bilities
Optimism
Beliefs about conse-
quences
Reinforce-ment
116
References
1. Adhikari NK, Fowler RA, Bhagwanjee S, Rubenfeld GD. Critical care and the global burden of
critical illness in adults. Lancet. 2010;376(9749):1339-1346.
2. Needham DM, Bronskill SE, Calinawan JR, Sibbald WJ, Pronovost PJ, Laupacis A. Projected
incidence of mechanical ventilation in Ontario to 2026: Preparing for the aging baby boomers.
Crit Care Med. 2005;33(3):574-579.
3. Martin GS, Mannino DM, Eaton S, Moss M. The epidemiology of sepsis in the United States from
1979 through 2000. N Engl J Med. 2003;348(16):1546-1554.
4. Erickson SE, Martin GS, Davis JL, Matthay MA, Eisner MD. Recent trends in acute lung injury
mortality: 1996-2005. Crit Care Med. 2009;37(5):1574-1579.
5. Herridge MS, Tansey CM, Matte A, et al. Functional disability 5 years after acute respiratory
distress syndrome. N Engl J Med. 2011;364(14):1293-1304.
6. Pandharipande PP, Girard TD, Jackson JC, et al. Long-term cognitive impairment after critical
illness. N Engl J Med. 2013;369(14):1306-1316.
7. Davydow DS, Gifford JM, Desai SV, Bienvenu OJ, Needham DM. Depression in general intensive
care unit survivors: a systematic review. Intensive Care Med. 2009;35(5):796-809.
8. Parker AM, Sricharoenchai T, Raparla S, Schneck KW, Bienvenu OJ, Needham DM. Posttraumatic
stress disorder in critical illness survivors: a metaanalysis. Crit Care Med. 2015;43(5):1121-1129.
9. Cuthbertson BH, Elders A, Hall S, et al. Mortality and quality of life in the five years after severe
sepsis. Crit Care. 2013;17(2):R70.
10. Cuthbertson BH, Roughton S, Jenkinson D, Maclennan G, Vale L. Quality of life in the five years
after intensive care: a cohort study. Crit Care. 2010;14(1):R6.
117
11. Choi J, Sherwood PR, Schulz R, et al. Patterns of depressive symptoms in caregivers of
mechanically ventilated critically ill adults from intensive care unit admission to 2 months
postintensive care unit discharge: a pilot study. Critical Care Medicine. 2012;40(5):1546-1553.
12. Dos Santos C, Hussain SN, Mathur S, et al. Mechanisms of Chronic Muscle Wasting and
Dysfunction after an Intensive Care Unit Stay. A Pilot Study. Am J Respir Crit Care Med.
2016;194(7):821-830.
13. Patel BK, Pohlman AS, Hall JB, Kress JP. Impact of early mobilization on glycemic control and ICU-
acquired weakness in critically ill patients who are mechanically ventilated. Chest.
2014;146(3):583-589.
14. Kress JP, Pohlman AS, O'Connor MF, Hall JB. Daily interruption of sedative infusions in critically
ill patients undergoing mechanical ventilation. N Engl J Med. 2000;342(20):1471-1477.
15. Mehta S, Burry L, Cook D, et al. Daily sedation interruption in mechanically ventilated critically ill
patients cared for with a sedation protocol: a randomized controlled trial. JAMA.
2012;308(19):1985-1992.
16. Ely EW, Baker AM, Dunagan DP, et al. Effect on the duration of mechanical ventilation of
identifying patients capable of breathing spontaneously. N Engl J Med. 1996;335(25):1864-1869.
17. Schweickert WD, Pohlman MC, Pohlman AS, et al. Early physical and occupational therapy in
mechanically ventilated, critically ill patients: a randomised controlled trial. Lancet.
2009;373(9678):1874-1882.
18. Jackson JC, Ely EW, Morey MC, et al. Cognitive and physical rehabilitation of intensive care unit
survivors: results of the RETURN randomized controlled pilot investigation. Crit Care Med.
2012;40(4):1088-1097.
19. Kho ME, Martin RA, Toonstra AL, et al. Feasibility and safety of in-bed cycling for physical
rehabilitation in the intensive care unit. J Crit Care. 2015;30(6):1419 e1411-1415.
118
20. Kho ME, Truong AD, Zanni JM, et al. Neuromuscular electrical stimulation in mechanically
ventilated patients: a randomized, sham-controlled pilot trial with blinded outcome assessment.
J Crit Care. 2015;30(1):32-39.
21. Bourdin G, Barbier J, Burle J-F, et al. The feasibility of early physical activity in intensive care unit
patients: a prospective observational one-center study. Respiratory Care. 2010;55(4):400-407.
22. Pohlman MC, Schweickert WD, Pohlman AS, et al. Feasibility of physical and occupational
therapy beginning from initiation of mechanical ventilation. Critical Care Medicine.
2010;38(11):2089-2094.
23. Burtin C, Clerckx B, Robbeets C, et al. Early exercise in critically ill patients enhances short-term
functional recovery. Critical Care Medicine. 2009;37(9):2499-2505.
24. Denehy L, Skinner EH, Edbrooke L, et al. Exercise rehabilitation for patients with critical illness: a
randomized controlled trial with 12 months of follow-up. Crit Care. 2013;17(4):R156.
25. Morris PE, Berry MJ, Files DC, et al. Standardized Rehabilitation and Hospital Length of Stay
Among Patients With Acute Respiratory Failure: A Randomized Clinical Trial. JAMA.
2016;315(24):2694-2702.
26. Moss M, Nordon-Craft A, Malone D, et al. A Randomized Trial of an Intensive Physical Therapy
Program for Patients with Acute Respiratory Failure. Am J Respir Crit Care Med.
2016;193(10):1101-1110.
27. Cuthbertson BH, Rattray J, Campbell MK, et al. The PRaCTICaL study of nurse led, intensive care
follow-up programmes for improving long term outcomes from critical illness: a pragmatic
randomised controlled trial. BMJ. 2009;339:b3723.
28. Elliott D, McKinley S, Alison J, et al. Health-related quality of life and physical recovery after a
critical illness: a multi-centre randomised controlled trial of a home-based physical rehabilitation
program. Crit Care. 2011;15(3):R142.
119
29. Walsh TS, Salisbury LG, Merriweather JL, et al. Increased Hospital-Based Physical Rehabilitation
and Information Provision After Intensive Care Unit Discharge: The RECOVER Randomized
Clinical Trial. JAMA Intern Med. 2015;175(6):901-910.
30. Barr J, Fraser GL, Puntillo K, et al. Clinical practice guidelines for the management of pain,
agitation, and delirium in adult patients in the intensive care unit. Crit Care Med.
2013;41(1):263-306.
31. Gosselink R, Bott J, Johnson M, et al. Physiotherapy for adult patients with critical illness:
recommendations of the European Respiratory Society and European Society of Intensive Care
Medicine Task Force on Physiotherapy for Critically Ill Patients. Intensive Care Med.
2008;34(7):1188-1199.
32. Girard TD, Alhazzani W, Kress JP, et al. An Official American Thoracic Society/American College
of Chest Physicians Clinical Practice Guideline: Liberation from Mechanical Ventilation in
Critically Ill Adults. Rehabilitation Protocols, Ventilator Liberation Protocols, and Cuff Leak Tests.
Am J Respir Crit Care Med. 2016.
33. Ivers N, Jamtvedt G, Flottorp S, et al. Audit and feedback: effects on professional practice and
healthcare outcomes. Cochrane Database Syst Rev. 2012(6):CD000259.
34. O'Brien MA, Rogers S, Jamtvedt G, et al. Educational outreach visits: effects on professional
practice and health care outcomes. Cochrane Database Syst Rev. 2007(4):CD000409.
35. Reeves S, Perrier L, Goldman J, Freeth D, Zwarenstein M. Interprofessional education: effects on
professional practice and healthcare outcomes (update). Cochrane Database Syst Rev.
2013(3):CD002213.
36. Grimshaw JM, Thomas RE, MacLennan G, et al. Effectiveness and efficiency of guideline
dissemination and implementation strategies. Health technology assessment. 2004;8(6):iii-iv, 1-
72.
120
37. Ilan R, Fowler RA, Geerts R, Pinto R, Sibbald WJ, Martin CM. Knowledge translation in critical
care: factors associated with prescription of commonly recommended best practices for
critically ill patients. Crit Care Med. 2007;35(7):1696-1702.
38. Sinuff T, Muscedere J, Adhikari NK, et al. Knowledge translation interventions for critically ill
patients: a systematic review*. Crit Care Med. 2013;41(11):2627-2640.
39. Craig P, Dieppe P, Macintyre S, et al. Developing and evaluating complex interventions: the new
Medical Research Council guidance. BMJ. 2008;337:a1655.
40. Needham DM, Korupolu R, Zanni JM, et al. Early physical medicine and rehabilitation for
patients with acute respiratory failure: a quality improvement project. Archives of Physical
Medicine & Rehabilitation. 2010;91(4):536-542.
41. Titsworth WL, Hester J, Correia T, et al. The effect of increased mobility on morbidity in the
neurointensive care unit. Journal of Neurosurgery. 2012;116(6):1379-1388.
42. Malone D, Ridgeway K, Nordon-Craft A, Moss P, Schenkman M, Moss M. Physical Therapist
Practice in the Intensive Care Unit: Results of a National Survey. Phys Ther. 2015;95(10):1335-
1344.
43. Berney SC, Harrold M, Webb SA, et al. Intensive care unit mobility practices in Australia and New
Zealand: a point prevalence study. Crit Care Resusc. 2013;15(4):260-265.
44. Nydahl P, Ruhl AP, Bartoszek G, et al. Early mobilization of mechanically ventilated patients: a 1-
day point-prevalence study in Germany. Crit Care Med. 2014;42(5):1178-1186.
45. Casaubon LK, Boulanger JM, Glasser E, et al. Canadian Stroke Best Practice Recommendations:
Acute Inpatient Stroke Care Guidelines, Update 2015. Int J Stroke. 2016;11(2):239-252.
46. Duncan PW, Zorowitz R, Bates B, et al. Management of Adult Stroke Rehabilitation Care: a
clinical practice guideline. Stroke. 2005;36(9):e100-143.
121
47. Garzon-Serrano J, Ryan C, Waak K, et al. Early mobilization in critically ill patients: patients'
mobilization level depends on health care provider's profession. Pm & R. 2011;3(4):307-313.
48. Colquhoun HL, Brehaut JC, Sales A, et al. A systematic review of the use of theory in randomized
controlled trials of audit and feedback. Implement Sci. 2013;8:66.
49. Michie S, Johnston M, Abraham C, Lawton R, Parker D, Walker A. Making psychological theory
useful for implementing evidence based practice: a consensus approach. Quality & safety in
health care. 2005;14(1):26-33.
50. Cane J, O'Connor D, Michie S. Validation of the theoretical domains framework for use in
behaviour change and implementation research. Implement. Sci. 2012;7:17.
51. Cuthbertson BH, Campbell MK, MacLennan G, et al. Clinical stakeholders' opinions on the use of
selective decontamination of the digestive tract in critically ill patients in intensive care units: an
international Delphi study. Crit Care. 2013;17(6):R266.
52. Islam R, Tinmouth AT, Francis JJ, et al. A cross-country comparison of intensive care physicians'
beliefs about their transfusion behaviour: a qualitative study using the Theoretical Domains
Framework. Implement Sci. 2012;7:93.
53. Patey AM, Islam R, Francis JJ, Bryson GL, Grimshaw JM, Canada PPT. Anesthesiologists' and
surgeons' perceptions about routine pre-operative testing in low-risk patients: application of the
Theoretical Domains Framework (TDF) to identify factors that influence physicians' decisions to
order pre-operative tests. Implement Sci. 2012;7:52.
54. Graham ID, Tetroe J. How to translate health research knowledge into effective healthcare
action. Healthc Q. 2007;10(3):20-22.
55. Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation
of health services research findings into practice: a consolidated framework for advancing
implementation science. Implement Sci. 2009;4:50.
122
56. Rycroft-Malone J. The PARIHS framework--a framework for guiding the implementation of
evidence-based practice. J Nurs Care Qual. 2004;19(4):297-304.
57. Kitson A, Harvey G, McCormack B. Enabling the implementation of evidence based practice: a
conceptual framework. Qual Health Care. 1998;7(3):149-158.
58. Helfrich CD, Damschroder LJ, Hagedorn HJ, et al. A critical synthesis of literature on the
promoting action on research implementation in health services (PARIHS) framework.
Implement Sci. 2010;5:82.
59. Greenhalgh T, Robert G, Macfarlane F, Bate P, Kyriakidou O. Diffusion of innovations in service
organizations: systematic review and recommendations. Milbank Q. 2004;82(4):581-629.
60. Schaller SJ, Anstey M, Blobner M, et al. Early, goal-directed mobilisation in the surgical intensive
care unit: a randomised controlled trial. Lancet. 2016;388(10052):1377-1388.
61. Needham DM, Davidson J, Cohen H, et al. Improving long-term outcomes after discharge from
intensive care unit: report from a stakeholders' conference. Crit Care Med. 2012;40(2):502-509.
62. De Jonghe B, Sharshar T, Lefaucheur JP, et al. Paresis acquired in the intensive care unit: a
prospective multicenter study. JAMA. 2002;288(22):2859-2867.
63. Bienvenu OJ, Colantuoni E, Mendez-Tellez PA, et al. Depressive symptoms and impaired physical
function after acute lung injury: a 2-year longitudinal study. Am J Respir Crit Care Med.
2012;185(5):517-524.
64. Davydow DS, Desai SV, Needham DM, Bienvenu OJ. Psychiatric morbidity in survivors of the
acute respiratory distress syndrome: a systematic review. Psychosom Med. 2008;70(4):512-519.
65. Bailey P, Thomsen GE, Spuhler VJ, et al. Early activity is feasible and safe in respiratory failure
patients. Critical Care Medicine. 2007;35(1):139-145.
66. Morris PE, Goad A, Thompson C, et al. Early intensive care unit mobility therapy in the treatment
of acute respiratory failure. Critical Care Medicine. 2008;36(8):2238-2243.
123
67. Lord RK, Mayhew CR, Korupolu R, et al. ICU early physical rehabilitation programs: financial
modeling of cost savings. Crit Care Med. 2013;41(3):717-724.
68. Hodgin KE, Nordon-Craft A, McFann KK, Mealer ML, Moss M. Physical therapy utilization in
intensive care units: results from a national survey. Critical Care Medicine. 2009;37(2):561-566;
quiz 566-568.
69. Hodgson C, Bellomo R, Berney S, et al. Early mobilization and recovery in mechanically
ventilated patients in the ICU: a bi-national, multi-centre, prospective cohort study. Crit Care.
2015;19:81.
70. Graham ID, Logan J, Harrison MB, et al. Lost in knowledge translation: time for a map? J Contin
Educ Health Prof. 2006;26(1):13-24.
71. French SD, Green SE, O'Connor DA, et al. Developing theory-informed behaviour change
interventions to implement evidence into practice: a systematic approach using the Theoretical
Domains Framework. Implement. Sci. 2012;7:8.
72. Zhu D, Norman IJ, While AE. The relationship between health professionals' weight status and
attitudes towards weight management: a systematic review. Obes. Rev. 2011;12(501):e324-
e337.
73. Cochrane LJ, Olson CA, Murray S, Dupuis M, Tooman T, Hayes S. Gaps between knowing and
doing: understanding and assessing the barriers to optimal health care. J Contin Educ Health
Prof. 2007;27(2):94-102.
74. Michie S, Johnston M, Francis J, Hardeman W, Eccles M. From theory to intervention: Mapping
theoretically derived behavioural determinants to behaviour change techniques. Appl. Psychol.-
Int. Rev.-Psychol. Appl.-Rev. Int. 2008;57(4):660-680.
75. Appleton RTD, MacKinnon M, Booth MG, Well J, Quasim T. Rehabilitation within Scottish
intensive care units: a national survey. The Intensive Care Society. 2011;12(3):221-227.
124
76. Bakhru RN, Wiebe DJ, McWilliams DJ, Spuhler VJ, Schweickert WD. An Environmental Scan for
Early Mobilization Practices in U.S. ICUs. Crit Care Med. 2015;43(11):2360-2369.
77. Jolley SE, Caldwell E, Hough CL. Factors associated with receipt of physical therapy consultation
in patients requiring prolonged mechanical ventilation. Dimens Crit Care Nurs. 2014;33(3):160-
167.
78. Jolley SE, Dale CR, Hough CL. Hospital-level factors associated with report of physical activity in
patients on mechanical ventilation across Washington State. Ann Am Thorac Soc.
2015;12(2):209-215.
79. King J, Crowe J. Mobilization practices in Canadian critical care units. Physiotherapy Canada.
1998;50(3):206-211.
80. Miller MA, Govindan S, Watson SR, Hyzy RC, Iwashyna TJ. ABCDE, but in that order? A cross-
sectional survey of Michigan intensive care unit sedation, delirium, and early mobility practices.
Ann Am Thorac Soc. 2015;12(7):1066-1071.
81. Skinner EH, Berney S, Warrillow S, Denehy L. Rehabilitation and exercise prescription in
Australian intensive care units. Physiotherapy. 2008;94(3):220-229.
82. Abrams D, Javidfar J, Farrand E, et al. Early mobilization of patients receiving extracorporeal
membrane oxygenation: a retrospective cohort study. Crit Care. 2014;18(1):R38.
83. Berney S, Haines K, Skinner EH, Denehy L. Safety and feasibility of an exercise prescription
approach to rehabilitation across the continuum of care for survivors of critical illness. Phys
Ther. 2012;92(12):1524-1535.
84. Harrold ME, Salisbury LG, Webb SA, Allison GT. Early mobilisation in intensive care units in
Australia and Scotland: a prospective, observational cohort study examining mobilisation
practises and barriers. Crit Care. 2015;19:336.
125
85. McWilliams DJ, Pantelides KP. Does physiotherapy led early mobilisation affect length of stay on
ICU? ACPRC Journal. 2008;40:5-10.
86. Thomsen GE, Snow GL, Rodriguez L, Hopkins RO. Patients with respiratory failure increase
ambulation after transfer to an intensive care unit where early activity is a priority. Crit Care
Med. 2008;36(4):1119-1124.
87. Winkelman C, Johnson KD, Hejal R, et al. Examining the positive effects of exercise in intubated
adults in ICU: a prospective repeated measures clinical study. Intensive Crit Care Nurs.
2012;28(6):307-318.
88. Winkelman C, Peereboom K. Staff-perceived barriers and facilitators. Critical Care Nurse.
2010;30(2):S13-16.
89. Barber EA, Everard T, Holland AE, Tipping C, Bradley SJ, Hodgson CL. Barriers and facilitators to
early mobilisation in Intensive Care: a qualitative study. Aust Crit Care. 2015;28(4):177-182; quiz
183.
90. Eakin MN, Ugbah L, Arnautovic T, Parker AM, Needham DM. Implementing and sustaining an
early rehabilitation program in a medical intensive care unit: A qualitative analysis. J Crit Care.
2015;30(4):698-704.
91. Holdsworth C, Haines KJ, Francis JJ, Marshall A, O'Connor D, Skinner EH. Mobilization of
ventilated patients in the intensive care unit: An elicitation study using the theory of planned
behavior. Journal of Critical Care. 2015;30(6):1243-1250.
92. Balas MC, Burke WJ, Gannon D, et al. Implementing the awakening and breathing coordination,
delirium monitoring/management, and early exercise/mobility bundle into everyday care:
opportunities, challenges, and lessons learned for implementing the ICU Pain, Agitation, and
Delirium Guidelines. Crit Care Med. 2013;41(9 Suppl 1):S116-127.
126
93. Balas MC, Vasilevskis EE, Olsen KM, et al. Effectiveness and safety of the awakening and
breathing coordination, delirium monitoring/management, and early exercise/mobility bundle.
Crit Care Med. 2014;42(5):1024-1036.
94. Needham DM, Korupolu R. Rehabilitation quality improvement in an intensive care unit setting:
implementation of a quality improvement model. Topics in Stroke Rehabilitation.
2010;17(4):271-281.
95. Bahadur K, Jones G, Ntoumenopoulos G. An observational study of sitting out of bed in
tracheostomised patients in the intensive care unit. Physiotherapy. 2008;94(4):300-305.
96. Castro E, Turcinovic M, Platz J, Law I. Early Mobilization: Changing the Mindset. Crit Care Nurse.
2015;35(4):e1-e6.
97. Dammeyer JA, Baldwin N, Harrington S, Christofferson B, Christopher J, Iwashyna J. Mobilizing
Outcomes - Implementation of a Nurse-Led Multidisciplinary Mobility Program. Critical Care
Nursing Quarterly. 2013;36(1):109-119.
98. Drolet A, DeJuilio P, Harkless S, et al. Move to improve: the feasibility of using an early mobility
protocol to increase ambulation in the intensive and intermediate care settings. Phys Ther.
2013;93(2):197-207.
99. Engel HJ, Tatebe S, Alonzo PB, Mustille RL, Rivera MJ. Physical therapist-established intensive
care unit early mobilization program: quality improvement project for critical care at the
University of California San Francisco Medical Center. Phys Ther. 2013;93(7):975-985.
100. Harris CL, Shahid S. Physical therapy-driven quality improvement to promote early mobility in
the intensive care unit. Proc (Bayl Univ Med Cent). 2014;27(3):203-207.
101. Hildreth AN, Enniss T, Martin RS, et al. Surgical intensive care unit mobility is increased after
institution of a computerized mobility order set and intensive care unit mobility protocol: a
prospective cohort analysis. Am Surg. 2010;76(8):818-822.
127
102. Desai SV, Law TJ, Needham DM. Long-term complications of critical care. Crit Care Med.
2011;39(2):371-379.
103. Talley CL, Wonnacott RO, Schuette JK, Jamieson J, Heung M. Extending the Benefits of Early
Mobility to Critically Ill Patients Undergoing Continuous Renal Replacement Therapy. Crit Care
Nurs Q. 2013;36(1):89-100.
104. Bassett RD, Vollman KM, Brandwene L, Murray T. Integrating a multidisciplinary mobility
programme into intensive care practice (IMMPTP): a multicentre collaborative. Intensive &
Critical Care Nursing. 2012;28(2):88-97.
105. Carrothers KM, Barr J, Spurlock B, Ridgely MS, Damberg CL, Ely EW. Contextual issues
influencing implementation and outcomes associated with an integrated approach to managing
pain, agitation, and delirium in adult ICUs. Crit Care Med. 2013;41(9 Suppl 1):S128-135.
106. Jolley SE, Regan-Baggs J, Dickson RP, Hough CL. Medical intensive care unit clinician attitudes
and perceived barriers towards early mobilization of critically ill patients: a cross-sectional
survey study. BMC Anesthesiol. 2014;14:84.
107. Leditschke IA, Green M, Irvine J, Bissett B, Mitchell IA. What are the barriers to mobilizing
intensive care patients? Cardiopulm Phys Ther J. 2012;23(1):26-29.
108. Holdsworth C, Haines KJ, Francis JJ, Marshall A, O'Connor D, Skinner EH. Mobilization of
ventilated patients in the intensive care unit: An elicitation study using the theory of planned
behavior. J Crit Care. 2015;30(6):1243-1250.
109. Cane J, Richardson M, Johnston M, Ladha R, Michie S. From lists of behaviour change techniques
(BCTs) to structured hierarchies: comparison of two methods of developing a hierarchy of BCTs.
Br J Health Psychol. 2015;20(1):130-150.
128
110. Sricharoenchai T, Parker AM, Zanni JM, Nelliot A, Dinglas VD, Needham DM. Safety of physical
therapy interventions in critically ill patients: a single-center prospective evaluation of 1110
intensive care unit admissions. J Crit Care. 2014;29(3):395-400.
111. Grol RP, Bosch MC, Hulscher ME, Eccles MP, Wensing M. Planning and studying improvement in
patient care: the use of theoretical perspectives. Milbank Q. 2007;85(1):93-138.
112. Davies P, Walker AE, Grimshaw JM. A systematic review of the use of theory in the design of
guideline dissemination and implementation strategies and interpretation of the results of
rigorous evaluations. Implement Sci. 2010;5:14.
113. Ogrinc G, Davies L, Goodman D, Batalden P, Davidoff F, Stevens D. SQUIRE 2.0 (Standards for
QUality Improvement Reporting Excellence): revised publication guidelines from a detailed
consensus process. BMJ quality & safety. 2015.
114. Titler MG, Kleiber C, Steelman VJ, et al. The Iowa Model of Evidence-Based Practice to Promote
Quality Care. Crit Care Nurs Clin North Am. 2001;13(4):497-509.
115. Pronovost P, Needham D, Berenholtz S, et al. An intervention to decrease catheter-related
bloodstream infections in the ICU. N Engl J Med. 2006;355(26):2725-2732.
116. Grol R, Wensing M. What drives change? Barriers to and incentives for achieving evidence-based
practice. Med J Aust. 2004;180(6 Suppl):S57-60.
117. Pisani MA, Murphy TE, Araujo KL, Slattum P, Van Ness PH, Inouye SK. Benzodiazepine and opioid
use and the duration of intensive care unit delirium in an older population. Crit Care Med.
2009;37(1):177-183.
118. Shehabi Y, Chan L, Kadiman S, et al. Sedation depth and long-term mortality in mechanically
ventilated critically ill adults: a prospective longitudinal multicentre cohort study. Intensive Care
Med. 2013;39(5):910-918.
129
119. Puthucheary ZA, Rawal J, McPhail M, et al. Acute skeletal muscle wasting in critical illness.
JAMA. 2013;310(15):1591-1600.
120. Hopkins RO, Weaver LK, Collingridge D, Parkinson RB, Chan KJ, Orme JF, Jr. Two-year cognitive,
emotional, and quality-of-life outcomes in acute respiratory distress syndrome. Am J Respir Crit
Care Med. 2005;171(4):340-347.
121. Kayambu G, Boots R, Paratz J. Physical therapy for the critically ill in the ICU: a systematic review
and meta-analysis. Crit Care Med. 2013;41(6):1543-1554.
122. Castro-Avila AC, Seron P, Fan E, Gaete M, Mickan S. Effect of Early Rehabilitation during
Intensive Care Unit Stay on Functional Status: Systematic Review and Meta-Analysis. PLoS One.
2015;10(7):e0130722.
123. Kayambu G, Boots RJ, Paratz JD. Early rehabilitation in sepsis: A prospective randomised
controlled trial investigating functional and physiological outcomes The i-PERFORM Trial
(Protocol Article). BMC Anesthesiology. 2011;11(21).
124. Sommers J, Engelbert RH, Dettling-Ihnenfeldt D, et al. Physiotherapy in the intensive care unit:
an evidence-based, expert driven, practical statement and rehabilitation recommendations. Clin
Rehabil. 2015;29(11):1051-1063.
125. Tan T, Brett SJ, Stokes T. Rehabilitation after critical illness: summary of NICE guidance. BMJ.
2009;338:b822.
126. Koo KK, Choong K, Cook DJ, et al. Early mobilization of critically ill adults: a survey of knowledge,
perceptions and practices of Canadian physicians and physiotherapists. CMAJ Open.
2016;4(3):E448-E454.
127. Foy R, Ovretveit J, Shekelle PG, et al. The role of theory in research to develop and evaluate the
implementation of patient safety practices. BMJ quality & safety. 2011;20(5):453-459.
130
128. Francis JJ, Tinmouth A, Stanworth SJ, et al. Using theories of behaviour to understand
transfusion prescribing in three clinical contexts in two countries: development work for an
implementation trial. Implement Sci. 2009;4:70.
129. Patton M. Purposeful Sampling. Qualitative evaluation and research methods. Beverly Hills, CA:
Sage; 1990:169-186.
130. Landis JR, Koch GG. An application of hierarchical kappa-type statistics in the assessment of
majority agreement among multiple observers. Biometrics. 1977;33(2):363-374.
131. Krippendorff K. Content Analysis: An Introduction to its Methodology. 3 ed: SAGE Publishing;
2013.
132. Francis JJ, Johnston M, Robertson C, et al. What is an adequate sample size? Operationalising
data saturation for theory-based interview studies. Psychol Health. 2010;25(10):1229-1245.
133. Francis JJ, Duncan EM, Prior ME, et al. Comparison of four methods for assessing the importance
of attitudinal beliefs: an international Delphi study in intensive care settings. Br J Health Psychol.
2014;19(2):274-291.
134. Duncan EM, Francis JJ, Johnston M, et al. Learning curves, taking instructions, and patient safety:
using a theoretical domains framework in an interview study to investigate prescribing errors
among trainee doctors. Implement. Sci. 2012;7:13.
135. Petticrew M, Anderson L, Elder R, et al. Complex interventions and their implications for
systematic reviews: a pragmatic approach. J Clin Epidemiol. 2013;66(11):1209-1214.
136. Danjoux Meth N, Lawless B, Hawryluck L. Conflicts in the ICU: perspectives of administrators and
clinicians. Intensive Care Med. 2009;35(12):2068-2077.
137. Lingard L, Espin S, Evans C, Hawryluck L. The rules of the game: interprofessional collaboration
on the intensive care unit team. Crit Care. 2004;8(6):R403-408.
131
138. Paradis E, Leslie M, Gropper MA. Interprofessional rhetoric and operational realities: an
ethnographic study of rounds in four intensive care units. Adv Health Sci Educ Theory Pract.
2016;21(4):735-748.
139. Flodgren G, Parmelli E, Doumit G, et al. Local opinion leaders: effects on professional practice
and health care outcomes. Cochrane Database Syst Rev. 2011(8):CD000125.
140. Hanekom S, Gosselink R, Dean E, et al. The development of a clinical management algorithm for
early physical activity and mobilization of critically ill patients: synthesis of evidence and expert
opinion and its translation into practice. Clinical Rehabilitation. 2011;25(9):771-787.
141. Forsetlund L, Bjorndal A, Rashidian A, et al. Continuing education meetings and workshops:
effects on professional practice and health care outcomes. Cochrane Database Syst Rev.
2009(2):CD003030.
142. Nisbett RE, Wilson TD. The halo effect: Evidence for unconscious alteration of judgments. J Pers
and Soc Psych. 1977;35(4): 250-256.
143. Kayambu G, Boots R, Paratz J. Early physical rehabilitation in intensive care patients with sepsis
syndromes: a pilot randomised controlled trial. Intensive Care Med. 2015;41(5):865-874.
144. Hutchings A, Raine R, Sanderson C, Black N. A comparison of formal consensus methods used for
developing clinical guidelines. J Health Serv Res Policy. 2006;11(4):218-224.
145. Marik PE, Pastores SM, Annane D, et al. Recommendations for the diagnosis and management
of corticosteroid insufficiency in critically ill adult patients: consensus statements from an
international task force by the American College of Critical Care Medicine. Crit Care Med.
2008;36(6):1937-1949.
146. Buckley JD, Addrizzo-Harris DJ, Clay AS, et al. Multisociety task force recommendations of
competencies in Pulmonary and Critical Care Medicine. Am J Respir Crit Care Med.
2009;180(4):290-295.
132
147. Ferguson ND, Davis AM, Slutsky AS, Stewart TE. Development of a clinical definition for acute
respiratory distress syndrome using the Delphi technique. J Crit Care. 2005;20(2):147-154.
148. Francis JJ, Duncan EM, Prior ME, et al. Selective decontamination of the digestive tract in
critically ill patients treated in intensive care units: a mixed-methods feasibility study (the
SuDDICU study). Health technology assessment. 2014;18(25):1-170.
149. Gagnon MP, Shaw N, Sicotte C, et al. Users' perspectives of barriers and facilitators to
implementing EHR in Canada: a study protocol. Implement Sci. 2009;4:20.
150. Jobin G, Gagnon MP, Candas B, Dube C, Ben Abdeljelil A, Grenier S. User's perspectives of
barriers and facilitators to implementing quality colonoscopy services in Canada: a study
protocol. Implement Sci. 2010;5:85.
151. Koekkoek B, van Meijel B, Schene A, Hutschemaekers G. A Delphi study of problems in providing
community care to patients with nonpsychotic chronic mental illness. Psychiatric Services.
2009;60(5):693-697.
152. Wilson A, Opolski M. Identifying barriers to implementing a cardiovascular computerised
decision support system (CDSS): a Delphi survey. Informatics in Primary Care. 2009;17(1):23-33.
153. Van De Ven AH, Delbecq AH. The effectiveness of nominal, delphi and interacting group decision
making processes. Academy of Management Journal. 1974;17(4).
154. Zwarenstein M, Bryant W. Interventions to promote collaboration between nurses and doctors.
Cochrane Database Syst Rev. 2000(2):CD000072.
155. Bussieres AE, Patey AM, Francis JJ, Sales AE, Grimshaw JM, Canada PPT. Identifying factors likely
to influence compliance with diagnostic imaging guideline recommendations for spine disorders
among chiropractors in North America: a focus group study using the Theoretical Domains
Framework. Implement. Sci. 2012;7:11.
133
156. Fleming A, Bradley C, Cullinan S, Byrne S. Antibiotic prescribing in long-term care facilities: a
qualitative, multidisciplinary investigation. Bmj Open. 2014;4(11):13.
157. French SD, McKenzie JE, O'Connor DA, et al. Evaluation of a Theory-Informed Implementation
Intervention for the Management of Acute Low Back Pain in General Medical Practice: The
IMPLEMENT Cluster Randomised Trial. Plos One. 2013;8(6):15.
158. Fuller C, Michie S, Savage J, et al. The Feedback Intervention Trial (FIT)-Improving Hand-Hygiene
Compliance in UK Healthcare Workers: A Stepped Wedge Cluster Randomised Controlled Trial.
Plos One. 2012;7(10):10.
159. Avery L, Sniehotta FF, Denton SJ, et al. Movement as Medicine for Type 2 Diabetes: protocol for
an open pilot study and external pilot clustered randomised controlled trial to assess
acceptability, feasibility and fidelity of a multifaceted behavioural intervention targeting physical
activity in primary care. Trials. 2014;15:18.
160. Campbell-Scherer DL, Asselin J, Osunlana AM, et al. Implementation and evaluation of the 5As
framework of obesity management in primary care: design of the 5As Team (5AsT) randomized
control trial. Implement. Sci. 2014;9:9.
161. Wolfenden L, Nathan N, Williams CM, et al. A randomised controlled trial of an intervention to
increase the implementation of a healthy canteen policy in Australian primary schools: study
protocol. Implement. Sci. 2014;9:8.
162. Angus DC, Carlet J. Surviving intensive care: a report from the 2002 Brussels Roundtable.
Intensive Care Med. 2003;29(3):368-377.
163. Aberegg SK, Richards DR, O'Brien JM. Delta inflation: a bias in the design of randomized
controlled trials in critical care medicine. Crit Care. 2010;14(2):R77.
164. Bernhardt J, Dewey H, Thrift A, Collier J, Donnan G. A very early rehabilitation trial for stroke
(AVERT): phase II safety and feasibility. Stroke. 2008;39(2):390-396.
134
165. Diserens K, Moreira T, Hirt L, et al. Early mobilization out of bed after ischaemic stroke reduces
severe complications but not cerebral blood flow: a randomized controlled pilot trial. Clin
Rehabil. 2012;26(5):451-459.
166. Langhorne P, Stott D, Knight A, Bernhardt J, Barer D, Watkins C. Very early rehabilitation or
intensive telemetry after stroke: a pilot randomised trial. Cerebrovasc Dis. 2010;29(4):352-360.
167. Sundseth A, Thommessen B, Ronning OM. Outcome after mobilization within 24 hours of acute
stroke: a randomized controlled trial. Stroke. 2012;43(9):2389-2394.
168. Pereira TV, Horwitz RI, Ioannidis JP. Empirical evaluation of very large treatment effects of
medical interventions. JAMA. 2012;308(16):1676-1684.
169. IntHout J, Ioannidis JP, Borm GF, Goeman JJ. Small studies are more heterogeneous than large
ones: a meta-meta-analysis. J Clin Epidemiol. 2015;68(8):860-869.
170. Kjaergard LL, Villumsen J, Gluud C. Reported methodologic quality and discrepancies between
large and small randomized trials in meta-analyses. Ann Intern Med. 2001;135(11):982-989.
171. Sterne JA, Gavaghan D, Egger M. Publication and related bias in meta-analysis: power of
statistical tests and prevalence in the literature. J Clin Epidemiol. 2000;53(11):1119-1129.
172. Zhang Z, Xu X, Ni H. Small studies may overestimate the effect sizes in critical care meta-
analyses: a meta-epidemiological study. Crit Care. 2013;17(1):R2.
173. Prasad V, Ioannidis JP. Evidence-based de-implementation for contradicted, unproven, and
aspiring healthcare practices. Implement Sci. 2014;9:1.
174. Munshi L, Gershengorn HB, Fan E, et al. Adjuvants to Mechanical Ventilation for Acute
Respiratory Failure: Adoption, De-adoption and Factors Associated with Selection. Ann Am
Thorac Soc. 2016.
175. Guyatt GH, Oxman AD, Vist GE, et al. GRADE: an emerging consensus on rating quality of
evidence and strength of recommendations. BMJ. 2008;336(7650):924-926.