Handoffs in the ICUcme.baptisthealth.net/sotssymposium/documents/...Introduction Communication...
Transcript of Handoffs in the ICUcme.baptisthealth.net/sotssymposium/documents/...Introduction Communication...
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Handoffs in the ICU: Opportunities for Better Care
Jose L. Pascual MD, PhD, FRCS(C), FACS, FCCM
Associate Professor of Surgery
Perelman School of Medicine, University of Pennsylvania
Trauma, Emergency Surgery, Surgical and Neuro Critical Care
OR‐to‐ICU handoffs can be problematic
Potential problems• Patient movement
• Technology movement
• Multiple teams
• Different disciplines
• Different priorities
• Time pressure
Consequences• Physical injuries
• Physiologic deterioration
• Medication errors
• Missed information
• Poor team functioning
Nagpal et al. Failures in communication and information transfer across the surgical care pathway, BMJ Qual Saf (2012)
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Standardizing OR‐to‐ICU handoffs works
• Information exchange improves
• Provider satisfaction improves
• Handoff duration is unchanged or shorter
• Medical errors may decrease
• Goals (e.g. extubation) may be reached earlier
Craig et al. Strengthening handover communication in pediatric cardiac intensive care. Paediatr Anaesth 2012; 22(4):393-9
Common features of published OR to ICU
handoff protocols
Lane‐Fall et al. Handoffs and transitions in critical care (HATRICC), BMC Surgery (2014)
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10
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60
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018
Number of pap
ers
Year
Published papers on OR‐to‐ICU handoffs (Scopus)
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What OR to ICU handoffs should look like
SurgeonICU provider
ICU nurse (1°)
Anesthetist
Respiratory therapist
ICU nurses (2°)
BackgroundMedical errors extremely common
Communication errors 2 out of 3 sentinel events, most serious events
Omission and incorrect transfer of critical information
More handoffs due to shorter resident workhours, APPs
As of 2010 ACGME: Compulsory to provide curriculum
But curricula are home‐grown: few critically evaluated
Landrigan CP et al, NEJM 2010Joint Commission, 2013
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BackgroundPrevious Single Center Study developed I‐PASS (iterative) @ Boston Children'sIllness severityPatient summary
Action listSituational awareness & contingency planSynthesis by receiver
Multicenter Trial to broadly test curriculum effect on medical errors – interns + seniors
Methods9 pediatric residency programs (USA & Canada)
6 months pre‐intervention
6 months intervention
6 months post‐intervention (matched –time of year)
Data collectedMedical errors Quality of oral and written handoffs Demographics and medical complexity of unit patients All residents – analysis only on consented residents Cookies gift cards
MethodsNo sites had preexisting standardized handoff processesNo ICUsCurriculum (I‐PASS Bundle) 2hr didactic communication session (AHRQ/DOD) TeamSTEPPS, Team Strategies, Tools to Enhance Performance and PS I‐PASS handoff techniques
1hr role playing & simulation sessionOnline module Faculty development Toolkit for feedback to residentsMarketing campaign: posters, logos, advertising
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MethodsWritten handoff: Implemented into EMR (7/9 – 2/9 MS word)
Medical errors Incident reportingNurse review of EMR 5days/wk
Solicited reports from nurses and post call residents (surveys)
Two blinded MDs classified events Adverse event (harm due to medical care)
Near miss/error (little potential for harm)
Exclusion (neither medical error nor adverse event)
Handoff quality, resident workflow & satisfactionKey elements analyzed (rates of inclusion)
Written handoff list (every morning and evening) ‐random sample analyzed (432)
Audiotaped oral handoff report (AM and PM) Random sample (207)
Research staff followed residents for 8‐12hrs
12 Major & 114 minor activities
End of rotation survey
Results10 740 patient admissions
5516 pre, 5224 post
Errors, LOS, complexity, demographics
876 residents consented (94.5%)
Survey responses pre 93.1%, post 93.3%
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Medical errors
↓ 23%↓ 30%↓ 21%
Non preventable adverse events: no difference
Written handoff quality
Oral handoff quality
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Resident Workflow patterns & satisfaction8128 time‐motion hours collected (pre and post)
No Δ patient/family contact time (11.8 vs 12.5%)
No Δ time @computer creating/editing list (1.6 vs 1.3%)
No Δ time @computer overall (16.2 vs 16.5%)
No Δ time editing written document (0.5 vs 0.6%)
Resident reporting handoff training (60.3 vs 98.9%, p<0.001)
Resident assessment of quality of their Handoff (27.8 vs 72.2%, p<0.001)
Discussion I‐PASS Improved process written and oral handoffs (9/9 sites)
Reduction of med errors (6/9 sites)
Without increase in resident time spent on handoff
Without decrease in time with patients
QuestionsWhy 3/9 sites did not have reduction of errors?
Data collectors clearly not blinded
How was baseline handoff education 60%?
No discussion of non‐resident providers (NP, PA)
What about off hours and weekends?
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Handoffs in the Intensive Care Unit: Worse During Off Hours?
ME Barry, BR Hochman, MB Lane-Fall, SR Allen, DN Holena, L Kaplan, JL Pascual
Division of Traumatology, Surgical Critical Care, & Emergency Surgery
Perelman School of Medicine of the University of Pennsylvania
Introduction
Communication failures common and problematic• Adverse events• Malpractice events• Complexity of OR-to-ICU handoffs
Handoffs and “weekend effect” Hypotheses: (1) OR-to-ICU bedside handoff quality diminishes
on nights and weekends (2) bedside handoff practices inconsistent between
high and moderate volume ICUs The Joint Commission. Sentinel Event Data. Available at: http://www.jointcommission.org/assets/1/18/Root_Cuses_by_Event_Type_2004‐2Q2013.pdf [accessed 23 January 2014].Carr et al. Weekend and Night Outcomes in a Statewide Trauma System. Arch Surg.
( )
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Methods
• Bedside handoffs assessed in a high volume (210 admits/month) and a moderate volume (125 admits/month) surgical ICU
• Handoff assessment metric:- Duration and number of people in room- Number of content items omitted- Quality of teamwork, transmitter delivery, professionalism- Number of receiver passive and active listening skills- Receiver physical exam
• T-tests and chi square analysis:- Weekday (0700-1700, M-F) vs. night/weekend within ICUs- High vs. moderate volume ICU
High Volume ICU Weekdays vs. Nights/Weekends
**p<0.01
Results
High Volume vs. Moderate Volume ICU
*p<0.05, **p<0.01
Results
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Conclusions
1) Bedside handoff practices on nights and weekends are not worse
2) Bedside handoff practices are better in a high volume ICU
3) Specific handoff practices merit evaluation and training implementation to improve ICU processes of care
ICU OR‐to‐ICU Handoffs on Weekdays vs. Nights/Weekends
**
Hochman et al, Am J Med Quality, 2015
OR‐to‐ICU Handoffs in ICU1 (↑Vol.) vs. ICU2 (↓Vol)
Hochman et al, Am J Med Quality, 2015
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OR-to-ICU Handoffs Captured on Video: Are Transitions at Night More Dangerous?
M Barry, B Hochman, M Lane-Fall, D Zappile, D Holena, S Allen, N Martin, P Reilly, J Pascual
Division of Traumatology, Surgical Critical Care & Emergency Surgery
Perelman School of Medicine of the University of Pennsylvania
Introduction
Communication failures• Adverse events• Malpractice events• Complexity of OR-to-ICU handoffs
ACGME handoff requirement
Handoffs and “weekend effect”
The Joint Commission. Sentinel Event Data. [accessed 23 January 2015].Carr et al. Weekend and Night Outcomes in a Statewide Trauma System. Arch Surg. 2011.Nasca et al. The New Recommendations on Duty Hours from the ACGME Task Force N Engl J Med 2010
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Hypothesis
OR-to-ICU bedside handoff quality diminishes on nights and weekends
compared to that of weekdays
Methods
Video-recorded 32 OR-to-surgical ICU bedside handoffs
Videos evaluated offline:• Number of people in room, time providers spent in room• Timing/length of reports, who delivered to whom• Presence of patient exam
• Reports: delivery skills, passive/active listening skills, engagement• Teamwork parameters• Interruptions
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Weekday (0700-1700, M-F) vs. night/weekend
Handoff characteristics (32 handoffs)• T-tests, Chi Square analysis
Handoff quality measures (42 handoff assessments)• Scores converted to value relative to observer’s average• T-tests
Results
Basic Handoff Characteristics
WeekdaysNights & Weekends
P-value
Number of people in room 6.8 6.8 0.92
Total time in room
Anesthesia 9m 21s 8m 23s 0.45
Surgery 3m 26s 4m 15s 0.43
Receiving ICU Provider 8m 38s 8m 54s 0.99
Time to first handoff report 1m 11s 1m 15s 0.83
Time to room empty of providers
12m 14s 11m 53s 0.60
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WeekdaysNights & Weekends
P-value
Handoff Report Length
Anesthesia 3m 46s 2m 58s 0.50
Surgery 1m 34s 2m 8s 0.25
Total 4m 42s 5m 20s 0.52
Handoff Report Type
Anesthesia to ICU Provider 56% 56%
Anesthesia to RN 81% 81%
Surgeon to ICU Provider 50% 53% 0.47
Surgeon to RN 50% 75% 0.14
Physical Examination
ICU Provider 50% 44% 0.83
RN 63% 56% 0.60
Either Provider or RN 75% 81% 0.67
Basic Handoff Characteristics
WeekdaysNights & Weekends
P-value
Teamwork
Task Prioritization 0.72 1.14 0.47
Clear Role Identification 0.97 1.02 0.76
Attention to Reports 0.79 1.18 0.21
Coordination of Reports 0.81 1.14 0.058
Transmitter Collaboration 0 1.74 0.025
Sum 0.80 1.15 0.03
Engagement
Anesthesia 1 1
Surgery 0.69 1.26 0.017
ICU Provider 0.87 1.12 0.10
RN 0.84 1.14 0.28
Quality Outcome Measures
WeekdaysNights & Weekends
P-value
Report Delivery
Anesthesia 1.05 0.96 0.73
Surgery 0.5 1.5 < 0.001
All 0.79 1.2 0.029
Listening Skills
Eye Contact 1.07 0.94 0.062
Affirmatory Statements 0.99 1.01 0.88
Head Nodding 0.94 1.04 0.35
Note Taking 1.01 0.99 0.91
Questions / Interactive Comments 1.02 0.99 0.79
Interruptions 1.03 0.98 0.89
Quality Outcome Measures
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Discussion
Bedside handoff practices on nights and weekends are potentially better Video recording may be a useful tool
for monitoring handoff quality Specific handoff practices merit
evaluation and training implementation to improve ICU processes of care
Primary question:
Does handoff standardization improve OR-to-ICU handoff communication in a mixed surgical population?
Secondary question:
What factors influence the successful implementation of a standardized OR to ICU handoff process?
Research questions
HATRICC measures
Data type
Measure type
Effectiveness Implementation
Qualitative • Handoff quality• Teamwork quality
• Acceptability• Appropriateness• Fidelity• Sustainability
Quantitative
• Information omissions• Handoff accuracy• Handoff duration• Team members present• Teamwork quality• Professionalism• Diagnostic test utilization• ICU length of stay• ICU mortality• In-hospital mortality
• Acceptability• Cost• Fidelity
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Pre-intervention observations
94 “handoffs” observed in total 62 single‐observer
16 dual‐observer
Does not count practice observations
Final sample after de‐duplication: 68
64 handoffs observed
4 “missing in action”
Four observers, 502 hours
Exploration:“Was that a handoff?”
Interviews and focus groups
Data type Team
Clinician type InterviewFocus group Survey OR ICU
HousestaffAnesthesia (n=12) X X X X XSurgery* (n=22) X X X X X
CRNAs (n=16) X X XNPs, PAs (n=6) X X XICU nurses (n=18) X X XAttending physicians
Anesthesia (n=4) X X X XSurgery (n=5) X* X X X
*general surgery, orthopedics, otorhinolaryngology, plastic surgery, thoracic surgery, trauma, and urology
Lane-Fall et al. Joint Commission Journal 2018, 44(9): 514-525
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Themes from interviews and focus groups Frequently reported barriers: Low prioritization Time constraints
Handoff quality affected by: Professionalism Teamwork
Frustrating aspects of handoff: Inconsistent provider presence Insufficient resident knowledge of patient/case
Lane-Fall et al. Joint Commission Journal 2018, 44(9): 514-525
Why don’t post‐op handoffs work? An advanced practitioner’s perspective “So there are some people that just bring the patient in and basically run away, like one of my colleagues. He does not give a good sign‐out. He does not tell you anything unless you specifically ask a question of him. He will not tell you if the aorta fell apart and you had to reconstruct.”
Why might someone run away?
“I think that they are not comfortable in the ICU, and if something happened, they don't want to be responsible for it, so they leave the patient and they go, because they don't want to be caught up in this.
I think that sometimes it's because unfortunately you have another case or you're getting called into another room.
I think sometimes some people are hungry and they just kind of toss and run.
And also, there's one person that doesn't like one of the physicians that takes care of the hearts, Dr. X, so if he sees him, he doesn't stay long in the unit. They don't get along.”
Simulation helped build the new handoff process
Changes after simulation: added physical exam | clarified necessary participants | changed template
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A new handoff process developed with clinician input
Lane-Fall et al. Joint Commission Journal, 2018.
Handoff protocol improved information exchange and team outcomes
• Information omissions decreased 21%
• Providers more consistently at bedside
• Handoff duration increased (3.5 min 8 min)
• No change in unit-level patient outcomes
Lane-Fall MB et al, in press, Annals of Surgery
How to read this heat map:
• Green = favorable • Yellow = intermediate• Red = unfavorable
One row = one observation
Observations are sorted by number of information omissions, then by teamwork and professionalism ratings
Lane-Fall MB et al, in press, Annals of Surgery
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Lane-Fall MB et al, in press, Annals of Surgery
Lane-Fall MB et al, in press, Annals of Surgery
Lane-Fall MB et al, in press, Annals of Surgery
Fidelity (adherence)to HATRICC protocol
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“I think, ultimately, we have to be clinicians and do what we think is best for the patient and not follow a checklist just because that’s present.”
‐ Anesthesia resident
Mixing methods gives additional insight
qualitativequantitative
Lane‐Fall et al, unpublished data
“All disciplines equate that term with handoff - it’s a great catch word that stuck. It’s the norm to say in the patient’s room ‘Ok let’s HATRICC.’ Or ‘Is everyone ready for HATRICC?’ It’s very interesting because you never hear the phrase ‘Ok, are we ready for handoff?’”
- ICU nurse manager
We assessed acceptability in multiple ways
said the new process was acceptable
always or usually used the new process
said the new process made patient care betteror much better
125/160(78.1%)
136/152 (89.5%)
107/156(68.7%)
Acceptability ratings (surveys):
We assessed acceptability in multiple ways
Interview-based assessments:“All disciplines equate that term with handoff - it’s a great catch word that stuck.
It’s the norm to say in the patient’s room ‘Ok let’s HATRICC.’ Or ‘Is everyone ready for HATRICC?’ It’s very interesting because you never hear the phrase ‘Ok, are we ready for handoff?’”
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Lane‐Fall M, Pascual J et al, Ann Surg, (accepted for publication)
Education & Choreography in Multidisciplinary Handoffs (OR‐to‐ICU) HATRICC
Lane‐Fall M, Pascual J et al Ann Surg
Lane‐Fall M, Pascual J et al Ann Surg
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Attribute Pre‐intervention (n=64) Post‐intervention (n=97) P‐value
Teamwork, number (%) of handoffs with feature
Surgeon present 49/64 (76.6%) 95/97 (97.9%) <0.001
Anesthetist present 56/64 (87.5%) 97/97 (100%) <0.001
Nurse present 46/64 (71.9%) 94/97 (96.9%) <0.001
ICU provider* present 47/64 (73.4%) 86/97 (88.7%) 0.019
All 4 representatives** present 25/64 (39.1%) 81/97 (83.5%) <0.001
Quality of information transfer***
Superior
Satisfactory
Unsatisfactory
11/62 (17.7%)
36/62 (58.1%)
15/62 (24.2%)
22/97 (22.7%)
66/97 (68.0%)
9/97 (9.3%)
0.041
Teamwork***
Superior
Satisfactory
Unsatisfactory
10/64 (15.6%)
25/64 (39.1%)
29/64 (45.3%)
26/97 (26.8%)
53/97 (54.6%)
18/97 (18.6%)
0.001
Professionalism***
Superior
Satisfactory
Unsatisfactory
37/64 (57.8%)
11/64 (17.2%)
16/64 (25.0%)
30/97 (30.9%)
60/97 (61.9%)
7/97 (7.2%)
<0.001
Handoff duration (minutes) 3.3 (n=53) 8.0 (n=89) <0.001
Clinicians in room during handoff,
maximum number
11.8 9.7 0.137
Patient transfers with no observable
in person handoff
4/68 (5.9%) 0/97 (0.0%) 0.027Lane‐Fall M, Pascual J et al Ann Surg)
Handoffs PearlsEngage the multidisciplinary and multiprofessional teams
Teach a “best practice way”Choreograph the bedside interaction/transition of careThis will definitely improve the process
This will likely improve provider satisfaction
Improvement in patient safety Reducing medical errors Reducing near misses Leave provider time with family unaltered
Assess your institution’s quality of handoffsBeware of modifiers (volume, off‐hours)