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Transcript of Evidence Based Nursing (EBN) & Diagnostic Accuracy Rona F. Levin, PhD, RN (New York, USA) Margaret...
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Evidence Based Nursing (EBN)& Diagnostic Accuracy
Rona F. Levin, PhD, RN (New York, USA)Margaret Lunney, PhD, RN (New York, USA)
Barbara Krainovich Miller, EdD, RN (New York, USA)Diná Monteiro da Cruz, PhD, RN (Sao Paulo, Brazil)
Cibele de Mattos Pimenta, PhD, RN (Sao Paulo, Brazil)
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Objectives
• Explain accuracy of diagnosis as the foundation of EBN-M. Lunney
• Describe an evidenced-based model (PCD) for use by nurses-R. Levin
• Apply the PCD format to diagnose anxiety-B. K. Miller
• Apply the PCD format to teach EBN- D. M. da Cruz & C.M. Pimenta
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Foundation of Evidence-Based PX: Accurate Interpretation of Data
• Interpretations determine actions
• Additional data to be collected• Subsequent interpretations• Possible outcomes to consider• Choices of interventions
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Foundation of Evidence-Based PX: Accurate Interpretation of Data
• High potential for inaccuracies• Human beings are complex and diverse• We do not “know” other people
(Munhall, 1993)• Knowledge of nursing concepts varies • Critical thinking abilities vary
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Foundation of Evidence-Based PX: Accurate Interpretation of Data
• What is diagnostic accuracy?Accuracy is a rater’s judgment of the degree to which a diagnostic statement matches the cues in a patient situation (Lunney, 1990).
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Challenge of Achieving Accuracy:
Puzzle: What is the Diagnosis?
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Research Findings
• Studies: 1966 to present
• Conclusions: Interpretations vary widely
• Influencing factors:• Diagnostic Tasks
• Situational contexts
• Nurse Diagnosticians
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Diagnostic Tasks
• Factors studied:• Task complexity
• Amount of data
• Relevance of data
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Situational Contexts
• Factors studied:• Time constraints
• Role in healthcare system
• Factors still to be studied:• Policies
• Procedures
• Philosophy and theories
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Nurse Diagnosticians
• Factors studied:• Education
• Use of teaching aids
• Nursing experience
• Cognitive strategies
• Cognitive abilities
• Personality
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Summary of Research Findings: Positive Influences on Accuracy
• Education related to nursing diagnoses
• Knowledge of diagnostic process and concepts
• Teaching aids for diagnostic reasoning
• Variety of thinking processes
• Experience specific to diagnostic task
• Lesser amounts and complexity of data
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Conclusions from Knowledge Development
• Problem: Diagnostic Accuracy varies from high to low.
• Solution: Use an evidence-based practice approach to facilitate the formulation of accurate diagnoses.
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Evidence-Based Practice
Best Evidence
Clinician’s Experience
PatientPreference
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Solving the PuzzleIs it this? Or This? Or This?
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Evidence-Based Practice to Solve the Puzzle
• Evidence from Literature• Which diagnosis are indicated by the cues?
• What differentiates similar diagnoses?
• Which of the possible diagnoses is the best match?
• Clinician perspective
• Patient perspective
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EBM Model
• Asking answerable questions
• Finding the best evidence
• Appraising validity of evidence
• Integrating evidence with clinician expertise and patient preferences
• Evaluating one’s effectiveness in above steps
• Sackett, Straus, Richardson, Rosenberg, & Haynes (2000)
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Asking Answerable Diagnostic Questions in Nursing
• PCD format
• P = Patient population
• C = Comparison cue or cue cluster
• D = Differential diagnosis
• developed by Levin, Miller & Lunney (2004)
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Asking Answerable Diagnostic Questions in Nursing
• Example of PCD question:
• In adult critical care patients (population) who exhibit angry outbursts, complaints about treatments that interfere with sleep/rest, and irritable behavior (cue cluster) what are the possible nursing diagnoses to consider (differential diagnosis)?
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Asking Answerable Diagnostic Questions in Nursing
• Possible diagnoses to consider• sleep pattern disturbance
• ineffective coping
• hopelessness
• powerlessness
• fear and/or anxiety
• cognitive impairment
• other?
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Asking Answerable Diagnostic Questions in Nursing
• Based on evidence, what is the strength of the cues in relation to the possible diagnoses?
• Based on evidence, which of the possible diagnoses represents the best match with the cues?
• Does the patient validate the clinician’s interpretation?
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Finding the Evidence
• Knowledge of possible diagnoses
• Research evidence associated with specific diagnoses
• Knowledge of useful data bases
• Access to data bases and sources
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Appraising the Evidence
• Assess validity of the research-based evidence• Type of study
• survey of nurses?
• Observation of patients?
• Sample size and selection
• Applicability to your practice
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Integrating Evidence
• With clinician’s expertise• knowledge of diagnoses and diagnostic task
• specialty focus
• frequency of caring for patients’ with specific responses (cue clusters)
• knowledge of related interventions
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Integrating Evidence
• Patient’s Perspective• Uniqueness of individual
• Context of human response
• Values and preferences
• Validation of nurse’s interpretation
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Evaluating Effectiveness
• Am I looking for the research evidence about human responses?
• Am I considering the highly relevant diagnoses associated with observed cue clusters?
• Am I considering the individual patient and the specific context when applying research-based evidence?
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Evidence-Based Nursing Diagnosis: Anxiety
• NANDA Nursing Diagnoses: Definitions & Classification 2003-2004
• Refined based on research submitted to DRC
• 1973, 1982, 1998
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Refinement: Nursing Research Validation Studies
• Whitley (1994, 1992, 1989)• Levin, Krainovich-Miller et al. (1989)\• Krainovich (1988) • Fadden, Fehring & Kendel-Rossi (1987)• Lopez & Risey (1986) • Jones & Jakob (1984)• Jones & Jakob (1981)• Haag & Adamski (1978)• Graham & Conley (1971)
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NDx Normal Anxiety
• Nursing Research Clinical & Content Validation Studies
• Interdisciplinary Case Studies & Research Findings
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Differential Diagnoses
• Anxiety
• Fear
• Ineffective Coping
• Disturbed Thought Processes
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Diagnostic Reasoning Process
• Definition
• Defining Characteristics
• Related Factors
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P-Population:Pre-Op Pt’s
C-Cues: Presenting Objective &Subjective Data
D-Differential NDxs Definition Defining Characteristics Related Factors
Evidence-basedNDx: Pre-Op Anxiety
COMPARE
DERIVE
PCD
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Patient Perspective
• Critical to Diagnostic Accuracy
• Compare to Clinician Perspective
• Results: NDx statement that best fits the patient’s cues in context
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Interpreting Human Responsesis a Complex Task
Principles of EvidenceBased Practice
Inaccuracy
Accuracy
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Evidence-Based Nursing
.
PatientPreference
BestEvidence
Clinician’sexperience
• Asking Answerable Questions
• Finding the Best Evidence
• Appraising Validity of Evidence
• Integrating Evidence (clinician/patient)
• Evaluating Effectiveness Sackett et al (2000)
Applied to diagnosis, interventions (treatments), and outcomes
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Case Study
• “Cases are stories with a message. They are not
simply narratives for entertainment. They are stories
to educate.”
• “... the role of students and instructor vary as will the
case material itself.”
(Herreid CF, 2004)
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Case Study
“Case methods or studies provide a process of
participatory learning that facilitates active and
reflective learning and results in the development of
critical thinking and effective problem-solving skills.
This develops self-directed lifelong learners.”(Tomey AM,2003)
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Case Study
• A Patient in Respiratory Critical Care*A Patient in Respiratory Critical Care*
“Mrs. H, 70 years old, was admitted to a
respiratory medical unit because she
presented with increasing shortness of
breath over....” (Handout p.1)
* Perry, K. A patient in respiratory critical care. In: Lunney M. (2002).
Critical thinking & nursing diagnosis (pp. 74-75, 140-142).
Philadelphia: NANDA International.
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Case Study
• Objective:Participants will apply the PCD format to interpret patient data
• Directions:• Use groups of 5 to 7
• Assign leader & recorder
- Leader: Help group to stay focused; conduct discussions in a nurturing environment
- Recorder: Document relevant aspects of the discussion and report group conclusions
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Case Study
• Directions
• Read the text carefully (Handout p.1)
• Imagine you are the nurse of the patient
• Task- state NDxs that best explain the patient’s situation
• Apply the PCD format* to ask answerable questions to make accurate NDXs
*developed by Levin, Miller & Lunney (2004)
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Case Study
PCD formatPCD format**
• P = Patient population
• C = Comparison
• D = Differential diagnosis
*Developed by Levin, Miller & Lunney (2004)
Asking answerable questions
Searching evidence
Appraising evidence
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P-Population
• Asking Answerable Questions
• What are the most common nursing
diagnoses (NDxs) in the population that this
patient represents (critical care patients)?
• Searching the Evidence• CINAHL• Medline
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P-PopulationSearching the Evidence
Subject Search CINAHL MEDLINE
S1: Nursing Diagnosis 2537 1661
S2: Critical Care 2574 7252
S3: Intensive Care - 6371
S4: Critically Ill Patient / Critical Illness 2054 4825
S5: S1 and S2 4 64
S6: S1 and S3 - 15
S7: S1 and S4 / Limit: research 10 / 3 4 / NA
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P-PopulationSearching the Evidence
• CINAHL
Wang LT, Lee C. (2002)
Asencio JMM. (1997) [Spanish]
Roberts BL et al. (1996)
Logan J; Jenny J. (1991)
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P-PopulationSearching the Evidence
• MEDLINE
Gordon M, Hiltunen E. (1995)
Wieseke A et al. (1994)
Pasini DA et al. (1996) [Portuguese]
Alorda C et al. (1996) [Spanish]
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P-PopulationAppraising the Validity of Evidence
Question:
What are the most common nursing diagnoses
(NDxs) in the population that this patient
represents (critical care patients)?
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P-PopulationAppraising the Validity of Evidence
Prevalence studies (cross-sectional)
• Population & Sample
• Is the population similar to the population
of the case study patient?
• How was the sample drawn?
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P-PopulationAppraising the Validity of Evidence
Prevalence studies (cross-sectional)
• Data collection• Cover different domains?
• Who were the diagnosticians?
• How was accuracy of NDxs assured?
• Results• Valid and reliable?
• Applicable to this case study?
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C-Comparison
• Asking Answerable Questions
• Which data are cues to possible NDxs (human responses)?
• Which data are highly relevant to explain the human responses?
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C-Comparison
• Asking Answerable Questions• Which data are cues to possible NDxs (human
responses)?
- participation in care
- use of the call bell
- interest in providers’ actions
- sleep
- communication with daughter (who used to read Bible to her)
- What else?
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C-Comparison
• Asking Answerable Questions
• Which NDx (human response) best explains the current situation?
Relevant data
participation in care
use of the call bell
interest in providers’ actions
sleep
communication with daughter (who used to read Bible to her)
Possible Explanations
Fear?
Powerlessness?
Hopelessness?
Spiritual Distress?
What else?
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C-Comparison
• Asking Answerable Questions
• Based on evidence, what is the strength of the cues in relation to possible diagnoses?
• Searching Evidence• CINAHL• Medline• NANDA International
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Subject Search CINAHL MEDLINE
S1: Fear (* and Validation Studies) 1202 (*15) 4736 (*0)
S2: Hopelessness (* and Validation Studies) 175 (*0) (*0)
S3: Hope (*and Validation Studies) 870(*12) (*0)
S4: Powerlessness (* and Validation Studies) 251 (*3) (*0)
S5: Spiritual distress NANDA (*and Validation Studies)
25 (*7) (*0)
S6: Validation Studies 4340 (*0)
C-ComparisonSearching the Evidence
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C-ComparisonSearching the Evidence
• CINAHL Fear
Whitley GG. (1997)
PowerlessnessBufe GM & Abdul-Hamid M. (1995)
HopelessnessBeyea SC & Peters DD. (1987)
Spiritual DistressTwibell RS et al. (1996) Hensley LD. (1994)
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C-ComparisonSearching the Evidence
• Nursing Diagnosis Classification (NANDA International, Handout, p.2)
Fear
Powerlessness
Hopelessness
Spiritual Distress
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C-ComparisonAppraising Validity of the Evidence
Question:
Based on evidence, what is the strength of the
cues in relation to possible NDxs?
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C-ComparisonAppraising Validity of the Evidence
• Validation studies
• Design- Clinical? Control group (with x without the NDx)?
- Content validation by experts?
• Sample- Similar to the patient’s population?
- Sampling methods?
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C-ComparisonAppraising Validity of the Evidence
• Validation studies• Data collection
• InstrumentsWide search for defining characteristics?Based on operational definitions of the defining
characteristics?Validity and reliability?
• Results• Valid and reliable?
• Applicable to the patient?
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C-ComparisonAppraising Validity of the Evidence
• Concept analysis/development studies• Purpose
- Identification?- Development?- Clarification?
• Method- Consistent?
• Results- Valid and reliable?- Applicable to the patient?
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D-Differential Diagnosis
• Asking Answerable Questions
• Which of the possible NDxs represent the
best match with the cues?
• Searching Evidence• CINAHL• Medline• NANDA International’s Classification
Literature data basewill be the same
selected forCOMPARISON
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D-Differential DiagnosisAppraising Validity of the Evidence
• Validation studies• Design
- Compare nursing diagnoses?
- Clinical? Control group (with x without the ND)?
- Content validation by experts?
• Sample, Data collection, and Results- Apply the same criteria of Comparison
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Summary
PCD FormatLevin, Miller & Lunney (2004)
Population Comparison Differential Diagnosis
What are the most commom NDxs in this situation?
Based on evidence, what is the strength of the cues in relation to the possible diagnoses?
Which of the possible NDxs represent the best match with the cues?
AnswerableQuestion
SearchingEvidence
AppraisingEvidence
Epidemiologicalstudies
Criteria of validityapplied to epidemiological studies
Validation studies comparingnursing diagnosis
Validation studiesConcept analysis / developmentstudies
Criteria of validityapplied to nursing diagnosis validation studies
Criteria of validityapplied to nursing diagnosis validation studies
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Challenges
• Clinical research-based literature• Epidemiological studies
• Validation studies
• Criteria to appraise evidence
• Data base frameworks
• Measurement tools for specific NDxs
• Skills for searching evidence
• Accessibility of data bases
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Conclusion
The illiterate of the 21st century will not be
those who cannot read and write, but those
who cannot learn, unlearn and relearn.
Alvin Toffler