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Record W2277632619 · doi:10.5014/ajot.2016.017061

Validation of the Evidence-Based Practice Confidence (EPIC) Scale With Occupational Therapists

2016· article· en· W2277632619 on OpenAlexaff
Julie Helene Clyde, Dina Brooks, Jill I. Cameron, Nancy M. Salbach

Bibliographic record

VenueAmerican Journal of Occupational Therapy · 2016
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConfidence intervalEPICConstruct validityReliability (semiconductor)Scale (ratio)MedicineConcurrent validityPsychologyPhysical therapyClinical psychologyPsychometricsInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: This study evaluated the reliability, minimal detectable change (MDC), and construct validity of the Evidence-Based Practice Confidence (EPIC) scale among occupational therapists. METHOD: In a cross-sectional mail survey, 126 occupational therapists completed the EPIC scale and a questionnaire to provide data for validity testing. Seventy-nine occupational therapists (63%) completed a second EPIC scale a median of 24 days later. RESULTS: Test-retest reliability was .92 (95% confidence interval [.88, .95]). The MDC values at the 90% and 95% confidence levels were 3.9 percentage points and 4.6 percentage points, respectively. The total EPIC score was significantly associated with holding a master's or doctoral degree; education in evidence-based practice (EBP); higher EBP knowledge and skill; and frequently searching, reading, and using research findings in clinical decision making (p < .05). CONCLUSION: The EPIC scale has excellent reliability and acceptable construct validity for use in evaluating EBP self-efficacy among occupational therapists.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.192
GPT teacher head0.499
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations34
Published2016
Admission routes1
Has abstractyes

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