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Record W2972221446 · doi:10.1080/01942638.2019.1660447

Why Do Clinical Practice Guidelines Get Stuck during Implementation and What Can Be Done: A Case Study in Pediatric Rehabilitation

2019· article· en· W2972221446 on OpenAlexaff
Gayle Restall, Francis Diaz, Kristy Wittmeier

Bibliographic record

VenuePhysical & Occupational Therapy In Pediatrics · 2019
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsWinnipeg Regional Health AuthorityUniversity of Manitoba
Fundersnot available
KeywordsRehabilitationConsistency (knowledge bases)Context (archaeology)Occupational therapyRelevance (law)GuidelineKnowledge translationQualitative researchIntervention (counseling)MedicineFocus groupPsychologyNursingMedical educationApplied psychologyPhysical therapyKnowledge managementComputer science

Abstract

fetched live from OpenAlex

Aims: The purpose of this study was to obtain the perspectives of occupational and physical therapists working in pediatric rehabilitation about the factors that influence implementation of clinical practice guidelines (CPG) using the case of constraint induced movement therapy (CIMT). We aimed to identify factors that hinder implementation of CPGs and strategies for overcoming barriers when widespread implementation is stalled.Methods: Qualitative case study methodology was bounded within the parameters of CIMT implementation in pediatric rehabilitation in one jurisdiction. Twenty-one occupational and physical therapists participated in one of three focus groups. Data were analyzed using an inductive qualitative approach.Results: Participants viewed CPGs as useful, and emphasized the importance of consistency between guidelines and relevance to practice context. Therapists considered the “art and science” in clinical decision-making. Barriers and facilitators to CPG implementation were identified at the client, clinician, intervention location and systemic level. Potential solutions to help “unstick” guideline implementation were consistent with theories of collective knowledge exchange and mindlines.Conclusion: The presence of CPGs does not ensure evidence uptake; understanding of local barriers is required. This case study highlights the value of a collective knowledge exchange approach and attention to the social structures of knowledge development and evidence use.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.180
GPT teacher head0.587
Teacher spread0.407 · 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

Citations26
Published2019
Admission routes1
Has abstractyes

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