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Record W7053134364

Therapist Perception Of The Clarity And Implementability Of Relevant Recommendations From American Academy Of Orthopedic Surgeon’s Distal Radius Fracture Clinical Practice Guidelines

2021· article· en· W7053134364 on OpenAlexafffundabout

Bibliographic record

VenueScholarship@Western (Western University) · 2021
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsWestern University
FundersCanadian Institutes of Health ResearchMcMaster University
KeywordsCLARITYClinical PracticePerceptionDistal radius fractureGuidelinePsychological interventionHealth careCritical appraisalRehabilitation
DOInot available

Abstract

fetched live from OpenAlex

Fractures of the distal radius are common and can cause substantial either transient or permanent impairment and disability.\nClinical practice guidelines (CPGs) are systematically developed statements or recommendations based on the best available evidence and aimed at assisting health care practitioners in clinical decision-making. Many professional organizations have developed practice guidelines for common clinical conditions. The overall objective of this thesis is to evaluate the therapist's perception of the clarity and implementability of rehabilitation relevant recommendations from The American Academy of Orthopaedic Surgeons (AAOS) CPG for distal radius fractures (DRF) and to identify the quality of CPG related to DRF. To address my study objective, first, I categorized the AAOS DRF CPG using the International Classification of Functioning Disability and Health (ICF) and International Classification of Diseases ICD-10 using linking procedures and compare the content codes of the CPG with the ICF hand core sets as the reference standard. Then I conducted a cognitive interview study to understand the therapist's perceptions of the clarity and implementability of the recommendations.\nTo further understand the implementability of the AAOS DRF CPG, I conducted a cross-sectional survey on the implementability of the AAOS DRF guidelines using the guideline implementability appraisal tool (GLIA). And we conducted a systematic literature review to identify and appraise CPGs relevant to the management of DRF s using the AGREE II tool.\nThe results of the thesis indicate that the AAOS DRF CPG focuses on surgical interventions and has minimal linkage to the constructs of the CF constructs (activity or participation) and the ICF Hand Core Set. In my qualitative study, I found that eight of ten recommendations sampled from the AAOS DRF CPG were considered vague and unimplementable by therapists in their clinical practice, due to the lack of clarity and information on what to implement, how to implement, and to measure the adherence and outcomes of the recommendation. In the systematic review I found that for the selected CPGs developed by professional organizations in the UK, Canada, USA, Denmark, and Norway, the AGREE score for the scope and purpose domain ranged from 61% to 94% and the stakeholder involvement domain ranged from 13% to 97%. The rigor of the development domain score ranged from 38% to 95%. and for the clarity of the presentation domain score ranged from 63% to 83%. Scores were lowest on the domain of applicability and ranged from 18% to 60% and the score for the editorial independence domain ranged from 54% to 79%\nThis work implicates that CPG that focus on rehabilitation after DRF are needed and improving the implementability of the CPG recommendations by making them more specific and actionable while providing resources would assist with the implementation. Therapists need to be aware and understand variability existing in quality, the rigor of development, and the applicability of these guidelines. The future guideline should consider implementation during development including ready access to the details about the level recommended in intervention reporting guidelines.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.065
metaresearch head score (Gemma)0.250
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.935
Threshold uncertainty score0.341

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0650.250
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.158
GPT teacher head0.452
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
DomainEvaluation
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

Citations0
Published2021
Admission routes3
Has abstractyes

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