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Record W4385253027 · doi:10.2196/47834

Guideline-Adherent Physiotherapy for Patients With Hip and Knee Osteoarthritis in Germany: Protocol for an Implementation Research Project Using the Theoretical Domains Framework and the Behavior Change Wheel

2023· article· en· W4385253027 on OpenAlexvenueno aff
Carolin Bahns, Bettina Scheffler, Christian Kopkow

Bibliographic record

VenueJMIR Research Protocols · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsnot available
FundersBrandenburgische Technische Universität Cottbus-Senftenberg
KeywordsGuidelineMedicinePhysical therapyProtocol (science)OsteoarthritisIntervention mappingIntervention (counseling)Physical medicine and rehabilitationNursingAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Hip and knee osteoarthritis is common and leads to pain, stiffness, and disability. Clinical practice guidelines provide recommendations based on the best available evidence to assist health care professionals and patients in clinical decision-making. However, several studies have reported a gap between guideline recommendations and clinical practice in physiotherapy. Improved implementation strategies and the removal of existing barriers may facilitate the transfer of evidence into clinical practice and contribute to optimized quality of care. OBJECTIVE: This paper presents the protocol for a study that aims to describe the current physiotherapy practice in patients with hip and knee osteoarthritis and to investigate physiotherapists' adherence to clinical practice guidelines, to identify and specify barriers to and facilitators of guideline use and implementation, and to develop and pilot test a theory-based tailored implementation intervention aiming to increase guideline use in osteoarthritis care. METHODS: The research project is divided into 4 parts. During the first part, we will conduct a nationwide web-based survey among German physiotherapists to evaluate the current management of hip and knee osteoarthritis and to evaluate whether treatment aligns with guideline recommendations. Subsequently, semistructured interviews will be conducted to specify barriers to and facilitators of guideline use and implementation among physiotherapists (part 2). On the basis of these findings, in part 3, we will develop a theory-driven implementation intervention based on the Theoretical Domains Framework and the Behavior Change Wheel, which will be evaluated in a controlled pilot study in terms of effectiveness, feasibility, and acceptability (part 4). RESULTS: Data collection of the web-based survey among German physiotherapists (part 1) was completed in December 2021. The semistructured interviews (part 2) were conducted between January and September 2023. Recruitment of physiotherapy practices to participate in the development of the implementation intervention is expected to start in January 2024. CONCLUSIONS: This research project aims to develop a theory-driven implementation intervention to facilitate the transfer of evidence from hip and knee osteoarthritis guidelines in physiotherapy practice. We hypothesize that successful implementation will lead to increased guideline adherence in physiotherapists, which in turn will improve the quality of care. The results from our project will provide valuable knowledge concerning the development process and effectiveness of tailored implementation interventions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/47834.

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)0.075
metaresearch head score (Gemma)0.050
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.075
Threshold uncertainty score0.396

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0750.050
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.005
Bibliometrics0.0030.003
Science and technology studies0.0050.003
Scholarly communication0.0030.003
Open science0.0030.005
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0410.008

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 head0.797
GPT teacher head0.799
Teacher spread0.002 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

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

Citations7
Published2023
Admission routes1
Has abstractyes

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