Limited evidence exists on determinants of physiotherapists' adherence to high value interventions in nonspecific low back pain management: A scoping review
Bibliographic record
Abstract
BACKGROUND: Examining the emerging body of evidence investigating what drives physiotherapist's clinical decisions in the management of low back pain can guide future research into identifying barriers and facilitators of their adherence to evidence recommended interventions. OBJECTIVE: To establish the body of evidence regarding factors that improve or hinder physiotherapists' adherence to high-value interventions on the management of non-specific low back pain. DESIGN: Scoping review. METHODS: We conducted a Scoping review by searching MEDLINE, CINAHL, and SPORTDiscus databases on 13 February 2021. Two reviewers independently screened the retrieved literature and selected articles for inclusion. We included quantitative research that investigated an association between physiotherapists' personal characteristics or setting related characteristics with their clinical management of patients with non-specific low back pain. RESULTS: Twelve studies reported in 13 publications were included. The majority of the studies were conducted in high-income countries including, the United States, Canada and UK. Twenty-six factors were investigated as potentially influencing physiotherapists' adherence to high value interventions in low back pain management. The most commonly examined physiotherapists' attributes were educational qualification that is postgraduate or certification course (58%, N = 7 studies), years of experience (41%, N = 5 studies), and beliefs and attitude about low back pain (41%, N = 5 studies). Work setting (N = 4) and workload (N = 3) were frequently investigated setting related factors. CONCLUSION: Currently, there is limited evidence available to understand determinants controlling practice behaviours of physiotherapists' management of nonspecific low back pain. Future researches conceptualized within contemporary theories of clinician behaviour change and models of knowledge translation are needed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".