General practitioners experience multi-level barriers to implementing recommended care for hip and knee osteoarthritis: a qualitative study
Bibliographic record
Abstract
BACKGROUND: General practitioners (GPs) play a key role in managing osteoarthritis, including referring to appropriate management services. Physiotherapist-led osteoarthritis management programs and advanced practice triage services are effective, but GPs views on them are largely unknown. This study aimed to explore general practitioner perspectives on: (1) managing patients with hip and knee osteoarthritis, and (2) physiotherapy-led osteoarthritis care and referral pathways. METHODS: Interview topic guides were developed based on the theoretical domains framework. Twenty-five semi-structured interviews with GPs were conducted. All data were coded independently by at least two researchers and analysed inductively using thematic analysis, with barrier themes mapped to the socioecological model. RESULTS: Two interrelated themes were identified: (i) GPs had good general knowledge of recommended osteoarthritis care, but (ii) they faced multi-level challenges facilitating or directly providing evidence-based care. Nearly all GPs identified exercise as first-line care and surgery as a last resort. Most were aware imaging was not required to diagnose osteoarthritis, yet reported often referring for imaging. Many GPs expressed challenges facilitating patient engagement in physiotherapy due to patient, environmental/social and system level barriers. Key barriers included: perceived patient expectations and lack of motivation to attend physiotherapy, a lack of knowledge of available physiotherapy services, a lack of affordable physiotherapy services, and lengthy waiting times for public orthopaedic appointments. Having private health insurance was perceived as an enabler. CONCLUSIONS: Despite having good knowledge of guideline-recommended care, GPs in our study experienced multi-level barriers to implementing this care in practice. Public health information and strategies to address patient's beliefs and lack of motivation to exercise may help reduce barriers to engaging in appropriate care. Urgent health system funding reforms are needed to allow GPs to appropriately manage patients with hip and knee osteoarthritis.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".