Barriers, facilitators, preferences and expectations of joint protection programmes for patients with hand arthritis: a cross-sectional survey
Bibliographic record
Abstract
OBJECTIVES: The objective of this survey was to investigate the barriers, facilitators, expectations and patient preferences regarding joint protection (JP) programmes in people with hand arthritis. DESIGN: Cross-sectional survey. SETTING: Tertiary clinic. PARTICIPANTS: Patients with hand arthritis: osteoarthritis, rheumatoid arthritis, psoriatic arthritis and other forms of arthritis. PRIMARY AND SECONDARY OUTCOME MEASURES: This study used a survey among people with hand arthritis. Descriptive statistics and percentages were reported for all the data about the barriers, facilitators and preferences around JP. RESULTS: A total of 192 patients consented to participate. Most of the patients (82%) were unaware of JP. Factors that may act as barriers to participation and were regarded as 'a very big concern' were: cost of the programme (44%), time of offering the programme (39%), work commitments (36%) and having a centre/clinic close to the house (28%). Factors that may act as facilitators and rated as 'extremely helpful' were: research that shows that JP works (26%) and having the centre/clinic close to the house (25%). An online format for JP was the most preferred option (54%). Half (46%) preferred a timeframe of 1 hour, three times per week and 44% preferred a 2-hour programme, for three times per week. CONCLUSIONS: Awareness of the potential benefits of JP, and prior experience with JP programme were very low. Common potentially modifiable patient-reported barriers to participate in future JP interventions, included: cost, work commitments, distance from home to clinic and times that the intervention were provided. These barriers might be addressed with free and accessible forms of delivery of JP, which may lead to better uptake and participation in JP programmes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".