Arthritis Extended-Role Practitioners: Impact on Community Practice (An Exploratory Study)
Bibliographic record
Abstract
PURPOSE: We compared practice of extended role practitioners and experienced therapists without extended practice training to determine differences in assessment and management of clients with inflammatory arthritis, in preparation for a randomized controlled trial. METHODS: Retrospective review of randomly selected charts of extended-role trained occupational therapists or physiotherapists and from experienced therapists matched on therapist discipline, geographical location, and time of referral. Three trained reviewers used standardized forms to extract data independently. RESULTS: We reviewed 58 charts of adult clients with inflammatory arthritis. Compared with experienced therapists, extended-role practitioners were more likely to receive referrals specifically for assessments (52% vs. 14%); to treat clients with undifferentiated arthritis (48% vs. 10%); to document comorbidities (90% vs. 66%); to advocate on behalf of the client with the client's family, physician, or specialist (52% vs. 21%); to recommend or provide exercise or physical activity (86% vs. 62%); to educate clients about pain management (41% vs. 28%), energy conservation (24% vs. 14%), and posture (21% vs. 7%); to recommend splints (41% vs. 31%); and to refer for or recommend radiologic or laboratory assessments (14% vs. 3%). Experienced therapists were more likely to provide education about joint protection (41% vs. 31%), community resources (31% vs. 7%), and assistive devices (45% vs. 21%). CONCLUSIONS: We identified possible differences in practice between extended-role practitioners and experienced therapists without training for extended practice. Capturing these details in future studies evaluating the efficacy of extended role practitioner interventions will be important.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".