Effectiveness of the primary therapist model for rheumatoid arthritis rehabilitation: A randomized controlled trial
Bibliographic record
Abstract
OBJECTIVE: To compare the primary therapist model (PTM), provided by a single rheumatology-trained primary therapist, with the traditional treatment model (TTM), provided by a physical therapy (PT) and/or occupational therapy (OT) generalist, for treating patients with rheumatoid arthritis (RA). METHODS: Eligible patients were adults requiring rehabilitation treatment who had not received PT/OT in the past 2 years. Participants were randomized to the PTM or TTM group. The primary outcome was defined as the proportion of clinical responders who experienced a > or =20% improvement in 2 of the following measures from baseline to 6 months: Health Assessment Questionnaire, pain visual analog scale, and Arthritis Community Research and Evaluation Unit RA Knowledge Questionnaire. RESULTS: Of 144 consenting patients, 33 (10 PTM participants, 23 TTM participants) dropped out without completing any followup assessment, leaving 111 for analysis (63 PTM participants, 48 TTM participants). The majority were women (PTM 87.3%, TTM 79.2%), with a mean age of 54.2 years and 56.8 years for the PTM and TTM groups, respectively. Average disease duration was 10.6 years and 13.2 years for each group, respectively. At 6 months, 44.4% of patients in the PTM group were clinical responders versus 18.8% in the TTM group (chi(2) = 8.09, P = 0.004). CONCLUSION: Compared with the TTM, the PTM was associated with better outcomes in patients with RA. The results, however, should be interpreted with caution due to the high dropout rate in the TTM group.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".