Primary therapist model for patients referred for rheumatoid arthritis rehabilitation: A cost‐effectiveness analysis
Bibliographic record
Abstract
OBJECTIVE: To estimate the incremental cost-effectiveness (ICE) of services from a primary therapist compared with traditional physical therapists and/or occupational therapists for managing rheumatoid arthritis (RA), from the societal perspective. METHODS: Patients with RA were randomly assigned to the primary therapist model (PTM) or traditional treatment model (TTM) for approximately 6 weeks of rehabilitation treatment. Health outcomes were expressed in terms of quality-adjusted life years (QALYs), measured with the EuroQol instrument at baseline, 6 weeks, and 6 months. Direct and indirect costs, including visits to health professionals, use of investigative tests, hospital visits, use of medications, purchases of adaptive aids, and productivity losses incurred by patients and their caregivers, were collected monthly. RESULTS: Of 144 consenting patients, 111 remained in the study after the baseline assessment: 63 PTM (87.3% women, mean age 54.2 years, disease duration 10.6 years) and 48 TTM (79.2% women, mean age 56.8 years, disease duration 13.2 years). From a societal perspective, PTM generated higher QALYs (mean +/- SD 0.068 +/- 0.22) and resulted in a higher mean cost ($6,848 Canadian, interquartile range [IQR] $1,984-$9,320) compared with TTM (mean +/- SD QALY -0.017 +/- 0.24; mean costs $6,266, IQR $1,938-$10,194) in 6 months, although differences were not statistically significant. The estimated ICE ratio was $13,700 per QALY gained (95% nonparametric confidence interval -$73,500, $230,000). CONCLUSION: The PTM has potential to be an alternative to traditional physical/occupational therapy, although it is premature to recommend widespread use of this model in other regions. Further research should focus on strategies to reduce costs of the model and assess the long-term economic consequences in managing RA and other rheumatologic conditions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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".