Bibliographic record
Abstract
OBJECTIVE: To identify the determinants of medication non-adherence in women with fibromyalgia (FM). METHODS: Participants included 10 rheumatologists and 127 women recruited from tertiary care hospitals and the community. Demographic, clinical and psychosocial characteristics and patient-physician discordance were assessed at the baseline visit. Non-adherence was assessed 2 weeks later. Multivariable generalized estimating equations were used to identify determinants of non-adherence to medication. RESULTS: The average age of the women was 50.4 (s.d. 10.5) yr and the mean disability score was 60.3 (16.0) yr. Sixty (47.2%) women were non-adherent to medication; 20 (33.3%) of these were intentionally non-adherent, 24 (40.0%) were unintentionally non-adherent, and the remaining subjects were both. Overall non-adherence was predicted by higher patient-physician discordance. Unintentional non-adherence was predicted by community subjects, not being under a rheumatologist's care, less disease activity, less use of instrumental coping, and higher patient-physician discordance. Intentional non-adherence was predicted by shorter duration under a rheumatologist's care and higher patient-physician discordance. CONCLUSION: The therapeutic relationship, in addition to clinical and psychosocial characteristics, influenced non-adherence to medication.
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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 | 0.001 |
| 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".