Patient and rheumatologist perspectives on tapering DMARDs in rheumatoid arthritis: a qualitative study
Bibliographic record
Abstract
OBJECTIVES: To understand the perspectives of patients and rheumatologists for tapering DMARDs in RA. METHODS: Using semi-structured interview guides, we conducted individual interviews and focus groups with RA patients and rheumatologists, which were audiotaped and transcribed. We conducted a pragmatic thematic analysis to identify major themes, comparing and contrasting different views on DMARD tapering between patients and rheumatologists. RESULTS: We recruited 28 adult patients with RA (64% women; disease duration 1-54 y) and 23 rheumatologists (52% women). Attitudes across both groups towards tapering DMARDs were ambivalent, ranging from wary to enthusiastic. Both groups expressed concerns, particularly the inability to 'recapture' the same level of disease control, while also acknowledging potential positive outcomes such as reduced drug harms. Patient tapering perspectives (whether to and when) changed over time and commonly included non-biologic DMARDs. Patient preferences were influenced by lived experiences, side effects, previous tapering experiences, disease trajectory, remission duration and current life roles. Rheumatologists' perspectives varied on timing and patient profile to initiate tapering, and were informed by both data and clinical experience. Patients expressed interest in shared decision-making (SDM) and close monitoring during tapering, with ready access to their health-care team if problems arose. Rheumatologists were generally open to tapering (not stopping), though sometimes only when requested by their patients. CONCLUSION: The perspectives of patients and rheumatologists on tapering DMARDs in RA vary and evolve over time. Rheumatologists should periodically discuss DMARD tapering with patients as part of SDM, and ensure monitoring and flare management plans are in place.
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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 | 0.018 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".