‘I couldn’t carry on taking a drug like that’: a qualitative study of patient perspectives on side effects from rheumatology drugs
Bibliographic record
Abstract
OBJECTIVES: There is growing interest in collecting outcome information directly from patients in clinical trials. This study evaluates what patients with rheumatic and musculoskeletal diseases (RMDs) consider important to know about symptomatic side effects they may experience from a new prescription drug. METHODS: Patients with inflammatory arthritis, who had one or more prescribed drugs for their disease for at least 12 months, participated in focus groups and individual interviews. Discussions were analysed using reflexive thematic analysis. RESULTS: We conducted seven focus groups with 34 participants across three continents. We found four overarching and two underpinning themes. The 'impact on life' was connected to participants' 'daily life', 'family life', 'work life' and 'social life'. In 'psychological and physical aspects' participants described 'limitation to physical function', 'emotional dysregulation' and 'an overall mental state'. Extra tests, hospital visits and payment for medication were considered a 'time, energy and financial burden' of side effects. Participants explained important measurement issues to be 'severity', 'frequency' and 'duration'. Underpinning these issues, participants evaluated the 'benefit-harm balance' which includes 'the cumulative burden' of having several side effects and the persistence of side effects over time. CONCLUSIONS: In treatment for RMDs, there seems to be an urgent need for feasible measures of patient-reported bother (impact on life and cumulative burden) from side effects and the benefit-harm balance. These findings contribute new evidence in support of a target domain-an outcome that represents the patient voice evaluating the symptomatic treatment-related side effects for people with RMDs enrolled in clinical trials.
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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 | 0.028 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.013 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".