“The medications are the decision-makers…” Making reproductive and medication use decisions among female patients with rheumatoid arthritis: a constructivist grounded theory
Bibliographic record
Abstract
OBJECTIVE: To examine how female patients with RA form decisions about having children, pregnancy, and medication use. METHODS: We employed a constructivist grounded theory design and recruited female participants who are 18 years or older, have a rheumatologist-confirmed RA diagnosis, live in Canada, and are able to communicate in English or French. We collected data through semi-structured individual and focus group interviews using telephone or video conferencing technology. Data collection and analysis were iterative, employed theoretical sampling, reflexive journaling, and peer debriefing, and culminated in a theoretical model. RESULTS: We recruited 21 participants with a mean age of 34 years and median 10 years since RA diagnosis. Overall, 33% had never been pregnant, 57% had previously been pregnant, and 10% were pregnant at the time of interview. Of those who had experienced pregnancy, 64% had at least one pregnancy while diagnosed with RA and of those, 56% used DMARD(s) during a pregnancy. We constructed a patient-centred framework depicting the dynamic relationships between 4 decision-making processes-(1) using medications, (2) having children, (3) planning pregnancy, and (4) parenting-and the substantial impact of healthcare providers on patients' experiences making these decisions. These processes were further influenced by participants' intersecting identities and contextual factors, particularly attitudes towards health and medications, disease onset and severity, familial support system, and experiences interacting with the healthcare system. CONCLUSION: Our framework provides insight into how patients make reproductive decisions in the context of managing RA and the opportunities for providers to support them at each decision-making process. A patient-centred care approach is suggested to support female patients with RA in making reproductive and medication choices aligning with their individual desires, needs, and values.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".