“Walking into the unknown…” key challenges of pregnancy and early parenting with inflammatory arthritis: a systematic review and thematic synthesis of qualitative studies
Bibliographic record
Abstract
BACKGROUND: To conduct a systematic review and thematic synthesis of qualitative studies on the pregnancy and early parenting experiences of patients with inflammatory arthritis (IA). METHODS: We searched online databases for English-language, qualitative studies capturing the experiences of females with IA or their healthcare providers with pregnancy and/or early parenthood. We extracted findings from included studies and used thematic synthesis to develop descriptive and higher-order analytical themes. RESULTS: Of 20 included studies, our analysis identified 5 analytical themes among patients and 3 among providers. Patients' reproductive desires, the impact of IA on their ability to experience pregnancy, and the availability of information to guide preparedness informed their pregnancy decisions. Patients' IA management, pregnancy expectations, and access to support influenced their reproductive experiences. Patients' experiences seeking information and care revealed substantial gaps in reproductive care provision to patients with IA. Reproductive uncertainty related to IA placed a heavy burden on patients' emotional and psychological wellbeing. Reproductive care provision was influenced by providers' perceived professional responsibility to address patients' reproductive goals, fears of negative outcomes, and capacity to harness patient trust, incorporate reproductive care into rheumatology practice and facilitate multi-disciplinary care coordination. CONCLUSIONS: Our review illuminated several barriers to experiencing pregnancy among patients with IA, particularly related to pregnancy planning support, availability of information, and care coordination among the patient's healthcare team. To improve care, these barriers may be mitigated through the provision of relevant, practical, and consistent information as well as patient-centred multi-disciplinary approaches for managing pregnancy among patients with IA.
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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 | 0.091 | 0.184 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.015 | 0.018 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| 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".