“r/Thritis”, Pregnancy, and Parenting: A Qualitative Descriptive Study of Reddit Forums to Explore Information Needs and Concerns of Women With Rheumatoid Arthritis
Bibliographic record
Abstract
OBJECTIVE: Rheumatoid arthritis (RA) disproportionately affects more women than men, often striking during childbearing years. Because the Internet, particularly social media, is increasingly used by patients with chronic conditions seeking and sharing information, our objective was to conduct a qualitative descriptive study of threads on the social news website, Reddit, to understand the information needs and concerns of women with RA regarding pregnancy and parenting. METHODS: We searched threads (original posts and responses) on three subreddit sites, "r/Thritis," "r/Rheumatoid," and "r/BabyBumps," over a 10-year period between October 27, 2008, and October 27, 2018. All threads were reviewed, and those that specifically mentioned having RA and fertility/family planning, pregnancy/reproduction, and/or parenting/having children were included. We applied a thematic analysis to the threads, which involved initial line-by-line coding, clustering of codes into subcategories and categories, and abstraction into final themes. RESULTS: We identified 87 threads and included 59 for qualitative analysis. The thematic analysis led to the identification of five themes. Theme one (finding a community) captures motivations for seeking information online. Themes two (making decisions about pregnancy and having children) and three (worrying about the impacts of arthritis on pregnancy and parenting) capture women's concerns and thought processes. Themes four (information needs for managing arthritis throughout the perinatal period) and five (pregnancy information and resources for women with arthritis) describe the community's specific informational needs. CONCLUSION: A qualitative analysis of publicly available threads about the relationship between RA and issues of pregnancy and parenting identified areas of concern and further information need. These forums also provided an online community where women with RA sought social support and encouragement. Altogether, findings speak to the importance of supporting the information and care needs of women with RA who are pregnant or considering pregnancy.
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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 | 0.013 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.005 |
| 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".