‘I still desire to have a child’: a qualitative analysis of intersectional HIV- and childlessness-related stigma in rural southwestern Uganda
Bibliographic record
Abstract
This study explored the intersecting forms of stigma experienced by HIV-serodifferent couples with unmet reproductive goals in rural Uganda. The parent mixed-methods study, which included 131 HIV-exposed women with plans for pregnancy, offered comprehensive HIV prevention counselling and care over a nine-month period. In-depth interviews were conducted with 37 women and seven male partners to explore care experiences and the use of safer conception strategies. This secondary analysis explored how challenges conceiving informed pregnancy plans and HIV prevention behaviours. The following themes were developed (1) partnership conflicts arise from HIV- and infertility-related forms of stigma, contributing to gender-based violence, partnership dissolution and the pursuit of new partners; (2) cultural and gender norms pressure men and women to conceive and maintain partnerships, which is complicated by the stigma directed towards serodifferent couples; (3) frustration with low partner participation in safer conception strategies led to the decreased use of these methods of HIV prevention; (4) health care provider support promotes continued hope of conception and helps overcome stigma. In HIV-affected partnerships, these intersecting forms of stigma may impact HIV prevention. Seeking to fulfil their reproductive needs, partners may increase HIV transmission opportunities as they engage in condomless sex with additional partners and decrease adherence to prevention strategies. Future research programmes should consider the integration of fertility counselling with reproductive and sexual health care.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".