Childbearing Intentions of HIV-Positive Women of Reproductive Age in Soweto, South Africa: The Influence of Expanding Access to HAART in an HIV Hyperendemic Setting
Bibliographic record
Abstract
OBJECTIVES: We investigated whether the intention to have children varied according to HIV status and use of highly active antiretroviral therapy (HAART) among women in Soweto, South Africa. METHODS: We used survey data from 674 women aged 18 to 44 years recruited from the Perinatal HIV Research Unit in Soweto (May through December 2007); 217 were HIV-positive HAART users (median duration of use = 31 months; interquartile range = 28, 33), 215 were HIV-positive and HAART-naive, and 242 were HIV negative. Logistic regression models examined associations between HIV status, HAART use, and intention to have children. RESULTS: Overall, 44% of women reported intent to have children, with significant variation by HIV status: 31% of HAART users, 29% of HAART-naive women, and 68% of HIV-negative women (P < .001). In adjusted models, HIV-positive women were nearly 60% less likely to report childbearing intentions compared with HIV-negative women (for HAART users, adjusted odds ratio [AOR] = 0.40; 95% confidence interval [CI] = 0.23, 0.69; for HAART-naive women, AOR = 0.35; 95% CI = 0.21, 0.60), with minimal differences according to use or duration of HAART. CONCLUSIONS: Integrated HIV, HAART, and reproductive health services must be provided to support the rights of all women to safely achieve their fertility goals.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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; a candidate call from one teacher head, 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".