Exploring the Factors Considered by People Living with HIV and Their Partners during Preconception
Bibliographic record
Abstract
Data are lacking on factors that may impact conception-related decision-making among individuals living with HIV. This study's aim was to shed light on these considerations. Participants were invited to complete a survey on preconception considerations. A rank-ordered logit model was fit to estimate the relative importance of listed consideration factors; the interaction of HIV status and the factors was assessed. Fifty-nine participants living with HIV and 18 partners (11 HIV-negative participants and 7 living with HIV) were included. Risk of vertical and horizontal HIV transmission and the effect of antiretroviral therapy on the fetus were the top considerations. However, individuals living with HIV prioritized vertical transmission, whereas HIV-negative participants prioritized horizontal transmission. Other factors of importance were probability of conception, stress of trying to conceive, cost associated with fertility clinics, and stigma associated with certain conception methods. This study builds our understanding of the preconception considerations for people living with HIV.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".