Sexually Transmitted Infection Prevalence Among Women at Risk for HIV Exposure Initiating Safer Conception Care in Rural, Southwestern Uganda
Bibliographic record
Abstract
BACKGROUND: Knowledge of sexually transmitted infection (STI) prevalence and risk factors is important to the development of tenofovir-based preexposure prophylaxis (PrEP) and safer conception programming. We introduced STI screening among women at risk for HIV exposure who were participating in a safer conception study in southwestern Uganda. METHODS: We enrolled 131 HIV-uninfected women, planning for pregnancy with a partner living with HIV or of unknown HIV serostatus (2018-2019). Women were offered comprehensive safer conception counseling, including PrEP. Participants completed interviewer-administered questionnaires detailing sociodemographics and sexual history. We integrated laboratory screening for chlamydia, gonorrhea, trichomoniasis, and syphilis as a substudy to assess STI prevalence. Multivariable logistic regression was used to determine correlates. RESULTS: Ninety-four women completed STI screening (72% of enrolled). Median age was 30 (interquartile range, 26-34) years, and 94% chose PrEP as part of safer conception care. Overall, 24% had STIs: 13% chlamydia, 2% gonorrhea, 6% trichomoniasis, 6% syphilis, and 3% ≥2 STI. Sexually transmitted infection prevalence was associated with younger age (adjusted odds ratio [AOR], 0.87; 95% confidence interval [CI], 0.77-0.99), prior stillbirth (AOR, 5.04; 95% CI, 1.12-22.54), and not feeling vulnerable to HIV (AOR, 16.33; 95% CI, 1.12-237.94). CONCLUSIONS: We describe a 24% curable STI prevalence among women at risk for HIV exposure who were planning for pregnancy. These data highlight the importance of integrating laboratory-based STI screening into safer conception programs to maximize the health of HIV-affected women, children, and families.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".