Prevalence and risk factors of unsuppressed viral load among pregnant and breastfeeding women in sub-Saharan Africa: analysis from population-based surveys
Bibliographic record
Abstract
OBJECTIVE: To examine the prevalence of viral suppression and risk factors for unsuppressed viral load among pregnant and breastfeeding women living with HIV (WLH). DESIGN: Pooled analysis among pregnant and breastfeeding WLH from Population-Based HIV Impact Assessment (PHIA) cross-sectional surveys from 10 sub-Saharan African countries. METHODS: Questionnaires included sociodemographic, relationship-related, and HIV-related items, while blood tests examined HIV serostatus and viral load (data collected 2015-2018). The weighted prevalence of viral suppression was calculated. Logistic regression was used to examine risk factors for unsuppressed viral load (≥1000 copies/ml). RESULTS: Of 1685 pregnant or breastfeeding WLH with viral load results, 63.8% (95% confidence interval (CI): 60.8-66.7%) were virally suppressed at the study visit. Among all included women, adolescence (adjusted odds ratio (aOR): 4.85, 95% CI: 2.58-9.14, P < 0.001) and nondisclosure of HIV status to partner (aOR: 1.48, 95% CI: 1.02-2.14, P = 0.04) were associated with unsuppressed viral load. Among only partnered women, adolescence (aOR: 7.95, 95% CI: 3.32-19.06, P < 0.001), and lack of paid employment (aOR: 0.67, 95% CI: 0.47-0.94, P = 0.02) were associated with unsuppressed viral load. Examining only women on ART, nondisclosure of HIV status to partner (aOR: 1.85, 95% CI: 1.19-2.88, P = 0.006) was associated with unsuppressed viral load. CONCLUSION: Viral suppression among pregnant and breastfeeding WLH in sub-Saharan Africa remains suboptimal. Relationship dynamics around nondisclosure of HIV-positive status to partners was an important risk factor for unsuppressed viral load. Improving HIV care via sensitive discussions around partner dynamics in pregnant and breastfeeding women could improve maternal HIV outcomes and prevention of mother-to-child transmission of HIV (PMTCT).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".