Prevalence and correlates of prenatal HIV testing among female sex workers in Nigeria
Bibliographic record
Abstract
BACKGROUND: Female sex workers (FSWs) face a significant and persistent risk of contracting HIV. While evidence indicates high rates of pregnancy among FSWs in sub-Saharan Africa, studies on the coverage of HIV testing during pregnancy among them are sparse. The objective of this study was to estimate the prevalence of prenatal HIV testing and determine the associated factors among FSWs in Nigeria. METHODS: This study was a secondary data analysis of the 2020 Integrated Biological & Behavioural Surveillance Survey (IBBSS) among key populations in Nigeria. We performed weighted descriptive statistics and multivariable binary logistic regression to assess the associations between prenatal HIV testing and sociodemographic characteristics, risk behaviours, HIV knowledge and risk awareness, stigma, and access to healthcare. RESULTS: Of the 1598 FSWs included in the study, 71.0% (95%CI = 68.7%-73.1%) had HIV testing during their last pregnancy. In the regression model, tertiary education (aOR = 2.98, 95%CI = 1.48-6.01), consistent condom use (aOR = 1.95, 95%CI = 1.39-2.75), and receipt of antenatal care (aOR = 35.52, 95%CI = 23.40-53.92) were associated with higher odds of prenatal HIV testing. Compared with the South South geopolitical zone, FSW residing in South East (aOR = 3.38, 95%CI = 1.80-6.35), South West (aOR = 2.97, 95%CI = 1.88-4.68), North Central (aOR = 4.43, 95%CI = 2.80-7.01), North East (aOR = 4.22, 95%CI = 1.64-10.34), North West (aOR = 4.40, 95%CI = 2.59-7.48) had higher odds of reporting prenatal HIV testing. However, being a non-brothel-based FSW (aOR = 0.66, 95%CI = 0.47-0.92), and engaging in sex work during pregnancy (aOR = 0.45, 95%CI = 0.31-0.66) were significantly associated with lower odds of prenatal HIV testing. CONCLUSIONS: The prenatal HIV testing among FSWs in this study was suboptimal. The results highlight the need to improve access to antenatal care and implement regional and typology-specific interventions to bridge the gap in prenatal HIV testing among FSWs.
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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 | 0.000 |
| 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) | 0.000 | 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".