Knowledge of mother-to-child transmission of HIV among women living with HIV in Malawi
Bibliographic record
Abstract
OBJECTIVES: To reduce the incidence of mother-to-child transmission (MTCT) of HIV in Malawi, interventions have been created for women to be informed about the MTCT of HIV and for women living with HIV to be entered into the HIV care cascade to ensure safer deliveries. Our study aimed to examine the effectiveness of these strategies by exploring the determinants of adequate knowledge of MTCT of HIV among women living with HIV in Malawi. METHODS: We used the 2015-16 Malawi Demographic and Health Survey data and applied logistics regression analysis to explore the determinants of adequate knowledge of MTCT of HIV among women living with HIV. RESULTS: Our findings estimated that 75% of women living with HIV possessed adequate knowledge of MTCT of HIV. We also found that compared to those with no formal education, women with primary education (OR = 1.88, 95% CI = 1.04, 3.41) and secondary education or higher (OR = 2.61, 95% CI = 1.21, 5.62) were more likely to have adequate knowledge of MTCT of HIV. Furthermore, women who were resident in rural areas (OR = 2.97, 95% CI = 1.58, 5.57), were more likely to have adequate knowledge of MTCT of HIV relative to those in urban areas. Finally, women who had adequate HIV knowledge (OR = 1.85, 95% CI = 1.19, 2.89) and those who rejected the endorsement of HIV stigma and discrimination (OR = 2.30, 95% CI = 1.39, 3.81) were more likely to have adequate knowledge about the MTCT of HIV. CONCLUSION: Based on our findings, there is an urgent need to offer women living with HIV in Malawi the opportunity to increase their knowledge of MTCT of HIV if the country is to make progress towards the elimination of MTCT of HIV as part of the overall strategy to contain new HIV infections in the country.
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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 | 0.001 | 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) | 0.001 | 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".