Women’s decision-making capacity and its association with comprehensive knowledge of HIV/AIDS in 23 sub-Saharan African countries
Bibliographic record
Abstract
BACKGROUND: Globally, Human Immunodeficiency Virus (HIV) that causes Acquired Immunodeficiency Syndrome (AIDS) remains a public health problem with a higher burden in sub-Saharan African countries. Though the coverage is low in sub-Saharan Africa (SSA), comprehensive knowledge about HIV is vital for preventing and controlling the transmission of the virus. Women's decision-making power is significantly linked with the knowledge and use of healthcare services. However, there is no available evidence on women's decision-making capacity and comprehensive knowledge of HIV. Therefore, this study investigated the association between women's decision-making capacity within households and comprehensive knowledge of HIV/AIDS in SSA. METHODS: We derived data from the 2010 to 2020 Demographic and Health Surveys of 23 sub-Saharan African countries for the analysis. Using Stata version 14, both bivariate logistic regression and multivariate multilevel logistic regression analyses were used to examine the association between women's decision-making capacity and comprehensive knowledge of HIV/AIDS at p ≤ 0.05. Results were reported using adjusted odds ratios (aOR) with their respective 95% confidence interval (CI). RESULTS: The pooled results show that comprehensive HIV/AIDS knowledge among married women in the studied countries was 35.5%, from 18.3% in Chad to 77.1% in Rwanda. Regarding sub-regional distribution, comprehensive knowledge of HIV/AIDS in Southern Africa was 73.2%, followed by East Africa (52.4%), West Africa (43.6%), and Central Africa (35.5%). The study showed higher odds of comprehensive knowledge of HIV/AIDS among married women who had decision making power (yes-aOR = 1.20, 95% CI; 1.16-1.25) compared to those who had no decision-making power. Age, women and partner's level of education, place of residence, exposure to media, HIV testing status, community socio-economic status, parity, religion, and distance to health facilities also had significant association with comprehensive HIV/AIDS knowledge. CONCLUSIONS: Comprehensive knowledge of HIV/AIDS in SSA is low but varies per country. Married women with decision-making capacity were more likely to have comprehensive knowledge of HIV compared to those with no decision-making capacity. Therefore, comprehensive knowledge of HIV/AIDS can be increased through enhancing women's decision-making capacities, strengthening employment opportunities, socioeconomic capacities and creating awareness through media. Moreover, improving access to health care facilities working closely with religious leaders, can be considered to increase coverage of comprehensive knowledge of HIV among married women in SSA.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".