ArticleHIV/AIDS (Auckland, N.Z.)2023
Socioeconomic Inequality in Knowledge About HIV and Its Contributing Factors Among Women of Reproductive Age in Sub-Saharan Africa: A Multicountry and Decomposition Analysis.
Article in HIV/AIDS (Auckland, N.Z.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Knowledge, attitudes, and practices in cardiometabolic health among adolescents and adults in HIV care in Dar es Salaam, Tanzania.Frontiers in public health · 2026Article
- Comprehensive HIV/AIDS knowledge among Rwandan men aged 50-59: evidence from the 2019-20 RDHS.AIDS research and therapy · 2025Article
- Determinants of comprehensive HIV and AIDS knowledge among Tanzanian adolescent girls and young women: a multilevel application of Andersen's behavioral model based on national survey.Frontiers in public health · 2025Article
- Global, regional, and national burden and trends of HIV/AIDS among women of childbearing age from 1990 to 2021: results from Global Burden of Disease 2021.Frontiers in medicine · 2025Article
- Comprehensive knowledge about HIV/AIDS and associated factors among reproductive age women in Liberia.BMC public health · 2024Article
- Do immigrants know less than natives about cancer screening tests? - the case of Netherlands.Journal of migration and health · 2024Article
- Socioeconomic inequality in knowledge about HIV/AIDS over time in Ethiopia: A population-based study.PLOS global public health · 2023Article
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Abstract
Aim: To examine the socioeconomic inequality in knowledge about HIV and its contributing factors among women of reproductive age in sub-Saharan Africa. Methods: We have used the most recent demographic and health survey data of the 15 sub-Saharan African countries. 204,495 women of reproductive age made up the entire weighted sample. Erreygers normalized concentration index (ECI) was utilized to evaluate socioeconomic inequality in knowledge about HIV. The variables that contributed to the observed socioeconomic inequality were determined using decomposition analysis. Results: We found the pro-rich inequality in knowledge about HIV (the weighted ECI was 0.16 with a Standard error = 0.007 and P value< 0.001). The decomposition analysis indicated that educational status (46.10%), wealth status (30.85%), listening to the radio (21.73%), and reading newspapers (7.05%) were among the contributors to the pro-rich socioeconomic inequalities in knowledge about HIV. Conclusion: Having knowledge about HIV is concentrated among rich reproductive-age women. Educational status, wealth status, and media exposure were the major contributors and should be a priority for interventions to reduce the inequality in knowledge about HIV.
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