HIV/AIDS: Research and Palliative Care (Sep 2020)

Predictors of Comprehensive Knowledge of HIV/AIDS Among People Aged 15–49 Years in Ethiopia: A Multilevel Analysis

  • Kefale B,
  • Damtie Y,
  • Yalew M,
  • Adane B,
  • Arefaynie M

Journal volume & issue
Vol. Volume 12
pp. 449 – 456

Abstract

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Bereket Kefale,1 Yitayish Damtie,1 Melaku Yalew,1 Bezawit Adane,2 Mastewal Arefaynie1 1Department of Reproductive and Family Health, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia; 2Department of Biostatistics and Epidemiology, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, EthiopiaCorrespondence: Bereket KefaleDepartment of Reproductive and Family Health, School of Public Health, College of Medicine and Health Sciences, Wollo University, PO Box: 1145, Dessie, EthiopiaTel +251933807117Fax +251331190586Email [email protected]: HIV/AIDS has been a big public health problem in sub-Saharan African countries including Ethiopia. Comprehensive knowledge is a basis for the prevention, control and treatment of HIV/AIDS. Several studies were focused only on the individual-level characteristics. However, comprehensive knowledge of HIV/AIDS is a multi-factorial understanding on a different level. Thus, the aim of this study was to identify the individual- and community-level factors that determine comprehensive knowledge of HIV/AIDS in Ethiopia.Methods: This study used data from the 2016 Ethiopian Demographic and Health Survey (EDHS). A total of 25,927 (weighted) people aged 15– 49 years were included in the study. A two-stage stratified cluster was used. Data were analyzed using Stata version 14. Multilevel mixed effect logistic regression was used to identify predictors of comprehensive knowledge on HIV/AIDS.Results: Various individual- and community-level factors were associated with comprehensive knowledge of HIV/AIDS. From individual-level factors such as sex (male), educational status (educated), media exposure, and ever been tested for HIV, and from community-level factors such as place of residence (urban) and region (developed region) were predictors of comprehensive knowledge of HIV/AIDS.Conclusion: Both individual- and community-level factors were identified as predictors of comprehensive knowledge of HIV/AIDS. The government should design strategies to address the HIV/AIDS knowledge gaps among women and other underprivileged population sub-groups.Keywords: predictors, comprehensive knowledge, HIV/AIDS, multi-level analysis, Ethiopia

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