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Prevalence and associated factors of HIV testing among reproductive-age women in eastern Africa: multilevel analysis of demographic and health surveys
BACKGROUND: Despite efforts made to reduce the spread of the human immune-deficiency virus (HIV), its testing coverage remains low in low and middle-income countries (LMIC). Besides, information on factors associated with HIV counseling and testing among reproductive-age women is not sufficiently av...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8243417/ https://www.ncbi.nlm.nih.gov/pubmed/34187431 http://dx.doi.org/10.1186/s12889-021-11292-9 |
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author | Worku, Misganaw Gebrie Tesema, Getayeneh Antehunegn Teshale, Achamyeleh Birhanu |
author_facet | Worku, Misganaw Gebrie Tesema, Getayeneh Antehunegn Teshale, Achamyeleh Birhanu |
author_sort | Worku, Misganaw Gebrie |
collection | PubMed |
description | BACKGROUND: Despite efforts made to reduce the spread of the human immune-deficiency virus (HIV), its testing coverage remains low in low and middle-income countries (LMIC). Besides, information on factors associated with HIV counseling and testing among reproductive-age women is not sufficiently available. Therefore, this study was aimed to determine the pooled prevalence and factors associated with HIV testing among reproductive-age women in eastern Africa. METHODS: Secondary data analysis was conducted based on the Demographic and Health Surveys (DHS) data conducted in East African countries. We pooled the most recent DHS surveys done in 11 East African countries. A total weighted sample of 183,411 reproductive-age women was included for this study. Both bivariable and multivariable multilevel logistic regression models were fitted. Variables with a p-value ≤0.2 in the bivariable analysis were selected for multivariable analysis. Finally, in the multivariable analysis, variables with a p-value ≤0.05 were considered as significant factors affecting HIV testing. RESULTS: The pooled prevalence of HIV testing in eastern Africa was 66.92% (95%CI: 66.70, 67.13%). In the multivariable multilevel analysis factors such as the age of respondent, marital status, educational level, HIV knowledge, HIV stigma indicator, risky sexual behavior and women who visit a health facility were positively associated with HIV testing coverage among reproductive-age women. While women from rich and richest households, having multiple sexual partners, being from rural dwellers, late initiation of sex and higher community illiteracy level had a lower chance of being tested for HIV. CONCLUSION: The pooled prevalence of HIV testing in eastern Africa was higher than most previous studies. Age of respondent, residence, wealth index, marital status, educational level, HIV knowledge, stigma indicator, risky sexual behavior, women who visit a health facility, multiple sexual partnerships, early initiation of sex and community illiteracy level were significantly associated with HIV testing. There should be an integrated strategic plan to give education about methods of HIV transmission and the implication of HIV testing and counseling. So all the stakeholders should have an integrated approach by giving special attention to the factors that hinder HIV testing to increase awareness regarding the benefit of HIV testing and counseling to control the spread of HIV/AIDS. |
format | Online Article Text |
id | pubmed-8243417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82434172021-06-30 Prevalence and associated factors of HIV testing among reproductive-age women in eastern Africa: multilevel analysis of demographic and health surveys Worku, Misganaw Gebrie Tesema, Getayeneh Antehunegn Teshale, Achamyeleh Birhanu BMC Public Health Research Article BACKGROUND: Despite efforts made to reduce the spread of the human immune-deficiency virus (HIV), its testing coverage remains low in low and middle-income countries (LMIC). Besides, information on factors associated with HIV counseling and testing among reproductive-age women is not sufficiently available. Therefore, this study was aimed to determine the pooled prevalence and factors associated with HIV testing among reproductive-age women in eastern Africa. METHODS: Secondary data analysis was conducted based on the Demographic and Health Surveys (DHS) data conducted in East African countries. We pooled the most recent DHS surveys done in 11 East African countries. A total weighted sample of 183,411 reproductive-age women was included for this study. Both bivariable and multivariable multilevel logistic regression models were fitted. Variables with a p-value ≤0.2 in the bivariable analysis were selected for multivariable analysis. Finally, in the multivariable analysis, variables with a p-value ≤0.05 were considered as significant factors affecting HIV testing. RESULTS: The pooled prevalence of HIV testing in eastern Africa was 66.92% (95%CI: 66.70, 67.13%). In the multivariable multilevel analysis factors such as the age of respondent, marital status, educational level, HIV knowledge, HIV stigma indicator, risky sexual behavior and women who visit a health facility were positively associated with HIV testing coverage among reproductive-age women. While women from rich and richest households, having multiple sexual partners, being from rural dwellers, late initiation of sex and higher community illiteracy level had a lower chance of being tested for HIV. CONCLUSION: The pooled prevalence of HIV testing in eastern Africa was higher than most previous studies. Age of respondent, residence, wealth index, marital status, educational level, HIV knowledge, stigma indicator, risky sexual behavior, women who visit a health facility, multiple sexual partnerships, early initiation of sex and community illiteracy level were significantly associated with HIV testing. There should be an integrated strategic plan to give education about methods of HIV transmission and the implication of HIV testing and counseling. So all the stakeholders should have an integrated approach by giving special attention to the factors that hinder HIV testing to increase awareness regarding the benefit of HIV testing and counseling to control the spread of HIV/AIDS. BioMed Central 2021-06-29 /pmc/articles/PMC8243417/ /pubmed/34187431 http://dx.doi.org/10.1186/s12889-021-11292-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Worku, Misganaw Gebrie Tesema, Getayeneh Antehunegn Teshale, Achamyeleh Birhanu Prevalence and associated factors of HIV testing among reproductive-age women in eastern Africa: multilevel analysis of demographic and health surveys |
title | Prevalence and associated factors of HIV testing among reproductive-age women in eastern Africa: multilevel analysis of demographic and health surveys |
title_full | Prevalence and associated factors of HIV testing among reproductive-age women in eastern Africa: multilevel analysis of demographic and health surveys |
title_fullStr | Prevalence and associated factors of HIV testing among reproductive-age women in eastern Africa: multilevel analysis of demographic and health surveys |
title_full_unstemmed | Prevalence and associated factors of HIV testing among reproductive-age women in eastern Africa: multilevel analysis of demographic and health surveys |
title_short | Prevalence and associated factors of HIV testing among reproductive-age women in eastern Africa: multilevel analysis of demographic and health surveys |
title_sort | prevalence and associated factors of hiv testing among reproductive-age women in eastern africa: multilevel analysis of demographic and health surveys |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8243417/ https://www.ncbi.nlm.nih.gov/pubmed/34187431 http://dx.doi.org/10.1186/s12889-021-11292-9 |
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