Cargando…

Prevalence and associated factors of HIV testing among young (15–24) women in eastern Africa: a multilevel analysis of demographic health survey data (2008-2018)

BACKGROUND: According to available evidence, only 15% of young women in sub-Saharan Africa know their Human immune deficiency virus (HIV) status. Despite a high prevalence of HIV infection among adolescents and young women, policymakers give less attention to HIV testing and counseling services. So,...

Descripción completa

Detalles Bibliográficos
Autores principales: Worku, Misganaw Gebrie, Teshale, Achamyeleh Birhanu, Tesema, Getayeneh Antehunegn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004117/
https://www.ncbi.nlm.nih.gov/pubmed/35410302
http://dx.doi.org/10.1186/s13690-022-00879-2
_version_ 1784686221874692096
author Worku, Misganaw Gebrie
Teshale, Achamyeleh Birhanu
Tesema, Getayeneh Antehunegn
author_facet Worku, Misganaw Gebrie
Teshale, Achamyeleh Birhanu
Tesema, Getayeneh Antehunegn
author_sort Worku, Misganaw Gebrie
collection PubMed
description BACKGROUND: According to available evidence, only 15% of young women in sub-Saharan Africa know their Human immune deficiency virus (HIV) status. Despite a high prevalence of HIV infection among adolescents and young women, policymakers give less attention to HIV testing and counseling services. So, this study aimed to investigate the pooled prevalence and associated factors of HIV testing among young women in east Africa. METHODS: The most recent DHS surveys done among 11 east African countries were pooled and a weighted sample of 73,661 young women were included. At bivariable analysis variables with a p-value≤0.2 were selected for multivariable analysis and variables with a p-value of ≤0.05 in the multivariable analysis were considered as a statistically significant determinant of HIV testing. RESULTS: Pooled prevalence of HIV testing among young women was 55.3%: 95% CI (54.97%, 55.69%). In the multilevel multivariable analysis: respondent age, marital status, educational level, occupation, media exposure, having higher and comprehensive knowledge about HIV / AIDS, having some and higher risky sexual behavior, visiting health care facilities, being rural dweller, being from rich households, having multiple sexual partners, early sex initiation and community-level education were significantly associated with HIV testing. CONCLUSION: The prevalence of HIV testing among young women was significantly affected by both individual and community-level factors. To prevent the transmission and dissemination of HIV, there should be a systematic and coordinated approach and policy for HIV testing among young people.
format Online
Article
Text
id pubmed-9004117
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-90041172022-04-13 Prevalence and associated factors of HIV testing among young (15–24) women in eastern Africa: a multilevel analysis of demographic health survey data (2008-2018) Worku, Misganaw Gebrie Teshale, Achamyeleh Birhanu Tesema, Getayeneh Antehunegn Arch Public Health Research BACKGROUND: According to available evidence, only 15% of young women in sub-Saharan Africa know their Human immune deficiency virus (HIV) status. Despite a high prevalence of HIV infection among adolescents and young women, policymakers give less attention to HIV testing and counseling services. So, this study aimed to investigate the pooled prevalence and associated factors of HIV testing among young women in east Africa. METHODS: The most recent DHS surveys done among 11 east African countries were pooled and a weighted sample of 73,661 young women were included. At bivariable analysis variables with a p-value≤0.2 were selected for multivariable analysis and variables with a p-value of ≤0.05 in the multivariable analysis were considered as a statistically significant determinant of HIV testing. RESULTS: Pooled prevalence of HIV testing among young women was 55.3%: 95% CI (54.97%, 55.69%). In the multilevel multivariable analysis: respondent age, marital status, educational level, occupation, media exposure, having higher and comprehensive knowledge about HIV / AIDS, having some and higher risky sexual behavior, visiting health care facilities, being rural dweller, being from rich households, having multiple sexual partners, early sex initiation and community-level education were significantly associated with HIV testing. CONCLUSION: The prevalence of HIV testing among young women was significantly affected by both individual and community-level factors. To prevent the transmission and dissemination of HIV, there should be a systematic and coordinated approach and policy for HIV testing among young people. BioMed Central 2022-04-11 /pmc/articles/PMC9004117/ /pubmed/35410302 http://dx.doi.org/10.1186/s13690-022-00879-2 Text en © The Author(s) 2022 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
Worku, Misganaw Gebrie
Teshale, Achamyeleh Birhanu
Tesema, Getayeneh Antehunegn
Prevalence and associated factors of HIV testing among young (15–24) women in eastern Africa: a multilevel analysis of demographic health survey data (2008-2018)
title Prevalence and associated factors of HIV testing among young (15–24) women in eastern Africa: a multilevel analysis of demographic health survey data (2008-2018)
title_full Prevalence and associated factors of HIV testing among young (15–24) women in eastern Africa: a multilevel analysis of demographic health survey data (2008-2018)
title_fullStr Prevalence and associated factors of HIV testing among young (15–24) women in eastern Africa: a multilevel analysis of demographic health survey data (2008-2018)
title_full_unstemmed Prevalence and associated factors of HIV testing among young (15–24) women in eastern Africa: a multilevel analysis of demographic health survey data (2008-2018)
title_short Prevalence and associated factors of HIV testing among young (15–24) women in eastern Africa: a multilevel analysis of demographic health survey data (2008-2018)
title_sort prevalence and associated factors of hiv testing among young (15–24) women in eastern africa: a multilevel analysis of demographic health survey data (2008-2018)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004117/
https://www.ncbi.nlm.nih.gov/pubmed/35410302
http://dx.doi.org/10.1186/s13690-022-00879-2
work_keys_str_mv AT workumisganawgebrie prevalenceandassociatedfactorsofhivtestingamongyoung1524womenineasternafricaamultilevelanalysisofdemographichealthsurveydata20082018
AT teshaleachamyelehbirhanu prevalenceandassociatedfactorsofhivtestingamongyoung1524womenineasternafricaamultilevelanalysisofdemographichealthsurveydata20082018
AT tesemagetayenehantehunegn prevalenceandassociatedfactorsofhivtestingamongyoung1524womenineasternafricaamultilevelanalysisofdemographichealthsurveydata20082018