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Determinants of accessing healthcare in Sub-Saharan Africa: a mixed-effect analysis of recent Demographic and Health Surveys from 36 countries

OBJECTIVE: This study aimed to assess the determinants of accessing healthcare among reproductive-age women in Sub-Saharan Africa (SSA). DESIGN, SETTING AND ANALYSIS: Cross-sectional data were sourced from recent Demographic and Health Surveys in 36 SSA countries. We employed mixed-effect analysis t...

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Autores principales: Tessema, Zemenu Tadesse, Worku, Misganaw Gebrie, Tesema, Getayeneh Antehunegn, Alamneh, Tesfa Sewunet, Teshale, Achamyeleh Birhanu, Yeshaw, Yigizie, Alem, Adugnaw Zeleke, Ayalew, Hiwotie Getaneh, Liyew, Alemneh Mekuriaw
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804632/
https://www.ncbi.nlm.nih.gov/pubmed/35105635
http://dx.doi.org/10.1136/bmjopen-2021-054397
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author Tessema, Zemenu Tadesse
Worku, Misganaw Gebrie
Tesema, Getayeneh Antehunegn
Alamneh, Tesfa Sewunet
Teshale, Achamyeleh Birhanu
Yeshaw, Yigizie
Alem, Adugnaw Zeleke
Ayalew, Hiwotie Getaneh
Liyew, Alemneh Mekuriaw
author_facet Tessema, Zemenu Tadesse
Worku, Misganaw Gebrie
Tesema, Getayeneh Antehunegn
Alamneh, Tesfa Sewunet
Teshale, Achamyeleh Birhanu
Yeshaw, Yigizie
Alem, Adugnaw Zeleke
Ayalew, Hiwotie Getaneh
Liyew, Alemneh Mekuriaw
author_sort Tessema, Zemenu Tadesse
collection PubMed
description OBJECTIVE: This study aimed to assess the determinants of accessing healthcare among reproductive-age women in Sub-Saharan Africa (SSA). DESIGN, SETTING AND ANALYSIS: Cross-sectional data were sourced from recent Demographic and Health Surveys in 36 SSA countries. We employed mixed-effect analysis to identify the determinants of accessing healthcare in SSA. OR and its 95% CI were reported for determinants associated with accessing healthcare. OUTCOME: The outcome for this study was whether accessing healthcare was a ‘big problem’ or ‘not a big problem’. Responses to these questions were categorised as a big problem and not a big problem. PARTICIPANTS: A total weighted sample of 500 439 reproductive-age (15–49 years) women from each country’s recent Demographic and Health Surveys from 2006 to 2018 were included in this study. RESULTS: The pooled prevalence of healthcare access among reproductive-age women in SSA was 42.56% (95% CI 42.43% to 42.69%). The results of the mixed-effect analysis revealed that the determinants of accessing healthcare were urban residence (adjusted OR (AOR)=1.25, 95% CI 1.34 to 1.73), ability to read and write (AOR=1.15, 95% CI 1.22 to 1.28), primary education (AOR=1.08, 95% CI 1.07 to 1.12), secondary education and above (AOR=1.12, 95% CI 1.10 to 1.14), husband with primary education (AOR=1.06, 95% CI 1.07 to 1.1.12), husband with secondary education and above (AOR=1.22, 95% CI 1.18 to 1.27), middle wealth index (AOR=1.43, 95% CI 1.40 to 1.47), rich wealth index (AOR=2.19, 95% CI 2.13 to 2.24) and wanted pregnancy (AOR=1.27, 95% CI 1.19 to 1.29). CONCLUSION: Healthcare access in SSA was found at 42.56%, which is very low even if Sustainable Development Goal 3.8 targeted universal health coverage for everyone so they can obtain the health services they need. The major determinants of healthcare access among reproductive-age women in SSA were urban residence, higher educational level, higher wealth index and wanted pregnancy. The findings of this study suggest and recommend strengthening and improving healthcare access for women who reside in the countryside, women with low level of education and women of low socioeconomic status.
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spelling pubmed-88046322022-02-07 Determinants of accessing healthcare in Sub-Saharan Africa: a mixed-effect analysis of recent Demographic and Health Surveys from 36 countries Tessema, Zemenu Tadesse Worku, Misganaw Gebrie Tesema, Getayeneh Antehunegn Alamneh, Tesfa Sewunet Teshale, Achamyeleh Birhanu Yeshaw, Yigizie Alem, Adugnaw Zeleke Ayalew, Hiwotie Getaneh Liyew, Alemneh Mekuriaw BMJ Open Epidemiology OBJECTIVE: This study aimed to assess the determinants of accessing healthcare among reproductive-age women in Sub-Saharan Africa (SSA). DESIGN, SETTING AND ANALYSIS: Cross-sectional data were sourced from recent Demographic and Health Surveys in 36 SSA countries. We employed mixed-effect analysis to identify the determinants of accessing healthcare in SSA. OR and its 95% CI were reported for determinants associated with accessing healthcare. OUTCOME: The outcome for this study was whether accessing healthcare was a ‘big problem’ or ‘not a big problem’. Responses to these questions were categorised as a big problem and not a big problem. PARTICIPANTS: A total weighted sample of 500 439 reproductive-age (15–49 years) women from each country’s recent Demographic and Health Surveys from 2006 to 2018 were included in this study. RESULTS: The pooled prevalence of healthcare access among reproductive-age women in SSA was 42.56% (95% CI 42.43% to 42.69%). The results of the mixed-effect analysis revealed that the determinants of accessing healthcare were urban residence (adjusted OR (AOR)=1.25, 95% CI 1.34 to 1.73), ability to read and write (AOR=1.15, 95% CI 1.22 to 1.28), primary education (AOR=1.08, 95% CI 1.07 to 1.12), secondary education and above (AOR=1.12, 95% CI 1.10 to 1.14), husband with primary education (AOR=1.06, 95% CI 1.07 to 1.1.12), husband with secondary education and above (AOR=1.22, 95% CI 1.18 to 1.27), middle wealth index (AOR=1.43, 95% CI 1.40 to 1.47), rich wealth index (AOR=2.19, 95% CI 2.13 to 2.24) and wanted pregnancy (AOR=1.27, 95% CI 1.19 to 1.29). CONCLUSION: Healthcare access in SSA was found at 42.56%, which is very low even if Sustainable Development Goal 3.8 targeted universal health coverage for everyone so they can obtain the health services they need. The major determinants of healthcare access among reproductive-age women in SSA were urban residence, higher educational level, higher wealth index and wanted pregnancy. The findings of this study suggest and recommend strengthening and improving healthcare access for women who reside in the countryside, women with low level of education and women of low socioeconomic status. BMJ Publishing Group 2022-01-31 /pmc/articles/PMC8804632/ /pubmed/35105635 http://dx.doi.org/10.1136/bmjopen-2021-054397 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Epidemiology
Tessema, Zemenu Tadesse
Worku, Misganaw Gebrie
Tesema, Getayeneh Antehunegn
Alamneh, Tesfa Sewunet
Teshale, Achamyeleh Birhanu
Yeshaw, Yigizie
Alem, Adugnaw Zeleke
Ayalew, Hiwotie Getaneh
Liyew, Alemneh Mekuriaw
Determinants of accessing healthcare in Sub-Saharan Africa: a mixed-effect analysis of recent Demographic and Health Surveys from 36 countries
title Determinants of accessing healthcare in Sub-Saharan Africa: a mixed-effect analysis of recent Demographic and Health Surveys from 36 countries
title_full Determinants of accessing healthcare in Sub-Saharan Africa: a mixed-effect analysis of recent Demographic and Health Surveys from 36 countries
title_fullStr Determinants of accessing healthcare in Sub-Saharan Africa: a mixed-effect analysis of recent Demographic and Health Surveys from 36 countries
title_full_unstemmed Determinants of accessing healthcare in Sub-Saharan Africa: a mixed-effect analysis of recent Demographic and Health Surveys from 36 countries
title_short Determinants of accessing healthcare in Sub-Saharan Africa: a mixed-effect analysis of recent Demographic and Health Surveys from 36 countries
title_sort determinants of accessing healthcare in sub-saharan africa: a mixed-effect analysis of recent demographic and health surveys from 36 countries
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804632/
https://www.ncbi.nlm.nih.gov/pubmed/35105635
http://dx.doi.org/10.1136/bmjopen-2021-054397
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