Determinants of accessing healthcare in Sub-Saharan Africa: a mixed-effect analysis of recent Demographic and Health Surveys from 36 countries. Issue 1 (31st January 2022)

• Record Type: Journal Article
• Authors: 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
• Is Part Of: BMJ open. Volume 12:Issue 1(2022)
• Publication Date: 2022-01-31
• Subjects: quality in health care -- public health -- epidemiology -- international health services; Medicine -- Research -- Periodicals; 610.72
• DOI: 10.1136/bmjopen-2021-054397
• Languages: English
• ISSNs: 2044-6055

Abstract

Abstract : 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.