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      Utilisation of eight or more antenatal care visits and its associated socio-economic-related inequalities in sub-Saharan Africa: A decomposition analysis

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          Abstract

          Introduction

          Inadequate utilisation of maternal healthcare services, particularly antenatal care (ANC), poses a challenge in sub-Saharan Africa (SSA). There is a dearth of regional studies that address the socio-economic disparities in the use of ANC in SSA. Therefore, we examined the wealth and education-based inequalities in the utilisation of ANC services among women in SSA.

          Methods

          We analysed secondary data obtained from the Demographic Health Survey conducted in fifteen countries in SSA. We estimated the degree of wealth and education-related inequalities using concentration curves, concentration indices (CIX), and decomposition analysis, which identified the factors contributing to the disparities in the utilisation of ANC. All the analyses were conducted using Stata version 17.0 (Stata Corporation, College Station, TX, USA).

          Results

          The results revealed a significant socio-economic gap in utilising ANC in SSA. We found positive and statistically significant wealth index-related (CIX = 0.30; p-value < 0.0001) and education-based inequalities (CIX = 0.33; p-value < 0.0001) in eight or more ANC visits. The extent of wealth index-related and education-based inequalities varied across the fifteen countries. The decomposition analysis showed that educational attainment accounted for about 21% of the inequalities in eight or more ANC visits. Wealth index contributed 12.14% of the inequalities in eight or more ANC visits. Our results further showed that women's education, wealth, parity, and place of residence significantly contributed to the utilisation of eight visits or more among women in SSA.

          Conclusion

          This study shows the disparities in ANC coverage, contingent upon wealth index and educational attainment. Our study highlights the importance of adopting a holistic approach involving robust cooperation between healthcare and other social service sectors. It is crucial to prioritise the primary social factors contributing to disparities in the utilisation of ANC services, including women’s education, parity, place of residence, and economic status. Policymakers and stakeholders must prioritise efforts to combat obstacles to healthcare access, including the provision of easily accessible, affordable, and culturally appropriate services.

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          Most cited references57

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          The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies.

          Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study's generalisability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Initiative developed recommendations on what should be included in an accurate and complete report of an observational study. We defined the scope of the recommendations to cover three main study designs: cohort, case-control, and cross-sectional studies. We convened a 2-day workshop in September 2004, with methodologists, researchers, and journal editors to draft a checklist of items. This list was subsequently revised during several meetings of the coordinating group and in e-mail discussions with the larger group of STROBE contributors, taking into account empirical evidence and methodological considerations. The workshop and the subsequent iterative process of consultation and revision resulted in a checklist of 22 items (the STROBE Statement) that relate to the title, abstract, introduction, methods, results, and discussion sections of articles. 18 items are common to all three study designs and four are specific for cohort, case-control, or cross-sectional studies. A detailed Explanation and Elaboration document is published separately and is freely available on the Web sites of PLoS Medicine, Annals of Internal Medicine, and Epidemiology. We hope that the STROBE Statement will contribute to improving the quality of reporting of observational studies.
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            Determinants of antenatal care utilisation in sub-Saharan Africa: a systematic review

            Objectives To identify the determinants of antenatal care (ANC) utilisation in sub-Saharan Africa. Design Systematic review. Data sources Databases searched were PubMed, OVID, EMBASE, CINAHL and Web of Science. Eligibility criteria Primary studies reporting on determinants of ANC utilisation following multivariate analysis, conducted in sub-Saharan Africa and published in English language between 2008 and 2018. Data extraction and synthesis A data extraction form was used to extract the following information: name of first author, year of publication, study location, study design, study subjects, sample size and determinants. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist for reporting a systematic review or meta-analysis protocol was used to guide the screening and eligibility of the studies. The Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies was used to assess the quality of the studies while the Andersen framework was used to report findings. Results 74 studies that met the inclusion criteria were fully assessed. Most studies identified socioeconomic status, urban residence, older/increasing age, low parity, being educated and having an educated partner, being employed, being married and Christian religion as predictors of ANC attendance and timeliness. Awareness of danger signs, timing and adequate number of antenatal visits, exposure to mass media and good attitude towards ANC utilisation made attendance and initiation of ANC in first trimester more likely. Having an unplanned pregnancy, previous pregnancy complications, poor autonomy, lack of husband’s support, increased distance to health facility, not having health insurance and high cost of services negatively impacted the overall uptake, timing and frequency of antenatal visits. Conclusion A variety of predisposing, enabling and need factors affect ANC utilisation in sub-Saharan Africa. Intersectoral collaboration to promote female education and empowerment, improve geographical access and strengthened implementation of ANC policies with active community participation are recommended.
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              Determinants of use of maternal health services in Nigeria - looking beyond individual and household factors

              Background Utilization of maternal health services is associated with improved maternal and neonatal health outcomes. Considering global and national interests in the Millennium Development Goal and Nigeria's high level of maternal mortality, understanding the factors affecting maternal health use is crucial. Studies on the use of maternal care services have largely overlooked community and other contextual factors. This study examined the determinants of maternal services utilization in Nigeria, with a focus on individual, household, community and state-level factors. Methods Data from the 2005 National HIV/AIDS and Reproductive Health Survey - an interviewer-administered nationally representative survey - were analyzed to identify individual, household and community factors that were significantly associated with utilization of maternal care services among 2148 women who had a baby during the five years preceding the survey. In view of the nested nature of the data, we used multilevel analytic methods and assessed state-level random effects. Results Approximately three-fifths (60.3%) of the mothers used antenatal services at least once during their most recent pregnancy, while 43.5% had skilled attendants at delivery and 41.2% received postnatal care. There are commonalities and differences in the predictors of the three indicators of maternal health service utilization. Education is the only individual-level variable that is consistently a significant predictor of service utilization, while socio-economic level is a consistent significant predictor at the household level. At the community level, urban residence and community media saturation are consistently strong predictors. In contrast, some factors are significant in predicting one or more of the indicators of use but not for all. These inconsistent predictors include some individual level variables (the woman's age at the birth of the last child, ethnicity, the notion of ideal family size, and approval of family planning), a community-level variable (prevalence of the small family norm in the community), and a state-level variable (ratio of PHC to the population). Conclusion Factors influencing maternal health services utilization operate at various levels - individual, household, community and state. Depending on the indicator of maternal health services, the relevant determinants vary. Effective interventions to promote maternal health service utilization should target the underlying individual, household, community and policy-level factors. The interventions should reflect the relative roles of the various underlying factors.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: InvestigationRole: MethodologyRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: InvestigationRole: MethodologyRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: InvestigationRole: MethodologyRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS One
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                25 March 2025
                2025
                : 20
                : 3
                : e0312412
                Affiliations
                [1 ] School of Population Health, University of New South Wales, Sydney, New South Wales, Australia
                [2 ] Department of Family and Community Health, Fred N. Binka School of Public Health, University of Health and Allied Sciences, Hohoe, Ghana
                [3 ] Department of Biological Sciences, School of Basic Sciences, Njala University, PMB, Freetown, Sierra Leone
                [4 ] Rural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia
                [5 ] Cape Coast Nursing and Midwifery Training College, Cape Coast, Ghana
                [6 ] Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Bandung, West Java, Indonesia
                [7 ] REMS Consultancy Services Limited, Sekondi-Takoradi, Western Region, Ghana
                [8 ] Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
                VART Consulting PVT LTD, INDIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-3498-2909
                https://orcid.org/0000-0002-0226-841X
                https://orcid.org/0000-0002-4625-4861
                Article
                PONE-D-24-13005
                10.1371/journal.pone.0312412
                11936203
                40131866
                383dfbb4-099b-4265-bd7e-8af87d6b689b
                © 2025 Aboagye et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 8 April 2024
                : 5 October 2024
                Page count
                Figures: 6, Tables: 4, Pages: 23
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Antenatal Care
                Social Sciences
                Sociology
                Education
                Educational Attainment
                Medicine and Health Sciences
                Health Care
                Medical Services
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Social Sciences
                Economics
                Health Economics
                Health Insurance
                Medicine and Health Sciences
                Health Care
                Health Economics
                Health Insurance
                Earth Sciences
                Geography
                Geographic Areas
                Rural Areas
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Pregnancy
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Pregnancy
                Medicine and Health Sciences
                Women's Health
                Maternal Health
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