10
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Health insurance coverage and timely antenatal care attendance in sub-Saharan Africa

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction

          Out-of-pocket payments for healthcare remain a significant health financing challenge in sub-Saharan Africa (SSA), preventing women from using maternal health services. There is a paucity of empirical literature on the influence of health insurance coverage on the timeliness of antenatal care (ANC) attendance in low- and middle-income countries. In this study, we examined the association between health insurance coverage and timely ANC attendance among pregnant women in SSA.

          Methods

          Secondary data from Demographic and Health Surveys conducted between 2015 and 2020 in sixteen (16) sub-Saharan African countries with 113,918 women aged 15-49 years were included in the analysis. The outcome variable was the timing of antenatal care (ANC). A multilevel binary logistic regression analysis was carried out to determine the association between health insurance coverage and timely ANC.

          Results

          The overall coverage of health insurance and timely antenatal attendance among pregnant women in SSA were 4.4% and 39.0% respectively. At the country level, the highest coverage of health insurance was found in Burundi (24.3%) and the lowest was in Benin (0.9%). For timely ANC attendance, the highest prevalence was in Liberia (72.4%) and the lowest was in Nigeria (24.2%). The results in the model showed that women who were covered by health insurance were more likely to have timely ANC attendance compared to those who were not covered by health insurance (aOR = 1.21, 95% CI = 1.11-1.31).

          Conclusion

          Our findings show that that being covered under health insurance is associated with higher likelihood of seeking timely ANC attendance. To accelerate progress towards achievement of the Sustainable Development Goal targets by the year 2030, we recommend that governments and health insurance authorities across the sub-Saharan African countries actively implement health insurance policies as well as roll out health educational programmes that facilitate and ensure increased coverage of health insurance.

          Related collections

          Most cited references43

          • Record: found
          • Abstract: found
          • Article: not found
          Is Open Access

          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.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Demographic and health surveys: a profile.

            Demographic and Health Surveys (DHS) are comparable nationally representative household surveys that have been conducted in more than 85 countries worldwide since 1984. The DHS were initially designed to expand on demographic, fertility and family planning data collected in the World Fertility Surveys and Contraceptive Prevalence Surveys, and continue to provide an important resource for the monitoring of vital statistics and population health indicators in low- and middle-income countries. The DHS collect a wide range of objective and self-reported data with a strong focus on indicators of fertility, reproductive health, maternal and child health, mortality, nutrition and self-reported health behaviours among adults. Key advantages of the DHS include high response rates, national coverage, high quality interviewer training, standardized data collection procedures across countries and consistent content over time, allowing comparability across populations cross-sectionally and over time. Data from DHS facilitate epidemiological research focused on monitoring of prevalence, trends and inequalities. A variety of robust observational data analysis methods have been used, including cross-sectional designs, repeated cross-sectional designs, spatial and multilevel analyses, intra-household designs and cross-comparative analyses. In this profile, we present an overview of the DHS along with an introduction to the potential scope for these data in contributing to the field of micro- and macro-epidemiology. DHS datasets are available for researchers through MEASURE DHS at www.measuredhs.com.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Fixed and random effects models: making an informed choice

                Bookmark

                Author and article information

                Contributors
                raboagye18@sph.uhas.edu.gh
                joshuaokyere54@gmail.com
                brightahinkorah@gmail.com
                abdul-aziz.seidu@stu.ucc.edu.gh
                hamu@uhas.edu.gh
                sanni.yaya@uOttawa.ca
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                11 February 2022
                11 February 2022
                2022
                : 22
                : 181
                Affiliations
                [1 ]GRID grid.449729.5, ISNI 0000 0004 7707 5975, Department of Family and Community Health, School of Public Health, , University of Health and Allied Sciences, ; Ho, Ghana
                [2 ]GRID grid.413081.f, ISNI 0000 0001 2322 8567, Department of Population and Health, , University of Cape Coast, ; Cape Coast, Ghana
                [3 ]GRID grid.117476.2, ISNI 0000 0004 1936 7611, School of Public Health, Faculty of Health, , University of Technology Sydney, ; Sydney, Australia
                [4 ]GRID grid.511546.2, ISNI 0000 0004 0424 5478, Centre for Gender and Advocacy, , Takoradi Technical University, ; Takoradi, Ghana
                [5 ]GRID grid.511546.2, ISNI 0000 0004 0424 5478, Department of Estate Management, , Takoradi Technical University, ; Takoradi, Ghana
                [6 ]GRID grid.1011.1, ISNI 0000 0004 0474 1797, College of Public Health, Medical and Veterinary Sciences, , James Cook University, ; Townsville, Australia
                [7 ]HaSET Maternal and Child Health Research Program, Shewarobit Field Office, Shewarobit, Ethiopia
                [8 ]GRID grid.449729.5, ISNI 0000 0004 7707 5975, Department of Population and Behavioural Sciences, School of Public Health, , University of Health and Allied Sciences, ; Hohoe, Ghana
                [9 ]GRID grid.28046.38, ISNI 0000 0001 2182 2255, School of International Development and Global Studies, , University of Ottawa, ; Ottawa, Canada
                [10 ]GRID grid.7445.2, ISNI 0000 0001 2113 8111, The George Institute for Global Health, , Imperial College London, ; London, United Kingdom
                Article
                7601
                10.1186/s12913-022-07601-6
                8840787
                35148769
                4402c5c4-056a-4fed-a77d-f16470806d91
                © The Author(s) 2022

                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/. The Creative Commons Public Domain Dedication waiver ( http://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.

                History
                : 9 July 2021
                : 4 February 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Health & Social care
                national health insurance,timely anc,pregnant women,sub-saharan africa
                Health & Social care
                national health insurance, timely anc, pregnant women, sub-saharan africa

                Comments

                Comment on this article