27
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      What Factors Affect Voluntary Uptake of Community-Based Health Insurance Schemes in Low- and Middle-Income Countries? A Systematic Review and Meta-Analysis

      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

          This research article reports on factors influencing initial voluntary uptake of community-based health insurance (CBHI) schemes in low- and middle-income countries (LMIC), and renewal decisions.

          Methods

          Following PRISMA protocol, we conducted a comprehensive search of academic and gray literature, including academic databases in social science, economics and medical sciences (e.g., Econlit, Global health, Medline, Proquest) and other electronic resources (e.g., Eldis and Google scholar). Search strategies were developed using the thesaurus or index terms (e.g., MeSH) specific to the databases, combined with free text terms related to CBHI or health insurance. Searches were conducted from May 2013 to November 2013 in English, French, German, and Spanish. From the initial search yield of 15,770 hits, 54 relevant studies were retained for analysis of factors influencing enrolment and renewal decisions. The quantitative synthesis (informed by meta-analysis) and the qualitative analysis (informed by thematic synthesis) were compared to gain insight for an overall synthesis of findings/statements.

          Results

          Meta-analysis suggests that enrolments in CBHI were positively associated with household income, education and age of the household head (HHH), household size, female-headed household, married HHH and chronic illness episodes in the household. The thematic synthesis suggests the following factors as enablers for enrolment: (a) knowledge and understanding of insurance and CBHI, (b) quality of healthcare, (c) trust in scheme management. Factors found to be barriers to enrolment include: (a) inappropriate benefits package, (b) cultural beliefs, (c) affordability, (d) distance to healthcare facility, (e) lack of adequate legal and policy frameworks to support CBHI, and (f) stringent rules of some CBHI schemes. HHH education, household size and trust in the scheme management were positively associated with member renewal decisions. Other motivators were: (a) knowledge and understanding of insurance and CBHI, (b) healthcare quality, (c) trust in scheme management, and (d) receipt of an insurance payout the previous year. The barriers to renewal decisions were: (a) stringent rules of some CBHI schemes, (b) inadequate legal and policy frameworks to support CBHI and (c) inappropriate benefits package.

          Conclusion and Policy Implications

          The demand-side factors positively affecting enrolment in CBHI include education, age, female household heads, and the socioeconomic status of households. Moreover, when individuals understand how their CBHI functions they are more likely to enroll and when people have a positive claims experience, they are more likely to renew. A higher prevalence of chronic conditions or the perception that healthcare is of good quality and nearby act as factors enhancing enrolment. The perception that services are distant or deficient leads to lower enrolments. The second insight is that trust in the scheme enables enrolment. Thirdly, clarity about the legal or policy framework acts as a factor influencing enrolments. This is significant, as it points to hitherto unpublished evidence that governments can effectively broaden their outreach to grassroots groups that are excluded from social protection by formulating supportive regulatory and policy provisions even if they cannot fund such schemes in full, by leveraging people’s willingness to exercise voluntary and contributory enrolment in a community-based health insurance.

          Related collections

          Most cited references30

          • Record: found
          • Abstract: found
          • Article: not found

          Community-based health insurance in low-income countries: a systematic review of the evidence.

          B Ekman (2004)
          Health policy makers are faced with competing alternatives, and for systems of health care financing. The choice of financing method should mobilize resources for health care and provide financial protection. This review systematically assesses the evidence of the extent to which community-based health insurance is a viable option for low-income countries in mobilizing resources and providing financial protection. The review contributes to the literature on health financing by extending and qualifying existing knowledge. Overall, the evidence base is limited in scope and questionable in quality. There is strong evidence that community-based health insurance provides some financial protection by reducing out-of-pocket spending. There is evidence of moderate strength that such schemes improve cost-recovery. There is weak or no evidence that schemes have an effect on the quality of care or the efficiency with which care is produced. In absolute terms, the effects are small and schemes serve only a limited section of the population. The main policy implication of the review is that these types of community financing arrangements are, at best, complementary to other more effective systems of health financing. To improve reliability and validity of the evidence base, analysts should agree on a more coherent set of outcome indicators and a more consistent assessment of these indicators. Policy makers need to be better informed as to both the costs and the benefits of implementing various financing options. The current evidence base on community-based health insurance is mute on this point.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            A systematic review of factors that affect uptake of community-based health insurance in low-income and middle-income countries

            Background Low-income and middle-income countries (LMICs) have difficulties achieving universal financial protection, which is primordial for universal health coverage. A promising avenue to provide universal financial protection for the informal sector and the rural populace is community-based health insurance (CBHI). We systematically assessed and synthesised factors associated with CBHI enrolment in LMICs. Methods We searched PubMed, Scopus, ERIC, PsychInfo, Africa-Wide Information, Academic Search Premier, Business Source Premier, WHOLIS, CINAHL, Cochrane Library, conference proceedings, and reference lists for eligible studies available by 31 October 2013; regardless of publication status. We included both quantitative and qualitative studies in the review. Results Both quantitative and qualitative studies demonstrated low levels of income and lack of financial resources as major factors affecting enrolment. Also, poor healthcare quality (including stock-outs of drugs and medical supplies, poor healthcare worker attitudes, and long waiting times) was found to be associated with low CBHI coverage. Trust in both the CBHI scheme and healthcare providers were also found to affect enrolment. Educational attainment (less educated are willing to pay less than highly educated), sex (men are willing to pay more than women), age (younger are willing to pay more than older individuals), and household size (larger households are willing to pay more than households with fewer members) also influenced CBHI enrolment. Conclusion In LMICs, while CBHI schemes may be helpful in the short term to address the issue of improving the rural population and informal workers’ access to health services, they still face challenges. Lack of funds, poor quality of care, and lack of trust are major reasons for low CBHI coverage in LMICs. If CBHI schemes are to serve as a means to providing access to health services, at least in the short term, then attention should be paid to the issues that militate against their success. Electronic supplementary material The online version of this article (doi:10.1186/s12913-015-1179-3) contains supplementary material, which is available to authorized users.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Drop-out analysis of community-based health insurance membership at Nouna, Burkina Faso.

              This study aims to identify the reasons why enrolled people decide not to renew their membership in following years. Household survey is used to collect information on the factors influencing dropping out from community-based health insurance (CBI). Information from CBI agency databank is used to describe the general situation of enrolment and drop-out. Since the launch of CBI the enrolment rate has been low ranging from 5.2% to 6.3%. The drop-out rate, however, has been high ranging from 30.9% to 45.7%. It is found, by the multivariate analysis, that female household head, higher age or lower education of a household head, lower number of illness episodes in the past three months, fewer children or elderly in a household, poor perceived health care quality, less seeking care in the past month positively effected on drop-out, increasing the rate. However, the household six-month expenditure and the distance to the contracted health facility did not have the hypothesised sign. In contrast, a higher household expenditure and a shorter distance to the contracted health facility increased the drop-out. High drop-out rates endanger the sustainability of CBI not only because they reduce the size of the insurance pool, but also because they bear a negative impact on further enrolment and drop-out. The drop-out rate in the scheme of the Nouna Health District, Burkina Faso, is very high. The reasons for drop-out may be related to affordability, health-needs and health demand, quality of care, household head and household characteristics. This study represents a valuable attempt towards further increasing the sustainability of CBI schemes, by understanding not what motivates people to first enrol in CBI, but what motivates them to renew membership year after year.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                31 August 2016
                2016
                : 11
                : 8
                : e0160479
                Affiliations
                [1 ]Micro Insurance Academy, New Delhi, India
                [2 ]Erasmus University Rotterdam, Rotterdam, Netherlands
                [3 ]International Centre for Diarrheal Disease Research, Dhaka, Bangladesh
                [4 ]The Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
                [5 ]Peoples Open Access Education Initiative (Peoples-Uni), Delhi, India
                [6 ]International Institute of Health Management Research, Dwarka, Delhi, India
                University of British Columbia, CANADA
                Author notes

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

                • Conceptualization: DMD TPK PP.

                • Data curation: AM PP SASH DJ.

                • Formal analysis: AM PP SASH.

                • Funding acquisition: PP DMD TPK.

                • Investigation: DJ SASH AM PP DMD.

                • Methodology: PP SASH AM TPK.

                • Project administration: PP DMD.

                • Resources: SASH TPK.

                • Software: AM DJ.

                • Supervision: DMD.

                • Validation: TPK DMD.

                • Visualization: AM.

                • Writing - original draft: DMD AM DJ PP.

                • Writing - review & editing: DMD TPK.

                [¤]

                Current address: 86 Okhla Industrial Estate Phase 3, New Delhi 110020, India

                ‡ These authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-8757-4239
                Article
                PONE-D-16-00012
                10.1371/journal.pone.0160479
                5006971
                27579731
                444402f1-3061-4466-9319-09cef81f2471
                © 2016 Dror 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
                : 1 January 2016
                : 20 July 2016
                Page count
                Figures: 11, Tables: 2, Pages: 31
                Funding
                Funded by: International Initiative for Impact Evaluation
                Award ID: SE4/1009
                Grant from 3ie and Grant No. SR4/1009. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Meta-Analysis
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Methods
                Meta-Analysis
                Social Sciences
                Economics
                Health Economics
                Health Insurance
                Medicine and Health Sciences
                Health Care
                Health Economics
                Health Insurance
                Research and Analysis Methods
                Research Design
                Qualitative Studies
                Research and Analysis Methods
                Database and Informatics Methods
                Database Searching
                Social Sciences
                Sociology
                Social Stratification
                People and Places
                Geographical Locations
                Asia
                Social Sciences
                Economics
                Finance
                Research and Analysis Methods
                Research Assessment
                Systematic Reviews
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article