15
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The effect of consensus on demand for voluntary micro health insurance in rural India

      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 study deals with examining factors that catalyze demand for community-based micro health insurance (MHI) schemes. We hypothesize that demand for health insurance is a collective decision in the context of informality and poverty. Our hypothesis challenges the classical theory of demand which posits individual expected diminishing utility. We examine factors beyond the traditional exogenous variables.

          Methods

          This study uses data collected through a household survey conducted among self-help groups in rural India in the states of Uttar Pradesh and Bihar before the implementation of three community-based MHI schemes. Additional information was extracted from the management information system maintained by the schemes. At the first step, we compared the estimated probability of a household joining the scheme (obtained by applying logistic regression) to the actual uptake. In the next step, we analyzed the role of consensus within groups on demand for health insurance (by applying ordinary least square regressions).

          Results

          The results of the logistic regressions indicated that exogenous household characteristics could not explain the probability of joining health insurance. We observed that group consensus on several critical issues, such as the price of the insurance, perceptions about exposure to adverse health events, and perceptions of the quality of service of local health care providers, was the important determinant of demand for insurance.

          Conclusion

          Based on the analysis, we reject the null hypothesis that demand is an individual decision at the household level. The analysis upholds the assumption that demand is created through a process of consensus building on perceptions of risk exposure, welfare gains from the insurance, and quality of local health care provision. Success in catalyzing demand for health insurance in the informal sector depends on encouraging group dialog.

          Related collections

          Most cited references30

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

          The Utility Analysis of Choices Involving Risk

            Bookmark
            • 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

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

              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.
                Bookmark

                Author and article information

                Journal
                Risk Manag Healthc Policy
                Risk Manag Healthc Policy
                Risk Management and Healthcare Policy
                Risk Management and Healthcare Policy
                Dove Medical Press
                1179-1594
                2018
                11 September 2018
                : 11
                : 139-158
                Affiliations
                [1 ]Research Department, Micro Insurance Academy, Garhi, East of Kailash, New Delhi, India, daviddror@ 123456socialre.org
                [2 ]School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, the Netherlands, daviddror@ 123456socialre.org
                [3 ]Centre for Economic Studies and Planning, School of Social Sciences, Jawaharlal Nehru University, New Delhi, India
                Author notes
                Correspondence: David Mark Dror, Micro Insurance Academy, A-153 (Ground Floor), DDA Double Storey Flats, Garhi, East of Kailash, New Delhi 110065, India, Tel +41 78 790 6789, Email daviddror@ 123456socialre.org
                Article
                rmhp-11-139
                10.2147/RMHP.S170299
                6140740
                ff40d8e1-5411-4a99-bd37-94553096e1c3
                © 2018 Dror et al. This work is published and licensed by Dove Medical Press Limited

                The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

                History
                Categories
                Original Research

                Social policy & Welfare
                community-based health insurance,micro insurance,consensus coefficient,consensus building,demand for micro insurance,collective decision

                Comments

                Comment on this article