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      Willingness to pay for Community Health Insurance among taxi drivers in Kampala City, Uganda: a contingent evaluation

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          Abstract

          Background

          Community Health Insurance (CHI) schemes have improved the utilization of health services by reducing out-of-pocket payments (OOP). This study assessed income quintiles for taxi drivers and the minimum amount of premium a driver would be willing to pay for a CHI scheme in Kampala City, Uganda.

          Methods

          A cross-sectional study design using contingent evaluation was employed to gather primary data on willingness to pay (WTP). The respondents were 312 randomly and 9 purposively selected key informants. Qualitative data were analyzed using conceptual content analysis while quantitative data were analyzed using MS Excel 2016 to generate the relationship of socio-demographic variables and WTP.

          Results

          Close to a half (47.9%) of the respondents earn above UGX 500,000 per month (fifth quintile), followed by 24.5% earning a monthly average of UGX 300,001–500,000 and the rest (27.5%) earn less. Households in the fourth and fifth quintiles (38.4% and 20%, respectively) are more willing to join and pay for CHI. A majority of the respondents (29.9%) are willing to pay UGX, 6,001–10,000 while 22.3% are willing to pay between UGX 11,001 and UGX 20,000 and 23.2% reported willing to pay between UGX 20,001 and UGX 50,000 per person per month. Only 18.8% of the respondents recorded WTP at least UGX 5,000 and 5.8% reported being able to pay above UGX 50,000 per month (1 USD=UGX 3,500). Reasons expressed for WTP included perceived benefits such as development of health care infrastructure, risk protection, and reduced household expenditures. Reasons for not willing to pay included corruption, mistrust, inadequate information about the scheme, and low involvement of the members.

          Conclusion

          There is a possibility of embracing the scheme by the taxi drivers and the rest of the informal sector of Uganda if the health sector creates adequate awareness.

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          Most cited references9

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          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.
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            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.
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              Willingness-to-Pay for Community-Based Health Insurance among Informal Workers in Urban Bangladesh

              Introduction Reliance on out-of-pocket payment for healthcare may lead poor households to undertake catastrophic health expenditure, and risk-pooling mechanisms have been recommended to mitigate such burdens for households in Bangladesh. About 88% of the population of Bangladesh depends on work in the informal sector. We aimed to estimate willingness-to-pay (WTP) for CBHI and identify its determinants among three categories of urban informal workers rickshaw-pullers, shopkeepers and restaurant workers. Methods The bidding game version of contingent valuation method was used to estimate weekly WTP. In three urban locations 557 workers were interviewed using a structured questionnaire during 2010 and 2011. Multiple-regression analysis was used to predict WTP by demographic and household characteristics, occupation, education level and past illness. Results WTP for a CBHI scheme was expressed by 86.7% of informal workers. Weekly average WTP was 22.8 BDT [Bangladeshi Taka; 95% confidence interval (CI) 20.9–24.8] or 0.32 USD and varied significantly across occupational groups (p = 0.000) and locations (p = 0.003). WTP was highest among rickshaw-pullers (28.2 BDT or 0.40 USD; 95% CI: 24.7–31.7), followed by restaurant workers (20.4 BDT 0.29 USD; 95% CI: 17.0–23.8) and shopkeepers (19.2 BDT or 0.27 USD; 95% CI: 16.1–22.4). Multiple regression analysis identified monthly income, occupation, geographical location and educational level as the key determinants of WTP. WTP increased 0.196% with each 1% increase in monthly income, and was 26.9% lower among workers with up to a primary level of education versus those with higher than primary, but less than one year of education. Conclusion Informal workers in urban areas thus are willing to pay for CBHI and socioeconomic differences explain the magnitude of WTP. The policy maker might think introducing community-based model including public-community partnership model for healthcare financing of informal workers. Decision making regarding the implementation of such schemes should consider worker location and occupation.
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                Author and article information

                Journal
                Risk Manag Healthc Policy
                Risk Manag Healthc Policy
                RMHP
                rmhp
                Risk Management and Healthcare Policy
                Dove
                1179-1594
                19 July 2019
                2019
                : 12
                : 133-143
                Affiliations
                [1 ]College of Medicine, Health and Life Science, St. Augustine International University , Kampala, Uganda
                [2 ]School of Public Health and Management, International Health Sciences University , Kampala, Uganda
                [3 ]Department of Social Sciences, Ndejje University , Kampala, Uganda
                [4 ]School of Public Health and Management, Clarke International University , Kampala, Uganda
                [5 ]College of Social Sciences, Makerere University , Kampala, Uganda
                [6 ]South Sudan Institute of Pharmacy Technicians , Juba, South Sudan
                Author notes
                Correspondence: Robert BasazaSchool of Postgraduate studies, Research and Innovations, St Augustine International University , Bunga hill, Ggaba road, Bunga, Kampala, UgandaTel +256 70 142 8474Email rbasaza@ 123456gmail.com
                [*]

                These authors contributed equally to this work

                Article
                184872
                10.2147/RMHP.S184872
                6650451
                a4479762-c744-4f9e-a2c4-f07f032e16df
                © 2019 Basaza 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. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 22 August 2018
                : 07 June 2019
                Page count
                Figures: 3, Tables: 6, References: 21, Pages: 11
                Categories
                Original Research

                Social policy & Welfare
                community health insurance,informal sector,willingness to pay,contingent valuation,uganda

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