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

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  • Sayem Ahmed
  • Mohammad Enamul Hoque
  • Abdur Razzaque Sarker
  • Marufa Sultana
  • Ziaul Islam
  • Rukhsana Gazi
  • Jahangir A M Khan

Abstract

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.

Suggested Citation

  • Sayem Ahmed & Mohammad Enamul Hoque & Abdur Razzaque Sarker & Marufa Sultana & Ziaul Islam & Rukhsana Gazi & Jahangir A M Khan, 2016. "Willingness-to-Pay for Community-Based Health Insurance among Informal Workers in Urban Bangladesh," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-16, February.
  • Handle: RePEc:plo:pone00:0148211
    DOI: 10.1371/journal.pone.0148211
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    1. Hsiao, William C. & Yip, Winnie, 2024. "Financing and provision of healthcare for two billion people in low-income nations: Is the cooperative healthcare model a solution?," Social Science & Medicine, Elsevier, vol. 345(C).
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    3. David Mark Dror, 2018. "Systematic Review of Willingness to Pay for Health Insurance in Low and Middle Income Countries," World Scientific Book Chapters, in: Financing Micro Health Insurance Theory, Methods and Evidence, chapter 8, pages 151-168, World Scientific Publishing Co. Pte. Ltd..
    4. Meike Will & Jürgen Groeneveld & Karin Frank & Birgit Müller, 2021. "Informal risk-sharing between smallholders may be threatened by formal insurance: Lessons from a stylized agent-based model," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-18, March.
    5. Sayem Ahmed & Abdur Razzaque Sarker & Marufa Sultana & Sanchita Chakrovorty & Mohammad Wahid Ahmed & Farzana Dorin & Andrew J Mirelman & Ziaul Islam & Mohammad Hafizur Rahman & Louis W Niessen & Clas , 2018. "The impact of community-based health insurance on the utilization of medically trained healthcare providers among informal workers in Bangladesh," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-16, July.
    6. Qun Wang & Yi Zhou & Xinrui Ding & Xiaohua Ying, 2017. "Demand for Long-Term Care Insurance in China," IJERPH, MDPI, vol. 15(1), pages 1-15, December.
    7. Lazarus MUCHABAIWA & Lloyd CHIGUSIWA & Samuel BINDU & Victoria MUDAVANHU & David DAMIYANO & Bongani Edwin MUSHANYURI, 2017. "Feasibility and Sustainability of Community Based Health Insurance in Rural Areas Case Study of Musana, Zimbabwe," Expert Journal of Finance, Sprint Investify, vol. 5, pages 73-85.
    8. Diesty Anita Nugraheni & Satibi Satibi & Susi Ari Kristina & Diah Ayu Puspandari, 2022. "Factors Associated with Willingness to Pay for Cost-Sharing under Universal Health Coverage Scheme in Yogyakarta, Indonesia: A Cross-Sectional Survey," IJERPH, MDPI, vol. 19(22), pages 1-18, November.
    9. Dawit Nageso & Kebede Tefera & Keneni Gutema, 2020. "Enrollment in community based health insurance program and the associated factors among households in Boricha district, Sidama Zone, Southern Ethiopia; a cross-sectional study," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-14, June.
    10. Muttaqien Muttaqien & Hermawati Setiyaningsih & Vini Aristianti & Harry Laurence Selby Coleman & Muhammad Syamsu Hidayat & Erzan Dhanalvin & Dedy Revelino Siregar & Ali Ghufron Mukti & Maarten Olivier, 2021. "Why did informal sector workers stop paying for health insurance in Indonesia? Exploring enrollees’ ability and willingness to pay," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-19, June.
    11. Tsvetkova, Liudmila & Okhrimenko, Igor & Belousova, Tamara & Khuzhamov, Leonid, 2022. "Relationship and mutual influence between poverty and insurance in a developing insurance market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 36(C).
    12. Yewande Kofoworola Ogundeji & Babatunde Akomolafe & Kelechi Ohiri & Nuhu Natie Butawa, 2019. "Factors influencing willingness and ability to pay for social health insurance in Nigeria," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-10, August.
    13. Abdullah Al Mamun & Muhammad Khalilur Rahman & Uma Thevi Munikrishnan & P. Yukthamarani Permarupan, 2021. "Predicting the Intention and Purchase of Health Insurance Among Malaysian Working Adults," SAGE Open, , vol. 11(4), pages 21582440211, November.
    14. Gabriella Conti & Rita Ginja, Renata Narita, 2017. "Non-Contributory Health Insurance and Household Labor Supply: Evidence from Mexico," Working Papers, Department of Economics 2017_17, University of São Paulo (FEA-USP).
    15. Thiptaiya Sydavong & Daisaku Goto & Keisuke Kawata & Shinji Kaneko & Masaru Ichihashi, 2019. "Potential demand for voluntary community-based health insurance improvement in rural Lao People’s Democratic Republic: A randomized conjoint experiment," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-21, January.
    16. Meseret Belete Fite & Kedir Teji Roba & Bedasa Taye Merga & Belay Negash Tefera & Gemechu Ayela Beha & Temesgen Tafesse Gurmessa, 2021. "Factors associated with enrollment for community-based health insurance scheme in Western Ethiopia: Case-control study," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-10, June.
    17. Yasuharu Shimamura & Midori Matsushima & Hiroyuki Yamada & Minh Tam Nguyen, 2018. "Willingness-to-Pay for Family-Based Health Insurance: Findings From Household And Health Facility Surveys in Central Vietnam," Global Journal of Health Science, Canadian Center of Science and Education, vol. 10(7), pages 1-24, July.
    18. Rabbani, Atonu & Mehareen, Jeenat & Chowdhury, Imran Ahmed & Sarker, Malabika, 2022. "Mandatory employer-sponsored health financing scheme for semiformal workers in Bangladesh: An experimental assessment," Social Science & Medicine, Elsevier, vol. 292(C).

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