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

Author

Listed:
  • 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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    4. 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..
    5. 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.
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    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    17. 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.

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