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Impact of Medical Debt on the Financial Welfare of Middle- and Low-Income Families across China

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  • Jiajing Li

    (Center for Health Economics Experiment and Public Policy, School of Public Health, Cheeloo College of Medicine, Shandong University, No. 44 Wenhua West Road, Lixia District, Jinan 250012, China)

  • Chen Jiao

    (Center for Health Economics Experiment and Public Policy, School of Public Health, Cheeloo College of Medicine, Shandong University, No. 44 Wenhua West Road, Lixia District, Jinan 250012, China)

  • Stephen Nicholas

    (School of Economics and School of Management, Tianjin Normal University, No. 339 Binshui West Avenue, Tianjin 300387, China
    Guangdong Institute for International Strategies, Guangdong University of Foreign Studies, 2 Baiyun North Avenue, Guangzhou, Guangdong 510420, China
    Top Education Institute, 1 Central Avenue, Australian Technology Park, Eveleigh, Sydney, NSW 2015, Australia
    Newcastle Business School, University of Newcastle, University Drive, Newcastle, NSW 2308, Australia)

  • Jian Wang

    (Dong Fureng Institute of Economics and Social Development, Wuhan University, No. 54 Dongsi Lishi Hutong, Dongcheng District, Beijing 100010, China
    Center for Health Economics and Management, Economics and Management School, Wuhan University, Luojia Hill, Wuhan 430072, China)

  • Gong Chen

    (Institute of Population Research, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, China)

  • Jinghua Chang

    (Institute of Population Research, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, China)

Abstract

Background: Medical debt is a persistent global issue and a crucial and effective indicator of long-term family medical financial burden. This paper fills a research gap on the incidence and causes of medical debt in Chinese low- and middle-income households. Method: Data were obtained from the 2015 China Household Finance Survey, with medical debt measured as borrowings from families, friends and third parties. Tobit regression models were used to analyze the data. The concentration index was employed to measure the extent of socioeconomic inequality in medical debt incidence. Results: We found that 2.42% of middle-income families had medical debt, averaging US$6278.25, or 0.56 times average household yearly income and 3.92% of low-income families had medical debts averaging US$5419.88, which was equivalent to 2.49 times average household yearly income. The concentration index for low and middle-income families’ medical debt was significantly pro-poor. Medical debt impoverished about 10% of all non-poverty households and pushed poverty households deeper into poverty. While catastrophic health expenditure (CHE) was the single most important factor in medical debt, age, education, and health status of householder, hospitalization and types of medical insurance were also significant factors determining medical debt. Conclusions: Using a narrow definition of medical debt, the incidence of medical debt in Chinese low- and middle-income households was relatively low. But, once medical debt happened, it imposed a long-term financial burden on medical indebted families, tipping many low and middle-income households into poverty and imposing on households several years of debt repayments. Further studies need to use broader definitions of medical debt to better assess the long-term financial impact of medical debt on Chinese families. Policy makers need to modify China’s basic medical insurance schemes to manage out-of-pocket, medical debt and CHE and to take account of pre-existing medical debt.

Suggested Citation

  • Jiajing Li & Chen Jiao & Stephen Nicholas & Jian Wang & Gong Chen & Jinghua Chang, 2020. "Impact of Medical Debt on the Financial Welfare of Middle- and Low-Income Families across China," IJERPH, MDPI, vol. 17(12), pages 1-13, June.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:12:p:4597-:d:376718
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    References listed on IDEAS

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    1. Xiaoyun Sun & Sukhan Jackson & Gordon Carmichael & Adrian C. Sleigh, 2009. "Catastrophic medical payment and financial protection in rural China: evidence from the New Cooperative Medical Scheme in Shandong Province," Health Economics, John Wiley & Sons, Ltd., vol. 18(1), pages 103-119, January.
    2. Li Gan & Zhichao Yin & Nan Jia & Shu Xu & Shuang Ma & Lu Zheng, 2014. "Data you need to know about China," Springer Books, Springer, edition 127, number 978-3-642-38151-5, December.
    3. Thompson, Owen, 2017. "The long-term health impacts of Medicaid and CHIP," Journal of Health Economics, Elsevier, vol. 51(C), pages 26-40.
    4. Patrick Richard & Regine Walker & Pierre Alexandre, 2018. "The burden of out of pocket costs and medical debt faced by households with chronic health conditions in the United States," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-13, June.
    5. Amy Finkelstein & Sarah Taubman & Bill Wright & Mira Bernstein & Jonathan Gruber & Joseph P. Newhouse & Heidi Allen & Katherine Baicker, 2012. "The Oregon Health Insurance Experiment: Evidence from the First Year," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1057-1106.
    6. Herman, P.M. & Rissi, J.J. & Walsh, M.E., 2011. "Health insurance status, medical debt, and their impact on access to care in arizona," American Journal of Public Health, American Public Health Association, vol. 101(8), pages 1437-1443.
    7. Patrick Richard, 2016. "The Burden of Medical Debt Faced by Households with Dependent Children in the United States: Implications for the Affordable Care Act of 2010," Journal of Family and Economic Issues, Springer, vol. 37(2), pages 212-225, June.
    8. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    9. Adam Wagstaff, 2005. "The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 429-432, April.
    10. Kakwani, Nanak & Wagstaff, Adam & van Doorslaer, Eddy, 1997. "Socioeconomic inequalities in health: Measurement, computation, and statistical inference," Journal of Econometrics, Elsevier, vol. 77(1), pages 87-103, March.
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