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Modeling individual health care expenditures in China: Evidence to assist payment reform in public insurance

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  • Julie Shi
  • Yi Yao
  • Gordon Liu

Abstract

Reforming the payment system of public health insurance from fee‐for‐service to more efficient alternative schemes has become an urgent policy issue in developing countries. Using a large sample of administrative data drawn from China, we examine a variety of econometric models for predicting the medical expenditures of individuals. We show that the standard ordinary least squares model performs relatively well compared with other models. We then propose two alternative payment schemes on risk‐adjusted capitation. The first is a prospective capitation model and the second incorporates both prospective and retrospective features. We simulate the corresponding payments based on model predictions and evaluate the payment/cost ratios for health care providers. The results show that the prospective capitation method generates smaller financial fluctuation, suggesting that policymakers may prefer this method to achieve a smooth transition.

Suggested Citation

  • Julie Shi & Yi Yao & Gordon Liu, 2018. "Modeling individual health care expenditures in China: Evidence to assist payment reform in public insurance," Health Economics, John Wiley & Sons, Ltd., vol. 27(12), pages 1945-1962, December.
  • Handle: RePEc:wly:hlthec:v:27:y:2018:i:12:p:1945-1962
    DOI: 10.1002/hec.3812
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    as
    1. Buchner, Florian & Goepffarth, Dirk & Wasem, Juergen, 2013. "The new risk adjustment formula in Germany: Implementation and first experiences," Health Policy, Elsevier, vol. 109(3), pages 253-262.
    2. Andrew M. Jones & James Lomas & Nigel Rice, 2014. "Applying Beta‐Type Size Distributions To Healthcare Cost Regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(4), pages 649-670, June.
    3. Mullahy, John, 1998. "Much ado about two: reconsidering retransformation and the two-part model in health econometrics," Journal of Health Economics, Elsevier, vol. 17(3), pages 247-281, June.
    4. John Mullahy, 1998. "Much Ado About Two: Reconsidering Retransformation and the Two-Part Model in Health Economics," NBER Technical Working Papers 0228, National Bureau of Economic Research, Inc.
    5. Eric Schone & Randall S. Brown, 2013. "Risk Adjustment: What is the Current State of the Art, and How Can it Be Improved?," Mathematica Policy Research Reports 498be6c41a5249ac8b41bb2d8, Mathematica Policy Research.
    6. Randall P. Ellis & Denzil G. Fiebig & Meliyanni Johar & Glenn Jones & Elizabeth Savage, 2013. "Explaining Health Care Expenditure Variation: Large‐Sample Evidence Using Linked Survey And Health Administrative Data," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1093-1110, September.
    7. Jones, A. M. & Lomas, J. & Moore, P. & Rice, N., 2013. "A quasi-Monte Carlo comparison of developments in parametric and semi-parametric regression methods for heavy tailed and non-normal data: with an application to healthcare costs," Health, Econometrics and Data Group (HEDG) Working Papers 13/30, HEDG, c/o Department of Economics, University of York.
    8. Jay Pan & Gordon G. Liu, 2012. "The Determinants Of Chinese Provincial Government Health Expenditures: Evidence From 2002–2006 Data," Health Economics, John Wiley & Sons, Ltd., vol. 21(7), pages 757-777, July.
    9. repec:mpr:mprres:7914 is not listed on IDEAS
    10. Ma, Ching-to Albert, 1994. "Health Care Payment Systems: Cost and Quality Incentives," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 3(1), pages 93-112, Spring.
    11. Karen Eggleston & Li Ling & Meng Qingyue & Magnus Lindelow & Adam Wagstaff, 2008. "Health service delivery in China: a literature review," Health Economics, John Wiley & Sons, Ltd., vol. 17(2), pages 149-165, February.
    12. Andrew M. Jones & James Lomas & Peter T. Moore & Nigel Rice, 2016. "A quasi-Monte-Carlo comparison of parametric and semiparametric regression methods for heavy-tailed and non-normal data: an application to healthcare costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(4), pages 951-974, October.
    13. Michael Geruso & Timothy Layton, 2020. "Upcoding: Evidence from Medicare on Squishy Risk Adjustment," Journal of Political Economy, University of Chicago Press, vol. 128(3), pages 984-1026.
    14. repec:mpr:mprres:7915 is not listed on IDEAS
    15. McGuire, Thomas G. & Glazer, Jacob & Newhouse, Joseph P. & Normand, Sharon-Lise & Shi, Julie & Sinaiko, Anna D. & Zuvekas, Samuel H., 2013. "Integrating risk adjustment and enrollee premiums in health plan payment," Journal of Health Economics, Elsevier, vol. 32(6), pages 1263-1277.
    16. Eric Schone & Randy Brown, 2013. "Risk Adjustment: What Is the Current State of the Art and How Can it Be Improved?," Mathematica Policy Research Reports 8a01850f06aa4a78968026bcb, Mathematica Policy Research.
    17. Baoping Shang & Dana Goldman, 2008. "Does age or life expectancy better predict health care expenditures?," Health Economics, John Wiley & Sons, Ltd., vol. 17(4), pages 487-501, April.
    18. Buntin, Melinda Beeuwkes & Zaslavsky, Alan M., 2004. "Too much ado about two-part models and transformation?: Comparing methods of modeling Medicare expenditures," Journal of Health Economics, Elsevier, vol. 23(3), pages 525-542, May.
    19. Jeremiah Hurley & G. Emmanuel Guindon & Vicki Rynard & Steve Morgan, 2008. "Publicly funded medical savings accounts: expenditure and distributional impacts in Ontario, Canada," Health Economics, John Wiley & Sons, Ltd., vol. 17(10), pages 1129-1151, October.
    20. repec:mpr:mprres:7951 is not listed on IDEAS
    21. Steven C. Hill & G. Edward Miller, 2010. "Health expenditure estimation and functional form: applications of the generalized gamma and extended estimating equations models," Health Economics, John Wiley & Sons, Ltd., vol. 19(5), pages 608-627, May.
    22. Duan, Naihua, et al, 1983. "A Comparison of Alternative Models for the Demand for Medical Care," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 115-126, April.
    23. Ellis, Randall P. & McGuire, Thomas G., 1986. "Provider behavior under prospective reimbursement : Cost sharing and supply," Journal of Health Economics, Elsevier, vol. 5(2), pages 129-151, June.
    24. Eric Schone & Randall Brown & Sarah Goodell, 2013. "Risk Adjustment What is the Current State of the Art and How Can it Be Improved," Mathematica Policy Research Reports 7398914a13d64be2b6a470d67, Mathematica Policy Research.
    25. Di Matteo, Livio & Di Matteo, Rosanna, 1998. "Evidence on the determinants of Canadian provincial government health expenditures: 1965-1991," Journal of Health Economics, Elsevier, vol. 17(2), pages 211-228, April.
    26. Gao, Chen & Xu, Fei & Liu, Gordon G., 2014. "Payment reform and changes in health care in China," Social Science & Medicine, Elsevier, vol. 111(C), pages 10-16.
    27. Borislava Mihaylova & Andrew Briggs & Anthony O'Hagan & Simon G. Thompson, 2011. "Review of statistical methods for analysing healthcare resources and costs," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 897-916, August.
    28. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
    29. repec:bla:jemstr:v:3:y:1994:i:1:p:93-112:a is not listed on IDEAS
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    2. Liu, Kai & Zhang, Qian & He, Alex Jingwei, 2021. "The impacts of multiple healthcare reforms on catastrophic health spending for poor households in China," Social Science & Medicine, Elsevier, vol. 285(C).

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