IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v27y2018i12p1945-1962.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.3812
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hec.3812?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lu, Yi & Shi, Julie & Yang, Wanyu, 2019. "Expenditure response to health insurance policies: Evidence from kinks in rural China," Journal of Public Economics, Elsevier, vol. 178(C).
    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yi Yao & Joan Schmit & Julie Shi, 2019. "Promoting sustainability for micro health insurance: a risk-adjusted subsidy approach for maternal healthcare service," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(3), pages 382-409, July.
    2. Besstremyannaya, Galina, 2017. "Measuring income equity in the demand for healthcare with finite mixture models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 5-29.
    3. Galina Besstremyannaya, 2014. "Heterogeneous effect of coinsurance rate on healthcare costs: generalized finite mixtures and matching estimators," Discussion Papers 14-014, Stanford Institute for Economic Policy Research.
    4. Jones, A. & Lomas, J. & Rice, N., 2014. "Going Beyond the Mean in Healthcare Cost Regressions: a Comparison of Methods for Estimating the Full Conditional Distribution," Health, Econometrics and Data Group (HEDG) Working Papers 14/26, HEDG, c/o Department of Economics, University of York.
    5. Toni Mora & Joan Gil & Antoni Sicras-Mainar, 2012. "The Influence of BMI, Obesity and Overweight on Medical Costs: A Panel Data Approach," Working Papers 2012-08, FEDEA.
    6. Toni Mora & Joan Gil & Antoni Sicras-Mainar, 2012. "The Influence of BMI, Obesity and Overweight on Medical Costs: A Panel Data Approach," Working Papers 2012-08, FEDEA.
    7. Toni Mora & Joan Gil & Antoni Sicras-Mainar, 2015. "The influence of obesity and overweight on medical costs: a panel data perspective," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 161-173, March.
    8. Galina Besstremyannaya, 2012. "Estimating income equity in social health insurance system," Working Papers w0172, New Economic School (NES).
    9. Randall P. Ellis & Pooja G. Mookim, 2013. "K-Fold Cross-Validation is Superior to Split Sample Validation for Risk Adjustment Models," Boston University - Department of Economics - Working Papers Series wp2013-026, Boston University - Department of Economics.
    10. 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.
    11. Andrew M. Jones & James Lomas & Nigel Rice, 2015. "Healthcare Cost Regressions: Going Beyond the Mean to Estimate the Full Distribution," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1192-1212, September.
    12. Jay Dev Dubey, 2021. "Measuring Income Elasticity of Healthcare-Seeking Behavior in India: A Conditional Quantile Regression Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 767-793, December.
    13. Kurt Lavetti & Thomas DeLeire & Nicolas R. Ziebarth, 2023. "How do low‐income enrollees in the Affordable Care Act marketplaces respond to cost‐sharing?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 90(1), pages 155-183, March.
    14. Andreas Bayerstadler & Franz Benstetter & Christian Heumann & Fabian Winter, 2014. "A predictive modeling approach to increasing the economic effectiveness of disease management programs," Health Care Management Science, Springer, vol. 17(3), pages 284-301, September.
    15. Valerie Albouy & Laurent Davezies & Thierry Debrand, 2009. "Dynamic Estimation of Health Expenditure: A new approach for simulating individual expenditure," Working Papers DT20, IRDES institut for research and information in health economics, revised Jan 2009.
    16. Jones, A.M, 2010. "Models For Health Care," Health, Econometrics and Data Group (HEDG) Working Papers 10/01, HEDG, c/o Department of Economics, University of York.
    17. Sungchul Park & Anirban Basu, 2018. "Alternative evaluation metrics for risk adjustment methods," Health Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 984-1010, June.
    18. 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.
    19. 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.
    20. Carole Roan Gresenz & Jeanette A. Rogowski & Jose Escarce, 2004. "Healthcare Markets, the Safety Net and Access to Care Among the Uninsured," NBER Working Papers 10799, National Bureau of Economic Research, Inc.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:hlthec:v:27:y:2018:i:12:p:1945-1962. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.