IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v291y2021ics0277953621007887.html
   My bibliography  Save this article

Payment mechanism and hospital admission: New evidence from Thailand healthcare reform

Author

Listed:
  • Damrongplasit, Kannika
  • Atalay, Kadir

Abstract

In 2007, Thailand's Civil Servant Medical Benefit Scheme (CSMBS), one of the three main public health insurers, adopted a new payment mechanism for hospital admission. There has been a shift from fee-for-service toward Diagnostic Related Group (DRG)-based payment that transfers financial risk from the government to health care providers. This study investigates the effects of this policy change on hospital admission, frequency of admission, length of stay (LOS), type of hospital admitted, and out-of-pocket (OOP) inpatient medical expenditure. By employing nationally representative micro-level data (Health and Welfare surveys) and difference-in-difference approach, this study finds a 1 percentage point decline in hospitalization, a 10% higher chance of admission at community hospitals (the lowest level inpatient public health care facility), and a 7% less chance of admission at higher level public health care facilities like general hospitals. No significant change was observed in LOS, frequency of admission, or OOP inpatient medical expenditure associated with the post-2007 payment mechanism change. Our results emphasize the effectiveness of a close-ended payment mechanism for health care in developing countries. This study also adds to the limited literature on using micro-level data to investigate payment mechanism change in the context of low- and middle-income countries.

Suggested Citation

  • Damrongplasit, Kannika & Atalay, Kadir, 2021. "Payment mechanism and hospital admission: New evidence from Thailand healthcare reform," Social Science & Medicine, Elsevier, vol. 291(C).
  • Handle: RePEc:eee:socmed:v:291:y:2021:i:c:s0277953621007887
    DOI: 10.1016/j.socscimed.2021.114456
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953621007887
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2021.114456?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cheng, Shou-Hsia & Chen, Chi-Chen & Tsai, Shu-Ling, 2012. "The impacts of DRG-based payments on health care provider behaviors under a universal coverage system: A population-based study," Health Policy, Elsevier, vol. 107(2), pages 202-208.
    2. Annear, Peter Leslie & Kwon, Soonman & Lorenzoni, Luca & Duckett, Stephen & Huntington, Dale & Langenbrunner, John C. & Murakami, Yuki & Shon, Changwoo & Xu, Ke, 2018. "Pathways to DRG-based hospital payment systems in Japan, Korea, and Thailand," Health Policy, Elsevier, vol. 122(7), pages 707-713.
    3. Sood, Neeraj & Huckfeldt, Peter J. & Grabowski, David C. & Newhouse, Joseph P. & Escarce, José J., 2013. "The effect of prospective payment on admission and treatment policy: Evidence from inpatient rehabilitation facilities," Journal of Health Economics, Elsevier, vol. 32(5), pages 965-979.
    4. Jonathan Gruber & Nathaniel Hendren & Robert M. Townsend, 2014. "The Great Equalizer: Health Care Access and Infant Mortality in Thailand," American Economic Journal: Applied Economics, American Economic Association, vol. 6(1), pages 91-107, January.
    5. Kannika Damrongplasit & Glenn Melnick, 2015. "Funding, Coverage, and Access Under Thailand’s Universal Health Insurance Program: An Update After Ten Years," Applied Health Economics and Health Policy, Springer, vol. 13(2), pages 157-166, April.
    6. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    7. Moreno-Serra, Rodrigo & Wagstaff, Adam, 2010. "System-wide impacts of hospital payment reforms: Evidence from Central and Eastern Europe and Central Asia," Journal of Health Economics, Elsevier, vol. 29(4), pages 585-602, July.
    8. Damrongplasit, Kannika & Atalay, Kadir, 2020. "Billing system and health care utilization: Evidence from Thailand," Journal of Health Economics, Elsevier, vol. 73(C).
    9. Gary Solon & Steven J. Haider & Jeffrey M. Wooldridge, 2015. "What Are We Weighting For?," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 301-316.
    10. Meng, Zhaolin & Hui, Wen & Cai, Yuanyi & Liu, Jiazhou & Wu, Huazhang, 2020. "The effects of DRGs-based payment compared with cost-based payment on inpatient healthcare utilization: A systematic review and meta-analysis," Health Policy, Elsevier, vol. 124(4), pages 359-367.
    11. Wagstaff, Adam & Yu, Shengchao, 2007. "Do health sector reforms have their intended impacts?: The World Bank's Health VIII project in Gansu province, China," Journal of Health Economics, Elsevier, vol. 26(3), pages 505-535, May.
    12. Jiale Zhang, 2010. "The impact of a diagnosis-related group-based prospective payment experiment: the experience of Shanghai," Applied Economics Letters, Taylor & Francis Journals, vol. 17(18), pages 1797-1803.
    13. Ellis, Randall P. & McGuire, Thomas G., 1996. "Hospital response to prospective payment: Moral hazard, selection, and practice-style effects," Journal of Health Economics, Elsevier, vol. 15(3), pages 257-277, June.
    14. Kim, Seung Ju & Han, Kyu-Tae & Kim, Sun Jung & Park, Eun-Cheol & Park, Hye Ki, 2016. "Impact of a diagnosis-related group payment system on cesarean section in Korea," Health Policy, Elsevier, vol. 120(6), pages 596-603.
    15. Hodgkin, Dominic & McGuire, Thomas G., 1994. "Payment levels and hospital response to prospective payment," Journal of Health Economics, Elsevier, vol. 13(1), pages 1-29, March.
    16. Caryn Bredenkamp & Sarah Bales & Kristiina Kahur, 2020. "Transition to Diagnosis-Related Group Payments for Health," World Bank Publications - Books, The World Bank Group, number 33034.
    17. Jian, Weiyan & Lu, Ming & Liu, Guofeng & Chan, Kit Yee & Poon, Adrienne N., 2019. "Beijing's diagnosis-related group payment reform pilot: Impact on quality of acute myocardial infarction care," Social Science & Medicine, Elsevier, vol. 243(C).
    18. Hamada, Hironori & Sekimoto, Miho & Imanaka, Yuichi, 2012. "Effects of the per diem prospective payment system with DRG-like grouping system (DPC/PDPS) on resource usage and healthcare quality in Japan," Health Policy, Elsevier, vol. 107(2), pages 194-201.
    19. Gebel, Michael & Voßemer, Jonas, 2014. "The impact of employment transitions on health in Germany. A difference-in-differences propensity score matching approach," Social Science & Medicine, Elsevier, vol. 108(C), pages 128-136.
    20. Winnie Yip & Karen Eggleston, 2001. "Provider payment reform in China: the case of hospital reimbursement in Hainan province," Health Economics, John Wiley & Sons, Ltd., vol. 10(4), pages 325-339, June.
    21. Limwattananon, Supon & Neelsen, Sven & O'Donnell, Owen & Prakongsai, Phusit & Tangcharoensathien, Viroj & van Doorslaer, Eddy & Vongmongkol, Vuthiphan, 2015. "Universal coverage with supply-side reform: The impact on medical expenditure risk and utilization in Thailand," Journal of Public Economics, Elsevier, vol. 121(C), pages 79-94.
    Full references (including those not matched with items on IDEAS)

    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. Meng, Zhaolin & Hui, Wen & Cai, Yuanyi & Liu, Jiazhou & Wu, Huazhang, 2020. "The effects of DRGs-based payment compared with cost-based payment on inpatient healthcare utilization: A systematic review and meta-analysis," Health Policy, Elsevier, vol. 124(4), pages 359-367.
    2. Pott, Clara & Stargardt, Tom & Frey, Simon, 2023. "Does prospective payment influence quality of care? A systematic review of the literature," Social Science & Medicine, Elsevier, vol. 323(C).
    3. Eberhard Feess & Helge Müller & Ansgar Wohlschlegel, 2019. "Reimbursement schemes for hospitals: the impact of case and firm characteristics," Applied Economics, Taylor & Francis Journals, vol. 51(15), pages 1647-1665, March.
    4. Damrongplasit, Kannika & Atalay, Kadir, 2020. "Billing system and health care utilization: Evidence from Thailand," Journal of Health Economics, Elsevier, vol. 73(C).
    5. Wu, Jing & He, Xiaoning & Feng, Xing Lin, 2022. "Can case-based payment contain healthcare costs? - A curious case from China," Social Science & Medicine, Elsevier, vol. 312(C).
    6. Chien, Ling-Chen & Chou, Yiing-Jenq & Huang, Yu-Chin & Shen, Yi-Jung & Huang, Nicole, 2020. "Reducing low value services in surgical inpatients in Taiwan: Does diagnosis-related group payment work?," Health Policy, Elsevier, vol. 124(1), pages 89-96.
    7. Galina Besstremyannaya, 2014. "The adverse effects of value-based purchasing in health care: dynamic quantile regression with endogeneity," Discussion Papers 14-006, Stanford Institute for Economic Policy Research.
    8. Cheng, Shou-Hsia & Chen, Chi-Chen & Tsai, Shu-Ling, 2012. "The impacts of DRG-based payments on health care provider behaviors under a universal coverage system: A population-based study," Health Policy, Elsevier, vol. 107(2), pages 202-208.
    9. Galina Besstremyannaya, 2015. "The adverse effects of incentives regulation in health care: a comparative analysis with the U.S. and Japanese hospital data," Working Papers w0218, Center for Economic and Financial Research (CEFIR).
    10. Galina Besstremyannaya, 2015. "The adverse effects of incentives regulation in health care: a comparative analysis with the U.S. and Japanese hospital data," Working Papers w0218, New Economic School (NES).
    11. Neelsen, Sven & Limwattananon, Supon & O'Donnell, Owen & van Doorslaer, Eddy, 2019. "Universal health coverage: A (social insurance) job half done?," World Development, Elsevier, vol. 113(C), pages 246-258.
    12. Fengrong Liu & Jiayu Chen & Chaozhu Li & Fenghui Xu, 2023. "Cost Sharing and Cost Shifting Mechanisms under a per Diem Payment System in a County of China," IJERPH, MDPI, vol. 20(3), pages 1-12, January.
    13. Huckfeldt, Peter J. & Sood, Neeraj & Escarce, José J. & Grabowski, David C. & Newhouse, Joseph P., 2014. "Effects of Medicare payment reform: Evidence from the home health interim and prospective payment systems," Journal of Health Economics, Elsevier, vol. 34(C), pages 1-18.
    14. Li‐Lin Liang, 2015. "Do Diagnosis‐Related Group‐Based Payments Incentivise Hospitals to Adjust Output Mix?," Health Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 454-469, April.
    15. Lai, Yi & Fu, Hongqiao & Li, Ling & Yip, Winnie, 2022. "Hospital response to a case-based payment scheme under regional global budget: The case of Guangzhou in China," Social Science & Medicine, Elsevier, vol. 292(C).
    16. P. Choné & F. Evain & L. Wilner & E. Yilmaz, 2013. "Introducing activity-based payment in the hospital industry: Evidence from French data," Documents de Travail de l'Insee - INSEE Working Papers g2013-11, Institut National de la Statistique et des Etudes Economiques.
    17. Minh T. Nguyen, 2020. "Re‐examining the effects of public health insurance: The case of nonpoor children in Vietnam," Health Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 294-305, March.
    18. Hao Zhang & Eddy van Doorslaer & Ling Xu & Yaoguang Zhang & Joris van de Klundert, 2019. "Can a results‐based bottom‐up reform improve health system performance? Evidence from the rural health project in China," Health Economics, John Wiley & Sons, Ltd., vol. 28(10), pages 1204-1219, October.
    19. Galina Besstremyannaya, 2016. "Differential Effects of Declining Rates in a Per Diem Payment System," Health Economics, John Wiley & Sons, Ltd., vol. 25(12), pages 1599-1618, December.
    20. Galina Besstremyannaya, 2013. "Heterogeneous hospital response to a per diem prospective payment system," Working Papers w0193, New Economic School (NES).

    More about this item

    Keywords

    Provider payment; DRG-Based payment; Hospital admission; Length of stay; Out-of-pocket expenditure;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private

    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:eee:socmed:v:291:y:2021:i:c:s0277953621007887. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.