IDEAS home Printed from https://ideas.repec.org/a/spr/eujhec/v25y2024i6d10.1007_s10198-023-01638-y.html
   My bibliography  Save this article

New evidence on supplier-induced demand in China’s public tertiary hospitals: is the cost of hospitalization higher in the off-season?

Author

Listed:
  • Chi Shen

    (Xi’an Jiaotong University)

  • Qiwei Deng

    (Health Science Center, Xi’an Jiaotong University)

  • Sha Lai

    (Xi’an Jiaotong University)

  • Liu Yang

    (Center of Health Information of Shaanxi Province)

  • Dantong Zhao

    (Xi’an Jiaotong University)

  • Yaxin Zhao

    (Health Science Center, Xi’an Jiaotong University)

  • Zhongliang Zhou

    (Xi’an Jiaotong University)

Abstract

Supplier-induced demand (SID) is a long-standing concern in health economics and health system studies; however, empirical evidence on SID—critical to the development of health policy—is difficult to obtain, especially from China. This study, therefore, aims to add new evidence on SID in China’s public tertiary hospitals and facilitates the development of evidence-based health policies in China and other countries with similar healthcare systems. For this study, we used patient-level electronic medical records (EMRs) collected from the information systems of tertiary hospitals in a western province in China. From 11 tertiary hospitals, we collected 274,811 hospitalization records dated between 15 February and 30 November 2019. Total expenditure on hospitalization and length of admission of each patient were the primary metrics for measuring SID. We constructed a character indicator to measure the high-season or off-season status of hospitals, and log-linear estimations were applied to estimate the “off-season effect” on hospitalized expenditures and length of admission. We find that the cost of hospitalization is indeed higher in the off-season in China’s public tertiary hospitals; specifically, expenditures for patients admitted in the off-season increased by an average of 5.3–7.9% compared to patients admitted in the peak season, while the length of admission in the hospital increased by an average of 6.8% to 10.2%. We also checked the robustness of our findings by performing subgroup analyses of EMRs in the city-level hospitals and surgical group. We name this phenomenon the “hospital off-season effect” and suggest that the main reason for it is inappropriate financial incentives combined with a Fee-For-Services payment method. We suggest that China should work to reform inappropriate financial incentives in public hospitals to eliminate SID by changing its payment and financing compensation system.

Suggested Citation

  • Chi Shen & Qiwei Deng & Sha Lai & Liu Yang & Dantong Zhao & Yaxin Zhao & Zhongliang Zhou, 2024. "New evidence on supplier-induced demand in China’s public tertiary hospitals: is the cost of hospitalization higher in the off-season?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(6), pages 951-962, August.
  • Handle: RePEc:spr:eujhec:v:25:y:2024:i:6:d:10.1007_s10198-023-01638-y
    DOI: 10.1007/s10198-023-01638-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10198-023-01638-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10198-023-01638-y?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. Yang, Wei, 2016. "How does the pharmaceutical industry influence prescription? A qualitative study of provider payment incentives and drug remunerations in hospitals in Shanghai," Health Economics, Policy and Law, Cambridge University Press, vol. 11(4), pages 379-395, October.
    2. Alex Jingwei He & Yumeng Fan & Rui Su, 2022. "Seeking policy solutions in a complex system: experimentalist governance in China’s healthcare reform," Policy Sciences, Springer;Society of Policy Sciences, vol. 55(4), pages 755-776, December.
    3. Ikegami, Kei & Onishi, Ken & Wakamori, Naoki, 2021. "Competition-driven physician-induced demand," Journal of Health Economics, Elsevier, vol. 79(C).
    4. Ya‐Chen Tina Shih & Ming Tai‐Seale, 2012. "Physicians' perception of demand‐induced supply in the information age: a latent class model analysis," Health Economics, John Wiley & Sons, Ltd., vol. 21(3), pages 252-269, March.
    5. Zhou, Mei & Zhao, Shaoyang & Fu, Mingwei, 2021. "Supply-induced demand for medical services under price regulation: Evidence from hospital expansion in China," China Economic Review, Elsevier, vol. 68(C).
    6. Yu, Jianxing & Qiu, Yue & He, Ziying, 2020. "Is universal and uniform health insurance better for China? Evidence from the perspective of supply-induced demand," Health Economics, Policy and Law, Cambridge University Press, vol. 15(1), pages 56-71, January.
    7. Boris Kaiser & Christian Schmid, 2016. "Does Physician Dispensing Increase Drug Expenditures? Empirical Evidence from Switzerland," Health Economics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-90, January.
    8. De Jaegher, Kris & Jegers, Marc, 2000. "A model of physician behaviour with demand inducement," Journal of Health Economics, Elsevier, vol. 19(2), pages 231-258, March.
    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. Wang, Tianyu & Wen, Ke & Gao, Qiuming & Sun, Ruochen, 2023. "Small money, big change: The distributional impact of differentiated doctor's visit fee on healthcare utilization," Social Science & Medicine, Elsevier, vol. 339(C).
    2. Hongshan Yang & Hongtao Yi, 2023. "Frontiers of policy process research in China," Review of Policy Research, Policy Studies Organization, vol. 40(4), pages 484-489, July.
    3. Müller, Tobias & Schmid, Christian & Gerfin, Michael, 2023. "Rents for Pills: Financial incentives and physician behavior," Journal of Health Economics, Elsevier, vol. 87(C).
    4. Bernard Fortin & Nicolas Jacquemet & Bruce Shearer, 2008. "Policy Analysis in Health-Services Market: Accounting for Quality and Quantity," Annals of Economics and Statistics, GENES, issue 91-92, pages 293-319.
    5. Qian Long & Weixi Jiang & Di Dong & Jiaying Chen & Li Xiang & Qiang Li & Fei Huang & Henry Lucas & Shenglan Tang, 2020. "A New Financing Model for Tuberculosis (TB) Care in China: Challenges of Policy Development and Lessons Learned from the Implementation," IJERPH, MDPI, vol. 17(4), pages 1-11, February.
    6. Daniel Burkhard & Christian P. R. Schmid & Kaspar Wüthrich, 2019. "Financial incentives and physician prescription behavior: Evidence from dispensing regulations," Health Economics, John Wiley & Sons, Ltd., vol. 28(9), pages 1114-1129, September.
    7. Alexander Ahammer & Ivan Zilic, 2017. "Do Financial Incentives Alter Physician Prescription Behavior? Evidence from Random Patient-GP Allocations," Working Papers 1701, The Institute of Economics, Zagreb.
    8. Stacherl, Barbara & Renner, Anna-Theresa & Weber, Daniela, 2023. "Financial incentives and antibiotic prescribing patterns: Evidence from dispensing physicians in a public healthcare system," Social Science & Medicine, Elsevier, vol. 321(C).
    9. Maurus Rischatsch & Maria Trottmann, 2009. "Physician dispensing and the choice between generic and brand-name drugs – Do margins affect choice?," SOI - Working Papers 0911, Socioeconomic Institute - University of Zurich.
    10. Kris De Jaegher & Marc Jegers, 2001. "The physician–patient relationship as a game of strategic information transmission," Health Economics, John Wiley & Sons, Ltd., vol. 10(7), pages 651-668, October.
    11. Ben Greiner & Le Zhang & Chengxiang Tang, 2017. "Separation of prescription and treatment in health care markets: A laboratory experiment," Health Economics, John Wiley & Sons, Ltd., vol. 26(S3), pages 21-35, December.
    12. J. G. Smythe, 2002. "Reputation, public information, and physician adoption of an innovation," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 3(2), pages 103-110, June.
    13. Alexander Ahammer & Thomas Schober, 2020. "Exploring variations in health‐care expenditures—What is the role of practice styles?," Health Economics, John Wiley & Sons, Ltd., vol. 29(6), pages 683-699, June.
    14. Luke Connelly & Gianluca Fiorentini & Marica Iommi, 2022. "Supply-side solutions targeting demand-side characteristics: causal effects of a chronic disease management program on adherence and health outcomes," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(7), pages 1203-1220, September.
    15. Boris Kaiser, 2017. "Gender-specific practice styles and ambulatory health care expenditures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(9), pages 1157-1179, December.
    16. Winand Emons, 2013. "Incentive-Compatible Reimbursement Schemes for Physicians," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 169(4), pages 605-620, December.
    17. Leo Turcotte & John Robst & Solomon Polachek, 2006. "Medical interventions among pregnant women in fee-for-service and managed care insurance: a propensity score analysis," Applied Economics, Taylor & Francis Journals, vol. 38(13), pages 1513-1525.
    18. Keon-Hyung Lee & Seunghoo Lim & Jieun Moon, 2022. "The Link Between Hospital Competition and Hospital Behaviors in Korea: Competitive Interorganizational Relations," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(1), pages 1-14, December.
    19. Olivia Bodnar & Hugh Gravelle & Nils Gutacker & Annika Herr, 2024. "Financial incentives and prescribing behavior in primary care," Health Economics, John Wiley & Sons, Ltd., vol. 33(4), pages 696-713, April.
    20. Alex Jingwei He & Yumeng Fan & Rui Su, 2022. "Seeking policy solutions in a complex system: experimentalist governance in China’s healthcare reform," Policy Sciences, Springer;Society of Policy Sciences, vol. 55(4), pages 755-776, December.

    More about this item

    Keywords

    Supplier-induced demand; Hospital off-season effect; Public hospital; China;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General

    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:spr:eujhec:v:25:y:2024:i:6:d:10.1007_s10198-023-01638-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.