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The pilot of a new patient classification-based payment system in China: The impact on costs, length of stay and quality

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  • Qian, Mengcen
  • Zhang, Xinyu
  • Chen, Yajing
  • Xu, Su
  • Ying, Xiaohua

Abstract

With the urgent need to regulate provider behaviors, China developed a novel patient classification with global budget payment system, expecting to achieve both easy implementation and cost containment. The new system, called “diagnosis-intervention packet (DIP)” payment, is based on a deterministic patient classification approach, which groups patients according to the combination of principal diagnosis ICD-10 (International Classification of Diseases, 10th Revision) codes and procedure ICD-9-CM3 (International Classification of Diseases, 9th Revision, Clinical Modification) codes and links each group to relative historical costs market-wide. This study investigated the impact of the DIP-based payment on inpatient costs, length of stay, and quality of care in the largest DIP pilot city of China. In 2018, the city changed from the “fixed rate per admission with a cap on annual total compensation” policy to DIP with global budget for all insured inpatients. A difference-in-differences approach was employed to identify changes in outcome variables before and after the DIP policy among insured relative to uninsured patients. We found an average of 8.5% (p = 0.000) increase in inpatient costs per case (as intended), trivial changes in length of stay, and a 3.6% (p = 0.046) reduction in postoperative complication rate in response to DIP adoption among patients with high severity. Our findings suggested that the DIP-based payment helped regulate provider behaviors when treating high-risk patients. And the new payment has the potential for rapid rollout in resource-limited areas where lack a uniform coding practice or high-quality historical data.

Suggested Citation

  • Qian, Mengcen & Zhang, Xinyu & Chen, Yajing & Xu, Su & Ying, Xiaohua, 2021. "The pilot of a new patient classification-based payment system in China: The impact on costs, length of stay and quality," Social Science & Medicine, Elsevier, vol. 289(C).
    • Handle: RePEc:eee:socmed:v:289:y:2021:i:c:s0277953621007474
    DOI: 10.1016/j.socscimed.2021.114415
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    References listed on IDEAS

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    1. Chan, Marc K. & Zeng, Guohua, 2018. "Unintended consequences of supply-side cost control? Evidence from China's new cooperative medical scheme," Journal of Health Economics, Elsevier, vol. 61(C), pages 27-46.
    2. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    3. Margit Sommersguter-Reichmann, 2000. "The impact of the Austrian hospital financing reform on hospital productivity: empirical evidence on efficiency and technology changes using a non-parametric input-based Malmquist approach," Health Care Management Science, Springer, vol. 3(4), pages 309-321, September.
    4. Magnussen, Jon & Hagen, Terje P. & Kaarboe, Oddvar M., 2007. "Centralized or decentralized? A case study of Norwegian hospital reform," Social Science & Medicine, Elsevier, vol. 64(10), pages 2129-2137, May.
    5. Mikkola, Hennamari & Keskimaki, Ilmo & Hakkinen, Unto, 2002. "DRG-related prices applied in a public health care system--can Finland learn from Norway and Sweden?," Health Policy, Elsevier, vol. 59(1), pages 37-51, January.
    6. Melberg, Hans Olav & Beck Olsen, Camilla & Pedersen, Kine, 2016. "Did hospitals respond to changes in weights of Diagnosis Related Groups in Norway between 2006 and 2013?," Health Policy, Elsevier, vol. 120(9), pages 992-1000.
    7. 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).
    8. Bertoli, Paola & Grembi, Veronica, 2017. "The political economy of diagnosis-related groups," Social Science & Medicine, Elsevier, vol. 190(C), pages 38-47.
    9. Reinhard Busse & Jonas Schreyögg & Peter Smith, 2006. "Editorial: Hospital case payment systems in Europe," Health Care Management Science, Springer, vol. 9(3), pages 211-213, August.
    10. Pedro Barros & Gisele Braun, 2017. "Upcoding in a National Health Service: the evidence from Portugal," Health Economics, John Wiley & Sons, Ltd., vol. 26(5), pages 600-618, May.
    11. Cook, Amanda & Averett, Susan, 2020. "Do hospitals respond to changing incentive structures? Evidence from Medicare’s 2007 DRG restructuring," Journal of Health Economics, Elsevier, vol. 73(C).
    12. Philip Hochuli, 2020. "Losing body weight for money: How provider‐side financial incentives cause weight loss in Swiss low‐birth‐weight newborns," Health Economics, John Wiley & Sons, Ltd., vol. 29(4), pages 406-418, April.
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