Evaluation of the Impact of DRG Reform on Hospitalization Costs Based on Synthetic Control Method: An Empirical Study in Beijing Tertiary Public Hospitals

Corresponding author: zhangyuwei, cufeyw2019@163.com

DOI: 10.12201/bmr.202404.00024

•  

  Abstract: Objective: To analyze effects of Diagnosis-Related Group (DRG) both in short-term and long-term on total hospitalization costs in tertiary public hospitals in Beijing, including growth rate and internal structure. Methods: This article is based on annual statistical report data of hospitalization costs in tertiary public hospitals in Beijing from 2009 to 2018. A synthetic control method was used to analyze the impact of DRG on the total costs and percentage of each cost. Results: Compared to hospitals that did not pilot, in the short term, the pilot hospitals have seen a reduction in the total cost of inpatients and a significant reduction in the drug cost ratio. The growth rate of the consumables costs ratio decreased significantly. The surgery, treatment, and care costs ratio declined while the examination and laboratory costs ratio increased. In long term, the total cost and growth of pilot hospitals exceeds that of non-pilot hospitals. Drug ratio and surgery, treatment, and care costs ratio remain lower than non-pilot hospitals. The consumables costs ratio has increased significantly. Changes in the examination and laboratory costs show strong individual variability. Conclusion: The DRG has a positive effect on controlling growth of total costs in short-term, long-term effects need to be improved and the cost structure need to be optimized. Next stage, DRG should be improved in three ways: fulfill the multifaceted role of the Twin Centers, integrate with performance appraisal of tertiary public hospitals, increase income reflecting the value of doctors skilled labor.

  Key words: Diagnosis-Related Groups; Tertiary public hospitals; Hospitalization costs; Synthetic control method

  Submit time: 16 April 2024

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• CAO Jian-bo, LIU Ya-qing, ZHANG Mei-cheng, NIU Hao-ran, JIANG Feng. Evaluation of the implementation effect of Diagnosis-intervention Packet(DIP)：Empirical Study of Qingyuan based on Synthetic Control Method. 2023. doi: 10.12201/bmr.202301.00007

  cuijinguang, wuxiuchun, douyifeng, mengwentao, yangjie. Design and implementation of performance appraisal data monitoring system for tertiary public hospitals. 2021. doi: 10.12201/bmr.202109.00018

  Li Qiang. Study on the Relationship between Organizational Factors and Multidisciplinary Teamwork Behavior in Third Class Public Hospitals in Hangzhou: a Moderated Mediation Model. 2024. doi: 10.12201/bmr.202403.00003

  SHANZHIYI, anxinying. Research Efficiency of Tertiary Hospitals in Shenzhen based on Stochastic Frontier Analysis Model. 2022. doi: 10.12201/bmr.202208.00001

  Guodan, Dengjindong, Liuchen. Research on the operational efficiency and influencing factors of public hospitals in the Pearl River Delta region based on DEA-Tobit model. 2024. doi: 10.12201/bmr.202410.00031

  ZHOU jian, ZHANG min, YANG xue, SHI Wenhui, SUN Zhiming. Spatial Distribution Characteristics of Tertiary General Hospital in Nanjing: a Geographical Analysis Based on GIS. 2022. doi: 10.12201/bmr.202210.00008

  tianshuanggui. Analysis and reflection on the current situation of information-based talents in tertiary Chinese Medicine hospitals in China. 2020. doi: 10.12201/bmr.202008.00012

  LIN Kun-he, YAO Yifan, XIONG Yingbei, XIONG Li. Research on the Impact of Supply Side Policy Collaboration of Medical Insurance on Cost Control under DIP Payment. 2024. doi: 10.12201/bmr.202406.00024

  Xinkui Liu, Linpeng Yang, Hongying Zan, Chengzhi Niu. Construction on Diagnosis-related Group Medical Knowledge Graphs. 2020. doi: 10.12201/bmr.202003.00066

  Zhang Lijiang, WEI qI, Sun Jianwei, Meng Yong. Research on the preference of doctors in public hospitals to carry out Internet diagnosis and treatment services -- Based on discrete selection experiment. 2022. doi: 10.12201/bmr.202212.00004

• ID	Submit time	Number	Download
  1	2023-12-25	bmr.202404.00024V1	Download

• Public  Anonymous  To author only Submit Comments