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诊断相关分组对中国眉山医疗费用、服务效率和医疗质量的影响:一项中断时间序列分析

The impact of diagnosis-related groups on medical costs, service efficiency, and healthcare quality in Meishan, China: An interrupted time series analysis.

作者信息

Li Jinyuan, Peng Meihua, Deng Shihu, Wu Jingwen, Zhou Wangsu

机构信息

College of Management, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.

Meishan Healthcare Security Administration, Meishan, Sichuan Province, China.

出版信息

PLoS One. 2025 May 22;20(5):e0325041. doi: 10.1371/journal.pone.0325041. eCollection 2025.

Abstract

BACKGROUND

In January 2019, the Diagnosis-Related Groups (DRG) payment system was introduced in Meishan, China. Using the medical insurance records from 2017 to 2022, we evaluated the impact of the DRG system on medical costs, service efficiency and healthcare quality.

METHODS

The sample was divided into three periods: Before DRG reform (2017-2018), the first period of DRG reform (2019-2020), and the second period of DRG reform (2021-2022). We employed an Interrupted Time Series (ITS) model to analyze the monthly changes in total hospital costs, patient cost-sharing, patient sharing ratio, length of stay, and 30-day readmission rate during both periods of DRG reform.

RESULTS

In the first period of DRG reform, total hospital costs decreased by 1.23% per month (95% CI, 0.88%-1.59%), patient cost-sharing decreased by 1.46% per month (95% CI, 1.09%-1.83%), patient sharing ratio decreased by 0.23% per month (95% CI, 0.06%-0.40%), and length of stay decreased by 0.56% per month (95% CI, 0.27%-0.84%). The monthly change in 30-day readmission rate was not statistically significant (-0.11%, 95% CI, -0.73%-0.50%). In the second period of DRG reform, all monthly changes were not statistically significant.

CONCLUSIONS

This study assessed the impact of the DRG payment system on medical costs and service efficiency. The results showed that DRG reduced total hospital costs, patient cost-sharing, patient sharing ratio, and length of stay, but did not significantly affect the rising 30-day readmission rates. Over time, the impact of DRG on cost control and service efficiency stabilized. However, unintended hospital behaviors may have emerged, warranting further investigation. The findings suggest that policymakers should strengthen clinical practice regulation, improve the DRG payment system, and continuously monitor healthcare quality trends.

摘要

背景

2019年1月,中国眉山引入了按疾病诊断相关分组(DRG)支付系统。利用2017年至2022年的医疗保险记录,我们评估了DRG系统对医疗费用、服务效率和医疗质量的影响。

方法

样本分为三个时期:DRG改革前(2017 - 2018年)、DRG改革第一期(2019 - 2020年)和DRG改革第二期(2021 - 2022年)。我们采用中断时间序列(ITS)模型分析了DRG改革两个时期内医院总费用、患者费用分担、患者分担比例、住院时长和30天再入院率的月度变化。

结果

在DRG改革第一期,医院总费用每月下降1.23%(95%置信区间,0.88% - 1.59%),患者费用分担每月下降1.46%(95%置信区间,1.09% - 1.83%),患者分担比例每月下降0.23%(95%置信区间,0.06% - 0.40%),住院时长每月下降0.56%(95%置信区间,0.27% - 0.84%)。30天再入院率的月度变化无统计学意义(-0.11%,95%置信区间,-0.73% - 0.50%)。在DRG改革第二期,所有月度变化均无统计学意义。

结论

本研究评估了DRG支付系统对医疗费用和服务效率的影响。结果表明,DRG降低了医院总费用、患者费用分担、患者分担比例和住院时长,但对30天再入院率的上升没有显著影响。随着时间的推移,DRG对成本控制和服务效率的影响趋于稳定。然而,可能出现了医院的意外行为,值得进一步调查。研究结果表明,政策制定者应加强临床实践监管,完善DRG支付系统,并持续监测医疗质量趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1854/12097618/b4592b58913f/pone.0325041.g001.jpg

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