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基于中断时间序列模型的疾病诊断相关分组(DRG)支付政策效果评估:来自安徽省某三级医院的证据

Evaluation of the effect of DRG payment policy based on interrupted time series modeling: evidence from a tertiary hospital in Anhui Province.

作者信息

Mo Guangju, Zhu Erchang, Fang Xinlei, Ma Jingbo, Kong Sijing, Guo Xuan, Lu Zheng

机构信息

The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233004, China.

School of Public Health, Shandong Second Medical University, Weifang, 201021, China.

出版信息

Health Res Policy Syst. 2024 Dec 18;22(1):167. doi: 10.1186/s12961-024-01255-y.

Abstract

BACKGROUND

The payment methodology for diagnosis-related groups (DRG) has implications for both society and medical institutions. Our study aims to analyse the impact of the reform of the payment policy according to the DRG on the operation of a tertiary hospital in Anhui Province.

METHODS

Monthly data were collected from April 2020 to September 2023 during the reform period for a tertiary hospital on nine types of operational indicators, including average length of stay (ALOS), number of discharges, number of outpatient visits, percentage of discharged patients undergoing level III or IV surgery, bed turnover rate, inpatient essential drug utilization rate, low-risk group mortality, outpatient subaverage cost and inpatient subaverage cost. The data were divided into two phases according to the time of DRG implementation: pre-reform (April 2020-December 2021) and post-reform (January 2022-September 2023), and the segmented regression model with interrupted time series data was used to analyse the changes in the trend of each type of indicator before and after the reform. Statistical analysis was performed using R software (4.3.1).

RESULTS

After the implementation of the DRG, the number of discharges increased by 112 800 patients (95% confidence interval [CI] 31.125-194.484, P = 0.008), the bed turnover rate rose by 1.403% (95% CI 1.028-1.778, P = 0.022) and the percentage of discharged patients undergoing level III or IV surgery decreased by 0.098% (95% CI -0.181 to -0.015, P = 0.022). The low-risk group mortality decreased by 0.016% (95% CI -0.027 to -0.005, P = 0.007), and the inpatient subaverage cost decreased by 81.514 CNY (95% CI -121.782 to -41.245, P < 0.001). However, there were no significant differences in the trends of average length of stay, outpatient visits, inpatient essential drug utilization rate and outpatient subaverage cost after the DRG implementation.

CONCLUSIONS

The findings show that the DRG reform has positively impacted hospital functioning, including quality, safety, efficiency and costs. Although the average length of stay remained unchanged, there was an increase in discharged patients and outpatient visits, indicating hospitals adapted to the new payment model. The reduction in low-risk group mortality suggests improvements in patient safety and care quality. However, challenges remain, as evidenced by decreased surgical complexity and initial drops in bed turnover rates. While the DRG reform holds promise for enhancing healthcare efficiency and controlling costs, potential negative effects such as patient selection bias and coding changes need to be monitored. Future research should focus on the long-term effects of the DRG policy across different healthcare institutions.

摘要

背景

诊断相关分组(DRG)支付方式对社会和医疗机构都有影响。我们的研究旨在分析安徽省一家三级医院在DRG支付政策改革后对其运营产生的影响。

方法

收集了改革期间(2020年4月至2023年9月)安徽省一家三级医院的月度数据,涉及九类运营指标,包括平均住院日(ALOS)、出院人数、门诊人次、接受III级或IV级手术的出院患者比例、病床周转率、住院患者基本药物使用率、低风险组死亡率、门诊次均费用和住院次均费用。根据DRG实施时间将数据分为两个阶段:改革前(2020年4月至2021年12月)和改革后(2022年1月至2023年9月),并采用中断时间序列数据的分段回归模型分析改革前后各类指标趋势的变化。使用R软件(4.3.1)进行统计分析。

结果

实施DRG后,出院人数增加了112,800例(95%置信区间[CI] 31.125 - 194.484,P = 0.008),病床周转率提高了1.403%(95% CI 1.028 - 1.778,P = 0.022),接受III级或IV级手术的出院患者比例下降了0.098%(95% CI -0.181至-0.015,P = 0.022)。低风险组死亡率下降了0.016%(95% CI -0.027至-0.005,P = 0.007),住院次均费用下降了81.514元(95% CI -121.782至-41.245,P < 0.001)。然而,实施DRG后,平均住院日、门诊人次、住院患者基本药物使用率和门诊次均费用的趋势没有显著差异。

结论

研究结果表明,DRG改革对医院功能产生了积极影响,包括质量、安全、效率和成本。虽然平均住院日保持不变,但出院患者和门诊人次有所增加,表明医院适应了新的支付模式。低风险组死亡率的降低表明患者安全和护理质量有所改善。然而,挑战依然存在,手术复杂性降低和病床周转率初期下降就证明了这一点。虽然DRG改革有望提高医疗效率和控制成本,但患者选择偏差和编码变化等潜在负面影响需要监测。未来的研究应关注DRG政策对不同医疗机构的长期影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ca9/11653658/4274350ddf2a/12961_2024_1255_Fig1_HTML.jpg

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