Impacts of DRG-Based Prepayment Reform on the Cost and Quality of Patients with Neurologic Disorders: Evidence from a Quasi-Experimental Analysis in Beijing, China

Zhen Cao, Xiaoyu Liu, Xiangzhen Wang, Moning Guo, Zhongjun Guan
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Abstract

Purpose: As one of the pioneering pilot cities in China’s extensive Diagnosis Related Groups (DRG) -based prepayment reform, Beijing is leading a comprehensive overhaul of the prepayment system, encompassing hospitals of varying affiliations and tiers. This systematic transformation is rooted in extensive patient group data, with the commencement of actual payments on March 15, 2022. This study aims to evaluate the effectiveness of DRG payment reform by examining how it affects the cost, volume, and utilization of care for patients with neurological disorders. Patients and Methods: Utilizing the exogenous shock resulting from the implementation of the DRG-based prepayment system, we adopted the Difference-in-Differences (DID) approach to discern changes in outcome variables among DRG payment cases, in comparison to control cases, both before and following the enactment of the DRG policy. The analytical dataset was derived from patients diagnosed with neurological disorders across all hospitals in Beijing that underwent the DRG-based prepayment reform. Strict data inclusion and exclusion criteria, including reasonableness tests, were applied, defining the pre-reform timeframe as March 15th through October 31st, 2021, and the post-reform timeframe as the corresponding period in 2022. The extensive dataset encompassed 53 hospitals and encompassed hundreds of thousands of cases. Results: The implementation of DRG-based prepayment resulted in a substantial 12.6% decrease in total costs per case and a reduction of 0.96 days in length of stay. Additionally, the reform was correlated with significant reductions in overall in-hospital mortality and readmission rates. Surprisingly, the study unearthed unintended consequences, including a significant reduction in the proportion of inpatient cases classified as surgical patients and the Case Mix Index (CMI), indicating potential strategic adjustments by providers in response to the introduction of DRG payments. Conclusion: The DRG payment reform demonstrates substantial effects in restraining cost escalation and enhancing quality. Nevertheless, caution must be exercised to mitigate potential issues such as patient selection bias and upcoding.
基于 DRG 的预付费改革对神经系统疾病患者的成本和质量的影响:来自中国北京准实验分析的证据
目的:作为中国基于疾病诊断相关分组(DRG)的大范围预付费改革的先行试点城市之一,北京正在牵头对预付费系统进行全面改革,涵盖不同隶属关系和层级的医院。这一系统性改革以广泛的患者群体数据为基础,将于 2022 年 3 月 15 日开始实际支付。本研究旨在通过考察 DRG 支付改革对神经系统疾病患者的治疗成本、治疗量和利用率的影响,评估 DRG 支付改革的效果。患者和方法:利用基于 DRG 的预付费系统实施后产生的外生冲击,我们采用了差分法(DID)来分析 DRG 支付病例与对照病例在 DRG 政策颁布前和颁布后的结果变量变化。分析数据集来自北京所有进行 DRG 预付费改革医院的神经系统疾病患者。我们采用了严格的数据纳入和排除标准,包括合理性测试,将改革前的时间段定义为 2021 年 3 月 15 日至 10 月 31 日,将改革后的时间段定义为 2022 年的相应时间段。广泛的数据集涵盖了 53 家医院和数十万个病例。研究结果实施基于 DRG 的预付费后,每个病例的总成本大幅下降了 12.6%,住院时间缩短了 0.96 天。此外,改革还显著降低了住院总死亡率和再入院率。令人惊讶的是,研究还发现了一些意想不到的后果,包括被归类为外科病人的住院病例比例和病例混合指数(CMI)显著下降,这表明医疗服务提供者可能会针对 DRG 支付的引入进行战略调整。结论DRG 支付改革在抑制成本上升和提高质量方面取得了显著效果。尽管如此,仍需谨慎对待,以减少潜在的问题,如患者选择偏差和向上编码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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