Impact of a new case-based payment scheme on volume distribution across public hospitals in Zhejiang, China: does 'Same disease, same price' matter.

IF 4.5 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Meiteng Yu, Jing Liu, Tao Zhang
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引用次数: 0

Abstract

Background: With the implementation of the hierarchical medical system (HMS) in China, Zhejiang Province introduced an innovative payment scheme called "payment method by disease types with point counting". This scheme was initially adopted in Jinhua in July 2017, and was later integrated with the "same disease, same price" policy in Hangzhou in January 2020. This study aimed to investigate the impact of these reforms on the distribution of health service volume.

Methods: Data were obtained from 104 hospitals, including 12 tertiary and 14 secondary hospitals from each of four regions: Jinhua (intervention) vs. Taizhou (control), and Hangzhou (intervention) vs. Ningbo (control). A total of 3848 observation points were examined using two sets of controlled interrupted time series analyses to assess the effects of this new case-based payment, without and with "same disease, same price", on the proportion of discharges, total medical revenue and hospitalization revenue. The Herfindahl-Hirschman Index (HHI) were analyzed to evaluate changes in market competition.

Results: Following the introduction of the new case-based payment without "same disease, same price", secondary hospitals in Jinhua experienced a significant decline in the proportion of discharges (β6 = -0.1074, p = 0.047), total medical revenue (β6 = -0.0729, p = 0.026), and hospitalization revenue (β6 = -0.1062, p = 0.037) compared to those in Taizhou, while tertiary hospitals showed a non-significant increase. After incorporating "same disease, same price", the proportion of discharges (β6 = 0.2015, p = 0.031), total medical revenue (β6 = 0.1101, p = 0.041) and hospitalization revenue (β6 = 0.1248, p = 0.032) in Hangzhou's secondary hospitals increased compared with Ningbo's, yet the differences in both the level and trend changes between tertiary hospitals in the two cities were not statistically significant. The HHI in Jinhua (β7 = 0.0011, p = 0.043) presented an upward trend during the pilot period of the case-based payment, while the HHI in Hangzhou (β6 = -0.0234, p = 0.021) decreased immediately after the introduction of "same disease, same price".

Conclusion: This new case-based payment scheme may worsen the disproportionate distribution of service volume across hospitals of different levels. While "same disease, same price" shows potential benefits, further evidence is needed to assess its effectiveness in promoting HMS. Policymakers should consider hospital interests in payment design and address unintended strategic behaviors.

基于病例的新支付方案对中国浙江省公立医院数量分配的影响:“同病同价”重要吗?
背景:随着分级医疗制度(HMS)在中国的实施,浙江省推出了“按病种计分支付”的创新支付方案。该方案于2017年7月在金华率先实施,并于2020年1月与杭州“同病同价”政策整合。本研究旨在探讨这些改革对卫生服务量分布的影响。方法:选取金华(干预)与泰州(对照)、杭州(干预)与宁波(对照)4个地区的104家医院,其中三级医院12家,二级医院14家。使用两组受控中断时间序列分析对总共3848个观察点进行了检查,以评估这种新的基于病例的付款方式对出院比例、医疗总收入和住院收入的影响,这种付款方式不包括“同病同价”。分析了赫芬达尔-赫希曼指数(HHI)来评价市场竞争的变化。结果:引入“同病同价”新病例付费后,金华市二级医院的出院比例(β6 = -0.1074, p = 0.047)、医疗总收入(β6 = -0.0729, p = 0.026)、住院收入(β6 = -0.1062, p = 0.037)均较台州显著下降,三级医院无显著上升。纳入“同病同价”后,杭州二级医院的出院比例(β6 = 0.2015, p = 0.031)、医疗总收入(β6 = 0.1101, p = 0.041)和住院收入(β6 = 0.1248, p = 0.032)均高于宁波,但两市三级医院的水平和趋势变化差异无统计学意义。金华市的HHI (β7 = 0.0011, p = 0.043)在病例付费试点期间呈上升趋势,而杭州市的HHI (β6 = -0.0234, p = 0.021)在引入“同病同价”后立即下降。结论:这种新的病例计费方案可能会加剧不同级别医院之间服务量分布不均衡的问题。虽然“同样的疾病,同样的价格”显示出潜在的好处,但需要进一步的证据来评估其在促进医疗保健管理方面的有效性。政策制定者应考虑医院在支付设计中的利益,并解决无意的战略行为。
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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来源期刊
CiteScore
7.80
自引率
4.20%
发文量
162
审稿时长
28 weeks
期刊介绍: International Journal for Equity in Health is an Open Access, peer-reviewed, online journal presenting evidence relevant to the search for, and attainment of, equity in health across and within countries. International Journal for Equity in Health aims to improve the understanding of issues that influence the health of populations. This includes the discussion of political, policy-related, economic, social and health services-related influences, particularly with regard to systematic differences in distributions of one or more aspects of health in population groups defined demographically, geographically, or socially.
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