School of Public Health, Sun Yat-sen University, Shenzhen, Guangdong, China.
Front Public Health. 2024 May 30;12:1393143. doi: 10.3389/fpubh.2024.1393143. eCollection 2024.
A consensus on the changing pattern of healthcare efficiency in China is current absent. This study tried to identify temporal fluctuations in healthcare efficiency from 2012 to 2021, and conducted a comparative analysis on the performance of 31 regions in China using region-level balanced panel data.
Employing three-stage data envelopment analysis (DEA) as the analytical framework, we measured healthcare efficiency and its changes using the directional slacks-based measure and global Malmquist-luenberger (GML) indexes. We also decomposed the sources of healthcare inefficiency and extended our analysis to changes in healthcare efficiency across different primary medical service levels and regional economic development tiers.
The average efficiency score of medical institutions (0.956) was slightly higher than that of hospitals (0.930). We found that the average GML indexes of medical institutions in China stood at 0.990, while the average technical change (TC) index was 0.995 and the average efficiency change (EC) index was 0.998 from 2012 to 2021. The GML indexes, TC indexes, and EC indexes of hospitals were 1.002, 1.009, and 0.994, respectively. The healthcare inefficiency for both inputs and desirable outputs in medical institutions was primarily attributed to the redundant numbers of institutions, outpatient visits slacks and inpatient surgery volume slacks, accounting for 50.040, 49.644, and 28.877%, respectively. The undesirable output inefficiency values of medical institutions concerning in-hospital mortality stood at 0.012, while the figure for hospital regarding the average length of stay (LOS) was 0.002. Additionally, healthcare efficiency in both medical institutions and hospitals exhibited an upward trend from 2012 to 2021, corresponding to an increase in the volume of primary medical services, primary medical staff, and the total gross domestic product (GDP).
Total factor productivity (TFP) of medical services declined in China from 2012 to 2021. The excessive number of medical institutions and the slack of medical service volumes were the main sources of healthcare inefficiency. Regions prioritizing primary medical services and boasting higher GDP levels exhibited superior healthcare efficiency. These findings are expected to inform policymakers' efforts in building a value-based and efficient health service system in China.
目前,对于中国医疗保健效率变化模式尚缺乏共识。本研究试图从 2012 年至 2021 年期间确定医疗保健效率的时间波动,并使用基于方向距离函数的衡量指标和全局 Malmquist-Luenberger(GML)指数对中国 31 个地区的绩效进行比较分析。
采用三阶段数据包络分析(DEA)作为分析框架,使用方向距离函数衡量医疗保健效率及其变化,并使用全局 Malmquist-Luenberger(GML)指数进行衡量。我们还对医疗保健效率低下的原因进行了分解,并将分析扩展到不同初级医疗服务水平和区域经济发展层次的医疗保健效率变化。
医疗机构的平均效率得分(0.956)略高于医院(0.930)。我们发现,2012 年至 2021 年,中国医疗机构的平均 GML 指数为 0.990,平均技术进步(TC)指数为 0.995,平均效率变化(EC)指数为 0.998。医院的 GML 指数、TC 指数和 EC 指数分别为 1.002、1.009 和 0.994。医疗机构在投入和期望产出方面的医疗保健效率低下主要归因于机构数量过多、门诊就诊量和住院手术量的冗余,分别占 50.040%、49.644%和 28.877%。医疗机构住院死亡率方面的不良产出效率值为 0.012,而医院的平均住院时间(LOS)为 0.002。此外,2012 年至 2021 年期间,医疗机构和医院的医疗保健效率均呈上升趋势,这与初级医疗服务量、初级医疗人员和国内生产总值(GDP)总量的增加相对应。
2012 年至 2021 年期间,中国医疗服务的全要素生产率(TFP)下降。医疗机构数量过多和医疗服务量的松弛是医疗保健效率低下的主要原因。优先发展初级医疗服务和拥有较高 GDP 水平的地区具有较高的医疗保健效率。这些发现有望为中国决策者在建立基于价值和高效的医疗服务体系方面提供参考。