Wang Xiangzhen, Chen Yin, Ta Yuqi, Guo Moning, Fu Hongqiao
School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China, 86 15120079272.
Beijing Municipal Health Big Data and Policy Research Center, Beijing, China.
JMIR Public Health Surveill. 2025 Jul 3;11:e69768. doi: 10.2196/69768.
Avoidable hospitalizations (AHs) have been widely used in high-income countries as a proxy indicator for the quality of primary care. However, it is rarely evaluated in low- and middle-income countries such as China. Studies examining changes in AHs before and during the COVID-19 pandemic are also limited. The appropriateness of AHs as an indicator measuring primary care quality under pandemic conditions has not been well discussed.
This study aims to describe trends in AHs in Beijing, China, during both the prepandemic (2016-2019) and pandemic (2020-2021) periods and examine factors associated with AH rates.
We used hospital discharge data of Beijing residents between January 1, 2016, and December 31, 2021. We identified AH cases from all discharge cases and calculated AH rates each year, adjusting for population structure changes. We performed regression analyses to explore factors associated with AH rates, where the COVID-19 outbreak, health care resources, and socioeconomic characteristics were used as the main explanatory variables.
Before the COVID-19 pandemic, the total number of hospital discharges in Beijing increased steadily from 2016 to 2019 but decreased sharply in 2020 and partially rebounded in 2021. The sex- and age-standardized AH rate per 100,000 population rose from 514.7 (95% CI 511.4-517.9) in 2016 to 552.8 (95% CI 549.4-556.1) in 2019. Then it declined to 331.2 (95% CI 328.6-333.8) in 2020 and rebounded to 465.1 (95% CI 462.1-468.1) in 2021, which was still below the prepandemic level. Regression analyses show that the presence of newly confirmed COVID-19 cases was significantly associated with a lower AH rate. As for other factors, higher densities of primary physicians were linked to lower AH rates. Moreover, AH rates were also associated with population structure, the level of economic development, and demographic variables.
The AH rate in Beijing exhibited a consistent upward trend before the pandemic and remained higher than in many high-income countries. These characteristics suggest a potential overuse of tertiary care and highlight the necessity for health care system reforms in Beijing, particularly a transition from the hospital-centered model to a primary care-focused delivery system. In addition, the observed associations between AH rates and factors, such as pandemic shock and socioeconomic variables, indicate that AH should be interpreted with appropriate controls when it is used as an indicator of primary care performance.
可避免住院(AHs)在高收入国家已被广泛用作初级保健质量的替代指标。然而,在中国等低收入和中等收入国家,它很少得到评估。关于新冠疫情之前和期间AHs变化的研究也很有限。在疫情条件下,AHs作为衡量初级保健质量指标的适宜性尚未得到充分讨论。
本研究旨在描述中国北京在疫情前(2016 - 2019年)和疫情期间(2020 - 2021年)AHs的趋势,并研究与AH率相关的因素。
我们使用了2016年1月1日至2021年12月31日期间北京居民的医院出院数据。我们从所有出院病例中识别出AH病例,并每年计算AH率,同时对人口结构变化进行调整。我们进行回归分析以探索与AH率相关的因素,将新冠疫情爆发、医疗资源和社会经济特征作为主要解释变量。
在新冠疫情之前,北京的医院出院总数从2016年到2019年稳步增加,但在2020年急剧下降,并在2021年部分反弹。每10万人口的性别和年龄标准化AH率从2016年的514.7(95%CI 511.4 - 517.9)上升到2019年的552.8(95%CI 549.4 - 556.1)。然后在2020年降至331.2(95%CI 328.6 - 333.8),并在2021年反弹至465.1(95%CI 462.1 - 468.1),仍低于疫情前水平。回归分析表明,新冠确诊病例的出现与较低的AH率显著相关。至于其他因素,初级医生密度较高与较低的AH率相关。此外,AH率还与人口结构、经济发展水平和人口统计学变量有关。
北京的AH率在疫情前呈现出持续上升的趋势,且高于许多高收入国家。这些特征表明三级医疗可能存在过度使用,并凸显了北京医疗体系改革的必要性,特别是从以医院为中心的模式向以初级保健为重点的服务体系转变。此外,观察到的AH率与诸如疫情冲击和社会经济变量等因素之间的关联表明,当AH用作初级保健绩效指标时,应进行适当控制来解读。