Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Translational Health Research Institute, School of Medicine, Western Sydney University, Campbelltown 2560, Australia.
Int J Environ Res Public Health. 2022 Oct 14;19(20):13259. doi: 10.3390/ijerph192013259.
To date, there is a lack of comprehensive understanding regarding the effect of coronavirus disease 2019 (COVID-19) on the healthcare-seeking behavior and utilization of health services in rural areas where healthcare resources are scarce. We aimed to quantify the long-term impact of COVID-19 on hospital visits of rural residents in China. We collected data on the hospitalization of all residents covered by national health insurance schemes in a county in southern China from April 2017 to March 2021. We analyzed changes in residents' hospitalization visits in different areas, i.e., within-county, out-of-county but within-city, and out-of-city, via a controlled interrupted time series approach. Subgroup analyses based on gender, age, hospital levels, and ICD-10 classifications for hospital visits were examined. After experiencing a significant decline in hospitalization cases after the COVID-19 outbreak in early 2020, the pattern of rural residents' hospitalization utilization differed markedly by disease classification. Notably, we found that the overall demand for hospitalization utilization of mental and neurological illness among rural residents in China has been suppressed during the pandemic, while the utilization of inpatient services for other common chronic diseases was redistributed across regions. Our findings suggest that in resource-poor areas, focused strategies are urgently needed to ensure that people have access to adequate healthcare services, particularly mental and neurological healthcare, during the COVID-19 pandemic.
迄今为止,对于 2019 年冠状病毒病(COVID-19)对医疗资源匮乏的农村地区医疗保健寻求行为和卫生服务利用的影响,我们缺乏全面的了解。我们旨在量化 COVID-19 对中国农村居民住院的长期影响。我们收集了中国南方一个县的国家医疗保险计划覆盖的所有居民住院数据,时间跨度为 2017 年 4 月至 2021 年 3 月。我们通过对照中断时间序列分析方法,分析了不同地区(即县内、县外但市内、市外)居民住院就诊的变化。我们根据性别、年龄、医院级别以及住院就诊的 ICD-10 分类进行了亚组分析。在 2020 年初 COVID-19 爆发后,住院人数出现了显著下降,此后农村居民住院就诊的模式因疾病分类而明显不同。值得注意的是,我们发现,中国农村居民的精神和神经系统疾病的整体住院需求在疫情期间受到了抑制,而其他常见慢性病的住院服务利用则在各地区之间重新分配。我们的研究结果表明,在资源匮乏的地区,迫切需要制定有针对性的策略,以确保人们在 COVID-19 大流行期间能够获得足够的医疗保健服务,特别是精神和神经保健服务。