Long-Term Impact of COVID-19 on Hospital Visits of Rural Residents in Guangdong, China: A Controlled Interrupted Time Series Study
- PMID: 36293836
- PMCID: PMC9603214
- DOI: 10.3390/ijerph192013259
Long-Term Impact of COVID-19 on Hospital Visits of Rural Residents in Guangdong, China: A Controlled Interrupted Time Series Study
Abstract
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.
Keywords: COVID-19; ICD-10; healthcare-seeking behavior; impact; interrupted time series analysis.
Conflict of interest statement
The authors declare no conflict of interest.
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- Mulholland R.H., Wood R., Stagg H.R., Fischbacher C., Villacampa J., Simpson C.R., Vasileiou E., McCowan C., Stock S.J., Docherty A.B., et al. Impact of COVID-19 on accident and emergency attendances and emergency and planned hospital admissions in Scotland: An interrupted time-series analysis. J. R. Soc. Med. 2020;113:444–453. doi: 10.1177/0141076820962447. - DOI - PMC - PubMed
-
- Hategeka C., Carter S.E., Chenge F.M., Katanga E.N., Lurton G., Mayaka S.M., Mwamba D.K., van Kleef E., Vanlerberghe V., Grepin K.A. Impact of the COVID-19 pandemic and response on the utilisation of health services in public facilities during the first wave in Kinshasa, the Democratic Republic of the Congo. BMJ Glob. Health. 2021;6:e005955. doi: 10.1136/bmjgh-2021-005955. - DOI - PMC - PubMed
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- Center for Health Statistics and Information of China . National Medical Care Utilization from January to March. Volume 2021. Center for Health Statistics and Information of China; Beijing, China: 2020. (In Chinese)
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