Evidence map›Paper›PMID 36293836›Full record

ArticleInternational journal of environmental research and public health2022

Long-Term Impact of COVID-19 on Hospital Visits of Rural Residents in Guangdong, China: A Controlled Interrupted Time Series Study.

Wenfang Zhong, Rong Yin, Yan Pan, Xiangliang Zhang, Andre M N Renzaho, Li Ling, Xingge Li, Wen Chen

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Wenfang ZhongDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Rong YinDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Yan PanDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Xiangliang ZhangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID 0000-0002-8996-9699
Andre M N RenzahoTranslational Health Research Institute, School of Medicine, Western Sydney University, Campbelltown 2560, Australia.ORCID 0000-0002-6844-0833
Li LingDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Xingge LiDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Wen ChenDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID 0000-0002-6839-8890

Funding

National Natural Science Foundation of China 72074229
6 · The paper itself

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.

Indexed as

COVID-19ChinaHospitalsHumansInterrupted Time Series AnalysisPandemicsRural PopulationCOVID-19healthcare-seeking behaviorICD-10impactinterrupted time series analysis

Identifiers

PMID36293836
PMCPMC9603214

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.