ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2021
Effect of COVID-19 on hospital visits in Ningbo, China: an interrupted time-series analysis.
Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Impact of COVID-19 lockdown on outpatient care for non-communicable diseases in Nepal.International journal of epidemiology · 2025Article
- Human-Centered Design and Development in Digital Health: Approaches, Challenges, and Emerging Trends.Cureus · 2025Review
- Utilization of upper gastrointestinal tumor inpatient services affected by COVID-19 in China 2018-2021: an interrupted time series analysis.Frontiers in public health · 2025Article
- Trends in Health Service Use for Dry Eye Disease From 2017 to 2021: A Real-World Analysis of 369,755 Outpatient Visits.Translational vision science & technology · 2024Article
- Impacts of Major Changes in China's COVID-19 Prevention and Control Policies on Emergency Department Visits: A Quasi-Experiment.Risk management and healthcare policy · 2024Article
- The impact of the COVID-19 pandemic on nostalgic social media use.Frontiers in psychology · 2024Article
- The COVID-19 pandemic and healthcare utilization in Iran: evidence from an interrupted time series analysis.Osong public health and research perspectives · 2023Article
- Evaluating the Impact of COVID-19 on Hospital Profit Compensation Activities: A Difference-in-Differences Event Study Analysis in China.Healthcare (Basel, Switzerland) · 2023Article
- Article
- Effect of the COVID-19 pandemic on the frequency of emergency department visits in Portugal: An interrupted time series analysis until July 2021.Journal of the American College of Emergency Physicians open · 2023Article
- Trends in prescription therapy for adolescents with depression in nine major areas of China during 2017-2021.Frontiers in psychiatry · 2023Article
- Factors associated with nonattendance at annual diabetes check-up in Ningbo, China: a case-control study.Frontiers in public health · 2023Article
- The impact of COVID-19 pandemic on hospital admissions for nine diseases in Iran: insight from an interrupted time series analysis.Cost effectiveness and resource allocation : C/E · 2022Article
- Long-Term Impact of COVID-19 on Hospital Visits of Rural Residents in Guangdong, China: A Controlled Interrupted Time Series Study.International journal of environmental research and public health · 2022Article
- COVID-19 Pandemic and Hospital Efficiency in Iran: Insight from an Interrupted Time Series Analysis and Pabon Lasso Model.Journal of lifestyle medicine · 2022Article
- Impact of first UK COVID-19 lockdown on hospital admissions: Interrupted time series study of 32 million people.EClinicalMedicine · 2022Article
- Unequal impact of the COVID-19 pandemic on paediatric cancer care: a population-based cohort study in China.The Lancet regional health. Western Pacific · 2022Article
- Sustaining surveillance as an intervention during the COVID-19 pandemic in Cabo Verde and implications for malaria elimination.Frontiers in immunology · 2022Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveUnprecedented rigorous public health measures were implemented during the coronavirus disease 2019 (COVID-19) epidemic, but it is still unclear how the intervention influenced hospital visits for different types of diseases. We aimed to evaluate the impact of the intervention on hospital visits in Yinzhou District, Ningbo, Zhejiang province, China.
methodsWe conducted an interrupted time-series analysis from 1 January 2017 to 6 September 2020 based on the Yinzhou Health Information System in Ningbo, Zhejiang province. The beginning of the intervention was on 23 January 2020, and thus, there were 160 weeks before the intervention and 32 weeks after the implementation of the intervention. Level changes between expected and observed hospital visits in the post-intervention period were estimated using quasi-Poisson regression models.
resultsCompared with the expected level, there was an estimated decrease of -22.60% (95% confidence interval (CI): -27.53%, -17.36%) in the observed total hospital visits following the intervention. Observed hospital visits for diseases of the respiratory system were found to be decreased dramatically (-62.25%; 95% CI: -65.62%, -58.60%). However, observed hospital visits for certain diseases were estimated to be increased, including diseases of the nervous system (+11.17%; 95% CI: +3.21%, +19.74%); diseases of pregnancy, childbirth and the puerperium (+27.01%; 95% CI: +17.89%, +36.85%); certain conditions originating in the perinatal period (+45.05%; 95% CI: +30.24%, +61.56%); and congenital malformation deformations and chromosomal abnormalities (+35.50%; 95% CI: +21.24%, +51.45%).
conclusionsOur findings provided scientific evidence that cause-specific hospital visits evolve differently following the intervention during the COVID-19 epidemic.
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