What question did this study set out to answer?

To assess the impact of the COVID-19 pandemic on routine healthcare service utilization in China using time-series analysis.

April 6, 2023Frontiers in Public HealthOpen Access

Evaluation of the impact of the COVID-19 pandemic on health service utilization in China: A study using auto-regressive integrated moving average model

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Authors

RXRixiang XuZhejiang Chinese Medical University LWLang WuSouthwest University YLYulian LiuZhejiang Chinese Medical University

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Implication

Time-series modeling study reveals substantial declines in outpatient visits and hospital admissions in China, highlighting the need for barrier-free medical access during epidemics.

Key Points

To assess the impact of the COVID-19 pandemic on routine healthcare service utilization in China using time-series analysis.
Applied an auto-regressive integrated moving average (ARIMA) model to evaluate health service utilization trends in China during the first year of the COVID-19 pandemic.
Approximately one in seven outpatient services was disrupted during the initial year of the pandemic.
Approximately one in six hospital admissions was affected during the same timeframe.

Cite This Study

Xu et al. (2023) studied this question.

synapsesocial.com/papers/69da10a08988aeabbe686659 https://doi.org/10.3389/fpubh.2023.1114085

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Implication

Time-series modeling study reveals substantial declines in outpatient visits and hospital admissions in China, highlighting the need for barrier-free medical access during epidemics.

Evaluation of the impact of the COVID-19 pandemic on health service utilization in China: A study using auto-regressive integrated moving average model

Discussion

Member takes

Implication

Key Points

Cite This Study

Evaluation of the impact of the COVID-19 pandemic on health service utilization in China: A study using auto-regressive integrated moving average model

Discussion

Member takes

Implication

Key Points

Cite This Study

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