國家衛生研究院 NHRI:Item 3990099045/13222
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    题名: Efficiency and quality of data collection among public mental health surveys conducted during the COVID-19 pandemic: Systematic review
    作者: Lin, YH;Chen, CY;Wu, SI
    贡献者: Institute of Population Health Sciences
    摘要: BACKGROUND: The World Health Organization has recognized the importance of considering population-level mental health during the COVID-19 pandemic. In a global crisis like the COVID-19 pandemic, a timely surveillance method is urgently needed to track the impact on public mental health. OBJECTIVE: This brief review focuses on the efficiency and quality of data collection in the existing literature. METHODS: The following search strings were used: ((COVID-19) OR (SARS-CoV-2)) AND ((Mental health) OR (psychological) OR (psychiatry)). We screened the titles, abstracts, and texts to exclude irrelevant articles. We used the Newcastle-Ottawa Scale to evaluate the quality of each research. RESULTS: There were 37 relevant mental health surveys of the general public during the COVID-19 pandemic found by searching the database PubMed on July 10, 2020. All the public mental health surveys examined were cross-sectional in design, and the journals efficiently made these available online in an average of 18.7 (range: 1-64) days from the date the article was received. The average duration of recruitment periods was 9.2 (range: 2-35) days, and the average sample size was 5137 (range: 100-56679). However, 73.0% (27/37) of the studies on the general public had scores on the Newcastle-Ottawa Scale of < 3 points, which suggests these studies are of too low quality for inclusion in a meta-analysis. CONCLUSIONS: This review found that the data collection was efficient but generally had a high risk of bias among existing public mental health surveys. Following a recommendation to avoid selection bias, or to apply novel methodologies considering both longitudinal design and high temporal resolution, would help provide a strong basis for the formation of national mental health policies.
    日期: 2021-02-10
    關聯: Journal of Medical Internet Research. 2021 Feb 10;23(2):Article number e25118.
    Link to: http://dx.doi.org/10.2196/25118
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1438-8871&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000617036100007
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85100988062
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