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Efficiency and Quality of Data Collection Among Public Mental Health Surveys Conducted During the COVID-19 Pandemic: Systematic Review.
Lin, Yu-Hsuan; Chen, Chung-Yen; Wu, Shiow-Ing.
  • Lin YH; Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.
  • Chen CY; Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan.
  • Wu SI; Department of Psychiatry, College of Medicine, National Taiwan University, Taipei, Taiwan.
J Med Internet Res ; 23(2): e25118, 2021 02 10.
Article in English | MEDLINE | ID: covidwho-1575984
ABSTRACT

BACKGROUND:

The World Health Organization has recognized the importance of assessing population-level mental health during the COVID-19 pandemic. During a global crisis such as the COVID-19 pandemic, a timely surveillance method is urgently needed to track the impact on public mental health.

OBJECTIVE:

This brief systematic review focused on the efficiency and quality of data collection of studies conducted during the COVID-19 pandemic.

METHODS:

We searched the PubMed database using the following search strings ((COVID-19) OR (SARS-CoV-2)) AND ((Mental health) OR (psychological) OR (psychiatry)). We screened the titles, abstracts, and texts of the published papers to exclude irrelevant studies. We used the Newcastle-Ottawa Scale to evaluate the quality of each research paper.

RESULTS:

Our search yielded 37 relevant mental health surveys of the general public that were conducted during the COVID-19 pandemic, as of July 10, 2020. All these public mental health surveys were cross-sectional in design, and the journals efficiently made these articles available online in an average of 18.7 (range 1-64) days from the date they were received. The average duration of recruitment periods was 9.2 (range 2-35) days, and the average sample size was 5137 (range 100-56,679). However, 73% (27/37) of the selected studies had Newcastle-Ottawa Scale scores of <3 points, which suggests that these studies are of very low quality for inclusion in a meta-analysis.

CONCLUSIONS:

The studies examined in this systematic review used an efficient data collection method, but there was a high risk of bias, in general, among the existing public mental health surveys. Therefore, following recommendations to avoid selection bias, or employing novel methodologies considering both a longitudinal design and high temporal resolution, would help provide a strong basis for the formation of national mental health policies.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mental Health / Data Collection / Health Surveys / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 25118

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mental Health / Data Collection / Health Surveys / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 25118