Evidence map›Paper›PMID 33481754›Full record

SynthesisJournal of medical Internet research2021

Efficiency and Quality of Data Collection Among Public Mental Health Surveys Conducted During the COVID-19 Pandemic: Systematic Review.

Yu-Hsuan Lin, Chung-Yen Chen, Shiow-Ing Wu

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Review
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  9. Observational
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  14. Psychological impact of the COVID-19 pandemic on primary care workers: a cross-sectional study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022
    Article
  15. Article
  16. Article
  17. Review
4 · The record

Corrections and comments

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

3 authors.

Yu-Hsuan Lin *Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.ORCID 0000-0001-9393-3886
Chung-Yen Chen *Department of Environmental and Occupational Medicine, National Taiwan University Hospital, Taipei, Taiwan.ORCID 0000-0003-4715-2258
Shiow-Ing WuInstitute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.ORCID 0000-0002-0268-4261

Funding

EPA EP-C-16-014
6 · The paper itself

Abstract

backgroundThe 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.

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

methodsWe 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.

resultsOur 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.

conclusionsThe 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.

Indexed as

COVID-19Mental HealthCross-Sectional StudiesData CollectionHealth SurveysHumansPandemicsSARS-CoV-2COVID-19data collectionliteraturemental healthNewcastle-Ottawa Scaleresearchreviewsurveillancesurvey

Identifiers

PMID33481754
PMCPMC7879724

What OpenQuestion holds

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Registered trials

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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.