Evidence map›Paper›PMID 34192242›Full record

SynthesisGeneral psychiatry2021

Prevalence and dynamic features of psychological issues among Chinese healthcare workers during the COVID-19 pandemic: a systematic review and cumulative meta-analysis.

Huijuan Zhang, Wei Li, Hui Li, Caidi Zhang, Jinjing Luo, Yikang Zhu, Hui Wu, Zhuoying Zhu, Yifeng Xu, Jijun Wang and 1 more

Open access · diamondAbstract readSystematic Review
In one paragraph

Synthesis in General psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 8 pooled it
5.8field-weighted citation impact, top 4% of its field
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

21 citing papers in PubMed, 8 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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  20. The Psychological Morbidity among Health Care Workers During the Early Phase of Covid-19 Pandemic in India: A Systematic Review and Meta-Analysis.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
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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

11 authors at 1 institution in 1 country.

Huijuan ZhangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-3791-7133
Wei LiShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hui LiClinical Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Caidi ZhangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jinjing LuoShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yikang ZhuShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hui WuDepartment of Medical Psychology, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China.
Zhuoying ZhuInstitute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.
Yifeng XuShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-0403-1141
Jijun WangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chunbo LiShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has placed tremendous pressure on healthcare workers who are at the frontline in the battle against it, causing various forms of psychological distress.

aimsTo outline the prevalence and dynamic changing features of medical workers' psychological issues and to review the related national policies during the COVID-19 pandemic in China.

methodsWe systematically searched for studies on the psychological states of Chinese medical staff from 1 January 2020 to 8 May 2020. The aggregate prevalence of each psychological issue was calculated and plotted to observe the changes over time. Policies on psychological support for medical staff during the pandemic were reviewed to explore their link to the prevalence of psychological problems.

resultsIn total, 26 studies were included in this study. A total of 22 062 medical workers were surveyed from 31 January to 27 February 2020. Medical staff exhibited a substantial prevalence of anxiety symptoms, depression symptoms, stress-related symptoms and sleep problems during the survey period, with aggregate prevalence rates of 27.0%, 26.2%, 42.1% and 34.5%, respectively. Cumulative meta-analyses revealed that the prevalence of psychological distress peaked at the beginning of the pandemic and subsequently exhibited a slow downward trend.

conclusionChinese medical staff displayed significant psychological disturbance during the outbreak of the COVID-19 pandemic, which was especially severe at the early stage. Implementing supportive policies may help alleviate ongoing psychological problems in healthcare workers.

Indexed as

anxietymental healthprevalence

Identifiers

PMID34192242
PMCPMC8103554
OpenAlexW3179927072

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.