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.
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.
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.
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.
Who cites it
21 citing papers in PubMed, 8 syntheses or guidelines pooled it, 40 citations in OpenAlex.
- Impacts of COVID-19 on mental health of students in Ethiopia: systematic review and meta-analysis.BMC psychology · 2024Pooled it
- Depressive and anxiety symptoms amid COVID-19 pandemic among healthcare workers in a low-resource setting: a systematic review and meta-analysis from Ethiopia.Frontiers in psychiatry · 2024Pooled it
- Pooled it
- Pooled it
- COVID-19 and common mental health symptoms in the early phase of the pandemic: An umbrella review of the evidence.PLoS medicine · 2023Pooled it
- Anxiety and stress among healthcare professionals during COVID-19 in Ethiopia: systematic review and meta-analysis.BMJ open · 2023Pooled it
- Pooled it
- Impact of the COVID-19 pandemic on the mental health of hospital staff: An umbrella review of 44 meta-analyses.International journal of nursing studies · 2022Pooled it
- Longitudinal Study on Post-Traumatic Stress Disorder, Anxiety, and Depression Among Medical Staff in China.Health care science · 2026Article
- Differences in the depression and burnout networks between doctors and nurses: evidence from a network analysis.BMC public health · 2024Article
- Global burden of sleep disturbances among older adults and the disparities by geographical regions and pandemic periods.SSM - population health · 2024Review
- Immediate shock and residual stress: Unmasking the dual dynamics of covid-19 on the mental health of health professionals in China.Health psychology research · 2024Article
- Polysomnographic parameters in long-COVID chronic insomnia patients.Dialogues in clinical neuroscience · 2023Article
- Exploring the psychological impact of the 2022 SARS-CoV-2 Omicron variant outbreak in China.General psychiatry · 2023Article
- Investigation on sleep-related cognition of Chinese health care workers during the first wave of COVID-19 pandemic.Frontiers in psychiatry · 2023Article
- A hidden pandemic? An umbrella review of global evidence on mental health in the time of COVID-19.Frontiers in psychiatry · 2023Review
- Relations among perceived stress, fatigue, and sleepiness, and their effects on the ambulatory arterial stiffness index in medical staff: A cross-sectional study.Frontiers in psychology · 2022Article
- Policies on mental health in the workplace during the COVID-19 pandemic: A scoping review.PloS one · 2022Article
- The Prevalence of Post-traumatic Stress Disorder Symptoms, Sleep Problems, and Psychological Distress Among COVID-19 Frontline Healthcare Workers in Taiwan.Frontiers in psychiatry · 2021Article
- 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 MedicineReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.