Evidence map›Paper›PMID 33544761›Full record

ArticlePloS one2021

Socio-ecological predictors of mental health outcomes among healthcare workers during the COVID-19 pandemic in the United States.

Rachel Hennein, Emma J Mew, Sarah R Lowe

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 5 pooled it
22.1field-weighted citation impact, top 1% 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

82 citing papers in PubMed, 5 syntheses or guidelines pooled it, 162 citations in OpenAlex.

  1. Pooled it
  2. Anxiety Linked to COVID-19: A Systematic Review Comparing Anxiety Rates in Different Populations.International journal of environmental research and public health · 2022
    Pooled it
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  4. Stigmatization from Work-Related COVID-19 Exposure: A Systematic Review with Meta-Analysis.International journal of environmental research and public health · 2021
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  17. Co-rumination and intrapersonal cognitive processes predict distress: Longitudinal evidence from the COVID-19 pandemic.Stress and health : journal of the International Society for the Investigation of Stress · 2024
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22 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Rachel HenneinYale School of Medicine, Yale University, New Haven, Connecticut, United States of America.ORCID 0000-0001-6855-0402
Emma J MewDepartment of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, Connecticut, United States of America.
Sarah R LoweDepartment of Social and Behavioral Sciences, Yale School of Public Health, Yale University, New Haven, Connecticut, United States of America.
Yale University · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
NIGMS NIH HHS T32 GM007205
6 · The paper itself

Abstract

backgroundHealthcare workers are at increased risk of adverse mental health outcomes during the COVID-19 pandemic. Studies are warranted that examine socio-ecological factors associated with these outcomes to inform interventions that support healthcare workers during future disease outbreaks.

methodsWe conducted an online cross-sectional study of healthcare workers during May 2020 to assess the socio-ecological predictors of mental health outcomes during the COVID-19 pandemic. We assessed factors at four socio-ecological levels: individual (e.g., gender), interpersonal (e.g., social support), institutional (e.g., personal protective equipment availability), and community (e.g., healthcare worker stigma). The Personal Health Questionnaire-9, Generalized Anxiety Disorder-7, Primary Care Post-Traumatic Stress Disorder, and Alcohol Use Disorders Identification Test-Concise scales assessed probable major depression (MD), generalized anxiety disorder (GAD), posttraumatic stress disorder (PTSD), and alcohol use disorder (AUD), respectively. Multivariable logistic regression models were used to assess unadjusted and adjusted associations between socio-ecological factors and mental health outcomes.

resultsOf the 1,092 participants, 72.0% were female, 51.9% were frontline workers, and the mean age was 40.4 years (standard deviation = 11.5). Based on cut-off scores, 13.9%, 15.6%, 22.8%, and 42.8% had probable MD, GAD, PTSD, and AUD, respectively. In the multivariable adjusted models, needing more social support was associated with significantly higher odds of probable MD, GAD, PTSD, and AUD. The significance of other factors varied across the outcomes. For example, at the individual level, female gender was associated with probable PTSD. At the institutional level, lower team cohesion was associated with probable PTSD, and difficulty following hospital policies with probable MD. At the community level, higher healthcare worker stigma was associated with probable PTSD and AUD, decreased satisfaction with the national government response with probable GAD, and higher media exposure with probable GAD and PTSD.

conclusionsThese findings can inform targeted interventions that promote healthcare workers' psychological resilience during disease outbreaks.

Indexed as

COVID-19Health PersonnelAdultAlcoholismAnxiety DisordersCross-Sectional StudiesFemaleHumansMajor Depressive DisorderMaleMiddle AgedOutcome Assessment, Health CarePandemicsResilience, PsychologicalSocioeconomic FactorsStress Disorders, Post-Traumatic

Identifiers

PMID33544761
PMCPMC7864435
OpenAlexW3126817342

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.