Evidence map›Paper›PMID 41661732›Full record

ArticlePLOS mental health2024

Burnout among public health workers during the COVID-19 response: Results from a follow-up survey.

Sarah Elizabeth Scales, Kristina W Kintziger, Kahler W Stone, Meredith A Jagger, Jennifer A Horney

Abstract read
In one paragraph

Article in PLOS mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Sarah Elizabeth ScalesDepartment of Environmental, Agricultural & Occupational Health, University of Nebraska Medical Center, Omaha, NE, United States of America.ORCID https://orcid.org/0000-0001-9983-5304
Kristina W KintzigerDepartment of Environmental, Agricultural & Occupational Health, University of Nebraska Medical Center, Omaha, NE, United States of America.ORCID https://orcid.org/0000-0003-3555-7805
Kahler W StoneDepartment of Health and Human Performance, Middle Tennessee State University, Murfreesboro, TN, United States of America.
Meredith A JaggerIndependent Researcher, Austin, TX, United States of America.
Jennifer A HorneyEpidemiology Program, University of Delaware, Newark, DE, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The public health workforce began the response to the COVID-19 pandemic with a critical workforce deficit, losing 20% of staff between 2018 and 2019. This study assesses changes in burnout among a cohort of 80 public health workers in the U.S. who completed multiple assessments during the ongoing COVID-19 response via Qualtrics. Self-reported burnout was assessed using a 5-point, validated, non-proprietary single-item measure. A binary burnout variable (1,2 = No; 3,4,5 = Yes) was created based on responses. Burnout direction (e.g., decreased, same, increased) was derived from changes in five-level work-related burnout scores. Factors indicating work-related exhaustion was higher among individuals reporting burnout in the follow-up survey compared to those without burnout. Baseline burnout, hours worked per week, and sleep quality were significant predictors of burnout at follow-up. A higher proportion of respondents reported burnout at follow-up than at the baseline survey. The ubiquitous nature of burnout among public health workers is a threat to the wellbeing of individuals in the workforce and the population's health at large. Investments in expanding and supporting the public health workforce are needed.

Identifiers

PMID41661732
PMCPMC12798593

What OpenQuestion holds

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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.