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Cited by 422

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Burnout and Posttraumatic Stress Disorder in the Coronavirus Disease 2019 (COVID-19) Pandemic: Intersection, Impact, and Interventions

Open access
Restauri, Nicole, Sheridan, Alison D.·2020·Journal of the American College of Radiology

Abstract

The coronavirus disease 2019 (COVID 2019) pandemic has presented myriad challenges to an underprepared health care system. Health care providers are facing unprecedented acute workplace stress compounded by a high baseline rate of physician burnout. This article discusses the relationship between acute stress disorder, posttraumatic stress disorder, and burnout through a literature review focusing on the mental health impact on health care providers after prior epidemics and natural disasters. We offer both a framework for understanding the mental health impact of the COVID-19 epidemic on physicians while proposing a systems based model to respond to these challenges.

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Registry

Crossref · 10.1016/j.jacr.2020.05.021

Cites

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Metadata

Authors
Restauri, N., & Sheridan, A. D.
Venue
Journal of the American College of Radiology
Publisher
Elsevier BV
Published
2020-07
Volume
17
Issue
7
Pages
921-926
ISSN
1546-1440 (ISSN-L)
OpenAlex
W3029682645
Cited by
422
References
17
FWCI
29.08
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Burnout and Posttraumatic Stress Disorder in the Coronavirus Disease 2019 (COVID-19) Pandemic: Intersection, Impact, and Interventions. https://app.cochat.ai/papers/10.1016/j.jacr.2020.05.021
The paper
Restauri, N., & Sheridan, A. D. (2020). Burnout and Posttraumatic Stress Disorder in the Coronavirus Disease 2019 (COVID-19) Pandemic: Intersection, Impact, and Interventions. Journal of the American College of Radiology. https://doi.org/10.1016/j.jacr.2020.05.021

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.