Evidence map›Paper›PMID 34069270›Full record

ArticleInternational journal of environmental research and public health2021

Stress, Burnout, and Resilience among Healthcare Workers during the COVID-19 Emergency: The Role of Defense Mechanisms.

Mariagrazia Di Giuseppe, Gianni Nepa, Tracy A Prout, Fabrizio Albertini, Stefano Marcelli, Graziella Orrù, Ciro Conversano

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 5 pooled it
–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

60 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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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

7 authors.

Mariagrazia Di GiuseppeDepartment of Surgical, Medical and Molecular Pathology, Critical and Care Medicine, University of Pisa, 56126 Pisa, Italy.
Gianni NepaHospital "G. Mazzini", ASL 4, 64100 Teramo, Italy.
Tracy A ProutFerkauf Graduate School of Psychology, Yeshiva University, Bronx, New York, NY 10461, USA.
Fabrizio AlbertiniHospital "G. Mazzoni", Asur Marche Area Vasta 5 Ascoli Piceno, 63100 Ascoli Piceno, Italy.
Stefano MarcelliHospital "G. Mazzoni", Asur Marche Area Vasta 5 Ascoli Piceno, 63100 Ascoli Piceno, Italy.
Graziella OrrùDepartment of Surgical, Medical and Molecular Pathology, Critical and Care Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-8769-7693
Ciro ConversanoDepartment of Surgical, Medical and Molecular Pathology, Critical and Care Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-0726-3634

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The experience of working on the frontlines of the COVID-19 healthcare crisis has presented a cumulative traumatic experience that affects healthcare professionals' well-being. Psychological resources such as resilience and adaptive defense mechanisms are essential in protecting individuals from severe stress and burnout. During September 2020, 233 healthcare workers responded to an online survey to test the impact of demographic variables, COVID-19 exposure, and psychological resources in determining stress and burnout during the COVID-19 emergency. Frontline workers reported higher scores for stress, emotional exhaustion, and depersonalization (

Indexed as

Burnout, ProfessionalCOVID-19Burnout, PsychologicalDefense MechanismsFemaleHealth PersonnelHumansPandemicsSARS-CoV-2burnoutCOVID-19defense mechanismsemotion regulationfrontline workersresiliencestress

Identifiers

PMID34069270
PMCPMC8156145

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.