Evidence map›Paper›PMID 35922058›Full record

ArticleInternational journal of nursing practice2022

Predictors of burnout in female nurses during the COVID-19 pandemic.

Lourdes Luceño-Moreno, Beatriz Talavera-Velasco, Jesús Martín-García

Abstract read
In one paragraph

Article in International journal of nursing practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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  6. Predictors of burnout in female nurses during the COVID-19 pandemic.International journal of nursing practice · 2022
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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

3 authors.

Lourdes Luceño-MorenoDepartment of Social and Work Psychology and Individual Differences, Faculty of Psychology, Complutense University of Madrid, Madrid, Spain.ORCID https://orcid.org/0000-0002-1541-4383
Beatriz Talavera-VelascoDepartment of Social and Work Psychology and Individual Differences, Faculty of Psychology, Complutense University of Madrid, Madrid, Spain.ORCID https://orcid.org/0000-0003-4662-1999
Jesús Martín-GarcíaDepartment of Social and Work Psychology and Individual Differences, Faculty of Psychology, Complutense University of Madrid, Madrid, Spain.ORCID https://orcid.org/0000-0001-8182-9897

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of this study was to evaluate the predictors of burnout in female nurses during the first wave of the COVID-19 pandemic. It also sought to evaluate the relationship between each of the variables studied (anxiety, depression, sociodemographic and COVID-19 variables) and the dimensions of the burnout.

backgroundOne of the groups of health care workers worst affected by the COVID-19 crisis has been women working as nursing staff, due to the high percentage they account for at a global level and their direct contact with infected patients.

designThis was a cross-sectional, quantitative study.

methodsFour hundred forty-four Spanish female nurses from hospital and primary health care centres took part in the study. The data were obtained in 2020 by means of an online survey.

resultsSymptoms of depression are a common predictor variable to all the dimensions of burnout, whereas symptoms of anxiety predict emotional exhaustion and depersonalization. Age and years of experience in the job predict depersonalization, whereas the probability of contracting the infection is a predictor variable of emotional exhaustion and personal accomplishment.

conclusionPredictor variables should be considered in the creation of prevention and intervention plans to reduce the levels of burnout in female nurses.

Indexed as

Burnout, ProfessionalCOVID-19AnxietyCross-Sectional StudiesFemaleHumansPandemicsSurveys and QuestionnairesanxietyburnoutCOVID-19depressionnursespandemic

Identifiers

PMID35922058
PMCPMC9538264

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.