CovidStanfordV1, Main, Exploration, bibRecord, 000377

Presenteeism in nurses: comparative study of Spanish, Portuguese and Brazilian nurses.

Identifieur interne : 000377 ( Main/Exploration ); précédent : 000376; suivant : 000378

Presenteeism in nurses: comparative study of Spanish, Portuguese and Brazilian nurses.

Auteurs : Maria-Pilar Mosteiro-Díaz [Espagne] ; Maria Baldonedo-Mosteiro [Espagne] ; Elisabete Borges [Portugal] ; Patricia Baptista [Brésil] ; Cristina Queir S [Portugal] ; Marta Sánchez-Zaballos [Espagne] ; Vanda Felli [Brésil] ; Margarida Abreu [Portugal] ; Fábio Silva [Brésil] ; Sara Franco-Correia [Espagne]

Source :

International nursing review [ 1466-7657 ] ; 2020.

RBID : pubmed:32844446

Descripteurs français

KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Brésil (MeSH), Espagne (MeSH), Exposition professionnelle (prévention et contrôle), Facteurs de risque (MeSH), Facteurs âges (MeSH), Femelle (MeSH), Humains (MeSH), Mâle (MeSH), Personnel infirmier hospitalier (psychologie), Personnel infirmier hospitalier (statistiques et données numériques), Portugal (MeSH), Présentéisme (statistiques et données numériques), Rôle de l'infirmier (psychologie), Études transversales (MeSH).
MESH :
- prévention et contrôle : Exposition professionnelle.
- psychologie : Personnel infirmier hospitalier, Rôle de l'infirmier.
- statistiques et données numériques : Personnel infirmier hospitalier, Présentéisme.
- Adulte, Adulte d'âge moyen, Brésil, Espagne, Facteurs de risque, Facteurs âges, Femelle, Humains, Mâle, Portugal, Études transversales.
Wicri :
- geographic : Brésil, Portugal, Espagne.

English descriptors

KwdEn :
- Adult (MeSH), Age Factors (MeSH), Brazil (MeSH), COVID-19 (epidemiology), COVID-19 (nursing), Cross-Sectional Studies (MeSH), Female (MeSH), Humans (MeSH), Male (MeSH), Middle Aged (MeSH), Nurse's Role (psychology), Nursing Staff, Hospital (psychology), Nursing Staff, Hospital (statistics & numerical data), Occupational Exposure (prevention & control), Portugal (MeSH), Presenteeism (statistics & numerical data), Risk Factors (MeSH), Spain (MeSH).
MESH :
- geographic : Brazil, Portugal, Spain.
- epidemiology : COVID-19.
- nursing : COVID-19.
- prevention & control : Occupational Exposure.
- psychology : Nurse's Role, Nursing Staff, Hospital.
- statistics & numerical data : Nursing Staff, Hospital, Presenteeism.
- Adult, Age Factors, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Risk Factors.

Abstract

AIM

To compare presenteeism levels among three samples of nurses and to identify the relationship between presenteeism and sociodemographic and professional characteristics.

BACKGROUND

Presenteeism (going to work ill) is a phenomenon studied from different perspectives, and it has become especially important during the current COVID-19 outbreak; its connection to high healthcare costs, patient safety breaches and negative nurse well-being has been proved.

INTRODUCTION

The nursing profession is particularly associated with caring for the culture of teamwork, loyalty to colleagues and professional identity. This condition enhances the 'super nurse phenomenon', even though nurses do not feel physically and psychologically able to work.

METHODS

A multicentre, cross-sectional study was conducted in three different country contexts: Oviedo (Spain), Porto (Portugal) and São Paulo (Brazil). Nurses performing functions in hospitals and primary health care were enrolled. Informed consent and data collection questionnaires were hand delivered. The Stanford Presenteeism Scale-6 was applied.

RESULTS

A total of 659 nurses participated. Portuguese nurses showed greater prevalence of presenteeism, followed by Brazilian and Spanish nurses. Younger nurses with less professional experience presented lower levels of presenteeism but greater psychological commitment. Male participants showed lower capacity to complete work when ill than female participants.

CONCLUSIONS

Age and length of professional experience proved to be significant predictors of total presenteeism, although only professional experience revealed statistical significance in the adjusted model.

IMPLICATIONS FOR NURSING AND HEALTH POLICY

The knowledge of this phenomenon among nurses highlights the need for the development of strategies in the curriculum of nursing students and organizations. Resilience and ergonomic training should be applied in the training programmes of the students and reinforced by the health centre managers. It is essential that healthcare systems design worksite wellness programmes that pursue greater physical and mental well-being for healthcare professionals.

DOI: 10.1111/inr.12615
PubMed: 32844446

Affiliations:

Links toward previous steps (curation, corpus...)

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Le document en format XML

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<author><name sortKey="Franco Correia, Sara" sort="Franco Correia, Sara" uniqKey="Franco Correia S" first="Sara" last="Franco-Correia">Sara Franco-Correia</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term>
<term>Age Factors (MeSH)</term>
<term>Brazil (MeSH)</term>
<term>COVID-19 (epidemiology)</term>
<term>COVID-19 (nursing)</term>
<term>Cross-Sectional Studies (MeSH)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Nurse's Role (psychology)</term>
<term>Nursing Staff, Hospital (psychology)</term>
<term>Nursing Staff, Hospital (statistics & numerical data)</term>
<term>Occupational Exposure (prevention & control)</term>
<term>Portugal (MeSH)</term>
<term>Presenteeism (statistics & numerical data)</term>
<term>Risk Factors (MeSH)</term>
<term>Spain (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Brésil (MeSH)</term>
<term>Espagne (MeSH)</term>
<term>Exposition professionnelle (prévention et contrôle)</term>
<term>Facteurs de risque (MeSH)</term>
<term>Facteurs âges (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Personnel infirmier hospitalier (psychologie)</term>
<term>Personnel infirmier hospitalier (statistiques et données numériques)</term>
<term>Portugal (MeSH)</term>
<term>Présentéisme (statistiques et données numériques)</term>
<term>Rôle de l'infirmier (psychologie)</term>
<term>Études transversales (MeSH)</term>
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<keywords scheme="MESH" type="geographic" xml:lang="en"><term>Brazil</term>
<term>Portugal</term>
<term>Spain</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>COVID-19</term>
</keywords>
<keywords scheme="MESH" qualifier="nursing" xml:lang="en"><term>COVID-19</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Occupational Exposure</term>
</keywords>
<keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr"><term>Exposition professionnelle</term>
</keywords>
<keywords scheme="MESH" qualifier="psychologie" xml:lang="fr"><term>Personnel infirmier hospitalier</term>
<term>Rôle de l'infirmier</term>
</keywords>
<keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Nurse's Role</term>
<term>Nursing Staff, Hospital</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Nursing Staff, Hospital</term>
<term>Presenteeism</term>
</keywords>
<keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Personnel infirmier hospitalier</term>
<term>Présentéisme</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adult</term>
<term>Age Factors</term>
<term>Cross-Sectional Studies</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Risk Factors</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Brésil</term>
<term>Espagne</term>
<term>Facteurs de risque</term>
<term>Facteurs âges</term>
<term>Femelle</term>
<term>Humains</term>
<term>Mâle</term>
<term>Portugal</term>
<term>Études transversales</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Brésil</term>
<term>Portugal</term>
<term>Espagne</term>
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<front><div type="abstract" xml:lang="en"><p><b>AIM</b>
</p>
<p>To compare presenteeism levels among three samples of nurses and to identify the relationship between presenteeism and sociodemographic and professional characteristics.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>Presenteeism (going to work ill) is a phenomenon studied from different perspectives, and it has become especially important during the current COVID-19 outbreak; its connection to high healthcare costs, patient safety breaches and negative nurse well-being has been proved.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>INTRODUCTION</b>
</p>
<p>The nursing profession is particularly associated with caring for the culture of teamwork, loyalty to colleagues and professional identity. This condition enhances the 'super nurse phenomenon', even though nurses do not feel physically and psychologically able to work.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>A multicentre, cross-sectional study was conducted in three different country contexts: Oviedo (Spain), Porto (Portugal) and São Paulo (Brazil). Nurses performing functions in hospitals and primary health care were enrolled. Informed consent and data collection questionnaires were hand delivered. The Stanford Presenteeism Scale-6 was applied.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>A total of 659 nurses participated. Portuguese nurses showed greater prevalence of presenteeism, followed by Brazilian and Spanish nurses. Younger nurses with less professional experience presented lower levels of presenteeism but greater psychological commitment. Male participants showed lower capacity to complete work when ill than female participants.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>Age and length of professional experience proved to be significant predictors of total presenteeism, although only professional experience revealed statistical significance in the adjusted model.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>IMPLICATIONS FOR NURSING AND HEALTH POLICY</b>
</p>
<p>The knowledge of this phenomenon among nurses highlights the need for the development of strategies in the curriculum of nursing students and organizations. Resilience and ergonomic training should be applied in the training programmes of the students and reinforced by the health centre managers. It is essential that healthcare systems design worksite wellness programmes that pursue greater physical and mental well-being for healthcare professionals.</p>
</div>
</front>
</TEI>
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<DateCompleted><Year>2021</Year>
<Month>01</Month>
<Day>25</Day>
</DateCompleted>
<DateRevised><Year>2021</Year>
<Month>01</Month>
<Day>25</Day>
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<PubDate><Year>2020</Year>
<Month>Dec</Month>
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<Title>International nursing review</Title>
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<ArticleTitle>Presenteeism in nurses: comparative study of Spanish, Portuguese and Brazilian nurses.</ArticleTitle>
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<ELocationID EIdType="doi" ValidYN="Y">10.1111/inr.12615</ELocationID>
<Abstract><AbstractText Label="AIM" NlmCategory="OBJECTIVE">To compare presenteeism levels among three samples of nurses and to identify the relationship between presenteeism and sociodemographic and professional characteristics.</AbstractText>
<AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Presenteeism (going to work ill) is a phenomenon studied from different perspectives, and it has become especially important during the current COVID-19 outbreak; its connection to high healthcare costs, patient safety breaches and negative nurse well-being has been proved.</AbstractText>
<AbstractText Label="INTRODUCTION" NlmCategory="BACKGROUND">The nursing profession is particularly associated with caring for the culture of teamwork, loyalty to colleagues and professional identity. This condition enhances the 'super nurse phenomenon', even though nurses do not feel physically and psychologically able to work.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">A multicentre, cross-sectional study was conducted in three different country contexts: Oviedo (Spain), Porto (Portugal) and São Paulo (Brazil). Nurses performing functions in hospitals and primary health care were enrolled. Informed consent and data collection questionnaires were hand delivered. The Stanford Presenteeism Scale-6 was applied.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">A total of 659 nurses participated. Portuguese nurses showed greater prevalence of presenteeism, followed by Brazilian and Spanish nurses. Younger nurses with less professional experience presented lower levels of presenteeism but greater psychological commitment. Male participants showed lower capacity to complete work when ill than female participants.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Age and length of professional experience proved to be significant predictors of total presenteeism, although only professional experience revealed statistical significance in the adjusted model.</AbstractText>
<AbstractText Label="IMPLICATIONS FOR NURSING AND HEALTH POLICY" NlmCategory="UNASSIGNED">The knowledge of this phenomenon among nurses highlights the need for the development of strategies in the curriculum of nursing students and organizations. Resilience and ergonomic training should be applied in the training programmes of the students and reinforced by the health centre managers. It is essential that healthcare systems design worksite wellness programmes that pursue greater physical and mental well-being for healthcare professionals.</AbstractText>
<CopyrightInformation>© 2020 International Council of Nurses.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Mosteiro-Díaz</LastName>
<ForeName>Maria-Pilar</ForeName>
<Initials>MP</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0002-3375-9334</Identifier>
<AffiliationInfo><Affiliation>Faculty of Medicine and Health Sciences, University of Oviedo, Oviedo, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Baldonedo-Mosteiro</LastName>
<ForeName>Maria</ForeName>
<Initials>M</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0001-9729-7119</Identifier>
<AffiliationInfo><Affiliation>Faculty of Psychology, University of Oviedo, Asturias, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Borges</LastName>
<ForeName>Elisabete</ForeName>
<Initials>E</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0002-6478-1008</Identifier>
<AffiliationInfo><Affiliation>Nursing School of Porto, Porto, Portugal.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Baptista</LastName>
<ForeName>Patricia</ForeName>
<Initials>P</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0003-1433-6456</Identifier>
<AffiliationInfo><Affiliation>Nursing School of Sao Paulo, Sao Paulo, Brazil.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Queirós</LastName>
<ForeName>Cristina</ForeName>
<Initials>C</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0002-8045-5317</Identifier>
<AffiliationInfo><Affiliation>Faculty of Psychology and Educational Sciences, University of Porto, Porto, Portugal.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Sánchez-Zaballos</LastName>
<ForeName>Marta</ForeName>
<Initials>M</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0001-8379-5395</Identifier>
<AffiliationInfo><Affiliation>Faculty of Medicine and Health Sciences, Department of Medicine, Nursing Area, University of Oviedo, Asturias, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Felli</LastName>
<ForeName>Vanda</ForeName>
<Initials>V</Initials>
<AffiliationInfo><Affiliation>Nursing School of Sao Paulo, Sao Paulo, Brazil.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Abreu</LastName>
<ForeName>Margarida</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Nursing School of Porto, Porto, Portugal.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Silva</LastName>
<ForeName>Fábio</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>Hospital Universitario, HU, USP of São Paulo, Sao Paulo, Brazil.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Franco-Correia</LastName>
<ForeName>Sara</ForeName>
<Initials>S</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0001-5341-5419</Identifier>
<AffiliationInfo><Affiliation>Faculty of Medicine and Health Sciences, University of Oviedo, Oviedo, Spain.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType>
<PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D016448">Multicenter Study</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>08</Month>
<Day>26</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>Int Nurs Rev</MedlineTA>
<NlmUniqueID>7808754</NlmUniqueID>
<ISSNLinking>0020-8132</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<CitationSubset>N</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D001938" MajorTopicYN="N" Type="Geographic">Brazil</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000086382" MajorTopicYN="N">COVID-19</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000451" MajorTopicYN="Y">nursing</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D024802" MajorTopicYN="N">Nurse's Role</DescriptorName>
<QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009741" MajorTopicYN="N">Nursing Staff, Hospital</DescriptorName>
<QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName>
<QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016273" MajorTopicYN="N">Occupational Exposure</DescriptorName>
<QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011174" MajorTopicYN="N" Type="Geographic">Portugal</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000069597" MajorTopicYN="N">Presenteeism</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Brazil</Keyword>
<Keyword MajorTopicYN="N">Comparative Study</Keyword>
<Keyword MajorTopicYN="N">Nurses</Keyword>
<Keyword MajorTopicYN="N">Nursing</Keyword>
<Keyword MajorTopicYN="N">Occupational Health</Keyword>
<Keyword MajorTopicYN="N">Portugal</Keyword>
<Keyword MajorTopicYN="N">Presenteeism</Keyword>
<Keyword MajorTopicYN="N">Psyco</Keyword>
<Keyword MajorTopicYN="N">Spain</Keyword>
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</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year>
<Month>11</Month>
<Day>22</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2020</Year>
<Month>06</Month>
<Day>06</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>07</Month>
<Day>06</Day>
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<Month>8</Month>
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Presenteeism in nurses: comparative study of Spanish, Portuguese and Brazilian nurses.

Presenteeism in nurses: comparative study of Spanish, Portuguese and Brazilian nurses.

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