AutomedicationFrancoV1, Main, Exploration, bibRecord, 000531

Influence of medical shortage on GP burnout: a cross-sectional study.

Identifieur interne : 000531 ( Main/Exploration ); précédent : 000530; suivant : 000532

Influence of medical shortage on GP burnout: a cross-sectional study.

Auteurs : Guillaume Picquendar [France] ; Antoine Guedon [France] ; Fanny Moulinet [France] ; Matthieu Schuers [France]

Source :

Family practice [ 1460-2229 ] ; 2019.

RBID : pubmed:30184075

Descripteurs français

KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Analyse multifactorielle (MeSH), Autorapport (MeSH), Charge de travail (psychologie), Dépersonnalisation (étiologie), Enquêtes et questionnaires (MeSH), Femelle (MeSH), France (épidémiologie), Humains (MeSH), Modèles logistiques (MeSH), Mâle (MeSH), Médecins généralistes (psychologie), Médecins généralistes (ressources et distribution), Prévalence (MeSH), Satisfaction professionnelle (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Zone médicalement sous-équipée (MeSH), Épuisement professionnel (épidémiologie), Études transversales (MeSH).
MESH :
- psychologie : Charge de travail, Médecins généralistes.
- ressources et distribution : Médecins généralistes.
- épidémiologie : France, Épuisement professionnel.
- étiologie : Dépersonnalisation.
- Adulte, Adulte d'âge moyen, Analyse multifactorielle, Autorapport, Enquêtes et questionnaires, Femelle, Humains, Modèles logistiques, Mâle, Prévalence, Satisfaction professionnelle, Sujet âgé, Sujet âgé de 80 ans ou plus, Zone médicalement sous-équipée, Études transversales.
Wicri :
- geographic : France.

English descriptors

KwdEn :
- Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Burnout, Professional (epidemiology), Cross-Sectional Studies (MeSH), Depersonalization (etiology), Female (MeSH), France (epidemiology), General Practitioners (psychology), General Practitioners (supply & distribution), Humans (MeSH), Job Satisfaction (MeSH), Logistic Models (MeSH), Male (MeSH), Medically Underserved Area (MeSH), Middle Aged (MeSH), Multivariate Analysis (MeSH), Prevalence (MeSH), Psychological Distress (MeSH), Self Report (MeSH), Surveys and Questionnaires (MeSH), Workload (psychology).
MESH :
- geographic , epidemiology : France.
- epidemiology : Burnout, Professional.
- etiology : Depersonalization.
- psychology : General Practitioners, Workload.
- supply & distribution : General Practitioners.
- Adult, Aged, Aged, 80 and over, Cross-Sectional Studies, Female, Humans, Job Satisfaction, Logistic Models, Male, Medically Underserved Area, Middle Aged, Multivariate Analysis, Prevalence, Psychological Distress, Self Report, Surveys and Questionnaires.

Abstract

BACKGROUND

Burnout is a common occurrence among GPs, decreasing quality of and access to care and impacting both physician and patient health. The link between burnout and low medical density has never been studied.

OBJECTIVES

This study aimed to assess the prevalence of burnout and its related factors, including low medical density, among GPs.

METHOD

We conducted a cross-sectional survey. A self-administered questionnaire was sent to all of the 1632 GPs in Normandy, France, in September 2015. The Maslach Burnout Inventory was used to assess the three burnout dimensions: emotional exhaustion (EE), depersonalization (DP) and low personal accomplishment (PA).

RESULTS

In all, 501 GPs sent back their questionnaire (response rate: 30.7%); 487 questionnaires were analysed. Burnout had been experienced by 43.3% of the physicians in the sample. Nearly 24% of the respondents scored high EE, 27.3% scored high DP, and 13.3% scored low PA. Low medical density [odds ratios (OR): 2.16 (1.31-3.54)], and intent to quit [OR: 4.40 (2.59-7.47)] were strongly linked to the three burnout dimensions. Burnout was not linked with quantitative workload.

CONCLUSION

Burnout among GPs was common. Low medical density and intent to quit were strong predictors of burnout. Given the current medical demographic crisis, these results highlight the relationship between burnout and medical shortage. Qualitative workload may have a more significant influence on burnout than quantitative workload. Recruiting more GPs is necessary, but may prove insufficient in fighting burnout. Preventive and curative actions are required, especially in areas with low medical density.

DOI: 10.1093/fampra/cmy080
PubMed: 30184075

Affiliations:

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

to stream Main, to step Corpus: 000723
to stream Main, to step Curation: 000723

Le document en format XML

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<term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Burnout, Professional (epidemiology)</term>
<term>Cross-Sectional Studies (MeSH)</term>
<term>Depersonalization (etiology)</term>
<term>Female (MeSH)</term>
<term>France (epidemiology)</term>
<term>General Practitioners (psychology)</term>
<term>General Practitioners (supply & distribution)</term>
<term>Humans (MeSH)</term>
<term>Job Satisfaction (MeSH)</term>
<term>Logistic Models (MeSH)</term>
<term>Male (MeSH)</term>
<term>Medically Underserved Area (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Multivariate Analysis (MeSH)</term>
<term>Prevalence (MeSH)</term>
<term>Psychological Distress (MeSH)</term>
<term>Self Report (MeSH)</term>
<term>Surveys and Questionnaires (MeSH)</term>
<term>Workload (psychology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Analyse multifactorielle (MeSH)</term>
<term>Autorapport (MeSH)</term>
<term>Charge de travail (psychologie)</term>
<term>Dépersonnalisation (étiologie)</term>
<term>Enquêtes et questionnaires (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>France (épidémiologie)</term>
<term>Humains (MeSH)</term>
<term>Modèles logistiques (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Médecins généralistes (psychologie)</term>
<term>Médecins généralistes (ressources et distribution)</term>
<term>Prévalence (MeSH)</term>
<term>Satisfaction professionnelle (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Sujet âgé de 80 ans ou plus (MeSH)</term>
<term>Zone médicalement sous-équipée (MeSH)</term>
<term>Épuisement professionnel (épidémiologie)</term>
<term>Études transversales (MeSH)</term>
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<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>France</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Burnout, Professional</term>
</keywords>
<keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Depersonalization</term>
</keywords>
<keywords scheme="MESH" qualifier="psychologie" xml:lang="fr"><term>Charge de travail</term>
<term>Médecins généralistes</term>
</keywords>
<keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>General Practitioners</term>
<term>Workload</term>
</keywords>
<keywords scheme="MESH" qualifier="ressources et distribution" xml:lang="fr"><term>Médecins généralistes</term>
</keywords>
<keywords scheme="MESH" qualifier="supply & distribution" xml:lang="en"><term>General Practitioners</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>France</term>
<term>Épuisement professionnel</term>
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<keywords scheme="MESH" qualifier="étiologie" xml:lang="fr"><term>Dépersonnalisation</term>
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<keywords scheme="MESH" xml:lang="en"><term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Cross-Sectional Studies</term>
<term>Female</term>
<term>Humans</term>
<term>Job Satisfaction</term>
<term>Logistic Models</term>
<term>Male</term>
<term>Medically Underserved Area</term>
<term>Middle Aged</term>
<term>Multivariate Analysis</term>
<term>Prevalence</term>
<term>Psychological Distress</term>
<term>Self Report</term>
<term>Surveys and Questionnaires</term>
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<term>Adulte d'âge moyen</term>
<term>Analyse multifactorielle</term>
<term>Autorapport</term>
<term>Enquêtes et questionnaires</term>
<term>Femelle</term>
<term>Humains</term>
<term>Modèles logistiques</term>
<term>Mâle</term>
<term>Prévalence</term>
<term>Satisfaction professionnelle</term>
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>Burnout is a common occurrence among GPs, decreasing quality of and access to care and impacting both physician and patient health. The link between burnout and low medical density has never been studied.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>OBJECTIVES</b>
</p>
<p>This study aimed to assess the prevalence of burnout and its related factors, including low medical density, among GPs.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHOD</b>
</p>
<p>We conducted a cross-sectional survey. A self-administered questionnaire was sent to all of the 1632 GPs in Normandy, France, in September 2015. The Maslach Burnout Inventory was used to assess the three burnout dimensions: emotional exhaustion (EE), depersonalization (DP) and low personal accomplishment (PA).</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>In all, 501 GPs sent back their questionnaire (response rate: 30.7%); 487 questionnaires were analysed. Burnout had been experienced by 43.3% of the physicians in the sample. Nearly 24% of the respondents scored high EE, 27.3% scored high DP, and 13.3% scored low PA. Low medical density [odds ratios (OR): 2.16 (1.31-3.54)], and intent to quit [OR: 4.40 (2.59-7.47)] were strongly linked to the three burnout dimensions. Burnout was not linked with quantitative workload.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>Burnout among GPs was common. Low medical density and intent to quit were strong predictors of burnout. Given the current medical demographic crisis, these results highlight the relationship between burnout and medical shortage. Qualitative workload may have a more significant influence on burnout than quantitative workload. Recruiting more GPs is necessary, but may prove insufficient in fighting burnout. Preventive and curative actions are required, especially in areas with low medical density.</p>
</div>
</front>
</TEI>
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<DateCompleted><Year>2020</Year>
<Month>01</Month>
<Day>07</Day>
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<DateRevised><Year>2020</Year>
<Month>01</Month>
<Day>07</Day>
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<Issue>3</Issue>
<PubDate><Year>2019</Year>
<Month>05</Month>
<Day>23</Day>
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<Title>Family practice</Title>
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<ArticleTitle>Influence of medical shortage on GP burnout: a cross-sectional study.</ArticleTitle>
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<Abstract><AbstractText Label="BACKGROUND">Burnout is a common occurrence among GPs, decreasing quality of and access to care and impacting both physician and patient health. The link between burnout and low medical density has never been studied.</AbstractText>
<AbstractText Label="OBJECTIVES">This study aimed to assess the prevalence of burnout and its related factors, including low medical density, among GPs.</AbstractText>
<AbstractText Label="METHOD">We conducted a cross-sectional survey. A self-administered questionnaire was sent to all of the 1632 GPs in Normandy, France, in September 2015. The Maslach Burnout Inventory was used to assess the three burnout dimensions: emotional exhaustion (EE), depersonalization (DP) and low personal accomplishment (PA).</AbstractText>
<AbstractText Label="RESULTS">In all, 501 GPs sent back their questionnaire (response rate: 30.7%); 487 questionnaires were analysed. Burnout had been experienced by 43.3% of the physicians in the sample. Nearly 24% of the respondents scored high EE, 27.3% scored high DP, and 13.3% scored low PA. Low medical density [odds ratios (OR): 2.16 (1.31-3.54)], and intent to quit [OR: 4.40 (2.59-7.47)] were strongly linked to the three burnout dimensions. Burnout was not linked with quantitative workload.</AbstractText>
<AbstractText Label="CONCLUSION">Burnout among GPs was common. Low medical density and intent to quit were strong predictors of burnout. Given the current medical demographic crisis, these results highlight the relationship between burnout and medical shortage. Qualitative workload may have a more significant influence on burnout than quantitative workload. Recruiting more GPs is necessary, but may prove insufficient in fighting burnout. Preventive and curative actions are required, especially in areas with low medical density.</AbstractText>
<CopyrightInformation>© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</CopyrightInformation>
</Abstract>
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<Keyword MajorTopicYN="Y">psychological stress</Keyword>
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Influence of medical shortage on GP burnout: a cross-sectional study.

Influence of medical shortage on GP burnout: a cross-sectional study.

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