Cargando…

Turnover Intention determinants of EU hospital doctors and nurses: results from the METEOR survey

BACKGROUND: To contrast effectively the shortage of healthcare workers in the EU, it is essential to find the determinants of the intention to leave the hospital (ITL) by analyzing the role of burnout (BO), job satisfaction (JS), and other individual characteristics and working-related variables. Th...

Descripción completa

Detalles Bibliográficos
Autores principales: Enea, M, Maniscalco, L, Boone, A, Lavreysen, O, Godderis, L, de Vries, N, de Winter, P, Kowalska, M, Szemik, S, Matranga, D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10596247/
http://dx.doi.org/10.1093/eurpub/ckad160.745
_version_ 1785125059207102464
author Enea, M
Maniscalco, L
Boone, A
Lavreysen, O
Godderis, L
de Vries, N
de Winter, P
Kowalska, M
Szemik, S
Matranga, D
author_facet Enea, M
Maniscalco, L
Boone, A
Lavreysen, O
Godderis, L
de Vries, N
de Winter, P
Kowalska, M
Szemik, S
Matranga, D
author_sort Enea, M
collection PubMed
description BACKGROUND: To contrast effectively the shortage of healthcare workers in the EU, it is essential to find the determinants of the intention to leave the hospital (ITL) by analyzing the role of burnout (BO), job satisfaction (JS), and other individual characteristics and working-related variables. This study aims to estimate the prevalence of ITL for physicians and nurses in Europe, to investigate the determinants of ITL, and to suggest possible job retention policies. METHODS: The METEOR survey is a cross-sectional study on 8 hospitals of Belgium, The Netherlands, Italy, and Poland. Data collection was from May to September 2022. The theoretical model was the Job demands-resources model and validated questionnaires were used. ITL was assessed as agreement with the sentence “I intend to leave my current hospital for another one in the near future” and the response items were scored on a 5-point Likert scale. Two multivariable logistic models for ITL were estimated for both physicians and nurses, including JS, BO, and workers’ individual and hospital characteristics as covariates. RESULTS: The study included 381 physicians, and 1351 nurses. Physicians and nurses who agreed with ITL were 17% and 9%, respectively. Logistic models for physicians showed that by increasing JS (OR = 0.31, p < 0.001) as well as age (OR = 0.91, p < 0.001), and living with partner (vs alone) (OR = 0.56, p < 0.039), the odds of ITL decreased. For nurses, the model revealed that by increasing JS (OR = 0.27, p < 0.001), as well as age (OR = 0.97, p < 0.001), and equipment (OR = 0.56, p < 0.039), the odds of ITL decreased. CONCLUSIONS: Our survey showed high prevalence of ITL for both nurses and physicians. Recruitment and retention policies, at the micro/meso/macro-levels are needed. It is strategic to support healthcare workers’ categories at higher risk of ITL, such as the younger physicians and nurses. KEY MESSAGES: • Our survey found significant individual and work environment characteristics playing a role to explain ITL. • We provide an estimate of ITL prevalence of hospital physicians and nurses in EU.
format Online
Article
Text
id pubmed-10596247
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-105962472023-10-25 Turnover Intention determinants of EU hospital doctors and nurses: results from the METEOR survey Enea, M Maniscalco, L Boone, A Lavreysen, O Godderis, L de Vries, N de Winter, P Kowalska, M Szemik, S Matranga, D Eur J Public Health Parallel Programme BACKGROUND: To contrast effectively the shortage of healthcare workers in the EU, it is essential to find the determinants of the intention to leave the hospital (ITL) by analyzing the role of burnout (BO), job satisfaction (JS), and other individual characteristics and working-related variables. This study aims to estimate the prevalence of ITL for physicians and nurses in Europe, to investigate the determinants of ITL, and to suggest possible job retention policies. METHODS: The METEOR survey is a cross-sectional study on 8 hospitals of Belgium, The Netherlands, Italy, and Poland. Data collection was from May to September 2022. The theoretical model was the Job demands-resources model and validated questionnaires were used. ITL was assessed as agreement with the sentence “I intend to leave my current hospital for another one in the near future” and the response items were scored on a 5-point Likert scale. Two multivariable logistic models for ITL were estimated for both physicians and nurses, including JS, BO, and workers’ individual and hospital characteristics as covariates. RESULTS: The study included 381 physicians, and 1351 nurses. Physicians and nurses who agreed with ITL were 17% and 9%, respectively. Logistic models for physicians showed that by increasing JS (OR = 0.31, p < 0.001) as well as age (OR = 0.91, p < 0.001), and living with partner (vs alone) (OR = 0.56, p < 0.039), the odds of ITL decreased. For nurses, the model revealed that by increasing JS (OR = 0.27, p < 0.001), as well as age (OR = 0.97, p < 0.001), and equipment (OR = 0.56, p < 0.039), the odds of ITL decreased. CONCLUSIONS: Our survey showed high prevalence of ITL for both nurses and physicians. Recruitment and retention policies, at the micro/meso/macro-levels are needed. It is strategic to support healthcare workers’ categories at higher risk of ITL, such as the younger physicians and nurses. KEY MESSAGES: • Our survey found significant individual and work environment characteristics playing a role to explain ITL. • We provide an estimate of ITL prevalence of hospital physicians and nurses in EU. Oxford University Press 2023-10-24 /pmc/articles/PMC10596247/ http://dx.doi.org/10.1093/eurpub/ckad160.745 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Parallel Programme
Enea, M
Maniscalco, L
Boone, A
Lavreysen, O
Godderis, L
de Vries, N
de Winter, P
Kowalska, M
Szemik, S
Matranga, D
Turnover Intention determinants of EU hospital doctors and nurses: results from the METEOR survey
title Turnover Intention determinants of EU hospital doctors and nurses: results from the METEOR survey
title_full Turnover Intention determinants of EU hospital doctors and nurses: results from the METEOR survey
title_fullStr Turnover Intention determinants of EU hospital doctors and nurses: results from the METEOR survey
title_full_unstemmed Turnover Intention determinants of EU hospital doctors and nurses: results from the METEOR survey
title_short Turnover Intention determinants of EU hospital doctors and nurses: results from the METEOR survey
title_sort turnover intention determinants of eu hospital doctors and nurses: results from the meteor survey
topic Parallel Programme
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10596247/
http://dx.doi.org/10.1093/eurpub/ckad160.745
work_keys_str_mv AT eneam turnoverintentiondeterminantsofeuhospitaldoctorsandnursesresultsfromthemeteorsurvey
AT maniscalcol turnoverintentiondeterminantsofeuhospitaldoctorsandnursesresultsfromthemeteorsurvey
AT boonea turnoverintentiondeterminantsofeuhospitaldoctorsandnursesresultsfromthemeteorsurvey
AT lavreyseno turnoverintentiondeterminantsofeuhospitaldoctorsandnursesresultsfromthemeteorsurvey
AT godderisl turnoverintentiondeterminantsofeuhospitaldoctorsandnursesresultsfromthemeteorsurvey
AT devriesn turnoverintentiondeterminantsofeuhospitaldoctorsandnursesresultsfromthemeteorsurvey
AT dewinterp turnoverintentiondeterminantsofeuhospitaldoctorsandnursesresultsfromthemeteorsurvey
AT kowalskam turnoverintentiondeterminantsofeuhospitaldoctorsandnursesresultsfromthemeteorsurvey
AT szemiks turnoverintentiondeterminantsofeuhospitaldoctorsandnursesresultsfromthemeteorsurvey
AT matrangad turnoverintentiondeterminantsofeuhospitaldoctorsandnursesresultsfromthemeteorsurvey