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Determinants of nurse job dissatisfaction - findings from a cross-sectional survey analysis in the UK

BACKGROUND: A lower recruitment and high turnover rate of registered nurses have resulted in a global shortage of nurses. In the UK, prior to the COVID-19 epidemic, nurses’ intention to leave rates were between 30 and 50% suggesting a high level of job dissatisfaction. METHODS: In this study, we ana...

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Autores principales: Senek, Michaela, Robertson, Steven, Ryan, Tony, King, Rachel, Wood, Emily, Taylor, Bethany, Tod, Angela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499408/
https://www.ncbi.nlm.nih.gov/pubmed/32963498
http://dx.doi.org/10.1186/s12912-020-00481-3
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author Senek, Michaela
Robertson, Steven
Ryan, Tony
King, Rachel
Wood, Emily
Taylor, Bethany
Tod, Angela
author_facet Senek, Michaela
Robertson, Steven
Ryan, Tony
King, Rachel
Wood, Emily
Taylor, Bethany
Tod, Angela
author_sort Senek, Michaela
collection PubMed
description BACKGROUND: A lower recruitment and high turnover rate of registered nurses have resulted in a global shortage of nurses. In the UK, prior to the COVID-19 epidemic, nurses’ intention to leave rates were between 30 and 50% suggesting a high level of job dissatisfaction. METHODS: In this study, we analysed data from a cross-sectional mixed-methods survey developed by the Royal College of Nursing and administered to the nursing workforce across all four UK nations, to explore the levels of dissatisfaction and demoralisation- one of the predictors of nurses’ intention to leave. We carried out logistic regression analysis on available data in order to determine what impacts job dissatisfaction. RESULTS: In total, 1742 nurses responded to questions about working conditions on their last shift. We found that nearly two-thirds of respondents were demoralised. Nurses were five times more likely (OR 5.08, 95% CI: 3.82–6.60) to feel demoralised if they reported missed care. A perceived lack of support had nearly the same impact on the level of demoralisation (OR 4.8, 95% CI: 3.67–6.38). These findings were reflected in the qualitative findings where RNs reported how staffing issues and failures in leadership, left them feeling disempowered and demoralised. CONCLUSION: A large proportion of nurses reported feeling dissatisfied and demoralised. In order to reduce the negative impact of dissatisfaction and improve retention, more research needs to investigate the relationship dynamics within healthcare teams and how the burden experienced by RNs when unsupported by managers impacts on their ability to provide safe, good-quality care. These findings predate the current Covid-19 pandemic outbreak which may have had a further detrimental effect on job satisfaction in the UK and other nation’s nursing workforce.
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spelling pubmed-74994082020-09-18 Determinants of nurse job dissatisfaction - findings from a cross-sectional survey analysis in the UK Senek, Michaela Robertson, Steven Ryan, Tony King, Rachel Wood, Emily Taylor, Bethany Tod, Angela BMC Nurs Research Article BACKGROUND: A lower recruitment and high turnover rate of registered nurses have resulted in a global shortage of nurses. In the UK, prior to the COVID-19 epidemic, nurses’ intention to leave rates were between 30 and 50% suggesting a high level of job dissatisfaction. METHODS: In this study, we analysed data from a cross-sectional mixed-methods survey developed by the Royal College of Nursing and administered to the nursing workforce across all four UK nations, to explore the levels of dissatisfaction and demoralisation- one of the predictors of nurses’ intention to leave. We carried out logistic regression analysis on available data in order to determine what impacts job dissatisfaction. RESULTS: In total, 1742 nurses responded to questions about working conditions on their last shift. We found that nearly two-thirds of respondents were demoralised. Nurses were five times more likely (OR 5.08, 95% CI: 3.82–6.60) to feel demoralised if they reported missed care. A perceived lack of support had nearly the same impact on the level of demoralisation (OR 4.8, 95% CI: 3.67–6.38). These findings were reflected in the qualitative findings where RNs reported how staffing issues and failures in leadership, left them feeling disempowered and demoralised. CONCLUSION: A large proportion of nurses reported feeling dissatisfied and demoralised. In order to reduce the negative impact of dissatisfaction and improve retention, more research needs to investigate the relationship dynamics within healthcare teams and how the burden experienced by RNs when unsupported by managers impacts on their ability to provide safe, good-quality care. These findings predate the current Covid-19 pandemic outbreak which may have had a further detrimental effect on job satisfaction in the UK and other nation’s nursing workforce. BioMed Central 2020-09-18 /pmc/articles/PMC7499408/ /pubmed/32963498 http://dx.doi.org/10.1186/s12912-020-00481-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Senek, Michaela
Robertson, Steven
Ryan, Tony
King, Rachel
Wood, Emily
Taylor, Bethany
Tod, Angela
Determinants of nurse job dissatisfaction - findings from a cross-sectional survey analysis in the UK
title Determinants of nurse job dissatisfaction - findings from a cross-sectional survey analysis in the UK
title_full Determinants of nurse job dissatisfaction - findings from a cross-sectional survey analysis in the UK
title_fullStr Determinants of nurse job dissatisfaction - findings from a cross-sectional survey analysis in the UK
title_full_unstemmed Determinants of nurse job dissatisfaction - findings from a cross-sectional survey analysis in the UK
title_short Determinants of nurse job dissatisfaction - findings from a cross-sectional survey analysis in the UK
title_sort determinants of nurse job dissatisfaction - findings from a cross-sectional survey analysis in the uk
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499408/
https://www.ncbi.nlm.nih.gov/pubmed/32963498
http://dx.doi.org/10.1186/s12912-020-00481-3
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