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Transformational leadership and predictors of resilience among registered nurses: a cross-sectional survey in an underserved area

BACKGROUND: High resilience increases nurses' ability to cope with job-related stressors and enhances job satisfaction and, consequently, their retention. The study aims to identify resilience predictors and perceptions of transformational leadership in a convenience sample of registered nurses...

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Autores principales: Salam, Hana’a Abdul, Dumit, Nuhad Yazbik, Clinton, Michael, Mahfoud, Ziyad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912636/
https://www.ncbi.nlm.nih.gov/pubmed/36759906
http://dx.doi.org/10.1186/s12912-023-01192-1
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author Salam, Hana’a Abdul
Dumit, Nuhad Yazbik
Clinton, Michael
Mahfoud, Ziyad
author_facet Salam, Hana’a Abdul
Dumit, Nuhad Yazbik
Clinton, Michael
Mahfoud, Ziyad
author_sort Salam, Hana’a Abdul
collection PubMed
description BACKGROUND: High resilience increases nurses' ability to cope with job-related stressors and enhances job satisfaction and, consequently, their retention. The study aims to identify resilience predictors and perceptions of transformational leadership in a convenience sample of registered nurses in Lebanon. METHODS: An anonymous cross-sectional survey of a convenience sample of 240 registered nurses working for more than a year at three private hospitals in an underserved area in South Lebanon was used. The survey instrument included demographic questions, the True Resilience Scale ©, and the Global Transformational Leadership Scale. Multiple linear regression was used to assess the predictors of resilience after a descriptive analysis of the study variables. RESULTS: The survey response rate was 85%. The nurses' mean resilience score was 119.4 (SD 15.3), and their perception of transformational leadership score was M = 25.0, SD = 6.8. Compared to bedside nurses, nurse managers, nurses with more than five years of experience, and nurses in critical nursing units had statistically significant higher resilience scores (p < 0.05). Resilience scores and perception of global transformational leadership were moderately correlated (r = 0.53, p < 0.05). In the final multiple linear regression model, 30% of the variation in resilience scores was explained by designation (p < 0.05) and perception of Global Transformational Leadership (p < 0.01). Perception of global transformational leadership scores explained 29% of the variance in resilience scores. Designation and perception of global transformational leadership predicted resilience in this sample. CONCLUSIONS: A national survey of the Lebanese nursing workforce is needed to achieve an improved predictive model and support policy developments to increase resilience among bedside nurses and retain them in the nursing workforce. Nurse administrators can help by strengthening their transformational leadership behaviors. Consistent use of transformational leadership styles will strengthen bedside nurses' resilience, increase nurse retention, and help sustain the Lebanese nursing workforce.
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spelling pubmed-99126362023-02-11 Transformational leadership and predictors of resilience among registered nurses: a cross-sectional survey in an underserved area Salam, Hana’a Abdul Dumit, Nuhad Yazbik Clinton, Michael Mahfoud, Ziyad BMC Nurs Research BACKGROUND: High resilience increases nurses' ability to cope with job-related stressors and enhances job satisfaction and, consequently, their retention. The study aims to identify resilience predictors and perceptions of transformational leadership in a convenience sample of registered nurses in Lebanon. METHODS: An anonymous cross-sectional survey of a convenience sample of 240 registered nurses working for more than a year at three private hospitals in an underserved area in South Lebanon was used. The survey instrument included demographic questions, the True Resilience Scale ©, and the Global Transformational Leadership Scale. Multiple linear regression was used to assess the predictors of resilience after a descriptive analysis of the study variables. RESULTS: The survey response rate was 85%. The nurses' mean resilience score was 119.4 (SD 15.3), and their perception of transformational leadership score was M = 25.0, SD = 6.8. Compared to bedside nurses, nurse managers, nurses with more than five years of experience, and nurses in critical nursing units had statistically significant higher resilience scores (p < 0.05). Resilience scores and perception of global transformational leadership were moderately correlated (r = 0.53, p < 0.05). In the final multiple linear regression model, 30% of the variation in resilience scores was explained by designation (p < 0.05) and perception of Global Transformational Leadership (p < 0.01). Perception of global transformational leadership scores explained 29% of the variance in resilience scores. Designation and perception of global transformational leadership predicted resilience in this sample. CONCLUSIONS: A national survey of the Lebanese nursing workforce is needed to achieve an improved predictive model and support policy developments to increase resilience among bedside nurses and retain them in the nursing workforce. Nurse administrators can help by strengthening their transformational leadership behaviors. Consistent use of transformational leadership styles will strengthen bedside nurses' resilience, increase nurse retention, and help sustain the Lebanese nursing workforce. BioMed Central 2023-02-10 /pmc/articles/PMC9912636/ /pubmed/36759906 http://dx.doi.org/10.1186/s12912-023-01192-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Salam, Hana’a Abdul
Dumit, Nuhad Yazbik
Clinton, Michael
Mahfoud, Ziyad
Transformational leadership and predictors of resilience among registered nurses: a cross-sectional survey in an underserved area
title Transformational leadership and predictors of resilience among registered nurses: a cross-sectional survey in an underserved area
title_full Transformational leadership and predictors of resilience among registered nurses: a cross-sectional survey in an underserved area
title_fullStr Transformational leadership and predictors of resilience among registered nurses: a cross-sectional survey in an underserved area
title_full_unstemmed Transformational leadership and predictors of resilience among registered nurses: a cross-sectional survey in an underserved area
title_short Transformational leadership and predictors of resilience among registered nurses: a cross-sectional survey in an underserved area
title_sort transformational leadership and predictors of resilience among registered nurses: a cross-sectional survey in an underserved area
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912636/
https://www.ncbi.nlm.nih.gov/pubmed/36759906
http://dx.doi.org/10.1186/s12912-023-01192-1
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