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Examining the pathways by which work–life balance influences safety culture among healthcare workers in Taiwan: path analysis of data from a cross-sectional survey on patient safety culture among hospital staff

OBJECTIVE: The aim of this study is to examine the pathways by which work–life balance influences safety climate in hospital settings. DESIGN: A national cross-sectional survey on patient safety culture. SETTINGS: Healthcare workers from 56 hospitals in Taiwan, covering three work settings: intensiv...

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Autores principales: Tran, Yvonne, Liao, Hsun-Hsiang, Yeh, En-Hui, Ellis, Louise A, Clay-Williams, Robyn, Braithwaite, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565544/
https://www.ncbi.nlm.nih.gov/pubmed/34728459
http://dx.doi.org/10.1136/bmjopen-2021-054143
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author Tran, Yvonne
Liao, Hsun-Hsiang
Yeh, En-Hui
Ellis, Louise A
Clay-Williams, Robyn
Braithwaite, Jeffrey
author_facet Tran, Yvonne
Liao, Hsun-Hsiang
Yeh, En-Hui
Ellis, Louise A
Clay-Williams, Robyn
Braithwaite, Jeffrey
author_sort Tran, Yvonne
collection PubMed
description OBJECTIVE: The aim of this study is to examine the pathways by which work–life balance influences safety climate in hospital settings. DESIGN: A national cross-sectional survey on patient safety culture. SETTINGS: Healthcare workers from 56 hospitals in Taiwan, covering three work settings: intensive care units, operation rooms and emergency departments. PARTICIPANTS: 14 345 healthcare workers took part in the survey and were included in the present analysis. PRIMARY AND SECONDARY OUTCOME MEASURES: The Safety Attitudes, Maslach’s Burn-out Inventory and Work–life balance questionnaires were used to measure patient safety culture, teamwork, leadership, emotional exhaustion and work–life balance. Path analysis was conducted to determine the relationship between work–life balance and safety climate. We tested for mediating and moderating factors influencing this relationship. RESULTS: The path between work–life balance and safety climate was found to be significant (b=0.32, p<0.001) and explained through a serial mediation. This relationship was found to be mediated by emotional exhaustion followed by teamwork climate in a full mediation. Leadership factors such as identifying as a manager, moderated the indirect pathway between work–life balance and safety climate through teamwork climate (index of moderation: b=0.083, bias corrected 95% CI 0.044 to 0.120) but not through emotional exhaustion or the serial pathway. Subgroup analysis from non-managers on their perception of management was also found to moderate this relationship. CONCLUSION: We found work–life balance to be associated with safety climate through a fully mediated model. The mediation pathways are moderated by self-identified leadership and perceptions of leadership. Understanding the pathways on how work–life balance influences safety climate provides an explanatory model that can be used when designing effective interventions for implementation in system-based approaches to improve patient safety culture in hospital settings.
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spelling pubmed-85655442021-11-16 Examining the pathways by which work–life balance influences safety culture among healthcare workers in Taiwan: path analysis of data from a cross-sectional survey on patient safety culture among hospital staff Tran, Yvonne Liao, Hsun-Hsiang Yeh, En-Hui Ellis, Louise A Clay-Williams, Robyn Braithwaite, Jeffrey BMJ Open Medical Management OBJECTIVE: The aim of this study is to examine the pathways by which work–life balance influences safety climate in hospital settings. DESIGN: A national cross-sectional survey on patient safety culture. SETTINGS: Healthcare workers from 56 hospitals in Taiwan, covering three work settings: intensive care units, operation rooms and emergency departments. PARTICIPANTS: 14 345 healthcare workers took part in the survey and were included in the present analysis. PRIMARY AND SECONDARY OUTCOME MEASURES: The Safety Attitudes, Maslach’s Burn-out Inventory and Work–life balance questionnaires were used to measure patient safety culture, teamwork, leadership, emotional exhaustion and work–life balance. Path analysis was conducted to determine the relationship between work–life balance and safety climate. We tested for mediating and moderating factors influencing this relationship. RESULTS: The path between work–life balance and safety climate was found to be significant (b=0.32, p<0.001) and explained through a serial mediation. This relationship was found to be mediated by emotional exhaustion followed by teamwork climate in a full mediation. Leadership factors such as identifying as a manager, moderated the indirect pathway between work–life balance and safety climate through teamwork climate (index of moderation: b=0.083, bias corrected 95% CI 0.044 to 0.120) but not through emotional exhaustion or the serial pathway. Subgroup analysis from non-managers on their perception of management was also found to moderate this relationship. CONCLUSION: We found work–life balance to be associated with safety climate through a fully mediated model. The mediation pathways are moderated by self-identified leadership and perceptions of leadership. Understanding the pathways on how work–life balance influences safety climate provides an explanatory model that can be used when designing effective interventions for implementation in system-based approaches to improve patient safety culture in hospital settings. BMJ Publishing Group 2021-11-02 /pmc/articles/PMC8565544/ /pubmed/34728459 http://dx.doi.org/10.1136/bmjopen-2021-054143 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Medical Management
Tran, Yvonne
Liao, Hsun-Hsiang
Yeh, En-Hui
Ellis, Louise A
Clay-Williams, Robyn
Braithwaite, Jeffrey
Examining the pathways by which work–life balance influences safety culture among healthcare workers in Taiwan: path analysis of data from a cross-sectional survey on patient safety culture among hospital staff
title Examining the pathways by which work–life balance influences safety culture among healthcare workers in Taiwan: path analysis of data from a cross-sectional survey on patient safety culture among hospital staff
title_full Examining the pathways by which work–life balance influences safety culture among healthcare workers in Taiwan: path analysis of data from a cross-sectional survey on patient safety culture among hospital staff
title_fullStr Examining the pathways by which work–life balance influences safety culture among healthcare workers in Taiwan: path analysis of data from a cross-sectional survey on patient safety culture among hospital staff
title_full_unstemmed Examining the pathways by which work–life balance influences safety culture among healthcare workers in Taiwan: path analysis of data from a cross-sectional survey on patient safety culture among hospital staff
title_short Examining the pathways by which work–life balance influences safety culture among healthcare workers in Taiwan: path analysis of data from a cross-sectional survey on patient safety culture among hospital staff
title_sort examining the pathways by which work–life balance influences safety culture among healthcare workers in taiwan: path analysis of data from a cross-sectional survey on patient safety culture among hospital staff
topic Medical Management
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565544/
https://www.ncbi.nlm.nih.gov/pubmed/34728459
http://dx.doi.org/10.1136/bmjopen-2021-054143
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