A Battistelli1, I Portoghese, M Galletta, S Pohl. 1. Laboratory Epsylon Dynamics of Human Abilities and Health Behaviors, Université Paul Valéry Montpellier 3, Montpellier, France. adalgisa.battistelli@univ-montp3.fr
Abstract
AIM: This paper aimed to extend research on nurse turnover by developing and testing a theoretical model of turnover intention that includes two emergent key off-the-job constructs, work-family conflict (WFC) and community embeddedness (CE). BACKGROUND: Nurse turnover is considered one of the most significant issues in health care. There is a considerable body of knowledge that has focused on the study of the on-the-job factors of nurse turnover, showing the important role of job attitudes. Recently, WFC and job embeddedness (JE) have been identified as variables that could help explain levels of nurse turnover. METHODS: Using structural equation modelling from a cross-sectional survey, the relationships between the variables were explored in a sample of 440 nurses from an Italian public hospital. The questionnaire measures demographic data and psychosocial factors such as job satisfaction, organizational commitment, WFC, CE and turnover intentions. RESULTS: The findings supported the importance of non-work dimensions in turnover models. CONCLUSIONS: The results suggest that when studying turnover phenomena in health organizations, the extra-work domains (WFC and JE) can contribute to a decrease in the intention to leave, in addition to the more typically emphasized attitude dimension.
AIM: This paper aimed to extend research on nurse turnover by developing and testing a theoretical model of turnover intention that includes two emergent key off-the-job constructs, work-family conflict (WFC) and community embeddedness (CE). BACKGROUND: Nurse turnover is considered one of the most significant issues in health care. There is a considerable body of knowledge that has focused on the study of the on-the-job factors of nurse turnover, showing the important role of job attitudes. Recently, WFC and job embeddedness (JE) have been identified as variables that could help explain levels of nurse turnover. METHODS: Using structural equation modelling from a cross-sectional survey, the relationships between the variables were explored in a sample of 440 nurses from an Italian public hospital. The questionnaire measures demographic data and psychosocial factors such as job satisfaction, organizational commitment, WFC, CE and turnover intentions. RESULTS: The findings supported the importance of non-work dimensions in turnover models. CONCLUSIONS: The results suggest that when studying turnover phenomena in health organizations, the extra-work domains (WFC and JE) can contribute to a decrease in the intention to leave, in addition to the more typically emphasized attitude dimension.
Authors: Mercedes Rodríguez-Fernández; Juan Herrera; Carlos de Las Heras-Rosas Journal: Int J Environ Res Public Health Date: 2021-04-23 Impact factor: 3.390
Authors: Maura Galletta; Igor Portoghese; Marta Ciuffi; Federica Sancassiani; Ernesto D' Aloja; Marcello Campagna Journal: Clin Pract Epidemiol Ment Health Date: 2016-11-11