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Abstract Background Nurses show a high prevalence of exhaustion and increased leaving intentions. With this study, we integrate established research about turnover intention with recent burnout literature and present a theoretical model that combines both. The aim of this study was to examine job demands (time pressure, social conflicts) and resources (job control, supervisor support, task identity, person-organisation fit) as drivers and health and age as moderators for the relationships between exhaustion and nurses’ organisational and professional leaving intentions. Methods We analysed data from a standardised paper-pencil questionnaire survey with a prospective, two-wave (12 months apart) study design. In total, 584 nurses participated at Time 1 (t1). The final sample at Time 2 (t2) was n = 222 nurses (38%; age: M = 41.1 years, SD = 11.0; 88% females). Results We identified time pressure as job demand and job control, task identity, and person-organisation fit as resources that drive the relationships of exhaustion (mean between both times of measures) and organisational and professional leaving intentions. The relationships to organisational leaving intentions decreased with nurses’ age and the relationships to professional leaving intentions increased for nurses who had poorer self-rated health. We found indirect effects of exhaustion for relationships between job demands and nurses’ leaving intentions. Relationships to exhaustion remained significant after adjusting for depressive mood. Conclusion Insights from this study can be used both by employers and employees. Redesigning work might be a promising approach to improve nurses’ well-being and retention in this profession. Geriatric care facilities should include the concept of person-organisation fit into their personnel selection process.

Aims: This study's objective was to investigate possible associations between the frequency of temporary nurse deployments and permanently-employed nurses' outcomes including staffing levels in Swiss psychiatric hospitals. Background: Faced with widespread nursing shortages, some nursing managers frequently deploy temporary nurses to meet their staffing needs. While various studies have investigated the relationships between temporary nurses' deployment and permanently-employed nurse outcomes, few anywhere, and none in Switzerland, have explored such deployments' relationships with permanently-employed nurses' job satisfaction, burnout, or intent to leave their organization or profession. Furthermore, especially in psychiatric hospitals, research on temporary nurse deployments and their association with permanently-employed nurses' outcomes remains scarce. Methods: This secondary analysis is based on the MatchRN Psychiatry study, which included 79 psychiatric units and 651 nurses. Using descriptive analyses and linear mixed modeling, we assessed the frequency of temporary nurses' deployment and its association with four permanently-employed nurse outcomes: staffing levels, job satisfaction, burnout, and intention to leave their organization or profession. Results: Roughly one-quarter of the studied units reported frequently deploying temporary nurses. Nonetheless, no differences in nurse staffing levels were found. Regarding permanently-employed nurses' outcomes, we identified slightly higher levels of intention to leave the profession (beta = 0.18; 95% CI [0.03-0.33]) and burnout (beta = 0.19; 95% CI [0.4-0.33]) on units where temporary nurses were frequently deployed. Conclusion: Deploying temporary nurses appears to help units maintain adequate staffing levels. However, additional research will be necessary to better understand whether working conditions are the common cause of temporary nurses' deployment and permanently-employed nurse outcomes. Until more information is available, unit managers should consider alternatives to deploying temporary nurses. [ABSTRACT FROM AUTHOR]

Aims This study’s objective was to investigate possible associations between the frequency of temporary nurse deployments and permanently-employed nurses’ outcomes including staffing levels in Swiss psychiatric hospitals. Background Faced with widespread nursing shortages, some nursing managers frequently deploy temporary nurses to meet their staffing needs. While various studies have investigated the relationships between temporary nurses’ deployment and permanently-employed nurse outcomes, few anywhere, and none in Switzerland, have explored such deployments’ relationships with permanently-employed nurses’ job satisfaction, burnout, or intent to leave their organization or profession. Furthermore, especially in psychiatric hospitals, research on temporary nurse deployments and their association with permanently-employed nurses’ outcomes remains scarce. Methods This secondary analysis is based on the MatchRN Psychiatry study, which included 79 psychiatric units and 651 nurses. Using descriptive analyses and linear mixed modeling, we assessed the frequency of temporary nurses’ deployment and its association with four permanently-employed nurse outcomes: staffing levels, job satisfaction, burnout, and intention to leave their organization or profession. Results Roughly one-quarter of the studied units reported frequently deploying temporary nurses. Nonetheless, no differences in nurse staffing levels were found. Regarding permanently-employed nurses’ outcomes, we identified slightly higher levels of intention to leave the profession (beta = 0.18; 95% CI [0.03–0.33]) and burnout (beta = 0.19; 95% CI [0.4–0.33]) on units where temporary nurses were frequently deployed. Conclusion Deploying temporary nurses appears to help units maintain adequate staffing levels. However, additional research will be necessary to better understand whether working conditions are the common cause of temporary nurses’ deployment and permanently-employed nurse outcomes. Until more information is available, unit managers should consider alternatives to deploying temporary nurses.

Background: Nurses show a high prevalence of exhaustion and increased leaving intentions. With this study, we integrate established research about turnover intention with recent burnout literature and present a theoretical model that combines both. The aim of this study was to examine job demands (time pressure, social conflicts) and resources (job control, supervisor support, task identity, person-organisation fit) as drivers and health and age as moderators for the relationships between exhaustion and nurses' organisational and professional leaving intentions. Methods: We analysed data from a standardised paper-pencil questionnaire survey with a prospective, two-wave (12 months apart) study design. In total, 584 nurses participated at Time 1 (t1). The final sample at Time 2 (t2) was n = 222 nurses (38%; age: M = 41.1 years, SD = 11.0; 88% females). Results: We identified time pressure as job demand and job control, task identity, and person-organisation fit as resources that drive the relationships of exhaustion (mean between both times of measures) and organisational and professional leaving intentions. The relationships to organisational leaving intentions decreased with nurses' age and the relationships to professional leaving intentions increased for nurses who had poorer self-rated health. We found indirect effects of exhaustion for relationships between job demands and nurses' leaving intentions. Relationships to exhaustion remained significant after adjusting for depressive mood. Conclusion: Insights from this study can be used both by employers and employees. Redesigning work might be a promising approach to improve nurses' well-being and retention in this profession. Geriatric care facilities should include the concept of person-organisation fit into their personnel selection process. [ABSTRACT FROM AUTHOR]

Long‐term care of older adults is currently suffering from a shortage of trained personnel and high turnover rates. Care work is poorly paid, demanding, increasingly time‐bound and both mentally and physically burdensome. In this study, we examined the individual, organisational and economic factors that predict professional care workers' intentions to leave their current employment, using the NORDCARE survey data (2015, N = 3801) collected in Denmark, Finland, Norway and Sweden. The respondents were mainly practical and assistant nurses. The analysis showed that the predictors of intentions to leave were similar in the four countries. The most consistent organisational predictors of leaving intentions were related to psychophysical burden and a lack of supervisor support. Younger age also predicted intentions to leave. To break the vicious circle of burdensome work and high turnover, care workers need sufficient resources and support to conduct their work properly. [ABSTRACT FROM AUTHOR]

This article examines the impact of employee understanding of components of their pay system on pay satisfaction and leaving intentions for a poorly paid occupational group. Employee understanding of pay arrangements is found to have an indirect impact (through pay satisfaction) on employee intention to leave. Based on this sample, organisations may be able to improve the pay satisfaction of their employees and reduce employee turnover intention simply by improving their pay communication approaches. [ABSTRACT FROM PUBLISHER]

simon m., müller b.h. & hasselhorn h.m. (2010) Leaving the organization or the profession – a multilevel analysis of nurses’ intentions. Journal of Advanced Nursing 66(3), 616–626. Aim. This paper is a report of a study of (i) which variables are associated with the intention to leave the profession (ii) which variables are associated with the intention to leave the organization; and (iii) how the related variables differ between intentions in a secondary analysis of data of the German part of the European Nurses’ Early Exit Study. Background. Nursing turnover research so far rarely differentiates between leaving the profession or the organization. The identification of specific correlates for different leaving intentions would support better understanding of the turnover process and the development of targeted measures to reduce turnover. Methods. A secondary data analysis of the German sample of the European Nurses’ Early Exit-Study was performed, using a generalized linear mixed model approach. Results. Data from 2119 Registered Nurses in 71 departments of 16 hospitals from 2003 were analysed. Models for intentions to leave the profession explained more of the variance ( r2 = 0·46) than models for intentions to leave the organization ( r2 = 0·28). Both leaving intentions were associated with age, professional commitment and job satisfaction. Intentions to leave the profession were strongly associated with variables related to the personal background and the work/home interface whereas intentions to leave the organization were related to organizational leadership and the local context. Conclusion. Retention initiatives should address the work-home interface. Surveys assessing nursing turnover should be based on comprehensive turnover definitions, including different leaving directions. [ABSTRACT FROM AUTHOR]

There is an intensification of work in global health systems, a phenomenon that could increase work-family conflict, exhaustion, and intentions to leave among healthcare workers. The main objective of this study is to analyze if daily work-family conflict and burnout could explain the daily leaving intentions and vitality of healthcare workers. This is a diary study, which employs an experience-sampling methodology (ESM). A total of 56 physicians, nurses, and nursing aides from intensive care and nephrology units filled out various quantitative scales during 5 working days (56 × 5 = 280 observations). Multilevel hierarchical analysis showed that daily work-family conflict and burnout were significantly associated with higher daily intentions of leaving the profession, and with lower levels of daily vitality. In addition, those workers who experienced more work-family conflict and depersonalization on a daily basis were those who showed more intentions to leave and less daily vitality, showing an interactive effect. The results highlight the importance of examining the psychosocial risks experienced by healthcare workers by employing experience-sampling methodologies, which could help us to deepen our understanding of the proximal antecedents of their intentions to leave and their psychological well-being.