Models for predicting turnover of residential aged care nurses: a structural equation modelling analysis of secondary data

Gao, Fengsong, Newcombe, Peter, Tilse, Cheryl, Wilson, Jill and Tuckett, Anthony (2014) Models for predicting turnover of residential aged care nurses: a structural equation modelling analysis of secondary data. International Journal of Nursing Studies, 51 9: 1258-1270. doi:10.1016/j.ijnurstu.2014.01.011

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Author Gao, Fengsong
Newcombe, Peter
Tilse, Cheryl
Wilson, Jill
Tuckett, Anthony
Title Models for predicting turnover of residential aged care nurses: a structural equation modelling analysis of secondary data
Journal name International Journal of Nursing Studies   Check publisher's open access policy
ISSN 0020-7489
1873-491X
Publication date 2014-09-01
Year available 2014
Sub-type Article (original research)
DOI 10.1016/j.ijnurstu.2014.01.011
Open Access Status
Volume 51
Issue 9
Start page 1258
End page 1270
Total pages 13
Place of publication Bromley, United Kingdom
Publisher Elsevier
Language eng
Formatted abstract
Background Nurse turnover in the residential aged care industry is a pressing issue. Researchers have shown ongoing interest in exploring how the factors that are amendable to change in aged care policy, regulation and funding and in organizational procedures (e.g. job demands, coping resources and psychological health of nurses) impact on turnover. However, the findings are mixed.

Objective This study tested two theoretical models of turnover to examine the structural relationships among job demands, coping resources, psychological health and turnover of residential aged care nurses. Although many previous studies operationalized turnover as intention to leave, the present study investigated actual turnover by following up with the same individuals over time, and thus provided more accurate predictive models of turnover behaviour.

Design and methods The sample, 239 Australian residential aged care nurses, came from the Nurses and Midwives e-cohort Study. Job demands, coping resources, and psychological health were measured using standardized instruments. Structural equation modelling was used to test the measurement and structural models.

Results Controlling for a number of workforce and individual characteristics, coping resources (measured by job control, supervisor support, and co-worker support) were negatively and directly associated with turnover. Additionally, the findings supported the Job Demand-Control-Support model in that higher coping resources and lower job demands (indicated by psychological demands, physical demands, and effort) were related to better psychological health (measured by vitality, social functioning, role emotional, and mental health), and higher job demands were related to lower coping resources.

Conclusions Findings suggest that aged care policy makers and service providers might consider increasing coping resources available to nurses and minimizing job demands of care work to reduce turnover and improve nurses’ psychological health. Moreover, findings from this Australian study may provide valuable practical and policy implications for other developed countries.
Keyword Age care workforce
Job demand-control-support (JDCS) model
Nurse turnover
Psychological health
Quantitative analysis
Job demand-control-support model
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Available online 28 January 2014

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Nursing, Midwifery and Social Work Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 10 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 12 times in Scopus Article | Citations
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Created: Mon, 17 Feb 2014, 23:22:58 EST by Associate Professor Cheryl Tilse on behalf of School of Social Work and Human Services