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Health, workforce characteristics, quality of life and intention to leave: The 'Fit for the Future' survey of Australian nurses and midwives.
- Source :
- Journal of Advanced Nursing (John Wiley & Sons, Inc.); Nov2017, Vol. 73 Issue 11, p2745-2756, 12p
- Publication Year :
- 2017
-
Abstract
- Aim To examine the quality of life of nurses and midwives in New South Wales, Australia and compare values with those of the Australian general population; to determine the influence of workforce, health and work life characteristics on quality of life and its effect on workforce intention to leave. Background Few studies have examined nurses' and midwives' quality of life and little is known of its effects on workforce longevity. Design This was a cross-sectional survey conducted in 2014-2015. Method The 'Fit for the Future' electronic survey, delivered to nurses and midwives, examined demographic, work and health-related factors, which were compared with Australian general population normative values for physical and mental components of quality of life (the Short Form-12). Univariate and multivariate logistic regression models assessed associations with workforce intention to leave. Result Physical and mental component scores, calculated for 4,592 nurses and midwives, revealed significantly higher physical but lower mental component scores than the general population. Physical component scores decreased with increasing age; higher scores were seen in nurses with better health indices and behaviours. Mental well-being scores increased with increasing age; in nurses who reported job satisfaction, no work injury, sleep problems or frequent pain and non-smokers. The odds of intention to leave decreased with increasing mental well-being. Conclusion Managers and decision-makers should heed study recommendations to implement health promotion strategies for nurses and midwives, aiming to improve mental health, specifically to promote workforce retention. [ABSTRACT FROM AUTHOR]
- Subjects :
- ANALYSIS of variance
COMPARATIVE studies
EMPLOYMENT
HEALTH behavior
HEALTH status indicators
INDUSTRIAL hygiene
JOB descriptions
JOB satisfaction
MIDWIVES
NURSES
PROBABILITY theory
QUALITY of life
QUESTIONNAIRES
RESEARCH funding
STATISTICAL sampling
SHIFT systems
SURVEYS
WORK environment
COMORBIDITY
LOGISTIC regression analysis
OCCUPATIONAL roles
EDUCATIONAL attainment
PAIN measurement
CROSS-sectional method
SEVERITY of illness index
DATA analysis software
DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 03092402
- Volume :
- 73
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Journal of Advanced Nursing (John Wiley & Sons, Inc.)
- Publication Type :
- Academic Journal
- Accession number :
- 125591303
- Full Text :
- https://doi.org/10.1111/jan.13347