HEALTH POLICY AND SYSTEM
Predicting Quality of Work Life on Nurses’ Intention to Leave
Article first published online: 5 MAR 2013
© 2013 Sigma Theta Tau International
Journal of Nursing Scholarship
Volume 45, Issue 2, pages 160–168, June 2013
How to Cite
Lee, Y.-W., Dai, Y.-T., Park, C.-G. and McCreary, L. L. (2013), Predicting Quality of Work Life on Nurses’ Intention to Leave. Journal of Nursing Scholarship, 45: 160–168. doi: 10.1111/jnu.12017
- Issue published online: 4 JUN 2013
- Article first published online: 5 MAR 2013
- Manuscript Accepted: 18 DEC 2012
- Quality of work life;
- intention to leave;
- intention to leave the organization
The purpose of this study was to explore the relationship between quality of work life (QWL) and nurses’ intention to leave their organization (ITLorg).
A descriptive cross-sectional survey design was conducted using purposive sampling of 1,283 nurses at seven hospitals in Taiwan. Data were collected from March to June 2012.
Three questionnaires, including the Chinese version of the Quality of Nursing Work Life scale (C-QNWL), a questionnaire of intention to leave the organization, and a demographic questionnaire, with two informed consent forms were delivered to the nurses at their workplaces. Descriptive data, Pearson's correlations, and the ordinal regression model were analyzed.
Over half (52.5%) of nurses had ITLorg. Seven QWL dimensions were significantly negatively correlated with ITLorg (r = −0.17 to −0.37, p < .01). Significant predictors (p < .05) of ITLorg (the pseudo R2 = 0.282) were being single, having a diploma or lower educational level, working in a nonteaching hospital. Four of the QWL dimensions—supportive milieu with job security and professional recognition, work arrangement and workload, work or home life balance, and nursing staffing and patient care—were also predictors of ITLorg. Three QWL dimensions were not predictors of ITLorg.
This study showed that individual-related variables (being single, having a diploma or lower educational level), a work-related variable (working at a nonteaching hospital), and the four QWL dimensions play a significant role in nurses’ ITLorg. After the QWL dimensions were added to the regression, the variance explained by the model more than doubled.
To reduce nurses’ ITLorg, nursing administrators may offer more focused interventions to improve the supportive milieu with job security and professional recognition, work arrangement and workload, work or home life balance, and nursing staffing and patient care.