Predicting Quality of Work Life on Nurses’ Intention to Leave

• DOI: 10.1111/jnu.12017
• Publication Date: 2013-03-05T18:13:24Z
• Authors: Ya‐Wen Lee; Yu‐Tzu Dai; Chang‐Gi Park; Linda L. McCreary
• Keywords: Staffing; Work experience

Abstract Purpose The purpose of this study was to explore the relationship between quality work life (QWL) and nurses’ intention leave their organization (ITLorg). Design A descriptive cross‐sectional survey design conducted using purposive sampling 1,283 nurses at seven hospitals in Taiwan. Data were collected from March June 2012. Methods Three questionnaires, including Chinese version Quality Nursing Work Life scale (C‐QNWL), a questionnaire organization, demographic questionnaire, with two informed consent forms delivered workplaces. Descriptive data, Pearson's correlations, ordinal regression model analyzed. Findings Over half (52.5%) had ITLorg. Seven QWL dimensions significantly negatively correlated ITLorg ( r = −0.17 −0.37, p < .01). Significant predictors .05) (the pseudo R 2 0.282) being single, having diploma or lower educational level, working nonteaching hospital. Four dimensions—supportive milieu job security professional recognition, arrangement workload, home balance, nursing staffing patient care—were also not Conclusions This showed that individual‐related variables (being level), work‐related variable (working hospital), four play significant role After added regression, variance explained by more than doubled. Clinical Relevance To reduce ITLorg, administrators may offer focused interventions improve supportive care.