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Quality of work life as a predictor of nurses' intention to leave units, organisations and the profession
Author(s) -
Lee YaWen,
Dai YuTzu,
McCreary Linda L.
Publication year - 2015
Publication title -
journal of nursing management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.925
H-Index - 76
eISSN - 1365-2834
pISSN - 0966-0429
DOI - 10.1111/jonm.12166
Subject(s) - scale (ratio) , workload , staffing , nursing , teamwork , psychology , nonprobability sampling , job satisfaction , descriptive statistics , work–life balance , work (physics) , ordinal regression , quality (philosophy) , burnout , health care , medicine , social psychology , management , clinical psychology , computer science , population , philosophy , mathematics , environmental health , engineering , epistemology , quantum mechanics , mechanical engineering , statistics , physics , economics , economic growth , machine learning
Aim To examine the relationships between quality of work life ( QWL ) and nurses' intention to leave their unit ( ITL unit), organisation ( ITL org) and profession ( ITL pro). Background The high turnover rate among nurses presents a major challenge to health care systems across the globe. QWL plays a significant role in nurses' turnover. Methods A descriptive cross‐sectional survey design was conducted via purposive sampling of 1283 hospital nurses and administering the C hinese version of the Q uality of N ursing W ork L ife scale ( C ‐ QNWL ), a three‐ ITL ‐type scale questionnaire, and a demographic questionnaire for individual‐ and work‐related variables. Descriptive data, correlations, and ordinal regression models were analyzed. Results QWL predicted ITL pro and ITL org better than ITL unit. Three QWL dimensions (work arrangement and workload, nursing staffing and patient care, and work–home life balance) were significantly predictive of all three ITL measures. However, the dimension of teamwork and communication was only predictive for ITL unit, not for ITL org and ITL pro. Conclusions Different patterns of QWL dimensions are predictive of ITL unit, ITL org, and ITL pro. Implications for nursing management The study provides important information to nurse administrators about the aspects of QWL that most commonly lead nurses to leave their units, organisations, and even the profession itself.