Quality of work life as a predictor of nurses' intention to leave units, organisations and the profession

Authors

  • Ya-Wen Lee RN,

    PhD candidate and Supervisor of Nursing
    1. Department of Nursing, College of Medicine, National Taiwan University, Changhua Christian Hospital, Changhua, Taiwan
    2. Nursing Department, Changhua Christian Hospital, Changhua, Taiwan
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  • Yu-Tzu Dai RN, PhD,

    Professor and Supervisor of Nursing, Corresponding author
    1. Department of Nursing, College of Medicine, National Taiwan University, National Taiwan University Hospital, Taipei, Taiwan
    2. Nursing Department, National Taiwan University, Taipei, Taiwan
    • Correspondence

      Yu-Tzu Dai

      No. 1 Sec. 1, Jen-Ai Road

      Taipei 10051

      Taiwan

      E-mail: yutzu@ntu.edu.tw

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  • Linda L. McCreary RN, PhD

    Research Assistant Professor
    1. Department of Health Systems Science, College of Nursing, University of Illinois, Chicago, IL, USA
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Abstract

Aim

To examine the relationships between quality of work life (QWL) and nurses' intention to leave their unit (ITLunit), organisation (ITLorg) and profession (ITLpro).

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 Chinese version of the Quality of Nursing Work Life 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 ITLpro and ITLorg better than ITLunit. 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 ITLunit, not for ITLorg and ITLpro.

Conclusions

Different patterns of QWL dimensions are predictive of ITLunit, ITLorg, and ITLpro.

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.

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