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A Conceptual Model of Nurses’ Turnover Intention

Author

Listed:
  • Eva Smokrović

    (Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
    Faculty of Health Studies, University of Rijeka, 51000 Rijeka, Croatia)

  • Tomislav Kizivat

    (Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia)

  • Antun Bajan

    (Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
    Nursing Institute “Professor Radivoje Radić”, Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia)

  • Krešimir Šolić

    (Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
    Faculty of Electrical Engineering, Computer Science and Information Technology, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia)

  • Zvjezdana Gvozdanović

    (Nursing Institute “Professor Radivoje Radić”, Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia)

  • Nikolina Farčić

    (Nursing Institute “Professor Radivoje Radić”, Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia)

  • Boštjan Žvanut

    (Faculty of Health Sciences, University of Primorska, 6000 Koper, Slovenia)

Abstract

The World Health Organisation predicts a lack of 15 million health professionals by 2030. The lack of licenced professionals is a problem that keeps emerging and is carefully studied on a global level. Strategic objectives aimed at stimulating employment, improving working conditions, and keeping the nurses on board greatly depends on identifying factors that contribute to their turnover. The aim of this study was to present a conceptual model based on predictors of nurses’ turnover intention. Methods: A quantitative, non-experimental research design was used. A total of 308 registered nurses (RNs) took part in the study. The Multidimensional Work Motivation Scale (MWMS) and Practice Environment Scale of the Nursing Work Index (PES-NWI) were used. Results: The conceptual model, based on the binary regression models, relies on two direct significant predictors and four indirect significant predictors of turnover intention. The direct predictors are job satisfaction (OR = 0.23) and absenteeism (OR = 2.5). Indirect predictors that affect turnover intention via job satisfaction are: amotivation (OR = 0.59), identified regulation (OR = 0.54), intrinsic motivation (OR = 1.67), and nurse manager ability, leadership and support of nurses (OR = 1.51). Conclusions: The results of the study indicate strategic issues that need to be addressed to retain the nursing workforce. There is a need to ensure positive perceptions and support from managers, maintain intrinsic motivation, and promote even higher levels of motivation to achieve satisfactory levels of job satisfaction.

Suggested Citation

  • Eva Smokrović & Tomislav Kizivat & Antun Bajan & Krešimir Šolić & Zvjezdana Gvozdanović & Nikolina Farčić & Boštjan Žvanut, 2022. "A Conceptual Model of Nurses’ Turnover Intention," IJERPH, MDPI, vol. 19(13), pages 1-14, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:13:p:8205-:d:855885
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    References listed on IDEAS

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    1. Ying Wang & Weizhen Dong & Kristen Mauk & Peiying Li & Jin Wan & Guang Yang & Lyuying Fang & Wan Huan & Chun Chen & Mo Hao, 2015. "Nurses’ Practice Environment and Their Job Satisfaction: A Study on Nurses Caring for Older Adults in Shanghai," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-13, September.
    2. Carole Pélissier & Barbara Charbotel & Jean Baptiste Fassier & Emmanuel Fort & Luc Fontana, 2018. "Nurses’ Occupational and Medical Risks Factors of Leaving the Profession in Nursing Homes," IJERPH, MDPI, vol. 15(9), pages 1-14, August.
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    4. Carina Ahlstedt & Carin Eriksson Lindvall & Inger K. Holmström & Åsa Muntlin, 2020. "Flourishing at work: Nurses' motivation through daily communication – An ethnographic approach," Nursing & Health Sciences, John Wiley & Sons, vol. 22(4), pages 1169-1176, December.
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    6. Smokrović, Eva & Žvanut, Maja Frencl & Bajan, Antun & Radić, Radivoje & Žvanut, Boštjan, 2019. "The effect of job satisfaction, absenteeism, and personal motivation on job quitting: A survey of Croatian nurses," Journal of East European Management Studies, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 24(3), pages 398-422.
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