Liesbeth Kool

Intentions to leave and actual turnover of community midwives in the Netherlands. A mixed method study exploring the reasons why | 117 REFERENCES 1. Kenens R, Van der Velden L, Vis E, Batenburg R. Cijfers uit de registratie van verloskundigen, peiling 2018. 2020. Utrecht: Nivel. 2. Hunter B, Fenwick J, Sidebotham M, Henley J. Midwives in the United Kingdom: Levels of burnout, depression, anxiety and stress and associated predictors. Midwifery. 2019;79:102526. 3. Smith A, Dixon AL, Page LA. Health-care professionals’ views about safety in maternity services: A qualitative study. Midwifery. 2009;25(1):21-31. 4. Bäck L, Hildingsson I, Sjöqvist C, Karlström A. Developing competence and confidence in midwifery-focus groups with Swedish midwives. Women and Birth. 2017;30(1):e32e38. 5. Leversidge A. Why midwives leave-revisited. Midwives. 2016;19(4):19. 6. Warmelink JC, Wiegers TA, de Cock TP, Spelten ER, Hutton EK. Career plans of primary care midwives in the Netherlands and their intentions to leave the current job. Human resources for health. 2015;13(1):29. 7. Coomber B, Barriball KL. Impact of job satisfaction components on intent to leave and turnover for hospital-based nurses: A review of the research literature. Int J Nurs Stud. 2007;44(2):297-314. 8. Takase M. A concept analysis of turnover intention: Implications for nursing management. Collegian. 2010;17(1):3-12. 9. Harvie K, Sidebotham M, Fenwick J. Australian midwives’ intentions to leave the profession and the reasons why. Women and Birth. 2019;32(6):e584-e593. 10. Stoll K, Gallagher J. A survey of burnout and intentions to leave the profession among western Canadian midwives. Women and Birth. 2019;32(4):e441-e449. 11. Catling C, Rossiter C. Midwifery workplace culture in Australia: A national survey of midwives. Women and Birth. 2020;33(5):464-472. 12. Pezaro S, Clyne W, Turner A, Fulton EA, Gerada C. ‘Midwives overboard!’Inside their hearts are breaking, their makeup may be flaking but their smile still stays on. Women and Birth. 2016;29(3):e59-e66. 13. Hoonakker P, Carayon P, Korunka C. Using the job-demands-resources model to predict turnover in the information technology workforce–General effects and gender differences. Horizons of Psychology. 2013;22(1):51-65. 14. Schaufeli WB, Taris TW. A critical review of the job demands-resources model: Implications for improving work and health. In: Bridging occupational, organizational and public health. Springer; 2014:43-68.

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