The Magnitude of Turnover Intention and Associated Factors Among Nurses Working at Governmental Hospitals in Southern Ethiopia: A Mixed-Method Study.

Autor: Bolado, Getachew Nigussie, Ayalew, Tadele Lankrew, Ataro, Bizuayehu Atinafu, Hussein, Adem
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Zdroj: Nursing: Research & Reviews; Jun2023, Vol. 13, p13-29, 17p
Abstrakt: To assess the magnitude of turnover intention and associated factors among nurses working at Government Hospitals of Wolaita Zone, Southern Ethiopia, May to June 2022.Methods: An institutional-based cross-sectional study augmented with an explanatory sequential mixed-method approach was conducted among 398 nurses. A simple random sampling technique was used to select participants for quantitative study, and a purposive sampling technique was used for qualitative study. A pretested structured self-administered questionnaire adapted from previous studies and focused group discussions was used for quantitative and qualitative studies, respectively. EpiDataV4.6 was used for data entry, and the Statistical Package for the Social Science version 25 was used for quantitative data analysis. Bivariable and multivariable logistic regression was done. For qualitative data, OpenCode 4.03 software was used for thematic content analysis.Results: A total of 384 nurses participated in this study with a response rate of 96.48%. Of them, 39.8% had turnover intention. Unsatisfied payments and benefits [AOR: 2.113 (95% CI: 1.19– 3.77)], unsatisfied performance appraisal [AOR: 3.185 (95% CI: 1.91– 5.32)] and low continuance commitment [AOR: 1.899 (95% CI: 1.13– 3.18)] had positive relationship with nurses' turnover intention.Conclusion and Recommendations: In this study, nearly 40% of nurses had turnover intention. Unsatisfied payments and benefits, unsatisfied performance appraisal and low continuance commitment were significantly associated with nurses' turnover intention. Therefore, fair performance appraisal, appropriate and timely payments and benefits and increasing nurses' commitment towards their hospitals are very important actions that should be taken. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index