1. Nursing practice environment, resilience, and intention to leave among critical care nurses.
- Author
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Ying, Luk Ying, Ramoo, Vimala, Ling, Lee Wan, Nahasaram, Sri Theyshaini, Lei, Chui Ping, Leong, Luk Kuok, and Danaee, Mahmoud
- Subjects
CRITICAL care nurses ,WORK environment ,DISMISSAL of employees ,PSYCHOLOGICAL burnout ,STATISTICS ,INTENSIVE care nursing ,NURSES' attitudes ,ACADEMIC medical centers ,RESEARCH evaluation ,CROSS-sectional method ,AGE distribution ,INDEPENDENT variables ,EMPLOYEE recruitment ,NURSING practice ,PSYCHOLOGY of nurses ,SURVEYS ,SELF medication ,SOCIOECONOMIC factors ,T-test (Statistics) ,SEX distribution ,DESCRIPTIVE statistics ,QUESTIONNAIRES ,SCALE analysis (Psychology) ,INTENTION ,LOGISTIC regression analysis ,WORKING hours ,DATA analysis software ,STATISTICAL correlation ,DATA analysis ,PSYCHOLOGICAL resilience ,EMPLOYEE retention ,EDUCATIONAL attainment ,CAUSAL models - Abstract
Background: Retaining experienced critical care nurses (CCNs) remains a challenge for health care organizations. Nursing practice environment and resilience are both seen as modifiable factors in ameliorating the impact on CCNs' intention to leave and have not yet been explored in Malaysia. Aims and objectives: To assess the association between perceived nursing practice environment, resilience, and intention to leave among CCNs and to determine the effect of resilience on intention to leave after controlling for other independent variables. Design This was a cross‐sectional survey. Methods: The universal sampling method was used to recruit nurses from adult and paediatric (including neonatal) critical care units of a large public university hospital in Malaysia. Descriptive analysis and χ2 and hierarchical logistic regression tests were used to analyse the data. Results: A total of 229 CCNs completed the self‐administrated questionnaire. Of the nurses, 76.4% perceived their practice environment as being favourable, 54.1% were moderately resilient, and only 20% were intending to leave. The logistic regression model explained 13.1% of variance in intention to leave and suggested that being single, an unfavourable practice environment, and increasing resilience were significant predictors of nurses' intention to leave. Conclusion: This study found that an unfavourable practice environment is a strong predictor of intention to leave; however, further exploration is needed to explain the higher likelihood of expressing intention to leave among CCNs when their resilience level increases. Relevance to clinical practice: Looking into staff allocation and equality of workload assignments may improve the perception of the work environment and help minimize intention to leave among nurses. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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