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 χ 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.

Download full-text PDF

Source
http://dx.doi.org/10.1111/nicc.12551DOI Listing

Publication Analysis

Top Keywords

intention leave
32
practice environment
24
nursing practice
12
environment resilience
12
resilience intention
12
critical care
12
intention
9
leave
9
care nurses
8
leave ccns
8

Similar Publications

Epipremnum aureum, sometimes known as the Money Plant, is a popular houseplant known for its hearts-shaped leaves and durability. Commonly referred to as Golden Pothos or Devil's Ivy, it is also appreciated for its ornamental value and air cleaning ability. They say that these plants are attractive to many people owing to their tolerance to several conditions and easy care, therefore, it is no surprise that they are found in many households and workplaces.

View Article and Find Full Text PDF

Aim: The objectives of this study were to determine the prevalence of burnout risk and intention-to-leave among intensive care unit (ICU) nurses and analyse the association of these with workload and work environment.

Design: A cross-sectional survey of nurses working in ICUs was conducted in France between 15 January 2024 and 15 April 2024 alongside a longitudinal assessment of workload during the same period.

Methods: ICU nurse workload was assessed using the Nursing Activities Score (NAS).

View Article and Find Full Text PDF

Integrating robots and artificial intelligence (AI) into workplaces is becoming increasingly prevalent across various sectors, including hospitality. This trend has raised concerns regarding employee anxiety and the potential for higher turnover intentions, particularly when AI technologies are perceived to undermine professional expertise. This study explores the relationship between awareness of robotics and AI and employee turnover intentions, framed within the Conservation of Resources Theory (COR).

View Article and Find Full Text PDF

Introduction: Healthcare organizations experience difficult challenges as a result of nursing staff turnover. This is because it not only interrupts continuity of service but also its financial implications.

Aim: The purpose of the study was to find out the effects of work engagement on nurses' intentions to leave their jobs while considering resilience as a mediating factor.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!