Arch Phys Med Rehabil
February 2024
Objective: To use structural equation modeling to test research- and theory-informed models of potential predictors and outcomes of subjective experiences of employment and mobility participation in a national sample of people with physical disabilities.
Design: Cross-sectional survey.
Setting: Canada.
Aims: The aim of this study was to present a discussion and model depicting most effecting work-life experience contextual factors that influence commitment and turnover intentions for nurses in Sri Lanka.
Background: Increasing demand for nurses has made the retention of experienced, qualified nursing staff a priority for healthcare organizations and highlights the need to capture contextual work-life experiences that influence nurses' turnover decisions.
Design: Discussion paper.
Aim: We address issues and challenges in nursing in Sri Lanka with the aim of identifying where and how policy changes need to be made.
Background: Increased global interconnectivity calls for professional leadership, research, education, and policy reform in nursing as these are identified as enhancing health workforce performance and professionalization, thereby improving health systems.
Sources Of Evidence: We draw on first-hand knowledge of health care and nursing in Sri Lanka and a recent survey of nurses at a large urban government hospital in Sri Lanka, followed by discussion and proposed action on themes identified through analysis of published and unpublished literature about the nursing profession.
Background: The three-component model of organization commitment has typically been studied using a variable-centered rather than a person-centered approach, preventing a more complete understanding of how these forms of commitment are felt and expressed as a whole.
Objectives: Latent profile analysis was used to identify qualitatively distinct categories or profiles of staff nurses' commitment. Then, associations of the profiles with perceived work unit relations and turnover intentions were examined.
The authors compared linear and nonlinear relations between affective and continuance commitment and 3 commonly studied work outcomes (turnover cognitions, absenteeism, and job performance), observed in 3 separate research settings. Using a linear model, they replicated the common observation in the literature that affective commitment is more strongly related to work outcomes than continuance commitment. Introducing a higher order continuance commitment term into the same equations, however, they found that the linear model seriously understated the magnitude of continuance commitment's effect on all 3 criterion measures.
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