Predictors of the attitudinal and health outcomes of aged care nurses

This study examines the predictive capacity of the Demand-Control-Support (DCS) model in combination with organizational justice variables on attitudinal- and health-related outcomes for aged care nurses. Multiple regression analyses of aged care nurses (n=168) from a medium to large Australian healthcare organization. The DCS model explains the largest amount of variance across both the attitudinal and health outcomes with 27% of job satisfaction and 44% of organizational commitment, and 33% of psychological distress and 35% of wellbeing, respectively. Additional variance was explained by the justice variables for job satisfaction, organizational commitment and psychological distress. The addition of the organizational justice variables to the DCS model proved to be a valuable step in understanding the work conditions of aged care nurses. The inclusion of curvilinear effects clarified the potentially artefactual nature of certain interaction variables. The results provide practical implications for managers of aged care nurses in developing and maintaining levels of job control, support and fairness, as well as monitoring levels of job demands. The results particularly highlight the importance of the nurses’ supervisor.