Nurse preferences of caring robots: A conjoint experiment to explore most valued robot features.

AIM: Due to the COVID pandemic and technological innovation, robots gain increasing role in nursing services. While studies investigated negative attitudes of nurses towards robots, we lack an understanding of nurses' preferences about robot characteristics. Our aim was to explore how key robot features compare when weighed together. METHODS: Cross-sectional research design based on a conjoint analysis approach. Robot dimensions tested were: (1) communication; (2) look; (3) safety; (4) self-learning ability; and (5) interactive behaviour. Participants were asked to rank robot profile cards from most to least preferred. RESULTS: In order of importance, robot's ability to learn ranked first followed by behaviour, look, operating safety and communication. Most preferred robot combination was 'robot responds to commands only, looks like a machine, never misses target, runs programme only and behaves friendly'. CONCLUSIONS: Robot self-learning capacity was least favoured by nurses showing potential fear of robots taking over core nurse competencies.

The relationship between paediatric nurses' quality of life and intent to leave: The moderating role of hospital type.

BACKGROUND: Different types of hospitals exist in Jordan, and each type has its own leadership style. This might affect the nursing workforce in terms of quality of life and intent to leave. AIM: This study aimed at (1) assessing the relationship between paediatric nurses' quality of life and intent to leave, (2) examining the moderating effect of the hospital type on this relationship, (3) comparing the quality of life of paediatric nurses working at ministry of health and the University-Affiliated hospitals and (4) exploring the determinants of nurses' intent to leave. DESIGN: A cross-sectional, comparative and correlational design was used in this study. METHODS: A multi-site sample was selected from two types of hospitals in Jordan; the ministry of health and the University-Affiliated hospitals. A sample of 225 paediatric nurses responded to the brief quality of life questionnaire by the World Health Organization in addition to a group of sociodemographic and work-related questions. RESULTS AND CONCLUSION: Nurses' quality of life and intent to leave were negatively correlated. This correlation was moderated by the type of hospital. Nurses' quality of life was significantly different in the two types of hospitals. Both salary and nursing care model predicted paediatric nurses' intent to leave. The managerial style and work environment of the ministry of health hospitals should be benchmarked against the University-Affiliated hospitals.

Paediatric nurses' burnout, quality of life and perceived patient adverse events during the COVID-19 pandemic: Testing an integrated model using structural equation modelling.

PURPOSE: A model was hypothesised by integrating two theoretical models: the compassion satisfaction-compassion fatigue and empowerment models. This study aimed to assess the extent to which this integrated model can explain the relationships between paediatric nurses' burnout quality of life, perceived patient safety and work-related variables during the COVID-19 pandemic. BACKGROUND: Nurses' burnout is negatively associated with quality of life (QOL) and positively with patient safety. Several theoretical models were introduced to explain burnout determinants and outcomes such as Golembiewski, Munzenrider and Stevenson model, Leiter and Maslach's process model, and Lee and Ashforth's model. However, few models described burnout in relation to QOL or patient safety. METHODS: A sample of 225 paediatric nurses responded to questionnaires about burnout, QOL, adverse events and work-related variables. Compassion satisfaction - compassion fatigue and empowerment models were integrated into a single model and tested using structural equation modelling analysis. This study was prepared and is reported according to the STROBE checklist. RESULTS: The final model explained 65% of the variance of burnout and 37% of the variance of QOL. The work-related variables (co-workers' support, job satisfaction, satisfaction with the monthly salary, participation in continuous education and exposure to violence) are predicting paediatric nurses' burnout and quality of life. CONCLUSION: The Compassion satisfaction - compassion fatigue -Empowerment integrated model allows for assessing the different paths in the relationship between work-related variables and burnout. RELEVANCE TO CLINICAL PRACTICE: These results might be essential for nursing managers to develop strategies that improve nurses' work environment and minimise their burnout during COVID-19 pandemic. These strategies should focus on enhancing co-workers' support, job satisfaction and participation in continuous education. Furthermore, paediatric nurses should be protected from any violence.