The use of physical restraint exposes patients and staff to negative effects, including death. Therefore, teaching nursing staff to develop the improve knowledge, skills, and attitudes regarding physical restraint has become necessary. A quasi-experimental pre-post design was used to evaluate the effect of educational intervention on nurses' knowledge, attitude, intention, practice and incidence rate of physical restraint in 12 wards of a hospital using a self-reported questionnaire and a restraint order form in Malaysia. The educational intervention, which included a one-day session on minimising physical restraint use in hospital, was presented to 245 nurses. The results showed a significant increase in the mean knowledge, attitude sand practice score and a significant decrease in the mean intention score of nurses to use physical restraint after intervention. There was a statistically significant decrease in the incidence rate of physical restraint use in the wards of the hospital except geriatric-rehabilitation wards after intervention.
The paper aims to provide an insight into the significance of having a simulation model to forecast the supply of registered nurses for health workforce planning policy using System Dynamics. A model is highly in demand to predict the workforce demand for nurses in the future, which it supports for complete development of a needs-based nurse workforce projection using Malaysia as a case study. The supply model consists of three sub-models to forecast the number of registered nurses for the next 15 years: training model, population model and Full Time Equivalent (FTE) model. In fact, the training model is for predicting the number of newly registered nurses after training is completed. Furthermore, the population model is for indicating the number of registered nurses in the nation and the FTE model is useful for counting the number of registered nurses with direct patient care. Each model is described in detail with the logical connection and mathematical governing equation for accurate forecasting. The supply model is validated using error analysis approach in terms of the root mean square percent error and the Theil inequality statistics, which is mportant for evaluating the simulation results. Moreover, the output of simulation results provides a useful insight for policy makers as a what-if analysis is conducted. Some recommendations are proposed in order to deal with the nursing deficit. It must be noted that the results from the simulation model will be used for the next stage of the Needs-Based Nurse Workforce projection project. The impact of this study is that it provides the ability for greater planning and policy making with better predictions.
Hand hygiene is the most important measure in the prevention of healthcare-associated infections (HCAI). Adherence to hand hygiene protocols in hospital by nurses enables in prevention and control the HCAI. The main aim of the present study was to assess nurses' compliance to hand hygiene practice and knowledge in a hospital.