Indonesian nurses' perception of disaster management preparedness / 中华创伤杂志(英文版)

PURPOSE@#Using a quantitative approach, this study aims to assess Indonesian nurses' perception of their knowledge, skills, and preparedness regarding disaster management.@*METHODS@#This study was a descriptive comparison in design. The research samples are Indonesian nurses working in medical services and educational institutions. The variables of nurses' preparedness to cope with disaster victims were measured using the Disaster Preparedness Evaluation Tool (DPET), which was electronically distributed to all nurses in Indonesia. Data were analyzed using a statistical descriptive one-way Analysis of Variance (ANOVA) and t-test with a significance level of 95%.@*RESULTS@#In total, 1341 Indonesian nurses completed this survey. The average scores of preparedness to cope with disasters, the ability to recover from disaster, and evaluation of disaster victims were 3.13, 2.53, and 2.46, respectively. In general, nurses surveyed in this study are less prepared for disaster management, and do not understand their roles both during the phase of disaster preparedness, and when coping with a post-disaster situation.@*CONCLUSION@#Nurses' preparedness and understanding of their roles in coping with disasters are still low in Indonesia. Therefore, their capacity in preparedness, responses, recovery, and evaluation of disasters needs improvement through continuing education. The efforts needed are significant due to potential disasters in Indonesia and adequate nurses resources.

Simulation Model Algorithm for Pre-Hospital Emergency Care (PHEC) Volunteers in Indonesia / Jurnal Sains Kesihatan Malaysia

@#The first responders who are often exposed to emergency condition play important roles in providing PHEC to victims withroad accident trauma. Hence, empowerment of first responders is highly required to achieve the target of response timeof less than 10 minutes to provide PHEC in order to minimize the numbers of deaths and disabilities caused by trauma.This study applied quasi-experimental design with static group comparison pattern using cross-sectional approach. Anumber of 40 samples of common people consisting of 20 samples in treatment group and 20 samples in control groupwere taken. The statistic test used in this research is t-test. The results reveals that simulation model using algorithminfluences the improvement of traffic volunteers’ emergency management capabilities with p-value of < 0.05 and meanscore difference of 34.5%, and the model is highly effective to be implemented to improve the capability of traffic assistantvolunteers to manage trauma emergency with the mean score difference of 11.5%. Algorithm models for PHEC simulationhave some strengths in real setting and effective interactive learning to evaluate the capabilities of first responders inmanaging pre-hospital emergency, and improve problem-solving skills, as well as their performance in such aspects asskill, knowledge, and attitude.