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All Journal JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit) JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit)
Aree Sanee
Royal Thai Army Nursing College
Economics, Econometrics & Finance Health Professions Medicine & Pharmacology Nursing Public Health

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Knowledge and Skills as Main Predictors in Nurse Disaster Preparedness Ilfa Khairina; Nelwati Nelwati; Esthika Ariany Maisa; Dally Rahman; Aree Sanee
JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit) Vol 11, No 3 (2022): December
Publisher : Universitas Muhammadiyah Yogyakarta in Clollaboration with ADMMIRASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmmr.v11i3.16292

Abstract

Information about the factors that affect nurses' preparedness in hospitals is currently inadequate. Therefore, knowing the predictors that most influence nurse preparedness for disasters is vital. This study aims to determine the predictor factors that affect the disaster preparedness of nurses at the Padang Hospital. A cross-sectional design method has been used in this study. The selection of respondents was carried out using a purposive sampling technique. The criteria were nurses involved as a team for natural and non-natural disasters, COVID-19, in two public hospitals in Padang. The data collection used the Disaster Preparedness Evaluation Tools, Self-Regulation Scale, and Practice Environment Scale-Nursing Work Index. Analysis of the data in this study using the Structural Equation Model. The findings showed that knowledge and skills in disaster preparedness significantly affect disaster preparedness with a p-value of 0.001. Overall, these factors explain 87% of the total variance. Optimizing knowledge and skills in disaster management can improve nurses' preparedness in disasters. The hospital can make structured programs and manage disaster mitigation team resources to increase disaster preparedness.
Knowledge and Skills as Main Predictors in Nurse Disaster Preparedness Ilfa Khairina; Nelwati Nelwati; Esthika Ariany Maisa; Dally Rahman; Aree Sanee
JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit) Vol. 11 No. 3 (2022): December 2022
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmmr.v11i3.16292

Abstract

Information about the factors that affect nurses' preparedness in hospitals is currently inadequate. Therefore, knowing the predictors that most influence nurse preparedness for disasters is vital. This study aims to determine the predictor factors that affect the disaster preparedness of nurses at the Padang Hospital. A cross-sectional design method has been used in this study. The selection of respondents was carried out using a purposive sampling technique. The criteria were nurses involved as a team for natural and non-natural disasters, COVID-19, in two public hospitals in Padang. The data collection used the Disaster Preparedness Evaluation Tools, Self-Regulation Scale, and Practice Environment Scale-Nursing Work Index. Analysis of the data in this study using the Structural Equation Model. The findings showed that knowledge and skills in disaster preparedness significantly affect disaster preparedness with a p-value of 0.001. Overall, these factors explain 87% of the total variance. Optimizing knowledge and skills in disaster management can improve nurses' preparedness in disasters. The hospital can make structured programs and manage disaster mitigation team resources to increase disaster preparedness.
Co-Authors Dally Rahman Ilfa Khairina Maisa, Esthika Ariany Nelwati Nelwati