Open AccessHOSPITAL DISASTER RISK MANAGEMENT: THE CASE OF URMIA HOSPITALS
Author(s) -
Farshad Faghisolouk,
Reza Khani Jazani,
Sanaz Sohrabizadeh
Publication year - 2018
Publication title -
asian journal of pharmaceutical and clinical research
Language(s) - English
Resource type - Journals
eISSN - 2455-3891
pISSN - 0974-2441
DOI - 10.22159/ajpcr.2018.v11i3.23625
Subject(s) - cronbach's alpha , likert scale , test (biology) , spearman's rank correlation coefficient , risk management , psychology , scale (ratio) , reliability (semiconductor) , operations management , medicine , statistics , management , clinical psychology , mathematics , engineering , geography , psychometrics , paleontology , power (physics) , physics , quantum mechanics , economics , biology , cartography
Objective: This study has been conducted with the aim of assessing the risk management category and its status in hospital from the perspective of senior managers in Urmia hospitals considering the existing scientific gap and the importance of the issue for the health system and society.Methods: This cross-sectional research was conducted in all 12 hospitals in Urmia. Participants in the research included 37 senior hospital managers. Data gathering instrument was a researcher-made questionnaire with Likert scale. Content validity and reliability of the tool (Cronbach’s alpha coefficient) have been also measured in a similar study. This tool has been designed in two parts: Demographic specifications and items (44 questions). Kolmogorov-Smirnov, ANOVA one-way, independent t-test, and Spearman tests were used in SPSS 20 software for statistical analysis.Results: The average of total score of all risk management components was equal to 3.0445, which is in moderate level. According to ANOVA one-way test, there was no significant relationship between the organizational status of managers and their education level with any of the risk management components. Furthermore, it was specified using independent t-test, there is no statistically significant relationship between gender and risk management components. It was specified using Pearson correlation test; there is a statistically significant relationship between gender and education level as well as individual’s organizational status (p-value: 0.001).Conclusion: Studied hospitals have suffered from the lack of risk management. There is not enough knowledge in this regard among senior hospital managers, and therefore, due to the importance of this issue, needed policies and programs should be provided to all hospital managers and needed supporting and education should be provided in regard to the implementation of risk management measures.