Saeed Yari1, Hesam Akbari2,3, Mohammad Gholami Fesharaki4, Omid Khosravizadeh5, Mohammad Ghasemi2, Yalda Barsam6, Hamed Akbari2,7. 1. Department and Faculty of Health, Students Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran. 2. Health Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran. 3. Department of Environmental Pollution, West Tehran Branch, Islamic Azad University, Tehran, Iran. 4. Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran. 5. Social Determinants of Health Research Center, Qazvin University of Medical Sciences, Qazvin, Iran. 6. Department of Health, Occupational Hygiene Group, Kerman University of Medical Sciences, Tehran, Iran. 7. Department of Environmental Pollution, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Abstract
BACKGROUND: Paying attention to the safety of hospitals, as the most crucial institute for providing medical and health services wherein a bundle of facilities, equipment, and human resource exist, is of significant importance. OBJECTIVE: The present research aims at developing a model for assessing hospitals' safety based on principles of inherent safety design. METHODS: Face validity (30 experts), content validity (20 experts), construct validity (268 examples), convergent validity, and divergent validity have been employed to validate the prepared questionnaire; and the items analysis, the Cronbach's alpha test, ICC test (to measure reliability of the test), composite reliability coefficient have been used to measure primary reliability. The relationship between variables and factors has been confirmed at 0.05 significance level by conducting confirmatory factor analysis (CFA) and structural equations modeling (SEM) technique with the use of Smart-PLS. RESULTS: R-square and load factors values, which were higher than 0.67 and 0.300 respectively, indicated the strong fit. Moderation (0.970), simplification (0.959), substitution (0.943), and minimization (0.5008) have had the most weights in determining the inherent safety of hospital respectively. CONCLUSIONS: Moderation, simplification, and substitution, among the other dimensions, have more weight on the inherent safety, while minimization has the less weight, which could be due do its definition as to minimize the risk.
BACKGROUND: Paying attention to the safety of hospitals, as the most crucial institute for providing medical and health services wherein a bundle of facilities, equipment, and human resource exist, is of significant importance. OBJECTIVE: The present research aims at developing a model for assessing hospitals' safety based on principles of inherent safety design. METHODS: Face validity (30 experts), content validity (20 experts), construct validity (268 examples), convergent validity, and divergent validity have been employed to validate the prepared questionnaire; and the items analysis, the Cronbach's alpha test, ICC test (to measure reliability of the test), composite reliability coefficient have been used to measure primary reliability. The relationship between variables and factors has been confirmed at 0.05 significance level by conducting confirmatory factor analysis (CFA) and structural equations modeling (SEM) technique with the use of Smart-PLS. RESULTS: R-square and load factors values, which were higher than 0.67 and 0.300 respectively, indicated the strong fit. Moderation (0.970), simplification (0.959), substitution (0.943), and minimization (0.5008) have had the most weights in determining the inherent safety of hospital respectively. CONCLUSIONS: Moderation, simplification, and substitution, among the other dimensions, have more weight on the inherent safety, while minimization has the less weight, which could be due do its definition as to minimize the risk.