Izvorni znanstveni članak
https://doi.org/10.1515/aiht-2016-67-2687
Key factors contributing to accident severity rate in construction industry in Iran: a regression modelling approach
Ahmad Soltanzadeh
; School of Public Health, Qom University of Medical Sciences, Qom, Iran
Iraj Mohammadfam
; School of Public Health and Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
Abbas Moghimbeigi
; School of Public Health and Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
Mahdi Akbarzadeh
; School of Public Health and Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
Reza Ghiasvand
; Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
Sažetak
Construction industry involves the highest risk of occupational accidents and bodily injuries, which range from mild to very severe. The aim of this cross-sectional study was to identify the factors associated with accident severity rate (ASR) in the largest Iranian construction companies based on data about 500 occupational accidents recorded from 2009 to 2013. We also gathered data on safety and health risk management and training systems. Data were analysed using Pearson’s chi-squared coefficient and multiple regression analysis. Median ASR (and the interquartile range) was 107.50 (57.24-381.25). Fourteen of the 24 studied factors stood out as most affecting construction accident severity (p<0.05). These findings can be applied in the design and implementation of a comprehensive safety and health risk management system to reduce ASR.
Ključne riječi
accident analysis; ASR; individual factors; organisational factors; risk management; safety; training
Hrčak ID:
154613
URI
Datum izdavanja:
22.3.2016.
Posjeta: 3.081 *