Key factors contributing to accident severity rate in construction industry in Iran: a regression modelling approach

  • Ahmad Soltanzadeh School of Public Health and Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan
  • Iraj Mohammadfam School of Public Health and Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan
  • Abbas Moghim Beygi Public Health Faculty, Hamadan University of Medical Sciences, Hamadan
  • Mehdi Akbarzadeh Public Health Faculty, Hamadan University of Medical Sciences, Hamadan
  • Reza Ghiasvand Institute of Basic Medical Sciences, University of Oslo, Oslo
Keywords: accident analysis, ASR, individual factors, organisational factors, risk management, safety, training

Abstract

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.

Published
2016-03-29
How to Cite
1.
Soltanzadeh A, Mohammadfam I, Moghim Beygi A, Akbarzadeh M, Ghiasvand R. Key factors contributing to accident severity rate in construction industry in Iran: a regression modelling approach. Arh Hig Rada Toksikol [Internet]. 2016Mar.29 [cited 2021Oct.23];67(1). Available from: https://arhiv.imi.hr/index.php/arhiv/article/view/406
Section
Original article