Affiliations: [a]
Social Determinants of Health Research Center, Saveh University of Medical Sciences, Saveh, Iran
| [b]
Department of Occupational Health, School of Public Health, Tehran University of Medical Sciences, Iran
| [c]
Department of Occupational Hygiene, School of Public Health and Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
| [d]
Computer Engineering Department, University of Zanjan, Zanjan, Iran
| [e]
Department of Epidemiology and Biostatistics, Tehran University of Medical Sciences, Tehran, Iran
Correspondence:
[*]
Address for correspondence: Ali Karimi, Ph.D, Department of Occupational Health, School of Public Health, Tehran University of Medical Sciences Tehran, Iran. Tel.: +98 21 8895 5450; Fax: +98 21 8895 4781; E-mail: [email protected].
Abstract: BACKGROUND:Health and safety performance measurements aimed to provide information on the progress and current situation of organizational strategies and activities. OBJECTIVES:We developed a model to determine and select safety key performance indicators in order to assess safety management systems. METHODS:This study has been designed in six steps aiming at defining a model of leading performance indicators (LPIs) and selecting key performance indicators (KPIs) using the AHP method. RESULTS:According to the results analysis, 116 structural and operational indicators were defined based on the components of the OHSAS 18001 management system. For this purpose, 19 structural, 27 operational and 33 active KPIs were selected by AHP and BN techniques. CONCLUSION:Development of LPIs is influenced by various organizational, managerial, and operational factors. LPIs extracted from the components of the OHS-MS deployed in an organization are often passive and cannot show the changes in the safety status of a workplace in a short period. The model presented in this study was designed with an emphasis on extraction of active and operational indicators, as they were capable of detecting performance changes in construction industries.
Keywords: Leading indicator, safety performance, Bayesian network, AHP, oil industries
