311 Safety performance evaluation and accident prevention using proactive indicators: a case study of an industry

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Abstract

Introduction

Quality and effectiveness of safety systems are critical factors in achieving their goals. This study was aimed to represent a method to performance evaluation of Safety systems by proactive indicators using different updated models in the field of safety which will be tested in a selected industry in order to prevent accidents and injuries from occurring in the future.

Methods

This study is a cross-sectional study. Proactive indicators used in this study were: Unsafe acts rate, Safety Climate, Accident Proneness and Near-miss incidents rate.

Results

The number of in 1473 safety climate questionnaires and 543 Accident Proneness questionnaires were completed. The minimum and maximum safety climate score were 56.88 and 58.2, respectively and the minimum and maximum scores of Accident Proneness were 98.2 and 140.7 respectively. The maximum number of Near-miss incidents rate were 408 and the minimum of that was 196. The maximum number of unsafe acts rate was 43.8 percent and the minimum of that was 27.2 percent. In nine dimensions of Safety climate the eighth (personal perception of risk) with 4.07 has the lowest score and the fourth (laws and safety regulations) with 8.05 has the highest score. According to experts opinions the most important indicator in the assessment of safety performance was ‘unsafe acts rate’ and ‘Near-miss incidents rate’ was the less importance. The study finds significant correlation between unsafe acts rate and number of lost work day’s accidents.

Discussion

The results of this survey reveal that using proactive (Prospective) indictors could be an appropriate method in organisations safety performance evaluation and sequentially preventing accidents from occurring.

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