Identifying factors that contribute to severity of construction injuries using logistic regression model

Abstract

Majority of research in occupational safety and health area lean towards describing accidents with the aid of surveys and descriptive statistics, instead of using inferential statistical techniques. Therefore, an extensive archival study was performed in cooperation with Social Security Institute of Turkey, which included examination and reorganization of more than 2000 accident report forms to create a categorically identified data set, incorporating “Injury Severity Score” concept, followed by various statistical analysis techniques (univariate frequency, cross tabulation and binary logistic regression). As a result, a model was developed to identify the factors that contribute to severity. The findings of the analyses showed that four of the independent variables (work experience, accident type, unsafe condition and unsafe act) have statistically significant influence on workplace injury severity.