The Safety Climate Assessment Tool (S-CAT): A rubric-based approach to measuring construction safety climate.

INTRODUCTION: This paper presents the development and validation of a new rubric-based Safety Climate Assessment Tool (S-CAT). The S-CAT gives companies the opportunity to use rubric descriptors, rather than traditional Likert scale responses, to self-assess their level of safety climate maturity and receive a composite score benchmarked against others in the S-CAT database. METHOD: The S-CAT is composed of 37 separate indicators of 8 safety climate factors identified by construction industry subject matter experts. The eight factors have between three and six indicators each with its own rubric-based response-scale. The scales comprise descriptors for five levels of safety climate maturity ranging from "inattentive" to "exemplary." Nine hundred and eighty-five respondents working in the construction industry completed the S-CAT via our online safety climate website. We used company recordable incident rates (RIR) to assess the S-CAT's criterion-related validity. RESULTS: Cronbach alphas for each factor ranged from 0.77 to 0.90 and a confirmatory factor analysis supported the hypothesized eight factor structure with a higher-order safety climate factor. Seven of the eight factor scores, as well as the overall S-CAT score, were significantly negatively correlated with RIR. Moreover, a relative weights analysis indicated that a weighted combination of the eight safety climate factors explained 27% of the variance in organizational RIR. CONCLUSIONS: These findings provide evidence that the S-CAT is a reliable tool allowing construction companies to self-assess their safety climate along eight different factors. Moreover, the S-CAT was significantly associated with organizational injury rates. Practical applications: We discuss how companies can use the rubric descriptors to strengthen their safety management systems and improve their safety climate maturity.

Work-related injury factors and safety climate perception in truck drivers.

INTRODUCTION: The trucking industry has a high burden of work-related injuries. This study examined factors, such as safety climate perceptions, that may impact injury risk. METHOD: A random sample of 9800 commercial driver's license holders (CDL) were sent surveys, only 4360 were eligible truck drivers. Descriptive statistics and logistic regression models were developed to describe the population and identify variables associated with work-related injury. RESULTS: 2189 drivers completed the pertinent interview questions. Driving less-than-truckload, daytime sleepiness, pressure to work faster, and having a poor composite score for safety perceptions were all associated with increased likelihood of work-related injury. Positive safety perception score was protective for odds of work-related injury, and increased claim filing when injured. CONCLUSIONS: Positive psychological safety climate is associated with decreased likelihood of work-related injury and increased likelihood that a driver injured on the job files a workers' compensation claim.