Research Updates

We are actively collecting and analyzing data to validate the pre-qualification tool that the ACES team has developed.

    Research timeline

    • January 2014-Janaury 2017: Pre-qualification tool development
    • February 2017-March 2017: Pilot testing
    • April 2017-Present: Data collection
    • September 2017-Present: Data analysis & reporting
    • September 2019: Pre-qualification tool dissemination

    Upcoming Events & Conferences

    NOIRS Conference: October 16-18, 2018 in Morgantown, WV

    ​Abstract:

    Testing the associations between leading and lagging indicators in a contractor safety pre-qualification database.

    Authors: Justin Manjourides and Jack T Dennerlein

    Introduction

    Many available tools for assessing and prequalifying construction subcontractors based on safety management procedures and performance rely on lagging indicators such as injury rates. Recent prequalification tools include leading safety indicators that are predictive antecedents to accidents and injuries, such as organizational safety management systems. Our goal was to determine the associations between leading and lagging indicators collected in a subcontractor pre-qualification assessment procedure that includes both leading indicators related to company-level safety policies and programs and lagging indicators related to company-level injury rates.

    Methods

    Data in this study were extracted from the ConstructSecure, Inc (Marlborough, Massachusetts) contractor safety assessment program of self-reported and validated company-level safety data.  These surveys include measures of organizational systems of safety including Safety Management System; Safety Programs; Potential Hazards; Special Elements related to drug and alcohol programs; Non-drug and alcohol related Special Elements. Lagging injury indicators include all recordable injury cases (RC) and injuries involving days away, restricted, or transfer (DART). Companies also reported number of hours worked and number of employees.

    To examine associations between leading and lagging indicators of safety we fit Zero-Inflated Poisson models (due to a large number of companies reporting no injuries) to predict the company specific rates of DART or RC rates (DART per 100 Full-time Equivalents (FTEs), RC/100FTEs).

    Results

    In total, 2148 companies had up-to-date and complete data and reported greater than 10 FTE employees. Companies reported an average safety management score of 14.2 (Standard deviation (SD)=3.0), 4.6 hazards (SD=4.0), and 14.3 safety programs (SD=2.4). Companies also reported an average of three drug and alcohol screen programs (SD=1.2) and 1.1 additional safety special elements (SD=0.9). While over 75% of companies reported zero OSHA citations over the past 3 years, the average number of citations equaled 0.4 (SD=0.9). The average DART rate among companies was 3.0 per 100FTEs (SD=4.4), with 914 companies reporting 0 DART events. The average recordable case rate was 1.8 per 100FTEs (SD=2.9), with 701 companies reporting 0 recordable cases.

    Crude ZIP models showed consistent statistically significant associations between Safety Management Systems (SMS) and Drug and Alcohol Special Elements (SE.D) and both RC and DART rates. Each one-point increase in a company’s SMS score, was significantly associated with a 34% reduction in the odds of a recordable case event occurring (Odds ratio (OR): 0.66, 95% Confidence Interval(CI): (0.57, 0.79)), and a 9% reduction in the rate of recordable cases, if one does occur (Risk Ratio (RR): 0.91, 95% CI: (0.88, 0.94)). Similarly, each one-point increase in SMS score was significantly associated with a 28% reduction in the odds of DART incident (OR=0.72, 95%CI (0.56, 0.91)), and a 9% reduction in DART rate, if one does occur (RR=0.91, 95%CI (0.87, 0.95)). Associations in models that were fully adjusted for all leading safety indicators were generally consistent to those from crude models.

    Discussion

    Through this cross-sectional analysis, we have identified several organizational leading safety indicators that are associated with safety performance in the construction industry. More safety management systems were inversely associated with RC and DART rates, and companies with higher SMS scores were more likely to report no incidents. Similarly, the inclusion of drug and alcohol policy elements was associated with improved recordable case and DART rates. The associations documented here support the need for the implementation of safety management systems across the board in contractors small to large.

    Publications in progress

    The gap between tools and best practice: an analysis of safety prequalification surveys in the construction industry

    OBJECTIVE: The main goal of this paper was to characterize safety prequalification surveys currently in use in the construction industry.

    METHODS: This descriptive study collected prequalification surveys available in the public domain from internet searches, construction company websites, published literature, and construction industry partners. We utilized a conceptual framework, based on safety theory and best practices, to categorize survey questions.

    RESULTS: 52 prequalification surveys were identified containing 112 unique questions. Most included questions related to lagging indicators (83%), safety management leadership (75%), worker training and requirements (60%).  Safety management system elements such as hazard prevention and control, program evaluation and improvement, coordination and communication were notably absent in 90% of the surveys.

    CONCLUSIONS: There was little consistency in the surveys available concerning leading indicators of safety.  Only a small number of surveys currently in use incorporate all the elements of best practices associated with robust safety management systems.