Associations between a safety prequalification survey and worker safety experiences on commercial construction sites

Am J Ind Med. 2020 Sep;63(9):766-773. doi: 10.1002/ajim.23143. Epub 2020 Jun 9.

Abstract

Background: While assessment of subcontractors' safety performance during project bidding processes are common in commercial construction, the validation of organizational surveys used in these processes is largely absent.

Methods: As part of a larger research project called Assessment of Contractor Safety (ACES), we designed and tested through a cross-sectional study, a 63-item organizational survey assessing subcontractors' leading indicators of safety performance. We administered the ACES Survey to 43 subcontractors on 24 construction sites. Concurrently, we captured the safety climate of 1426 workers on these sites through worker surveys, as well as injury rates, for the duration of the project.

Results: At the worksite level, higher average ACES scores were associated with higher worker safety climate scores (P < .01) and lower rates of injury involving days away (P < .001). Within subcontracting companies, no associations were observed between ACES and worker safety climate scores and injuries.

Conclusions: These results suggest the overall and collective importance of the construction project and its worksite in mediating worker experiences, perhaps somewhat independent of the individual subcontractor level.

Keywords: construction safety; injury prevention; prequalification; safety management systems.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Construction Industry / organization & administration*
  • Construction Industry / statistics & numerical data
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Occupational Health / statistics & numerical data*
  • Organizational Culture*
  • Safety Management / statistics & numerical data*
  • Surveys and Questionnaires
  • United States
  • Workplace / organization & administration*
  • Workplace / statistics & numerical data