Injuries from slips and trips in construction.

Construction injuries preceded by a slip or trip were documented using data from the building of the Denver International Airport (Denver, Colorado, USA), the largest construction project in the world at the time. Slips and trips occurred at a rate of 5/200,000 h worked accounting for 18% of all injuries and 25% of workers' compensation payments, or more than $10 million. Slips contributed to the vast majority (85%) of same-level falls and over 30% of falls from height, as well as a significant number of musculoskeletal injures sustained after slipping or tripping but without falling. The injury burden would have been under-recognized in analyses of most coded compensation records. In contrast to other types of injuries, the most common contributing factors were environmental in nature including conditions of walking and working surfaces, terrain and weather. Due to the very dynamic nature of construction work, reducing slips and trips will require a focus on environmental and organizational solutions that evolve as the site changes and the construction project evolves.

Methods for using narrative text from injury reports to identify factors contributing to construction injury.

BACKGROUND: Several methods exist for classifying injuries from written text, thereby identifying possible points of intervention. We describe an innovative method for such classification. METHODS: Using Haddon's matrix as a framework, two independent reviewers coded text from over 4,000 injury reports into a qualitative software package to identify factors contributing to injuries sustained during construction of Denver International Airport (DIA). We compared our classification scheme with three others. RESULTS: This process created a coded data set, an expanded version of Haddon's matrix adapted for construction injury, and coding rules for interpreting narrative text. Haddon's matrix provides a flexible theoretical framework for coding information about a spectrum of contributing factors. CONCLUSIONS: Narrative descriptions from injury reports can provide detail on circumstances surrounding injuries and identify factors contributing to injury. Forms guiding investigators to explicitly consider human, organizational, and environmental factors could foster more complete descriptions of factors contributing to construction injury.

Factors contributing to construction injury at Denver International Airport.

BACKGROUND: Detailed information about factors contributing to construction injury is important to support design of safety programs directed at particular risks. METHODS: We linked over 4,000 injury reports, including text describing injury events, with an administrative workers' compensation (WC) database, and, using Haddon's matrix as a framework, classified factors contributing to injury during construction of Denver International Airport (DIA). RESULTS: Patterns of contributing factors varied according to injury mechanism and type of work: environmental factors contributed more than any other factor to slip/trip injuries, and building materials contributed to more than 40% of injuries to workers in carpentry, concrete construction, glass installation, and roofing. Rates at which factors contributed to injury also varied among types of work: environmental factors contributed at relatively high rates to injuries in glass installation, metal/steel installation and iron/steel erection >or= 2 stories, and victim factors contributed at high rates to conduit construction and metal/steel installation injuries. WC payment rates for different factors varied widely, ranging from $0.53/$100 payroll to $3.08/$100. DISCUSSION: This approach allows systematic analysis of classes of injuries, contributing factors, types of work, and other variables to assist in setting prevention priorities.

Analysis of text from injury reports improves understanding of construction falls.

OBJECTIVE: We combined payroll data, coded workers' compensation (WC) data, and text descriptions of injuries from the construction of Denver International Airport to create a more comprehensive picture of falls from height (FFH) than is typically available from WC data. Text descriptions were coded to identify circumstances surrounding falls. Slips/trips preceded one third of FFH, often involving motor vehicles or heavy equipment. Another third involved movement or collapse of work surfaces, usually ladders or scaffolds. CONCLUSIONS: The significant contribution of motor vehicles and heavy equipment to FFH, particularly those preceded by slips/trips, was not apparent from coded data. Heavy equipment engineering modifications are called for and workers in street/roadway construction/site development need fall protection training. Text analyses allow exploration of factors not identified at the time of data collection and better understanding of the context in which injuries occur.