Strategies for construction hazard recognition


Independent validation using construction images



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STRATEGIES FOR CONSTRUCTION HAZARD RECOGNITION
Independent validation using construction images
To validate the findings of the multiple baseline studies and to provide corroborative evidence, we conducted independent pre/post tests using images from real construction projects. Here, we focused on measuring the proportion of hazards identified and communicated in a random sample of construction photographs. To accomplish this, we selected a random sample of 16 photographs from a database of more than 100 photographs that were gathered by the expert panelists. In brainstorming sessions the expert panelists pre-identified a comprehensive list of observable hazards. Then, the photographs were randomly assigned for the pretest and the post-test. The pretest was instituted just prior to


139 receiving the intervention and the post-test was administered after the last work-period for all crews. Similar to the MBT study, we developed a relevant metric to measure proportion of hazards identified and communicated as shown in Equation 4. We then conducted two-sample comparative tests to determine the impact of the intervention.
𝐻𝑅 =
𝐻
𝑐𝑟𝑒𝑤
𝐻
𝑐𝑟𝑒𝑤
+𝐻
𝑝𝑎𝑛𝑒𝑙
(4) Where H
crew is the number of hazards identified by the crew, and H
crew
+ H
panel is the total number of hazards identified by the crew and the research expert panel.
RESULTS

Case 1 description Major maintenance work at a food processing facility
The first study was conducted at a food processing facility involving major maintenance located at the Southeastern United States. The annual revenue of this facility surpassed $13 Million and the number of worker-hours exceeded 278,370. At the time of our visit, twelve crews representing diverse trades were actively involved in the project. For the purposes of this study, three crews – mechanical, electrical and civil – were selected to participate from a stratified population. The upper management identified two highly experienced safety managers with a total of 46 years of practical experience to facilitate data collection and coordinate the integration of the HIT strategy. The size of the selected natural work crews ranged between 9 and 12 workers.

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