Nevin Manimala Statistics

Fatal fall-from-height accidents: Statistical treatment using the Human Factors Analysis and Classification System – HFACS

J Safety Res. 2023 Sep;86:118-126. doi: 10.1016/j.jsr.2023.05.004. Epub 2023 May 18.


INTRODUCTION: The civil construction industry (CCI) is one of the most dangerous sectors for occupational accidents. Studies conducted in several countries show that occupational accidents involving falls from height are the main cause of deaths in recent years.

METHOD: This article analyzed the combinations of causal factors with the highest likelihood of accidents involving falls from height in construction to assist in decision-making. The methodology was divided into four stages: accident collection and sample definition; accident analysis; probability determination; and obtaining the theoretical curve of an accident probability distribution. The methodology was applied to reports of fatal fall-from-height accidents that occurred in the United States between 1997 and 2020.

RESULTS: The results show that among the accidents analyzed, the highest probability of fatality is when a roofer aged between 31 and 44 years performs their activity on a roof between 10:00 and 11:59 am. It is also noted that the three causal factors most present in the accidents were: organizational process (97.7%); poor management of worker resources (96.6%); and organizational climate (95.4%). From the probability distribution curve, 68% of the fatal accidents occurred after reaching between 18 and 34 causal factors present in the HFACS method categories.

PMID:37718038 | DOI:10.1016/j.jsr.2023.05.004

By Nevin Manimala

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