Document Detail


Evaluation of a Human Factors Analysis and Classification System as used by simulated mishap boards.
MedLine Citation:
PMID:  21235105     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
BACKGROUND: The reliability of the Department of Defense Human Factors Analysis and Classification System (DOD-HFACS) has been examined when used by individuals working alone to classify the causes of summary, or partial, information about a mishap. However, following an actual mishap a team of investigators would work together to gather and analyze a large amount of information before identifying the causal factors and coding them with DOD-HFACS.
METHOD: There were 204 military Aviation Safety Officer students who were divided into 30 groups. Each group was provided with evidence collected from one of two military aviation mishaps. DOD-HFACS was used to classify the mishap causal factors.
RESULTS: Averaged across the two mishaps, acceptable levels of reliability were only achieved for 56.9% of nanocodes. There were high levels of agreement regarding the factors that did not contribute to the incident (a mean agreement of 50% or greater between groups for 91.0% of unselected nanocodes); the level of agreement on the factors that did cause the incident as classified using DOD-HFACS were low (a mean agreement of 50% or greater between the groups for 14.6% of selected nanocodes).
DISCUSSION: Despite using teams to carry out the classification, the findings from this study are consistent with other studies of DOD-HFACS reliability with individuals. It is suggested that in addition to simplifying DOD-HFACS itself, consideration should be given to involving a human factors/organizational psychologist in mishap investigations to ensure the human factors issues are identified and classified in a consistent and reliable manner.
Authors:
Paul O'Connor; Peter Walker
Related Documents :
20161335 - Auto-ik: a 2d indicator kriging program for the automated non-parametric modeling of lo...
2257125 - A physical explanation of the lognormality of pollutant concentrations.
11969855 - Scaling behavior in a proportional voting process.
24260455 - Urinary and dietary analysis of 18,470 bangladeshis reveal a correlation of rice consum...
22910375 - Contribution of yeast models to neurodegeneration research.
20884585 - Uncued and cued dynamics measured by response classification.
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Aviation, space, and environmental medicine     Volume:  82     ISSN:  0095-6562     ISO Abbreviation:  Aviat Space Environ Med     Publication Date:  2011 Jan 
Date Detail:
Created Date:  2011-01-17     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7501714     Medline TA:  Aviat Space Environ Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  44-8     Citation Subset:  IM; S    
Affiliation:
Centre for Innovation and Structural Change, J. E. Cairnes School of Business & Economics, National University of Ireland, Galway, Ireland. poc73@hotmail.com
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  A no-decompression air dive and ultrasound lung comets.
Next Document:  Thyroid status of Space Shuttle crewmembers: effects of iodine removal.