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

Authors
Bondy-J; Lipscomb-H; Guarini-K; Glazner-JE
Source
Am J Ind Med 2005 Nov; 48(5):373-380
NIOSHTIC No.
20029234
Abstract
Several methods exist for classifying injuries from written text, thereby identifying possible points of intervention. We describe an innovative method for such classification. 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. 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. 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.
Keywords
Injuries; Construction; Construction-industry; Construction-workers; Etiology; Airports; Airport-personnel; Risk-factors; Environmental-factors; Risk-factors; Occupational-accidents; Accidents; Accident-statistics; Accident-analysis
Contact
Department of Preventive Medicine, Campus Box B119, University of Colorado Health Sciences Center, 4200 E. Ninth Avenue, Denver, CO 80262
CODEN
AJIMD8
Publication Date
20051101
Document Type
Journal Article
Email Address
Jessica.Bondy@UCHSC.edu
Funding Amount
433620
Funding Type
Grant
Fiscal Year
2006
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-R01-OH-003613
Issue of Publication
5
ISSN
0271-3586
Priority Area
Research Tools and Approaches: Surveillance Research Methods
Source Name
American Journal of Industrial Medicine
State
CO; NC
Performing Organization
University of Colorado Health Sciences Center, Denver, Colorado
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