Literature DB >> 30561026

Using multiple coding schemes for classification and coding of agricultural injury.

Dennis Murphy1, Serap Gorucu1, Bryan Weichelt2, Erika Scott3, Mark Purschwitz4.   

Abstract

BACKGROUND: Agricultural safety and health researchers have used a variety of classification and coding schemes to identify and categorize injury, illness, and disease associated with agricultural hazards. This paper demonstrates how the Farm and Agricultural Injury Classification (FAIC) and Occupational Injury and Illness Classification System (OIICS) coding schemes can be used in tandem for all agricultural injuries.
METHODS: Specific cases from the AgInjuryNews.org database were selected to illustrate how the FAIC and OIICS codes can be applied to agricultural injury, and to illustrate limitations that still exist with each coding scheme.
RESULTS: Using the FAIC and OIICS together provided a clearer picture of an injury incident by combining more explicit occupational and non-occupational exposures with incident type details in a single table.
CONCLUSIONS: Both FAIC and OIICS coding schemes depend on sufficient information being available from injury reports. This paper concluded with suggestions for improving coding of agricultural injury.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  agriculture; injury; injury classification; injury coding

Mesh:

Year:  2018        PMID: 30561026     DOI: 10.1002/ajim.22932

Source DB:  PubMed          Journal:  Am J Ind Med        ISSN: 0271-3586            Impact factor:   2.214


  2 in total

1.  Using hospitalization data for injury surveillance in agriculture, forestry and fishing: a crosswalk between ICD10CM external cause of injury coding and The Occupational Injury and Illness Classification System.

Authors:  Erika Scott; Liane Hirabayashi; Judy Graham; Nicole Krupa; Paul Jenkins
Journal:  Inj Epidemiol       Date:  2021-02-15

2.  Assessing the Emergent Public Health Concern of All-Terrain Vehicle Injuries in Rural and Agricultural Environments: Initial Review of Available National Datasets in the United States.

Authors:  Bryan Weichelt; Serap Gorucu; Charles Jennissen; Gerene Denning; Stephen Oesch
Journal:  JMIR Public Health Surveill       Date:  2020-05-29
  2 in total

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