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Coding agricultural injury: Factors affecting coder agreement.

Serap Gorucu1, Bryan Weichelt2, Emily Redmond2

  • 1Agricultural and Biological Engineering, University of Florida, 1741 Museum Road, PO Box 110570, Gainesville, FL 32611, USA.

Journal of Safety Research
|December 18, 2020
PubMed
Summary
This summary is machine-generated.

Coding agricultural injuries using the Occupational Injury and Illness Classification System (OIICS) and Farm and Agricultural Injury Classification (FAIC) showed high agreement. Supplemental information and discussions improved accuracy for these injury codes.

Keywords:
Coder agreementFAICInjuryInjury sourceKappa statistics

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Area of Science:

  • Occupational health and safety
  • Injury surveillance
  • Agricultural medicine

Background:

  • Accurate coding of agricultural injuries is crucial for effective surveillance and prevention.
  • Existing coding schemes like OIICS and FAIC require evaluation for reliability and usability.

Purpose of the Study:

  • To assess coder agreement for OIICS source/event and FAIC codes.
  • To evaluate the impact of supplemental information and discussions on coding accuracy.

Main Methods:

  • Two researchers independently coded 1304 agricultural injury cases from AgInjuryNews.org.
  • Agreement levels for OIICS and FAIC were calculated.
  • The effect of supplemental data and follow-up discussions on coding was analyzed.

Main Results:

  • Near-perfect agreement for 3-digit OIICS codes; lower agreement for 4-digit codes.
  • Supplemental information and discussions improved FAIC coding accuracy by 20%.
  • Disagreed codes were finalized 55% (OIICS source) and 40% (OIICS event) of the time with supplemental information and discussions.

Conclusions:

  • OIICS and FAIC demonstrate user-friendliness and suitability for widespread agricultural injury coding.
  • Understanding coding discrepancies aids in refining classification systems.
  • Supplemental information and discussions enhance coding consistency and accuracy.