Coding OSICS sports injury diagnoses in epidemiological studies: does the background of the coder matter?

Br J Sports Med. 2014 Apr;48(7):552-6. doi: 10.1136/bjsports-2012-091219. Epub 2012 Aug 23.

Abstract

Objective: To compare Orchard Sports Injury Classification System (OSICS-10) sports medicine diagnoses assigned by a clinical and non-clinical coder.

Design: Assessment of intercoder agreement.

Setting: Community Australian football.

Participants: 1082 standardised injury surveillance records.

Main outcome measurements: Direct comparison of the four-character hierarchical OSICS-10 codes assigned by two independent coders (a sports physician and an epidemiologist). Adjudication by a third coder (biomechanist).

Results: The coders agreed on the first character 95% of the time and on the first two characters 86% of the time. They assigned the same four-digit OSICS-10 code for only 46% of the 1082 injuries. The majority of disagreements occurred for the third character; 85% were because one coder assigned a non-specific 'X' code. The sports physician code was deemed correct in 53% of cases and the epidemiologist in 44%. Reasons for disagreement included the physician not using all of the collected information and the epidemiologist lacking specific anatomical knowledge.

Conclusions: Sports injury research requires accurate identification and classification of specific injuries and this study found an overall high level of agreement in coding according to OSICS-10. The fact that the majority of the disagreements occurred for the third OSICS character highlights the fact that increasing complexity and diagnostic specificity in injury coding can result in a loss of reliability and demands a high level of anatomical knowledge. Injury report form details need to reflect this level of complexity and data management teams need to include a broad range of expertise.

Keywords: Epidemiology; Measurement; Sporting injuries.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Athletic Injuries / diagnosis*
  • Australia
  • Clinical Coding*
  • Epidemiologic Studies
  • Football / injuries
  • Humans
  • Observer Variation
  • Sports Medicine*