Literature DB >> 32114487

Sport Medicine Diagnostic Coding System (SMDCS) and the Orchard Sports Injury and Illness Classification System (OSIICS): revised 2020 consensus versions.

John W Orchard1, Willem Meeuwisse2, Wayne Derman3,4, Martin Hägglund5, Torbjørn Soligard6, Martin Schwellnus7, Roald Bahr8.   

Abstract

Coding in sports medicine generally uses sports-specific coding systems rather than the International Classification of Diseases (ICD), because of superior applicability to the profile of injury and illness presentations in sport. New categories for coding were agreed on in the 'International Olympic Committee (IOC) consensus statement: Methods for recording and reporting of epidemiological data on injury and illness in sports 2020.' We explain the process for determining the new categories and update both the Sport Medicine Diagnostic Coding System (SMDCS) and the Orchard Sports Injury and Illness Classification System (OSIICS) with new versions that operationalise the new consensus categories. The author group included members from an expert group attending the IOC consensus conference. The primary authors of the SMDCS (WM) and OSIICS (JO) produced new versions that were then agreed on by the remaining authors using expert consensus methodology. The SMDCS and OSIICS systems have been adjusted and confirmed through a consensus process to align with the IOC consensus statement to facilitate translation between the two systems. Problematic areas for defining body part categories included the groin and ankle regions. For illness codes, in contrast to the ICD, we elected to have a taxonomy of 'organ system/region' (eg, cardiovascular and respiratory), followed by an 'aetiology/pathology' (eg, environmental, infectious disease and allergy). Companion data files have been produced that provide translations between the coding systems. The similar structure of coding underpinning the OSIICS and SMDCS systems aligns the new versions of these systems with the IOC consensus statement and also facilitates easier translation between the two systems. These coding systems are freely available to the sport and exercise research community. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  diagnosis; epidemiology; illness; injury

Mesh:

Year:  2020        PMID: 32114487     DOI: 10.1136/bjsports-2019-101921

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


  5 in total

1.  Assessment and classification of peripheral pain in athletes: a scoping review protocol.

Authors:  Ciarán Purcell; Ciara Duignan; Brona Fullen; Brian Caulfield
Journal:  BMJ Open Sport Exerc Med       Date:  2021-12-30

2.  Does the Fight Profile Interfere with Orthopedic Injuries in Brazilian Jiu-Jitsu?

Authors:  José Martins Juliano Eustaquio; Alberto Martins Fontoura Borges; Lorena Souza Vilela; Matheus Pizarro Carvalho Gouveia; Amanda Laruzo Rabelo; Camila Cohen Kaleka; Pedro Debieux; Octávio Barbosa Neto
Journal:  Open Access J Sports Med       Date:  2021-11-12

3.  Injury and Illness in Elite Athletics: A Prospective Cohort Study Over Three Seasons.

Authors:  Shane Kelly; Noel Pollock; George Polglass; Ben Clarsen
Journal:  Int J Sports Phys Ther       Date:  2022-04-01

4.  Sports Injury Identification Method Based on Machine Learning Model.

Authors:  Zexu Liu; Jun Zhang; Di Wu
Journal:  Comput Intell Neurosci       Date:  2022-08-08

5.  Tennis-specific extension of the International Olympic Committee consensus statement: methods for recording and reporting of epidemiological data on injury and illness in sport 2020.

Authors:  Evert Verhagen; Benjamin Clarsen; Jamie Capel-Davies; Christy Collins; Wayne Derman; Don de Winter; Nicky Dunn; Todd S Ellenbecker; Raymond Forde; Brian Hainline; Jo Larkin; Machar Reid; Per Afh Renstrom; Kathleen Stroia; Sue Wolstenholme; Babette M Pluim
Journal:  Br J Sports Med       Date:  2020-10-20       Impact factor: 13.800

  5 in total

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