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

2020 ◽  
Vol 54 (7) ◽  
pp. 397-401 ◽  
Author(s):  
John W Orchard ◽  
Willem Meeuwisse ◽  
Wayne Derman ◽  
Martin Hägglund ◽  
Torbjørn Soligard ◽  
...  
Keyword(s):  
Sport Medicine ◽  
Classification System ◽  
Sports Medicine ◽  
Consensus Statement ◽  
Sports Injury ◽  
Consensus Conference ◽  
Coding System ◽  
Coding Systems ◽  
Diagnostic Coding ◽  
Two Systems

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.

The Sport Medicine Diagnostic Coding System

2007 ◽  
Vol 17 (3) ◽  
pp. 205-207 ◽  
Author(s):  
Willem H Meeuwisse ◽  
J Preston Wiley
Keyword(s):  
Sport Medicine ◽  
Coding System ◽  
Diagnostic Coding

scholarly journals Translation Into Spanish and Proposal to Modify the Orchard Sports Injury Classification System (OSICS) Version 12

2021 ◽  
Vol 9 (4) ◽  
pp. 232596712199381
Author(s):  
Juan de Dios Beas-Jiménez ◽  
Antonio León Garrigosa ◽  
Pilar Doñoro Cuevas ◽  
Luis Martínez Riaza ◽  
Xavier Peirau Terés ◽  
...  
Keyword(s):  
Classification System ◽  
Sports Injury ◽  
Classification Systems ◽  
Numerical Code ◽  
Coding System ◽  
Spanish Translation ◽  
Sports Activity ◽  
Daily Life Activities ◽  
The Impact ◽  
Injury Classification

Purpose: To publish the Spanish translation of Version 12 of the sports injury classification system called Orchard Sports Injury Classification System and propose a modification to include a numerical code that reflects the impact of the injury on sports functionality. Methods: The members of the working group on the epidemiology of sports injury, of the Group for the Study of the Muscle-Tendon System (GESMUTE), and of the Spanish Society of Sports Traumatology (SETRADE), carried out a bibliographical review on the epidemiological classification systems of injuries, 3 face-to-face consensus meetings, and various online pieces of work, following the Delphi work methodology. Results: The Spanish translation of Version 12 of the Orchard Sports Injury Classification System is fully accessible and free of charge at https://gesmute.es/traduccion-espanola-osics-12/ . The current project proposes to add, at the end of the current coding system of Version 12, a numerical code (0: No Functional impairment; 1: Limits Sports Activity; 2: Prevents Sports Activity; 3: Limits Daily Life Activities), to indicate any functional repercussions caused by the injury. Conclusion: We present the Spanish translation of Version 12 of the Orchard Sports Injury Classification System. We propose as an improvement the inclusion of functionality criteria in sports injury classifications; more specifically, our proposal could be an improvement to the Orchard Sports Injury Classification System Version 12.

scholarly journals Entropic measures of complexity in a new medical coding system

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jerome Niyirora
Keyword(s):  
Longitudinal Data ◽  
Coding System ◽  
Medical Coding ◽  
Coding Systems ◽  
The Us ◽  
Icd 10 ◽  
New Codes

Abstract Background Transitioning from an old medical coding system to a new one can be challenging, especially when the two coding systems are significantly different. The US experienced such a transition in 2015. Objective This research aims to introduce entropic measures to help users prepare for the migration to a new medical coding system by identifying and focusing preparation initiatives on clinical concepts with more likelihood of adoption challenges. Methods Two entropic measures of coding complexity are introduced. The first measure is a function of the variation in the alphabets of new codes. The second measure is based on the possible number of valid representations of an old code. Results A demonstration of how to implement the proposed techniques is carried out using the 2015 mappings between ICD-9-CM and ICD-10-CM/PCS. The significance of the resulting entropic measures is discussed in the context of clinical concepts that were likely to pose challenges regarding documentation, coding errors, and longitudinal data comparisons. Conclusion The proposed entropic techniques are suitable to assess the complexity between any two medical coding systems where mappings or crosswalks exist. The more the entropy, the more likelihood of adoption challenges. Users can utilize the suggested techniques as a guide to prioritize training efforts to improve documentation and increase the chances of accurate coding, code validity, and longitudinal data comparisons.

scholarly journals Searching for an Operational Definition of Frailty: A Delphi Method Based Consensus Statement. The Frailty Operative Definition-Consensus Conference Project

2012 ◽  
Vol 68 (1) ◽  
pp. 62-67 ◽  
Author(s):  
Leocadio Rodríguez-Mañas ◽  
Catherine Féart ◽  
Giovanni Mann ◽  
Jose Viña ◽  
Somnath Chatterji ◽  
...  
Keyword(s):  
Delphi Method ◽  
Consensus Statement ◽  
Operational Definition ◽  
Consensus Conference ◽  
Definition Of

System for Cross-Classification of Small Group Studies

1968 ◽  
Vol 23 (3_suppl) ◽  
pp. 1295-1304
Author(s):  
Richard Heslin ◽  
Dexter Dunphy
Keyword(s):  
Small Group ◽  
Classification System ◽  
Sufficient Information ◽  
Coding System ◽  
Similar System ◽  
Cross Classification

The article describes a method for placing information into a classification system that maximizes the flexibility in retrieval at a later time. It uses (1) a stack of edge-punched cards containing information of interest that has been punched according to (2) a coding system developed by the users. The authors have developed a classification system for the small-group field which is depicted and described in detail. It allows for coding a study on about 50 dimensions to (1) locate an article, (2) give an over-all description of the article, and (3) indicate the variables measured or discussed. Examples of uses and discussion of special features are provided to give the reader sufficient information to establish and use the system or a similar system for his own purposes.

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