Literature DB >> 26660444

Enhanced capture of healthcare-related harms and injuries in the 11th revision of the International Classification of Diseases (ICD-11).

Danielle A Southern1, Harold A Pincus2, Patrick S Romano3, Bernard Burnand4, James Harrison5, Alan J Forster6, Lori Moskal7, Hude Quan8, Saskia E Droesler9, Vijaya Sundararajan10, Cyrille Colin11, Yana Gurevich7, Susan E Brien12, Nenad Kostanjsek13, Bedirhan Üstün13, William A Ghali8.   

Abstract

The World Health Organization (WHO) plans to submit the 11th revision of the International Classification of Diseases (ICD) to the World Health Assembly in 2018. The WHO is working toward a revised classification system that has an enhanced ability to capture health concepts in a manner that reflects current scientific evidence and that is compatible with contemporary information systems. In this paper, we present recommendations made to the WHO by the ICD revision's Quality and Safety Topic Advisory Group (Q&S TAG) for a new conceptual approach to capturing healthcare-related harms and injuries in ICD-coded data. The Q&S TAG has grouped causes of healthcare-related harm and injuries into four categories that relate to the source of the event: (a) medications and substances, (b) procedures, (c) devices and (d) other aspects of care. Under the proposed multiple coding approach, one of these sources of harm must be coded as part of a cluster of three codes to depict, respectively, a healthcare activity as a 'source' of harm, a 'mode or mechanism' of harm and a consequence of the event summarized by these codes (i.e. injury or harm). Use of this framework depends on the implementation of a new and potentially powerful code-clustering mechanism in ICD-11. This new framework for coding healthcare-related harm has great potential to improve the clinical detail of adverse event descriptions, and the overall quality of coded health data.
© The Author 2015. Published by Oxford University Press in association with the International Society for Quality in Health Care; all rights reserved.

Entities:  

Keywords:  International Classification of Diseases; World Health Organization; patient safety; quality indicators

Mesh:

Year:  2015        PMID: 26660444      PMCID: PMC4767048          DOI: 10.1093/intqhc/mzv099

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  6 in total

1.  ICD-11 for quality and safety: overview of the WHO Quality and Safety Topic Advisory Group.

Authors:  William A Ghali; Harold A Pincus; Danielle A Southern; Susan E Brien; Patrick S Romano; Bernard Burnand; Saskia E Drösler; Vijaya Sundararajan; Lori Moskal; Alan J Forster; Yana Gurevich; Hude Quan; Cyrille Colin; William B Munier; James Harrison; Brigitta Spaeth-Rublee; Nenad Kostanjsek; T Bedirhan Ustün
Journal:  Int J Qual Health Care       Date:  2013-10-22       Impact factor: 2.038

2.  Capturing diagnosis-timing in ICD-coded hospital data: recommendations from the WHO ICD-11 topic advisory group on quality and safety.

Authors:  V Sundararajan; P S Romano; H Quan; B Burnand; S E Drösler; S Brien; H A Pincus; W A Ghali
Journal:  Int J Qual Health Care       Date:  2015-06-04       Impact factor: 2.038

3.  International variation in the definition of 'main condition' in ICD-coded health data.

Authors:  H Quan; L Moskal; A J Forster; S Brien; R Walker; P S Romano; V Sundararajan; B Burnand; G Henriksson; O Steinum; S Droesler; H A Pincus; W A Ghali
Journal:  Int J Qual Health Care       Date:  2014-07-02       Impact factor: 2.038

4.  How many diagnosis fields are needed to capture safety events in administrative data? Findings and recommendations from the WHO ICD-11 Topic Advisory Group on Quality and Safety.

Authors:  Saskia E Drösler; Patrick S Romano; Vijaya Sundararajan; Bernard Burnand; Cyrille Colin; Harold Pincus; William Ghali
Journal:  Int J Qual Health Care       Date:  2013-12-13       Impact factor: 2.038

5.  Modeling patient safety incidents knowledge with the Categorial Structure method.

Authors:  Julien Souvignet; Cédric Bousquet; Pierre Lewalle; Béatrice Trombert-Paviot; Jean Marie Rodrigues
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

6.  Feasibility of using administrative data to compare hospital performance in the EU.

Authors:  O Groene; S Kristensen; O A Arah; C A Thompson; P Bartels; R Sunol; N Klazinga
Journal:  Int J Qual Health Care       Date:  2014-02-18       Impact factor: 2.038

  6 in total
  6 in total

1.  A comparison of two structured taxonomic strategies in capturing adverse events in U.S. hospitals.

Authors:  John M Austin; Erin M Kirley; Michael A Rosen; Bradford D Winters
Journal:  Health Serv Res       Date:  2018-11-25       Impact factor: 3.402

2.  Exploring similarities and differences in hospital adverse event rates between Norway and Sweden using Global Trigger Tool.

Authors:  Ellen Tveter Deilkås; Madeleine Borgstedt Risberg; Marion Haugen; Jonas Christoffer Lindstrøm; Urban Nylén; Hans Rutberg; Soop Michael
Journal:  BMJ Open       Date:  2017-03-20       Impact factor: 2.692

3.  Adverse drug events in German hospital routine data: A validation of International Classification of Diseases, 10th revision (ICD-10) diagnostic codes.

Authors:  Nils Kuklik; Jürgen Stausberg; Karl-Heinz Jöckel
Journal:  PLoS One       Date:  2017-11-02       Impact factor: 3.240

Review 4.  The three-part model for coding causes and mechanisms of healthcare-related adverse events.

Authors:  Danielle A Southern; James E Harrison; Patrick S Romano; Marie-Annick Le Pogam; Harold A Pincus; William A Ghali
Journal:  BMC Med Inform Decis Mak       Date:  2022-02-24       Impact factor: 2.796

Review 5.  ICD-11: an international classification of diseases for the twenty-first century.

Authors:  James E Harrison; Stefanie Weber; Robert Jakob; Christopher G Chute
Journal:  BMC Med Inform Decis Mak       Date:  2021-11-09       Impact factor: 2.796

6.  Coding mechanisms for diagnosis timing in the International Classification of Diseases, Version 11.

Authors:  Vijaya Sundararajan; Marie-Annick Le Pogam; Danielle A Southern; Harold Alan Pincus; William A Ghali
Journal:  BMC Med Inform Decis Mak       Date:  2022-09-16       Impact factor: 3.298

  6 in total

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