Literature DB >> 26660153

Opportunities and challenges for quality and safety applications in ICD-11: an international survey of users of coded health data.

Danielle A Southern1, Marc Hall2, Deborah E White2, Patrick S Romano3, Vijaya Sundararajan4, Saskia E Droesler5, Harold A Pincus6, William A Ghali7.   

Abstract

OBJECTIVE: In 2018, the World Health Organization (WHO) plans to release the 11th revision of the International Classification of Diseases (ICD). The overall goal of the WHO is to produce a new disease classification that has an enhanced ability to capture health concepts in a manner that is compatible with contemporary information systems. Accordingly, our objective was to identify opportunities and challenges in improving the utility of ICD-11 for quality and safety applications.
DESIGN: A survey study of international stakeholders with expertise in either the production or use of coded health data.
SETTING: International producers or users of ICD-coded health care data. STUDY PARTICIPANTS: We used a snowball sampling approach to identify individuals with relevant expertise in 12 countries, mostly from North America, Europe, and Australasia. An 8-item online survey included questions on demographic characteristics, familiarity with ICD, experience using ICD-coded data on healthcare quality and safety, opinions regarding the use of ICD classification systems for quality and safety measurement, and current limitations and potential future improvements that would permit better coding of quality and safety concepts in ICD-11.
RESULTS: Two-hundred fifty-eight unique individuals accessed the online survey; 246 provided complete responses. The respondents identified specific desires for the ICD revision: more code content for adverse events/complications; a desire for code clustering mechanisms; the need for diagnosis timing information; and the addition of better code definitions to reference materials.
CONCLUSION: These findings reinforce the vision and existing work plan of the WHO's ICD revision process, because each of these desires is being addressed.
© 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: 26660153      PMCID: PMC4767047          DOI: 10.1093/intqhc/mzv096

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


  4 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.  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

4.  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

  4 in total
  4 in total

1.  Problems and Barriers during the Process of Clinical Coding: a Focus Group Study of Coders' Perceptions.

Authors:  Vera Alonso; João Vasco Santos; Marta Pinto; Joana Ferreira; Isabel Lema; Fernando Lopes; Alberto Freitas
Journal:  J Med Syst       Date:  2020-02-08       Impact factor: 4.460

2.  Preliminary study of patient safety and quality use cases for ICD-11 MMS.

Authors:  Susan H Fenton; Kathy L Giannangelo; Mary H Stanfill
Journal:  J Am Med Inform Assoc       Date:  2021-10-12       Impact factor: 7.942

3.  Leveraging Shannon Entropy to Validate the Transition between ICD-10 and ICD-11.

Authors:  Donghua Chen; Runtong Zhang; Xiaomin Zhu
Journal:  Entropy (Basel)       Date:  2018-10-08       Impact factor: 2.524

4.  A Bibliometric Analysis of the Development of ICD-11 in Medical Informatics.

Authors:  Donghua Chen; Runtong Zhang; Hongmei Zhao; Jiayi Feng
Journal:  J Healthc Eng       Date:  2019-12-25       Impact factor: 2.682

  4 in total

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