Constructing a classification of hypersensitivity/allergic diseases for ICD-11 by crowdsourcing the allergist community
Year: 2015
Type: article
Abstract: The global allergy community strongly believes that the 11th revision of the International Classification of Diseases (ICD-11) offers a unique opportunity to improve the classification and coding of hypersensitivity/allergic diseases via inclusion of a specific chapter dedicated to this disease area to facilitate epidemiological studies, as well as to evaluate the true size of the allergy epidemic. In this context, an international collaboration has decided to revise the classification of hypersensitivity/allergic diseases and to validate it for ICD-11 by crowdsourcing the allergist community. After careful comparison between ICD-10 and 11 beta phase linearization codes, we identified gaps and trade-offs allowing us to construct a classification proposal, which was sent to the European Academy of Allergy and Clinical Immunology (EAACI) sections, interest groups, executive committee as well as the World Allergy Organization (WAO), and American Academy of Allergy Asthma and Immunology (AAAAI) leaderships. The crowdsourcing process produced comments from 50 of 171 members contacted by e-mail. The classification proposal has also been discussed at face-to-face meetings with experts of EAACI sections and interest groups and presented in a number of business meetings during the 2014 EAACI annual congress in Copenhagen. As a result, a high-level complex structure of classification for hypersensitivity/allergic diseases has been constructed. The model proposed has been presented to the WHO groups in charge of the ICD revision. The international collaboration of allergy experts appreciates bilateral discussion and aims to get endorsement of their proposals for the final ICD-11.
Source: Allergy
DOI: 10.1111/all.12604
Institutions: Hospital Sírio-Libanês, Royal Brompton Hospital, Imperial College London, Kaiser Permanente, University Hospital of Basel, University of South Florida, Mayo Clinic, Centro Médico Docente La Trinidad, Children's Mercy Hospital, Nippon Medical School, National and Kapodistrian University of Athens, University of Manchester, Sorbonne Université, Centre Hospitalier Universitaire de Montpellier, Université Pierre-et-Marie-Curie
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W2036601291
