ORPHAcodes use for the coding of rare diseases: comparison of the accuracy and cross–­­country comparability

Author:

Mazzucato Monica1ORCID,Pozza Laura Visonà Dalla2,Facchin Paola2,Angin Céline3,Agius Francis4,Cavero-Carbonell Clara5,Corrochano Virginia6,Hanusova Katerina7,Kirch Kurt8,Lambert Deborah9,Lucano Caterina10,Maiella Sylvie10,Panzaru Monica11,Rusu Cristina11,Weber Stefanie8,Zurriaga Oscar5,Zvolsky Miroslav7,Rath Ana10

Affiliation:

1. RD Coordinating Centre Veneto region, Padua University Hospital

2. RD Coordinating Centre, Veneto region Padua University Hospital

3. APHP: Assistance Publique - Hopitaux de Paris

4. Mater Dei Hospital

5. Foundation for the Promotion of the Research in Healthcare and Biomedicine: Fundacio per al Foment de la Investigacio Sanitaria i Biomedica

6. CIBERER: Centro de Investigacion Biomedica en Red de Enfermedades Raras

7. Institute of Health Information and Statistics of the Czech Republic

8. BfArM: Bundesinstitut fur Arzneimittel und Medizinprodukte

9. Rotunda Hospital

10. Inserm US14-Orphanet

11. Grigore T Popa University of Medicine and Pharmacy Iasi Faculty of Medicine: Universitatea de Medicina si Farmacie Grigore T Popa lasi Facultatea de Medicina

Abstract

Abstract Background: Estimates of rare disease (RD) population impact in terms of number of affected patients and accurate disease definition is hampered by their under-representation in current coding systems. This study tested the use of a specific RD codification system (ORPHAcodes) in five European countries/regions (Czech Republic, Malta, Romania, Spain, Veneto region-Italy) across different data sources over the period January 2019-September 2021. Results: Overall, 3,133 ORPHAcodes were used to describe RD diagnoses, mainly corresponding to the disease/subtype of disease aggregation level of the Orphanet classification (82.2%). More than half of the ORPHAcodes (53.6%) described diseases having a very low prevalence (<1 case per million), and most commonly captured rare developmental defects during embryogenesis (31.3%) and rare neurological diseases (17.6%). ORPHAcodes described disease entities more precisely than corresponding ICD-10 codes in 83.4% of cases. Conclusions: ORPHAcodes were found to be a versatile resource for the coding of RD, able to assure consistency of use and inter-country comparability across population and hospital databases. Future research on the impact of ORPHAcoding as to the impact of numbers of RD patients with improved coding in health information systems is needed to inform on the real magnitude of this public health issue.

Publisher

Research Square Platform LLC

Reference32 articles.

1. Rare disease emerging as a global public health priority;Chung CCY;Front Public Health,2022

2. Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet database;Nguengang Wakap S;Eur J Hum Genet.,2020

3. Rare diseases in ICD-11: making rare diseases visible in health information systems through appropriate coding;Aymé S;Orphanet J Rare Dis,2015

4. Council recommendation of 8 June 2009 on an action in the field of rare diseases;The Council of the European Union;Off J Eur Union,2009

5. European Commission Expert Group on Rare Diseases: “Recommendation on Ways to Improve Codification for Rare Diseases in Health Information Systems”. 2014. https://health.ec.europa.eu/system/files/2016-11/recommendation_coding_cegrd_en_0.pdf. Accessed 7 Jan 2023.

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