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ORPHAcodes use for the coding of rare diseases: comparison of the accuracy and cross country comparability
M. Mazzucato, LVD. Pozza, P. Facchin, C. Angin, F. Agius, C. Cavero-Carbonell, V. Corrochano, K. Hanusova, K. Kirch, D. Lambert, C. Lucano, S. Maiella, M. Panzaru, C. Rusu, S. Weber, O. Zurriaga, M. Zvolsky, A. Rath
Language English Country England, Great Britain
Document type Journal Article, Research Support, Non-U.S. Gov't
NLK
BioMedCentral
from 2006-12-01
BioMedCentral Open Access
from 2006
Directory of Open Access Journals
from 2006
Free Medical Journals
from 2006
PubMed Central
from 2006
Europe PubMed Central
from 2006
ProQuest Central
from 2009-01-01
Open Access Digital Library
from 2006-01-01
Open Access Digital Library
from 2006-01-01
Medline Complete (EBSCOhost)
from 2006-01-01
Health & Medicine (ProQuest)
from 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
from 2006
Springer Nature OA/Free Journals
from 2006-12-01
- MeSH
- Databases, Factual MeSH
- Humans MeSH
- Hospitals * MeSH
- Rare Diseases * epidemiology MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Czech Republic MeSH
- Europe MeSH
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, 3133 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 easiness 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.
French National Rare Disease Registry Paris France
Grigore T Popa University of Medicine and Pharmacy Iasi Romania
Inserm US14 Orphanet Paris France
Institute of Health Information and Statistics of the Czech Republic Prague Czech Republic
Malta Mater Dei Hospital Msida Malta
RD Coordinating Centre Veneto Region Padua University Hospital Padua Italy
References provided by Crossref.org
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