Affiliation:
1. Goethe-Universitat Frankfurt am Main Fachbereich 16 Medizin
2. Goethe-Universität Frankfurt am Main Fachbereich 16 Medizin: Goethe-Universitat Frankfurt am Main Fachbereich 16 Medizin
3. Goethe University Frankfurt Faculty 16 Medicine: Goethe-Universitat Frankfurt am Main Fachbereich 16 Medizin
Abstract
Abstract
Background: The Pareto Principle asserts that a large portion of results can be achieved with a small amount of effort. Wakap et al. found that around 80% of individuals with rare diseases (RD) suffer from one of 149 specific rare diseases. A significant challenge in the RD domain is the lack of information, compounded by the fact that most RD are not specifically codifiable in the ICD-10, leading to a deficit in reliable epidemiological data. Additionally, time constraints in medical education hinder the comprehensive teaching of all RD, contributing to the diagnostic odyssey problem through failure of recognizing diseases.
We identified the most and second most prevalent RD (prevalences of 1-5/10,000 and 1-9/100,000, respectively) from the Orphanet Epidemiology File, totaling 454 diseases. We investigated the feasibility of specific coding using ICD-10-GM and whether these diseases were explicitly listed in the subject catalog (GK) of the second state examination in human medicine in Germany. A two-sided chi-square test was employed to identify statistically significant differences between prevalence groups.
Results: Out of 454 diseases, a total of 34% could be specifically coded in ICD-10-GM, with 49% of diseases in the 1-5/10,000 prevalence range (153 RD) and 26% in the 1-9/100,000 range (301 RD) having specific codes. Approximately 15% of all investigated diseases were part of the GK, with 25% of the most prevalent and 10% of the second most prevalent RD group, respectively. Statistically significant differences were observed between prevalence groups concerning the presence of a specific ICD-10-GM code and inclusion in the GK.
Conclusions: Only 49% of the most prevalent RD can be specifically coded, highlighting the challenge of limited epidemiological data on RD. In Germany, the Alpha-ID was introduced in addition to ICD-10 in the inpatient setting to obtain more valid epidemiological data on RD. Recognizing the Pareto Principle's applicability, the study emphasizes the importance of including the most common rare diseases in medical education. While recognizing the limitations, especially in covering ultra-rare diseases, the study underscores the potential benefits of enhancing medical curricula to improve rare disease awareness and diagnostic accuracy.
Publisher
Research Square Platform LLC
Reference15 articles.
1. Empfehlung des Rates vom 8. Juni 2009 für eine Maßnahme im Bereich seltener Krankheiten;Union RderE;Amtsblatt der Europäischen Union Nr C,2009
2. Eidt D. Maßnahmen zur Verbesserung der gesundheitlichen Situation von Menschen mit seltenen Erkrankungen in Deutschland - Studie im Auftrag des Bundesministeriums für Gesundheit. https://www.namse.de/fileadmin/user_upload/downloads/BMG_Forschungsbericht_Seltene_Krankheiten.pdf (2009).
3. Why rare diseases are an important medical and social issue;Schieppati A;Lancet,2008
4. Rare diseases in ICD11: making rare diseases visible in health information systems through appropriate coding;Aymé S;Orphanet J Rare Dis,2015
5. Seltene Erkrankungen in den Daten sichtbar machen – Kodierung;Martin T;Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz,2022