Tanita Kretschmer1, Adrian Danker2, Olaf Müller3, Angela Rösen-Wolff4, Min Ae Lee-Kirsch4, Reinhard Berner4. 1. UniversitätsCentrum für Seltene Erkrankungen, Dresden University Hospital, Dresden, Deutschland. 2. Geschäftsbereich Informationstechnologie, Dresden University Hospital, Dresden, Deutschland. 3. Geschäftsbereich Netzwerke, Dresden University Hospital, Dresden, Deutschland. 4. Klinik und Poliklinik für Kinder- und Jugendmedizin, Dresden University Hospital, Dresden, Deutschland.
Abstract
AIM OF STUDY: The prevalence of rare diseases in hospitals and in university hospitals is unknown. As the ICD-10 coding system does not adequately represent rare diagnoses, the prevalence of rare diseases cannot be estimated based on ICD-10 coded discharge diagnoses. The current hospital reimbursement system does not seem to be designed to capture performance-related higher expenditures in the treatment of rare diseases. The aim of this study was to help estimate the frequency of rare diseases among inpatients treated at a university hospital where documentation of rare diseases is obligatory by analyzing the case load of such diseases for a given year. METHOD: Since 2017, rare diseases have been coded for all inpatients treated at the University Hospital Dresden. This coding is based on the Orpha identification number, which was implemented in the hospital information system ORBIS for this purpose. Result For illustrative purposes, cases in 2019 were evaluated. During this period, 19% of all 70,937 inpatients seen at the University Hospital Dresden were coded as having a rare disease. CONCLUSION: For the first time, a prospective and complete documentation of rare diseases was implemented at a German university hospital. The prevalence of rare diseases of 6 to 8% as defined by the European Union was exceeded several fold. Probably it underestimates the actual prevalence considerably, since the quality of the coding correlates on user compliance. Nevertheless, the results of this survey underline the special role of patients with rare diseases in the medical care at university hospitals. Thieme. All rights reserved.
AIM OF STUDY: The prevalence of rare diseases in hospitals and in university hospitals is unknown. As the ICD-10 coding system does not adequately represent rare diagnoses, the prevalence of rare diseases cannot be estimated based on ICD-10 coded discharge diagnoses. The current hospital reimbursement system does not seem to be designed to capture performance-related higher expenditures in the treatment of rare diseases. The aim of this study was to help estimate the frequency of rare diseases among inpatients treated at a university hospital where documentation of rare diseases is obligatory by analyzing the case load of such diseases for a given year. METHOD: Since 2017, rare diseases have been coded for all inpatients treated at the University Hospital Dresden. This coding is based on the Orpha identification number, which was implemented in the hospital information system ORBIS for this purpose. Result For illustrative purposes, cases in 2019 were evaluated. During this period, 19% of all 70,937 inpatients seen at the University Hospital Dresden were coded as having a rare disease. CONCLUSION: For the first time, a prospective and complete documentation of rare diseases was implemented at a German university hospital. The prevalence of rare diseases of 6 to 8% as defined by the European Union was exceeded several fold. Probably it underestimates the actual prevalence considerably, since the quality of the coding correlates on user compliance. Nevertheless, the results of this survey underline the special role of patients with rare diseases in the medical care at university hospitals. Thieme. All rights reserved.