Data Resource Profile: The Multiple Sclerosis Documentation System 3D and AOK PLUS Linked Database (MSDS-AOK PLUS)

Author:

Ghiani Marco1,Zhuleku Evi2,Dillenseger Anja3,Maywald Ulf4,Fuchs Andreas4,Wilke Thomas1,Ziemssen Tjalf3ORCID

Affiliation:

1. Institut für Pharmakoökonomie und Arzneimittellogistik e.V. (IPAM e.V.), 23966 Wismar, Germany

2. Cytel Inc., 10785 Berlin, Germany

3. ZKN, Zentrum für Klinische Neurowissenschaften, Neurologische Klinik und Poliklinik für Neurologie, Universitätsklinikum Carl Gustav Carus, 01307 Dresden, Germany

4. AOK PLUS, 01067 Dresden, Germany

Abstract

Real-world evidence in multiple sclerosis (MS) is limited by the availability of data elements in individual real-world datasets. We introduce a novel, growing database which links administrative claims and medical records from an MS patient management system, allowing for the complete capture of patient profiles. Using the AOK PLUS sickness fund and the Multiple Sclerosis Documentation System MSDS3D from the Center of Clinical Neuroscience (ZKN) in Germany, a linked MS-specific database was developed (MSDS-AOK PLUS). Patients treated at ZKN and insured by AOK PLUS were recruited and asked for informed consent. For linkage, insurance IDs were mapped to registry IDs. After the deletion of insurance IDs, an anonymized dataset was provided to a university-affiliate, IPAM e.V., for further research applications. The dataset combines a complete record of patient diagnoses, treatment, healthcare resource use, and costs (AOK PLUS), with detailed clinical parameters including functional performance and patient-reported outcomes (MSDS3D). The dataset currently captures 500 patients; however, is actively expanding. To demonstrate its potential, we present a use case describing characteristics, treatment, resource use, and costs of a patient subsample. By linking administrative claims to clinical information in medical charts, the novel MSDS-AOK PLUS database can increase the quality and scope of real-world studies in MS.

Publisher

MDPI AG

Subject

General Medicine

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