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Consensus quality indicators for monitoring multiple sclerosis.
Voigt, Isabel; Fischer, Stefanie; Proschmann, Undine; Konofalska, Urszula; Richter, Peggy; Schlieter, Hannes; Berger, Thomas; Meuth, Sven G; Hartung, Hans-Peter; Akgün, Katja; Ziemssen, Tjalf.
Affiliation
  • Voigt I; Center of Clinical Neuroscience, Department of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, Dresden 01307, Germany.
  • Fischer S; Center of Clinical Neuroscience, Department of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, Dresden 01307, Germany.
  • Proschmann U; Center of Clinical Neuroscience, Department of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, Dresden 01307, Germany.
  • Konofalska U; Center of Clinical Neuroscience, Department of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, Dresden 01307, Germany.
  • Richter P; Research Group Digital Health, Faculty of Business and Economics, TUD Dresden University of Technology, Dresden 01062, Germany.
  • Schlieter H; Research Group Digital Health, Faculty of Business and Economics, TUD Dresden University of Technology, Dresden 01062, Germany.
  • Berger T; Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, Vienna 1090, Austria.
  • Meuth SG; Comprehensive Center for Clinical Neurosciences & Mental Health, Medical University of Vienna, Währinger Gürtel 18-20, Vienna 1090, Austria.
  • Hartung HP; Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstr. 5, Düsseldorf 40225, Germany.
  • Akgün K; Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstr. 5, Düsseldorf 40225, Germany.
  • Ziemssen T; Center of Clinical Neuroscience, Department of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, Dresden 01307, Germany.
Lancet Reg Health Eur ; 40: 100891, 2024 May.
Article in En | MEDLINE | ID: mdl-38585674
ABSTRACT
Multiple sclerosis (MS) as a chronic, degenerative autoimmune disease of the central nervous system has a longitudinal and heterogeneous course with increasing treatment options and risk profiles requiring constant monitoring of a growing number of parameters. Despite treatment guidelines, there is a lack of strategic and individualised monitoring pathways, including respective quality indicators (QIs). To address this, we systematically developed transparent, traceable, and measurable QIs for MS monitoring. Through literature review, expert discussions, and consensus-building, existing QIs were identified and refined. In a two-stage online Delphi process involving MS specialists (on average 53 years old and with 25 years of professional experience), the QIs were evaluated for content, clarity, and intelligibility, resulting in a set of 24 QIs and checklists to assess the quality of care. The final QIs provide a structured approach to document, monitor, and enhance the quality of care for people with MS across their treatment journey.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Lancet Reg Health Eur Year: 2024 Document type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Lancet Reg Health Eur Year: 2024 Document type: Article Affiliation country: Germany
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