The MSOAC approach to developing performance outcomes to measure and monitor multiple sclerosis disability

for the Multiple Sclerosis Outcome Assessments Consortium (MSOAC)

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Background: The Multiple Sclerosis Outcome Assessments Consortium (MSOAC) was formed by the National MS Society to develop improved measures of multiple sclerosis (MS)-related disability. Objectives: (1) To assess the current literature and available data on functional performance outcome measures (PerfOs) and (2) to determine suitability of using PerfOs to quantify MS disability in MS clinical trials. Methods: (1) Identify disability dimensions common in MS; (2) conduct a comprehensive literature review of measures for those dimensions; (3) develop an MS Clinical Data Interchange Standards Consortium (CDISC) data standard; (4) create a database of standardized, pooled clinical trial data; (5) analyze the pooled data to assess psychometric properties of candidate measures; and (6) work with regulatory agencies to use the measures as primary or secondary outcomes in MS clinical trials. Conclusion: Considerable data exist supporting measures of the functional domains ambulation, manual dexterity, vision, and cognition. A CDISC standard for MS (http://www.cdisc.org/therapeutic#MS) was published, allowing pooling of clinical trial data. MSOAC member organizations contributed clinical data from 16 trials, including 14,370 subjects. Data from placebo-arm subjects are available to qualified researchers. This integrated, standardized dataset is being analyzed to support qualification of disability endpoints by regulatory agencies.

Original languageEnglish (US)
Pages (from-to)1469-1484
Number of pages16
JournalMultiple Sclerosis Journal
Volume24
Issue number11
DOIs
StatePublished - Oct 1 2018

Keywords

  • MS disability
  • clinical trial database
  • data standards
  • performance outcome measures
  • regulatory qualification

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

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