Toward standardized reporting for a cohort study on functioning: The Swiss Spinal Cord Injury Cohort Study

  • Birgit Prodinger
  • , Carolina S Ballert
  • , Mirjam Brach
  • , Martin W G Brinkhof
  • , Alarcos Cieza
  • , Kerstin Hug
  • , Xavier Jordan
  • , Marcel W M Post
  • , Anke Scheel-Sailer
  • , Martin Schubert
  • , Alan Tennant
  • , Gerold Stucki

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    OBJECTIVE: Functioning is an important outcome to measure in cohort studies. Clear and operational outcomes are needed to judge the quality of a cohort study. This paper outlines guiding principles for reporting functioning in cohort studies and addresses some outstanding issues.

    DESIGN: Principles of how to standardize reporting of data from a cohort study on functioning, by deriving scores that are most useful for further statistical analysis and reporting, are outlined. The Swiss Spinal Cord Injury Cohort Study Community Survey serves as a case in point to provide a practical application of these principles.

    METHODS AND RESULTS: Development of reporting scores must be conceptually coherent and metrically sound. The International Classification of Functioning, Disability and Health (ICF) can serve as the frame of reference for this, with its categories serving as reference units for reporting. To derive a score for further statistical analysis and reporting, items measuring a single latent trait must be invariant across groups. The Rasch measurement model is well suited to test these assumptions.

    CONCLUSION: Our approach is a valuable guide for researchers and clinicians, as it fosters comparability of data, strengthens the comprehensiveness of scope, and provides invariant, interval-scaled data for further statistical analyses of functioning.

    Original languageEnglish
    Pages (from-to)189-196
    Number of pages8
    JournalJournal of Rehabilitation Medicine
    Volume48
    Issue number2
    DOIs
    Publication statusPublished - Feb 2016

    Keywords

    • comparability
    • informed decision-making
    • epidemiology
    • health information systems
    • Rasch analysis

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