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Related Experiment Videos

A taxonomy for responsiveness.

D E Beaton1, C Bombardier, J N Katz

  • 1Institute for Work & Health, 250 Bloor St East, Ste 702, Toronto, Ontario, M4W 1E6, Canada. dbeaton@iwh.on.ca

Journal of Clinical Epidemiology
|December 26, 2001
PubMed
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Responsiveness of outcome measures is context-dependent, not a static property. A new taxonomy classifies responsiveness based on study context, aiding instrument selection for treatment effectiveness and program evaluations.

Area of Science:

  • Health Outcomes Research
  • Psychometrics
  • Biostatistics

Background:

  • Responsiveness is a key criterion for selecting outcome measures in treatment effectiveness studies, economic appraisals, and program evaluations.
  • Statistical measures like large effect sizes are often used to compare instrument responsiveness, but their interpretation is debated.
  • Existing approaches lack a standardized framework for describing an instrument's responsiveness within specific research contexts.

Purpose of the Study:

  • To propose a novel taxonomy for classifying the responsiveness of outcome measures.
  • To provide a contextualized framework for understanding and reporting instrument responsiveness.
  • To guide the selection of appropriate outcome measures in diverse research settings.

Main Methods:

Related Experiment Videos

  • Development of a three-axis classification system for responsiveness.
  • The axes consider the unit of analysis (individuals vs. groups), score comparison (over time vs. one point in time), and type of change quantified (observed vs. important change).

    • Main Results:

    • Responsiveness is proposed as a contextualized attribute, not an inherent property of an instrument.
    • The taxonomy allows for a nuanced description of an instrument's responsiveness (e.g., 'responsive to change in individuals over time').

    Conclusions:

    • Responsiveness should be described in relation to specific study contexts using the proposed taxonomy.
    • This approach enhances the clarity and utility of outcome measure selection in research and evaluation.
    • Standardized reporting of responsiveness will improve the comparability and interpretation of study findings.