"Looking Under the Hood" of Anchor-Based Assessment of Clinically Important Change: A Machine Learning Approach.

Journal: Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
PMID: 34243824

Abstract

OBJECTIVES: The Global Assessment of Change (GAC) item has facilitated the interpretation of change in patient-reported outcomes, providing an anchor for computing minimally important differences. Construct validity has been documented via disease-specific patient-reported outcomes change. We examined what domains, sociodemographic characteristics, attributions of change, and cognitive-appraisal processes are reflected in GAC ratings.

Authors

  • Carolyn E Schwartz
    DeltaQuest Foundation, Inc, Concord, MA, USA; Departments of Medicine and Orthopaedic Surgery, Tufts University School of Medicine, Boston, MA, USA. Electronic address: carolyn.schwartz@deltaquest.org.
  • Roland B Stark
    DeltaQuest Foundation, Inc, Concord, MA, USA.
  • Wesley Michael
    Rare Patient Voice, LLC, Towson, MD, USA.
  • Bruce D Rapkin
    Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
  • Joel A Finkelstein
    Divisions of Orthopedic Surgery and Spine Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.

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