Clinically important differences in health status for patients with heart disease: an expert consensus panel report

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Published on: August 9, 2024

Kathleen W Wyrwich1, John A Spertus, Kurt Kroenke

  • 1Department of Research Methodology, Saint Louis University, St Louis, MO 63103, USA. wyrwichk@slu.edu

American Heart Journal
|April 13, 2004
PubMed

Insights

Clinically Important Difference (CID) standards were developed for the Chronic Heart Failure Questionnaire (CHQ) and SF-36 in heart disease patients. These standards aid in interpreting health status changes for better clinical decision-making.

Area of Science:

  • Cardiology
  • Health Outcomes Research
  • Clinical Practice Guidelines

Background:

  • Clinically Important Difference (CID) standards are crucial for interpreting health status changes in patients with chronic heart conditions.
  • Existing standards for the Chronic Heart Failure Questionnaire (CHQ) primarily focused on patient-perceived changes.
  • No established CID standards existed for the Medical Outcomes Study Short-Form 36-Item Health Survey (SF-36) in heart disease populations.

Framework:

  • Modification of the RAND Appropriateness Method was employed.
  • A 9-member consensus panel of physicians with expertise in CHQ and SF-36 use in heart disease patients was assembled.
  • The panel guided the development of CID standards through consensus.

Implementation:

  • The expert panel achieved consensus on small, medium, and large clinically relevant score changes for both the CHQ and SF-36.
  • Consensus was based on the panel's clinical experience and a review of relevant literature.
  • The developed CID standards were found to be slightly higher than previously established minimal important difference standards for the CHQ.

Implications:

  • The established CID standards offer a valuable tool for assessing the clinical significance of health status changes.
  • These standards enhance physicians' capacity for informed decision-making in clinical practice.
  • Routine clinical health status assessments can be better utilized to determine patient benefit.
Abstract

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