Evaluating the Statistical Significance of Health-Related Quality-of-Life Change in Individual Patients

Published in: Evaluation and the Health Professions, v. 28, no. 2, June 2005, p. 160-171

Posted on RAND.org on January 01, 2005

by Ron D. Hays, Marc Brodsky, M. Francis Johnston, Karen Spritzer, Ka-Kit Hui

Read More

Access further information on this document at Evaluation and the Health Professions

This article was published outside of RAND. The full text of the article can be found at the link above.

Assessing individual change is feasible and potentially useful in clinical practice. This article provides an overview of the evaluation of statistically significant change in health-related quality of life (HRQOL) for individual patients. The authors review the standard error of measurement, standard error of prediction, and reliable change indices using a sample of 54 patients receiving care at the UCLA Center for East-West Medicine. The largest amount of change necessary for statistical significance was found for the reliable change index and the smallest change was needed for the standard error of measurement. The amount of change required for statistical significance was intermediate for the standard error of prediction. The median kappa for classifying change (declined, stayed the same, improved) by different indices was .82, indicating a high level of agreement. Future research is needed to determine if one index is most appropriate for evaluating the significance of individual change.

This report is part of the RAND Corporation external publication series. Many RAND studies are published in peer-reviewed scholarly journals, as chapters in commercial books, or as documents published by other organizations.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.