Approaches and Recommendations for Estimating Minimally Important Differences for Health-Related Quality of Life Measures

Ron D. Hays School of Public Health, Division of Health Services, UCLA, Los Angeles, CaliforniaUSA; Department of Medicine, Division of GIM and HSR, UCLA, 911 Broxton Plaza, Los Angeles, California, 90095-1736, USA; Health Program, RAND, Santa Monica, CaliforniaUSA; Department of Medicine, Division of GIM and HSR, UCLA, 911 Broxton Plaza, Los Angeles, CA, 90095-1736, USA

, Ph.D.,

Sepideh S. Farivar School of Public Health, Division of Health Services, UCLA, Los Angeles, CaliforniaUSA

, M.P.H. &

Honghu Liu Department of Medicine, Division of GIM and HSR, UCLA, 911 Broxton Plaza, Los Angeles, California, 90095-1736, USA

Abstract

We describe currently available approaches for estimating the minimally important difference (MID) and their associated strengths and weaknesses. Specifically, we show that anchor-based methods should be the primary method of estimating the MID because of the limitations of distribution-based methods. In addition, we provide recommendations for estimating the MID in future research.

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Approaches and Recommendations for Estimating Minimally Important Differences for Health-Related Quality of Life Measures

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Approaches and Recommendations for Estimating Minimally Important Differences for Health-Related Quality of Life Measures

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