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

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.