Half standard deviation estimate of the minimally important difference in HRQOL scores?
Half standard deviation estimate of the minimally important difference in HRQOL scores?
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DOI：
10.1586/14737167.4.5.515
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发表时间：
2004-10-01
影响因子：
2.3
通讯作者：
Hays, Ron D
中科院分区：
文献类型：
--
作者：
Farivar, Sepideh S;Liu, Honghu;Hays, Ron D
除了统计学显著性外，重要的是评估随时间推移健康相关生活质量的差异程度。在过去的几年里，人们对确定临床上重要的最小差异或最小重要差异的兴趣越来越大。本文总结了一些主要的方法来估计最小重要的差异，提供了警告的最小重要的差异估计的基础上现有的文献，并为今后的工作提供了建议。作者建议使用多个锚点来估计最小重要差异，仅使用与健康相关生活质量变化最小相对应的锚点，报告有关估计值变化的信息，并提供有界估计值以反映不确定性。
In addition to statistical significance, it is important to evaluate the magnitude of differences in health-related quality of life over time. Interest in establishing the minimal difference that is clinically important or the minimally important difference has burgeoned over the last few years. This review summarizes some of the leading approaches to estimating the minimally important difference, offers caveats on the minimally important difference estimation based on existing literature and provides recommendations for future work. The authors recommend using multiple anchors to estimate the minimally important difference, using only anchors that correspond to minimal change in health-related quality of life, reporting information about the variation around the estimates, and providing bounded estimates to reflect the uncertainty.