Department of Psychology, University of Bath, Bath, United Kingdom.
Bristol Medical School, University of Bristol, Bristol, United Kingdom.
J Clin Epidemiol. 2021 Sep;137:200-208. doi: 10.1016/j.jclinepi.2021.04.002. Epub 2021 Apr 20.
Previous research on the minimal clinically important difference (MCID) for depression and anxiety is based on population averages. The present study aimed to identify the MCID across the spectrum of baseline severity.
The present analysis used secondary data from 2 randomized controlled trials for depression (n = 1,122) to calibrate the Global Rating of Change with the PHQ-9 and GAD-7. The MCID was defined as a change in scores corresponding to a 50% probability of patients "feeling better", given their baseline severity, referred to as Effective Dose 50 (ED50).
MCID estimates depended on baseline severity and ranged from no change for very mild up to 14 points (52%) on the PHQ-9 and up to 10 points (48%) on the GAD-7 for very high severity. The average MCID estimates were 3.7 points (23%) and 3.3 (28%) for the PHQ-9 and GAD-7 respectively.
The ED50 method generates MCID estimates across the spectrum of baseline severity, offering greater precision but at the cost of greater complexity relative to population average estimates. This has important implications for evaluations of treatments and clinical practice where users can use these results to tailor the MCID to specific populations according to baseline severities.
先前关于抑郁和焦虑的最小临床重要差异(MCID)的研究基于人群平均值。本研究旨在确定整个基线严重程度范围内的 MCID。
本分析使用了 2 项抑郁的随机对照试验的二级数据(n=1122),用 PHQ-9 和 GAD-7 对整体变化评级进行校准。MCID 定义为与患者“感觉更好”的概率为 50%相对应的分数变化,这是基于他们的基线严重程度,称为有效剂量 50(ED50)。
MCID 估计取决于基线严重程度,从非常轻度的无变化到 PHQ-9 的 14 分(52%),以及 GAD-7 的 10 分(48%),对于非常高的严重程度。PHQ-9 和 GAD-7 的平均 MCID 估计值分别为 3.7 分(23%)和 3.3 分(28%)。
ED50 方法在整个基线严重程度范围内生成 MCID 估计值,提供了更高的精度,但相对于人群平均值估计值,代价是更复杂。这对治疗评估和临床实践具有重要意义,用户可以根据基线严重程度,根据这些结果为特定人群调整 MCID。