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使用欧洲五维度健康量表(EuroQol 5D)的研究中的样本量计算。

Sample size calculations in studies using the EuroQol 5D.

作者信息

Roset M, Badia X, Mayo N E

机构信息

Catalan Institute of Public Health, University of Barcelona, Spain.

出版信息

Qual Life Res. 1999 Sep;8(6):539-49. doi: 10.1023/a:1008973731515.

Abstract

Health-related quality of life (HRQoL) instruments are increasingly used as outcome variables in clinical trials, leading to a requirement for sample size calculations based on these variables. This paper aims to provide a guide to sample size calculations for use with the EuroQol-5D. The paper focuses on sample sizes required for comparative studies, and uses scores from two reference groups of general population and critically ill patients to determine sample sizes using the three parts of the EQ-5D (descriptive system, visual analogue scale (VAS), and EQ-5D index). The effect on sample sizes of different methods of categorising the three variables are compared, and comparisons are also made between sample sizes using parametric and non-parametric methods. Sample sizes required when the EQ-5D descriptive system is used as a binary variable (problems/no problems) are higher than or equal to those required when each dimension is categorised in three levels of severity (no problems, moderate problems, extreme problems). The use of three categories is appropriate in ill populations, though in more healthy populations two categories should be used. Due to the slight skewness of VAS data, and the equality of results using parametric and non-parametric methods, sample size calculations using the VAS should be based on a parametric approach. Sample sizes were considerably higher for the EQ-5D index when predefined intervals, as opposed to a score frequency based categorisation, were used with the general population reference group. Using the EQ-5D index in ill populations, it is recommended that sample size calculations are based on parametric methods, whilst in healthier populations non-parametric methods should be used.

摘要

与健康相关的生活质量(HRQoL)工具在临床试验中越来越多地被用作结果变量,这就导致需要基于这些变量进行样本量计算。本文旨在为使用欧洲五维健康量表(EuroQol-5D)进行样本量计算提供指导。本文重点关注比较研究所需的样本量,并使用来自一般人群和重症患者两个参考组的分数,通过欧洲五维健康量表的三个部分(描述系统、视觉模拟量表(VAS)和欧洲五维健康量表指数)来确定样本量。比较了对这三个变量进行不同分类方法对样本量的影响,还对使用参数方法和非参数方法的样本量进行了比较。当将欧洲五维健康量表描述系统用作二元变量(有问题/无问题)时所需的样本量高于或等于将每个维度分为三个严重程度级别(无问题、中度问题、极端问题)时所需的样本量。在患病群体中使用三个类别是合适的,不过在更健康的群体中应使用两个类别。由于视觉模拟量表数据存在轻微偏态,且参数方法和非参数方法的结果相同,因此使用视觉模拟量表进行样本量计算应基于参数方法。对于一般人群参考组,当使用预定义区间而非基于分数频率的分类时,欧洲五维健康量表指数的样本量要高得多。在患病群体中使用欧洲五维健康量表指数时,建议样本量计算基于参数方法,而在更健康的群体中应使用非参数方法。

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