King M T
Centre for Health Economics Research and Evaluation, Westmead Hospital, New South Wales, Australia.
Qual Life Res. 1996 Dec;5(6):555-67. doi: 10.1007/BF00439229.
While quality of life (QOL) assessment is becoming more common, interpreting the results remains problematic. This paper demonstrates an approach to developing clinically-based interpretations for QOL outcomes, using the QLQ-C30 as an example. The results from 14 published QLQ-C30 studies which group patients by performance status, weight loss, toxicity, extent or severity of disease are collated. Groups with lower clinical status generally have worse QOL. The largest differences are between performance status groups, and the smallest differences are between groups of patients with local disease and those with metastases. The physical and role scores have the largest ranges of means across patient groups, and show the largest differences between clinical groups, while the cognitive and emotional scores have the smallest ranges of means and differences. Sicker groups have larger score standard deviations than healthier groups. Relatively large and small means and differences, and corresponding effect sizes, are presented. Collectively, the results provide a sense of the relative sizes of means and of differences, and of the types of clinical groups which give rise to them, thereby providing clinically-based benchmarks by which to interpret QLQ-C30 results.
虽然生活质量(QOL)评估越来越普遍,但对结果的解读仍然存在问题。本文以QLQ-C30为例,展示了一种为QOL结果制定基于临床的解读方法。整理了14项已发表的QLQ-C30研究结果,这些研究按体能状态、体重减轻、毒性、疾病范围或严重程度对患者进行分组。临床状态较低的组通常生活质量较差。最大的差异存在于体能状态组之间,最小的差异存在于局部疾病患者组和转移患者组之间。身体和角色得分在各患者组中的均值范围最大,在临床组之间的差异也最大,而认知和情感得分的均值范围和差异最小。病情较重的组比病情较轻的组得分标准差更大。文中呈现了相对较大和较小的均值及差异,以及相应的效应量。总体而言,这些结果提供了均值和差异的相对大小感,以及产生这些结果的临床组类型,从而提供了基于临床的基准,用以解读QLQ-C30结果。