Klee M, Groenvold M, Machin D
Department of Oncology, Finsen Center, Rigshospitalet, Copenhagen.
Qual Life Res. 1999 Dec;8(8):733-42. doi: 10.1023/a:1008903818379.
The focus of the paper is to describe how to present data from studies on health-related quality of life (H-QoL) in a way that is simple and clinically relevant. Data from a longitudinal study of patients with advanced stages of cervix cancer are used. One hundred and eighteen patients filled out questionnaires (including EORTC QLQ-C30) 7 times over a period of 2 years. The following issues are considered: (1) The use of a panel for an initial overview of data. (2) The visual difference between using mean and median values. (3) Box-whisker plots to illustrate the variability of the data. (4) The effect of combining categorical data into fewer categories. (5) Individual patient profiles showing the wide variability among patients. (6) A table showing the change of scores over a one-year period. (7) "Prognostic plots" dividing the initial scores and the following scores. (8) Plotting changes over time. (9) Illustration of the impact of non-random dropout. (10) The effect of drop-out for the patients who fill out two sequential assessments. (11) The use of healthy controls to help answer the question "what is normal?".
本文的重点是描述如何以一种简单且与临床相关的方式呈现健康相关生活质量（H-QoL）研究的数据。使用了一项对晚期宫颈癌患者的纵向研究数据。118名患者在2年时间内填写了7次问卷（包括欧洲癌症研究与治疗组织核心问卷QLQ-C30）。考虑了以下问题：（1）使用一个小组对数据进行初步概述。（2）使用均值和中位数的视觉差异。（3）箱线图来说明数据的变异性。（4）将分类数据合并为更少类别的效果。（5）显示患者之间广泛变异性的个体患者概况。（6）一个显示一年期间分数变化的表格。（7）“预后图”划分初始分数和后续分数。（8）绘制随时间的变化。（9）说明非随机失访的影响。（10）填写两次连续评估的患者失访的影响。（11）使用健康对照来帮助回答“什么是正常？”这个问题。
