EQ-5D is generic measure of health-related quality of life. Studies using EQ-5D generate ordinal data that are interpreted as categories ordered by severity. New analytic approaches taking into account the ordinal nature of the health dimension severity and leading to a better interpretation of EQ-5D data are needed to better elucidate differences in health-related quality of life. We propose utilizing the Improved RIDIT statistical method to analyze EQ-5D outcomes. 556 Moroccan participants aged over 18 years representing four chronic diseases: back pain (n = 158), renal insufficiency (n = 56), diabetes (n = 82) or hypertension (n = 80) and healthy subjects (n = 180). All participants received the two EQ-5D versions. Two other published data sets were included. The first was extracted from a diabetic Spain study and the second was extracted from a clinical trial study. The Improved RIDIT analyses were carried out using an R statistic program we developed. Applying the Improved RIDIT on the EQ-5D data allowed estimating for the first time the ordinal odds, the Absolute Risk Reduction (ARR) or the Absolute Risk Increase (ARI) and the Number Needed to Treat. The ARI values estimated for Moroccan patients showed that (i) hypertension increased anxiety/depression by 66% and reduced mobility by 65%; (ii) back pain increased pain/discomfort by 69%; (iii) renal insufficiency impacts mobility (ARI = 57%, oddsordinal = 9.95) and usual activities (ARI = 44%, oddsordinal = 6.41) and (iv) diabetes acts only on anxiety/depression (ARI = 50%, oddsordinal = 4.8). Also, we demonstrated that the approach works well in clinical trials. Improved RIDIT provides more intuitive and informative interpretation of the EQ-5D data by (1) taking into account the level severity; estimating (2) the odds ordinal, (3) the ARR/ARI and the NNT; (4) analyzing the five dimensions of the EQ-5D separately, which gives clinical teams more precision in understanding the treatment/pathology impacts on the health status and completes the EQ-5D data analysis based on score utilities.

中文翻译：

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改进的RIDIT统计方法提供了对EQ-5D数据的更直观，更有意义的解释。

EQ-5D是与健康相关的生活质量的通用指标。使用EQ-5D的研究生成的序数数据被解释为按严重性排序的类别。需要新的分析方法，考虑到健康维度严重程度的序数性质，并导致更好地解释EQ-5D数据，以更好地阐明与健康相关的生活质量的差异。我们建议利用改进的RIDIT统计方法来分析EQ-5D结果。556名年龄在18岁以上的摩洛哥参与者代表四种慢性疾病：腰痛（n = 158），肾功能不全（n = 56），糖尿病（n = 82）或高血压（n = 80）和健康受试者（n = 180）。所有参与者都收到了两个EQ-5D版本。还包括其他两个已发布的数据集。第一个从西班牙的糖尿病研究中提取，第二个从临床试验研究中提取。改进的RIDIT分析是使用我们开发的R统计程序进行的。在EQ-5D数据上应用改进的RIDIT，可以首次估算序数赔率，绝对风险降低（ARR）或绝对风险增加（ARI）以及需要处理的数字。摩洛哥患者的ARI值估计表明：（i）高血压使焦虑/抑郁感增加了66％，而活动能力降低了65％；（ii）背痛使疼痛/不适感增加了69％；（iii）肾功能不全影响活动性（ARI = 57％，奇数= 9.95）和日常活动（ARI = 44％，奇数= 6.41），（iv）糖尿病仅对焦虑/抑郁产生作用（ARI = 50％，奇数= 4.8） ）。也，我们证明了该方法在临床试验中效果很好。改进的RIDIT通过以下方式对EQ-5D数据提供了更加直观和信息丰富的解释：（1）考虑了级别的严重性；估计（2）赔率序数；（3）ARR / ARI和NNT；（4）分别分析EQ-5D的五个维度，这使临床团队可以更准确地了解治疗/病理学对健康状况的影响，并基于评分实用程序完成EQ-5D数据分析。