Department of Medicine and Optometry, Faculty of Health and Life Sciences, Linnaeus University, 39182, Kalmar, Sweden.
Center of Physics, Optometry and Vision Science, University of Minho, Braga, Portugal.
Health Qual Life Outcomes. 2022 Sep 6;20(1):132. doi: 10.1186/s12955-022-02043-4.
The EQ-5D index often fails to detect the effect of ophthalmic diseases and sight loss. Investigating predictors of individual EQ-5D health dimensions might reveal the underlying reasons. The aim of this study was to investigate predictors of health dimension ratings obtained with the EQ-5D-3L from participants with impaired vision representing a spectrum of eye diseases.
Observational cross-sectional study with participants recruited at four public hospitals in Portugal. Outpatients with visual acuity of 0.30 logMAR(6/12) or worse in the better-seeing eye were invited to participate. Participants completed two instruments: the EQ-5D-3L (measures participants' perceived health-related quality-of-life) and the Massof Activity Inventory (measures visual ability-ability to perform vision-related activities). This study used logistic regression models to identify factors associated with responses to the EQ-5D-3L.
The study included 492 participants, mean age 63.4 years (range = 18-93), 50% females. The most common diagnosis was diabetic retinopathy (37%). The mean visual acuity in the better seeing eye was 0.65 logMAR (SD = 0.48) and the mean visual ability was 0.62 logits (SD = 2.04), the correlation between the two was r = - 0.511 (p < 0.001). Mobility and self-care were the health dimensions with the fewest problems (1% reported extreme problems), anxiety and depression the dimension with the most problems (24% reported extreme problems). ROC curve analysis showed that the EQ-5D index was a poor predictor of cases of vision impairment whilst visual ability given was a good predictor of cases of vision impairment. Visual ability was an independent predictor of the response for all dimensions, higher ability was always associated with a reduced odds of reporting problems. The odds of reporting problems were increased for females in 3 out of 5 dimensions. Comorbidities, visual acuity and age-category were predictors of the odds of reporting problems for one dimension each.
The odds of reporting problems for the five health dimensions of the EQ-5D-3L were strongly influenced by the ability to perform vision-related activities (visual ability). The EQ-5D index showed poor performance at detecting vision impairment. These findings are informative and relevant for the clinic and for research evaluating the impact of eye diseases and disease treatments in ophthalmology.
EQ-5D 指数通常无法检测到眼病和视力丧失的影响。研究个体 EQ-5D 健康维度的预测因素可能揭示潜在原因。本研究旨在调查代表一系列眼病的视力受损患者使用 EQ-5D-3L 获得的健康维度评分的预测因素。
这是一项在葡萄牙四家公立医院招募参与者的观察性横断面研究。邀请视力较好的眼睛最佳矫正视力(BCVA)为 0.30 logMAR(6/12)或更差的门诊患者参加。参与者完成了两个工具:EQ-5D-3L(衡量参与者的健康相关生活质量)和 Massof 活动量表(衡量视力相关活动的能力)。本研究使用逻辑回归模型确定与 EQ-5D-3L 反应相关的因素。
本研究纳入了 492 名参与者,平均年龄 63.4 岁(范围 18-93 岁),女性占 50%。最常见的诊断是糖尿病视网膜病变(37%)。较好眼的平均 BCVA 为 0.65 logMAR(SD=0.48),平均视力能力为 0.62 logits(SD=2.04),两者之间的相关性 r=-0.511(p<0.001)。移动性和自我护理是问题最少的健康维度(1%报告有极端问题),焦虑和抑郁是问题最多的维度(24%报告有极端问题)。ROC 曲线分析显示,EQ-5D 指数是视力障碍病例的不良预测指标,而提供的视力能力是视力障碍病例的良好预测指标。视力能力是所有维度反应的独立预测因素,较高的能力总是与报告问题的几率降低相关。在五个维度中的三个维度中,女性报告问题的几率增加。合并症、视力和年龄类别是每个维度报告问题几率的预测因素。
EQ-5D-3L 的五个健康维度报告问题的几率受到执行视力相关活动能力(视力能力)的强烈影响。EQ-5D 指数在检测视力障碍方面表现不佳。这些发现对于临床和评估眼科眼病和疾病治疗对影响的研究具有信息性和相关性。