Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.
Association of Dutch Burn Centers, Maasstad Hospital, Rotterdam, Netherlands.
Front Public Health. 2021 Nov 4;9:744405. doi: 10.3389/fpubh.2021.744405. eCollection 2021.
This study explored the additive value of the multi-item EuroQol 5-Dimension 5-Level (EQ-5D-5L) as an outcome measure in health inequality analyses, relative to the single-item EuroQol visual analog scale (EQ VAS). A sample comprising the general population from Italy, the Netherlands, and United Kingdom (UK) completed the EQ-5D-5L and the EQ VAS. The level of education was selected as a proxy for socio-economic status (SES). EQ-5D-5L level sum scores (LSS) were compared against EQ VAS scores. Stratified and multivariable analyses were used to study the associations between SES and the LSS/EQ VAS relative to the presence of chronic health conditions. A total of 10,172 people participated in this study. In the UK and Netherlands, the LSS was worst for respondents with a low educational level and better for respondents with middle and high educational levels. For Italy, the LSS was best for respondents with a middle educational level compared to respondents with low and high educational levels. The same patterns were observed for the EQ VAS, but differences were slightly smaller. Multivariable analyses showed generally stronger predictive relations in the UK, and with the LSS. The presence of chronic health conditions and being unable to work were independent strong predictors, canceling out the effects of education. In three different European countries, the EQ-5D measures show the presence of education-dependent health inequalities, which are universally explained in regression analysis by independently the presence of chronic health conditions and the inability to work. In stratified analysis, the EQ-5D-5L LSS discriminates slightly better between participants with different levels of SES compared to the EQ VAS.
本研究探讨了多项目 EuroQol 5 维度 5 级量表(EQ-5D-5L)作为健康不平等分析中的结果测量指标的附加价值,相对于单项目 EuroQol 视觉模拟量表(EQ VAS)。一个由意大利、荷兰和英国的一般人群组成的样本完成了 EQ-5D-5L 和 EQ VAS。教育程度被选为社会经济地位(SES)的代表。EQ-5D-5L 水平总分(LSS)与 EQ VAS 分数进行比较。分层和多变量分析用于研究 SES 与 LSS/EQ VAS 之间的关联,以及与慢性健康状况的存在相关。共有 10172 人参与了这项研究。在英国和荷兰,教育程度较低的受访者的 LSS 最差,而教育程度较高的受访者的 LSS 较好。对于意大利,与教育程度较低和较高的受访者相比,教育程度中等的受访者的 LSS 最好。EQ VAS 也观察到了相同的模式,但差异稍小。多变量分析表明,英国的预测关系通常更强,且与 LSS 相关。慢性健康状况和无法工作是独立的强预测因素,抵消了教育的影响。在三个不同的欧洲国家,EQ-5D 测量结果显示存在教育相关的健康不平等,这些不平等在回归分析中普遍由慢性健康状况和无法工作的存在来解释。在分层分析中,EQ-5D-5L LSS 与 EQ VAS 相比,在区分不同 SES 水平的参与者方面略有优势。