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衡量生活质量的不平等:为什么EQ-5D可能低估了它
Jan Abel Olsen1, Gang Chen2, Admassu Lamu3
1Department of Community Medicine, Faculty of Health Sciences, UiT - the Arctic University of Norway, 9019, Tromsø, Norway. jan.abel.olsen@uit.no.
概括
使用EQ-5D测量的健康不平等研究显示出不同的结果. 这项研究揭示了与健康相关的生活质量 (HRQoL) 的教育梯度超出了EQ-5D-5L值,突出了需要考虑心理社会因素的必要性.
科学领域:
- 卫生经济学 卫生经济学
- 流行病学 流行病学
- 健康的社会决定因素
背景情况:
- EQ-5D被广泛用于评估健康不平等和健康的社会梯度.
- 在使用EQ-5D-5L描述系统与EQ视觉模拟量表 (EQ-VAS) 相比,在与健康有关的生活质量 (HRQoL) 中的社会梯度的度存在差异.
研究的目的:
- 调查EQ-5D-5L和EQ-VAS的不同健康不平等措施背后的原因.
- 在特定的EQ-5D-5L健康状况中,通过EQ-VAS测量教育成就和HRQoL之间的关系.
主要方法:
- 两大数据集的横截面分析 (特罗姆索研究第七波,N=21,083;MIC研究,N=8022).
- 识别流行的EQ-5D-5L配置文件.
- 线性回归分析用于检查EQ-5D-5L档案内的EQ-VAS得分变化,以教育程度,年龄和性别为对照来解释.
主要成果:
- 随着教育程度的提高,人们观察到EQ-VAS分数的显著增加.
- 在最常见的健康状况 (11121) 中,EQ-VAS分数随着教育而逐渐增加:比初级教育高1.7分 (中学),2.6分 (短期高等教育),3.7分 (长期高等教育).
结论:
- 这项研究表明,HRQoL的基础教育梯度不完全被单独的EQ-5D-5L值所捕获.
- 监测健康不平等应该与EQ-5D措施一起纳入更广泛的心理社会领域和适应方面.
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