Department of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand.
Biostatistics Centre, Division of Health Sciences, University of Otago, Dunedin, New Zealand.
Value Health. 2021 Sep;24(9):1308-1318. doi: 10.1016/j.jval.2021.04.1280. Epub 2021 Jun 26.
To derive New Zealand (NZ) population norms for the EQ-5D-5L and to examine the association between participants' sociodemographic characteristics and their health-related quality of life.
Data from the 2018 NZ EQ-5D-5L valuation study (n = 2468) were used. Each participant's 5-digit profile was converted to a single utility value using their personal value set. The profiles, mean utility values, and mean EuroQol visual analog scale (EQ-VAS) scores were summarized by dimension and disaggregated by age group and gender. Multivariable logistic and Tobit regressions were used to investigate the association between participants' sociodemographic characteristics and the EQ-5D-5L dimensions, utility values, and EQ-VAS scores.
The mean utility value was 0.847 and the mean EQ-VAS score was 74.8. Of the 3125 possible EQ-5D-5L profiles, 25 profiles represented the current health status of the majority of participants (78%). The odds of having problems with anxiety or depression was greatest for people aged 18 to 24 years and decreased with age. People with a long-term disability or chronic illness had greater odds of problems on all dimensions and lower (poorer) utility values and EQ-VAS scores. Age, ethnicity, employment status, long-term disability, and chronic illness were associated with utility.
EQ-5D-5L population norms were derived for the NZ population using the personal value sets of 2468 participants. Consistent with other countries' population norms, EQ-5D-5L utility values and EQ-VAS scores were associated with age, employment status, long-term disability, and chronic illness. These norms will support resource allocation decision making and help in understanding the health-related quality of life of the NZ population.
为新西兰(NZ)人群制定 EQ-5D-5L 人群正常值,并研究参与者的社会人口统计学特征与其健康相关生活质量之间的关系。
使用来自 2018 年 NZ EQ-5D-5L 估值研究(n=2468)的数据。使用每个参与者的个人价值集将其 5 位数字的个人资料转换为单一的效用值。根据维度对个人资料、平均效用值和平均 EuroQol 视觉模拟量表(EQ-VAS)评分进行总结,并按年龄组和性别进行细分。使用多变量逻辑回归和 Tobit 回归来研究参与者的社会人口统计学特征与 EQ-5D-5L 维度、效用值和 EQ-VAS 评分之间的关系。
平均效用值为 0.847,平均 EQ-VAS 评分为 74.8。在 3125 种可能的 EQ-5D-5L 个人资料中,有 25 种个人资料代表了大多数参与者的当前健康状况(78%)。18-24 岁的人出现焦虑或抑郁问题的几率最高,且随着年龄的增长而降低。有长期残疾或慢性疾病的人在所有维度上出现问题的几率更高,效用值和 EQ-VAS 评分更低(更差)。年龄、种族、就业状况、长期残疾和慢性疾病与效用有关。
使用 2468 名参与者的个人价值集为新西兰人群制定了 EQ-5D-5L 人群正常值。与其他国家的人群正常值一致,EQ-5D-5L 效用值和 EQ-VAS 评分与年龄、就业状况、长期残疾和慢性疾病有关。这些正常值将支持资源分配决策,并有助于了解新西兰人群的健康相关生活质量。