Department of Psychology, UiT The Arctic University of Norway, 9037, Tromsø, Norway.
Department of Global Public Health and Primary Care, University of Bergen, 5020, Bergen, Norway.
Qual Life Res. 2020 Sep;29(9):2553-2562. doi: 10.1007/s11136-020-02501-w. Epub 2020 Apr 23.
The EQ-5D is the most widely used generic preference-based health-related quality of life measure. It comprises five dimensions: mobility, self-care, usual activities, pain/discomfort and anxiety/depression. The usual activities dimension asks respondents to evaluate the severity of problems in their usual activities, such as work, study, housework, family or leisure activities. The primary aim of this study is to investigate whether the EQ-5D (five-level) usual activities dimension captures those activities that it intends to capture. We further assess the relative importance of each of these activities for the usual activities dimension.
Data include 7933 respondents from six countries: Australia, Canada, Germany, Norway, the UK, and the US. Logistic regression and ordinary least square regression models investigate the relationship between the usual activities dimension and its main predictors (work/study, housework, family, and leisure activities). A Shapley value decomposition method was applied to measure the relative importance of each predictor.
Work/study, housework, family, and leisure activities were all significant (p < 0.001) determinants of usual activities dimension. The respective marginal contribution (in %) of housework, leisure, work/study and family to UA dimension (as a share of goodness-of-fit) is 28.0, 26.2, 20.8 and 14.7 in the logistic regression model. This finding is consistent when linear regression is used as an alternative model.
The usual activities dimension in EQ-5D reflects the specific activities described to respondents. Therefore, the usual activities dimension measures what it really intends to measure.
EQ-5D 是使用最广泛的通用偏好健康相关生活质量衡量标准。它包含五个维度:移动性、自我护理、日常活动、疼痛/不适和焦虑/抑郁。日常活动维度要求受访者评估他们在日常活动中的问题的严重程度,如工作、学习、家务、家庭或休闲活动。本研究的主要目的是调查 EQ-5D(五水平)日常活动维度是否能捕捉到其意图捕捉的活动。我们进一步评估了这些活动中每个活动对日常活动维度的相对重要性。
数据包括来自六个国家/地区的 7933 名受访者:澳大利亚、加拿大、德国、挪威、英国和美国。逻辑回归和普通最小二乘法回归模型调查了日常活动维度与其主要预测因素(工作/学习、家务、家庭和休闲活动)之间的关系。采用 Shapley 值分解方法来衡量每个预测因素的相对重要性。
工作/学习、家务、家庭和休闲活动都是日常活动维度的重要(p < 0.001)决定因素。家务、休闲、工作/学习和家庭对 UA 维度的边际贡献(以%计)分别占逻辑回归模型拟合优度的 28.0、26.2、20.8 和 14.7。当线性回归作为替代模型时,这一发现是一致的。
EQ-5D 中的日常活动维度反映了向受访者描述的具体活动。因此,日常活动维度测量的是它真正想要测量的内容。