National School of Development, Peking University, Beijing, 100871, China.
Institute for Global Health and Development, Peking University, Beijing, 100871, China.
Health Qual Life Outcomes. 2022 Jan 29;20(1):14. doi: 10.1186/s12955-022-01917-x.
To develop an EQ-5D-3L social value set based on Chinese rural population's preferences using the time trade-off (TTO) method, and to compare the differences in preferences on health states between China urban and rural population.
Between Sep 2013 and Nov 2013, a total of 1201 participants were recruited from rural areas of five Chinese cities (Beijing, Chengdu, Guiyang, Nanjing, and Shenyang) using a quota sampling method. Each respondent valued 13 health states using the TTO, and a total of 97 EQ-5D-3L health states were directly valued for estimating the value set. Various models with different specifications were explored at both aggregate and individual levels. The final model was determined by a set of predefined selection criteria.
An ordinary least square model at the aggregate level included 10 dummy variables for specifying the level 2 and 3 for each dimension and an N3 term presenting any dimension on level 3 was selected as the final model. The final model provides a value set ranges from - 0.218 to 0.859. The predicted utility values were highly correlated with but consistently lower than that of the published Chinese EQ-5D-3L value set (for urban population).
The availability of the China rural value set provides a set of social preferences weights for researchers and policy decision-makers for use in China rural area.
使用时间权衡（TTO）法为中国农村人口制定基于 EQ-5D-3L 的社会价值集，并比较中国城乡人口对健康状况的偏好差异。
2013 年 9 月至 11 月，采用配额抽样法从中国 5 个城市（北京、成都、贵阳、南京和沈阳）的农村地区招募了 1201 名参与者。每位受访者使用 TTO 对 13 种健康状况进行了估值，共对 97 个 EQ-5D-3L 健康状况进行了直接估值，以估计价值集。在总体和个体水平上探索了各种具有不同规格的模型。最终模型是通过一套预定义的选择标准确定的。
在总体水平上，普通最小二乘模型包括 10 个虚拟变量，用于指定每个维度的 2 级和 3 级，以及任何维度在 3 级的 N3 项被选为最终模型。最终模型提供的价值集范围为-0.218 至 0.859。预测的效用值与已发表的中国 EQ-5D-3L 价值集（城市人口）高度相关，但始终较低。
中国农村价值集的可用性为研究人员和政策决策者在中国农村地区提供了一套社会偏好权重。
