Health state utility valuations in relation to the Dermatology Life Quality Index

These data were collected for our empirical research about the utility valuation of skin disease-related health states. The data were collected through an online survey to which respondents were recruited from the adult general population of Hungary. The sample was selected by non-probabilistic quota sampling, and it is representative of the adult general population of Hungary in terms of main demographic characteristics. Data collection and the research was funded by the Ministry for Innovation and Technology of Hungary conjointly with Corvinus University of Budapest.

The data set contains the data of n=2001 participants, who were asked to provide time trade-off (TTO) utility valuations concerning hypothetical, dermatologically relevant health states. Participants were randomly assigned to one of 18 experimental conditions (‘random blocks’) determining the health states to be valuated. Each random block contained five health states, which were presented to participants in randomized order. Health states were described in terms of their skin disease-related negative impacts on life quality, corresponding to specific combinations of severity levels according to the Dermatology Life Quality Index (DLQI) scale.

As for the TTO valuation task, participants were asked to imagine having a remaining lifespan of ten years, which they were to live in a given hypothetical health state. Then they had to indicate how many of these ten years they would be willing to give up in exchange for regaining perfect health for the rest of their lives. There were 21 response categories ranging from 0 to 10 years by half-year increments. [0–1] utility values (y) were calculated for each response according to the formula y=1-t/10, whereby t was the individuals’s choice in the TTO valuation task, i.e. the number of years he/she would be willing to trade off for perfect health.

The primary objective of the research was to investigate how health state utility valuations were related to scores on the ten items of the DLQI scale.

本数据集采集自一项针对皮肤疾病相关健康状态效用估值的实证研究。数据通过在线调查方式采集，受访者招募自匈牙利成年普通人群。样本采用非概率配额抽样法选取，在主要人口统计学特征层面可代表匈牙利成年普通人群。本研究与数据采集工作由匈牙利创新与技术部与布达佩斯考文纽斯大学联合资助。

本数据集包含2001名参与者的调研数据，所有参与者需针对假设的皮肤疾病相关健康状态完成时间权衡（time trade-off, TTO）效用估值任务。参与者被随机分配至18个实验条件（random blocks，即随机块）中的一个，每个实验条件对应需估值的健康状态集合。每个随机块包含5种健康状态，并以随机顺序向参与者展示。健康状态的描述基于其对生活质量的皮肤疾病相关负面影响，对应皮肤病生活质量指数（Dermatology Life Quality Index, DLQI）量表中特定严重程度等级的组合。

在TTO效用估值任务中，参与者需设想自身剩余寿命为10年，且全程处于指定的假设健康状态中。随后需表明，为换取余生完全健康，他们愿意放弃这10年中的多少年。本次任务共设21个响应选项，取值范围为0至10年，步长为半年。针对每一份响应，可通过公式y=1-t/10计算得到取值介于0~1之间的效用值y，其中t为参与者在TTO任务中选择的愿意放弃的年数，即用于交换完全健康的权衡年限。

本研究的核心目标为探究健康状态效用估值与DLQI量表10个条目得分之间的关联。