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The DEP-6D, a new preference-based measure to assess health states of dependency

机译:DEP-6D是一种基于偏好的新评估方法,用于评估依赖关系的健康状况

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In medical literature there are numerous multidimensional scales to measure health states for dependence in activities of daily living. However, these scales are not preference-based and are not able to yield QALYs. On the contrary, the generic preference-based measures are not sensitive enough to measure changes in dependence states. The objective of this paper is to propose a new dependency health state classification system, called DEP-6D, and to estimate its value set in such a way that it can be used in QALY calculations. DEP-6D states are described as a combination of 6 attributes (eat, incontinence, personal care, mobility, housework and cognition problems), with 3-4 levels each. A sample of 312 Spanish citizens was surveyed in 2011 to estimate the DEP-6D preference-scoring algorithm. Each respondent valued six out of the 24 states using time trade-off questions. After excluding those respondents who made two or more inconsistencies (6% out of the sample), each state was valued between 66 and 77 times. The responses present a high internal and external consistency. A random effect model accounting for main effects was the preferred model to estimate the scoring algorithm. The DEP-6D describes, in general, more severe problems than those usually described by means of generic preference-based measures. The minimum score predicted by the DEP-6D algorithm is -0.84, which is considerably lower than the minimum value predicted by the EQ-SD and SF-6D algorithms. The DEP-6D value set is based on community preferences. Therefore it is consistent with the so-called 'societal perspective'. Moreover, DEP-6D preference weights can be used in QALY calculations and cost-utility analysis. (C) 2016 Published by Elsevier Ltd.
机译:在医学文献中,有许多多维量表可以测量健康状况,以了解其对日常生活活动的依赖性。但是,这些量表不是基于偏好的,因此无法产生QALY。相反,基于通用偏好的度量不够敏感,无法度量依赖状态的变化。本文的目的是提出一种新的依赖关系健康状态分类系统,称为DEP-6D,并以可用于QALY计算的方式估算其值集。 DEP-6D状态被描述为6个属性(饮食,失禁,个人护理,活动能力,家务劳动和认知问题)的组合,每个属性有3-4个级别。 2011年对312名西班牙公民进行了抽样调查,以评估DEP-6D偏好评分算法。每个受访者使用时间权衡问题对24个州中的6个州进行了评估。在排除了两个或两个以上不一致的受访者(占样本的6%)之后,每个州的估值是66到77倍。这些响应具有很高的内部和外部一致性。考虑主效应的随机效应模型是估计评分算法的首选模型。一般而言,DEP-6D所描述的问题比通常基于通用偏好的度量所描述的问题更为严重。 DEP-6D算法预测的最低分数为-0.84,这大大低于EQ-SD和SF-6D算法预测的最低分数。 DEP-6D值集基于社区首选项。因此,这与所谓的“社会视角”是一致的。此外,DEP-6D优先权重可用于QALY计算和成本效用分析。 (C)2016由Elsevier Ltd.出版

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