Modeling valuations for EuroQol health states

Modeling valuations for EuroQol health states
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DOI:
10.1097/00005650-199711000-00002
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发表时间:
1997-11-01
期刊:
影响因子:
3
通讯作者:
Dolan, P
Dolan, P
中科院分区:
医学3区
文献类型:
--
作者:
Dolan, P

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目标.在评价不同的保健干预措施时,使用基于偏好的健康相关生活质量衡量标准已变得越来越普遍。其中一项措施,即欧洲生活质量,旨在用于这些目的,有必要为它产生的243种健康状况中的每一种得出一个单一的指数值。问题是,它几乎是不可能的,以产生所有这些国家的直接估值,因此,它是必要的,以找到一个程序,允许所有欧洲生活质量状态的估值从这些子集的直接估值插值。在最近的一项研究中,从英国人口的代表性样本中对42种EuroQol健康状态进行了直接评估(使用时间权衡法)。本文报告的方法,通过建立一个“关税”的欧洲生活质量值从这个数据。一个符合数据的简约模型被定义为这样一个模型,在该模型中,根据与每个维度相关的严重程度、与远离完全健康的任何移动相关的截距以及一个术语来解释评估,该术语用于确定状态中的任何维度是否处于最严重的水平。本文中提出的模型似乎预测的值的状态,有直接的观察,因此,可以用来插入值的状态,没有直接的观察存在。
OBJECTIVES. It has become increasingly common for preference-based measures of health-related quality of life to be used in the evaluation of different health-care interventions. For one such measure, The EuroQol, designed to be used for these purposes, it was necessary to derive a single index value for each of the 243 health states it generates. The problem was that it was virtually impossible to generate direct valuations for all of these states, and thus it was necessary to find a procedure that allows the valuations of all EuroQol states to be interpolated from direct valuations on a subset of these.METHODS. In a recent study, direct valuations were elicited for 42 EuroQol health states (using the time trade-off method) from a representative sample of the UK population. This article reports on the methodology that was adopted to build up a ''tariff'' of EuroQol values from this data.RESULTS. A parsimonious model that fits the data well was defined as one in which valuations were explained in terms of the level of severity associated With each dimension, an intercept associated with any move away from full health, and a term that picked up whether any dimension in the state was at its most severe level.CONCLUSIONS. The model presented in this article appears to predict the values of the states for which there are direct observations and, thus, can be used to interpolate values for the states for which no direct observations exist.