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差距效应:围绕死亡的偏好不连续性。

The gap effect: discontinuities of preferences around dead.

作者信息

Stalmeier Peep F M, Busschbach Jan J V, Lamers Leida M, Krabbe Paul F M

机构信息

Department of Medical Technology Assessment, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.

出版信息

Health Econ. 2005 Jul;14(7):679-85. doi: 10.1002/hec.986.

Abstract

BACKGROUND

The assessment of health states considered to be worse than dead is a controversial issue.

OBJECTIVE

To investigate how health states are valued when they are close to dead. Differences between adjacent states are compared with the differences between the first positive/first negative state with death.

METHODS

A secondary analysis of the EuroQol EQ-5D data of the measurement of valuation and health (MVH) study was made. Visual analog scale (VAS) and time trade-off (TTO) preferences for 43 health states were obtained. Various subsets of 13 states were valued by 3395 respondents. States were rank ordered by their VAS and TTO values. Differences between adjacent states were calculated for the VAS and the positive and negative TTO values.

RESULTS

Complete data were obtained in 2997 respondents. The differences between the ordered VAS values were equally large. In contrast, significant gaps around dead were found for the positive as well as the negative TTO values.

DISCUSSION

These results are interpreted in light of a descriptive QALY model. This model was expanded to include utilities worse than dead. The VAS task does not pick up that bad states become intolerable, i.e. worse than dead, when they last too long, but the TTO task does. The current QALY model seems to lack descriptive validity for states valued worse than dead and for states with a maimal endurable time.

摘要

背景

对被认为比死亡更糟糕的健康状态进行评估是一个有争议的问题。

目的

研究当健康状态接近死亡时如何进行估值。将相邻状态之间的差异与第一个与死亡相关的正向/负向状态之间的差异进行比较。

方法

对欧洲五维度健康量表(EuroQol EQ - 5D)测量估值与健康(MVH)研究的数据进行二次分析。获得了43种健康状态的视觉模拟量表(VAS)和时间权衡(TTO)偏好。13种状态的不同子集由3395名受访者进行估值。根据VAS和TTO值对状态进行排序。计算VAS以及正向和负向TTO值中相邻状态之间的差异。

结果

2997名受访者获得了完整数据。排序后的VAS值之间的差异同样很大。相比之下,在死亡点附近,正向和负向TTO值均发现了显著差距。

讨论

根据描述性质量调整生命年(QALY)模型对这些结果进行了解释。该模型已扩展到包括比死亡更糟糕的效用值。VAS任务没有发现当糟糕状态持续时间过长时会变得无法忍受,即比死亡更糟糕,但TTO任务发现了这一点。当前的QALY模型对于估值比死亡更糟糕的状态以及具有最大可忍受时间的状态似乎缺乏描述有效性。

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