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首页> 外文期刊>Health economics >Using DCE and ranking data to estimate cardinal values for health states for deriving a preference-based single index from the sexual quality of life questionnaire.
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Using DCE and ranking data to estimate cardinal values for health states for deriving a preference-based single index from the sexual quality of life questionnaire.

机译:使用DCE和排名数据来估计健康状态的基数,以便从性生活质量问卷中得出基于偏好的单一指数。

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摘要

There is an increasing interest in using data derived from ordinal methods, particularly data derived from discrete choice experiments (DCEs), to estimate the cardinal values for health states to calculate quality adjusted life years (QALYs). Ordinal measurement strategies such as DCE may have considerable practical advantages over more conventional cardinal measurement techniques, e.g. time trade-off (TTO), because they may not require such a high degree of abstract reasoning. However, there are a number of challenges to deriving the cardinal values for health states using ordinal data, including anchoring the values on the full health-dead scale used to calculate QALYs. This paper reports on a study that deals with these problems in the context of using two ordinal techniques, DCE and ranking, to derive the cardinal values for health states derived from a condition-specific sexual health measure. The results were compared with values generated using a commonly used cardinal valuation technique, the TTO. This study raises some important issues about the use of ordinal data to produce cardinal health state valuations.
机译:人们越来越关注使用序数方法得出的数据,尤其是离散选择实验(DCE)得出的数据来估计健康状态的基数,以计算质量调整生命年(QALY)。顺序测量策略(例如DCE)相对于更常规的基本测量技术(例如,DCE)可能具有相当大的实际优势。时间权衡(TTO),因为它们可能不需要如此高度的抽象推理。但是,使用序数数据得出健康状态的基值存在许多挑战,包括将这些值锚固在用于计算QALY的完整的健康死因量表上。本文报告了一项研究,该研究在使用两种顺序技术(DCE和排名)来得出针对特定状况的性健康措施得出的健康状态的基本值的情况下进行了研究。将结果与使用常用基数评估技术TTO生成的值进行比较。这项研究提出了一些有关使用序数数据进行基本健康状况评估的重要问题。

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