METHODOLOGY FOR MEASURING HEALTH-STATE PREFERENCES .1. MEASUREMENT STRATEGIES
METHODOLOGY FOR MEASURING HEALTH-STATE PREFERENCES .1. MEASUREMENT STRATEGIES
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DOI：
10.1016/0895-4356(89)90039-5
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发表时间：
1989-01-01
影响因子：
7.2
通讯作者：
KANE, RL
中科院分区：
文献类型：
--
作者：
FROBERG, DG;KANE, RL
价值观在个人和政策层面的决策中起着至关重要的作用。已经提出了许多确定个人和群体偏好的方法，但尚未就其科学充分性和可行性达成一致意见。这是四部分系列论文中的第一部分，分析和批评了测量偏好的最新技术，特别是测量健康状态偏好。在这第一篇论文中，我们讨论了相关属性的选择，包括健康状态的描述，和三个测量策略的相对优点：整体，显式分解，统计推断分解。功能测量方法，一个统计推断的分解策略，建议，因为它同时验证的过程中，法官结合联合收割机属性，他们分配给健康状态的规模值，和区间属性的规模。
Values play a critical part in decision making at both the individual and policy levels. Numerous methodologies for determining the preferences of individuals and groups have been proposed, but agreement has not been reached regarding their scientific adequacy and feasibility. This is the first of a four-part series of papers that analyzes and critiques the state-of-the-art in measuring preferences, particularly the measurement of health-state preferences. In this first paper we discuss the selection of relevant attributes to comprise the health-state descriptions, and the relative merits of three measurement strategies: holistic, explicity decomposed, and statistically inferred decomposed. The functional measurement approach, a statistically inferred decomposed strategy, is recommended because it simultaneously validates the process by which judges combine attributes, the scale values they assign to health states, and the interval property of the scale.