Preference Measurement for Multistate Health Profiles

多州健康档案的偏好测量

• 批准号: 6879421
• 负责人: JULIE A JACKO
• 金额: $ 10万
• 依托单位: GEORGIA INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6879421
• 关键词: clinical research; data collection methodology /evaluation; health care model; health science research analysis /evaluation; health services research tag; health surveys; human subject; method development; model design /development; preference; quality of life; questionnaires

DESCRIPTION (PROVIDED BY APPLICANT): This study aims at developing and testing a new method that can better capture preference for multistate health profiles. The motivation arose from the failure of the QALY (quality-adjusted life-year) model in capturing preferences for multistate health profiles. As past literature shows, the conventional QALY model violates one of its required assumptions, the additive independence. These findings imply that preferences between individual health states are not independent of each other. This study proposes a novel approach designed to measure preferences for multistate health profiles by looking at two consecutive health states at a time. It hypothesizes that the evaluation of a future health state is dependent or "conditioned" on the current health state. Characteristics of the current health state which are suspected to affect the "conditional preference scores" for future health state include duration of the current health state, direction of change, and the amplitude of change between the current and future health states. A full factorial design (three factors with two levels each) with three replications at three different levels of the future health state will be used to explore both main effects and interactions. Furthermore, this study will test whether the proposed technique, which assesses "conditional preference scores" for multistate health profiles, can better predict preference scores for an entire health profile than the unconditional health state assessments. Duration-weighted conditional preference scores and duration-weighted unconditional preference scores will be compared to directly elicited holistic scores for 10 hypothetical health profiles, each composed of carefully selected combinations of four health states. Two elicitation techniques will be employed for all tasks, visual analog scale (VAS) and time-tradeoff (TTO). A power analysis revealed that a sample size of 70 subjects for each technique will give at least 80% probability of detecting an effect size as small as 0.05. Subjects will be recruited from the student population at Georgia Tech. Human subjects approval has been obtained.

描述(由申请人提供)：这项研究旨在开发和测试一种新的方法，可以更好地捕获多个州的健康概况的偏好。其动机来自于QALY(质量调整生命年)模型未能捕捉到对多个州健康状况的偏好。正如过去的文献所表明的那样，传统的QALY模型违反了它所要求的一个假设，即加性独立性。这些发现表明，不同健康状态之间的偏好并不是相互独立的。这项研究提出了一种新的方法，旨在通过一次查看两个连续的健康状态来衡量对多个州健康概况的偏好。它假设对未来健康状态的评估取决于或“有条件地”取决于当前的健康状态。怀疑会影响未来健康状态的“条件偏好分数”的当前健康状态的特征包括当前健康状态的持续时间、变化的方向以及当前和未来健康状态之间的变化幅度。未来健康状况的三个不同水平的三个重复的完全析因设计(三个因素，每个水平两个水平)将被用来探索主效应和交互作用。此外，这项研究将测试所提出的评估多个州健康档案的“条件偏好分数”的技术，是否可以比无条件的健康状况评估更好地预测整个健康档案的偏好分数。持续时间加权的条件偏好得分和持续时间加权的无条件偏好得分将与直接得出的10个假设健康概况的整体得分进行比较，每个得分都由精心选择的四种健康状态的组合组成。所有任务都将采用两种启发式技术：视觉模拟标尺(VAS)和时间权衡(TTO)。能量分析显示，对于每种技术，70名受试者的样本量将至少给出80%的概率检测到小至0.05的效应量。受试者将从佐治亚理工学院的学生中招募。人体受试者已获得批准。