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首页> 外文期刊>Medical care >Relative disutilities of 47 risk factors and conditions assessed with seven preference-based health status measures in a national U.S. sample: toward consistency in cost-effectiveness analyses.
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Relative disutilities of 47 risk factors and conditions assessed with seven preference-based health status measures in a national U.S. sample: toward consistency in cost-effectiveness analyses.

机译：在美国全国样本中，通过七种基于偏爱的健康状况指标评估了47种风险因素和状况的相对无效性：实现了成本效益分析的一致性。

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BACKGROUND: Preference-based health measures yield summary scores that are compatible with cost-effectiveness analyses. There is limited comparative information, however, about how different measures weight health conditions in the U.S. population. METHODS: We examined data from 11,421 adults in the 2000 Medical Expenditure Panel Survey, a nationally representative sample of the U.S. general population, using information on sociodemographics (age, gender, race/ethnicity, income, and education), health status (EQ-5D, EQ-VAS, and SF-12), 4 risk factors (smoking, overweight, obesity, and lacking health insurance), and 43 conditions. From the EQ-5D, we derived summary scores using U.K. [EQ(UK)] and U.S. weights. From the SF-12 we derived SF-6D, and regression-predicted EQ-5D (U.S. and U.K. weights) and Health Utility Index scores. Each of the 7 preference measures was regressed on each of the 47 problems (risk factors and conditions) to determine the disutility associated with the problem, adjusting for socio-demographics. RESULTS: The adjusted disutilities averaged across the 47 problems for the 7 preference measures ranged from 0.059 for the SF-6D to 0.104 for the EQ(UK). Correlations between each of the measures of the adjusted disutilities ranged from 0.85-1.0. Standardization, using linear regression, attenuated between measure differences in disutilities. CONCLUSIONS: Absolute incremental cost-effectiveness analyses of a given problem would likely vary depending on the measure used, whereas the relative ordering of incremental cost-effectiveness analyses of a series of problems would likely be similar regardless of the measure chosen, as long as the same measure is used in each series of analyses. Absolute consistency across measures may be enhanced by standardization.
机译：背景：基于偏爱的健康措施得出的总得分与成本效益分析相符。但是，关于不同方法如何衡量美国人口健康状况的比较信息有限。方法：我们使用社会人口统计学（年龄，性别，种族/族裔，收入和教育程度），健康状况（EQ- 5D，EQ-VAS和SF-12），4个危险因素（吸烟，超重，肥胖和缺乏健康保险）和43种情况。从EQ-5D，我们使用英国[EQ（UK）]和美国权重得出了总分。我们从SF-12中得出SF-6D，并通过回归预测得出EQ-5D（美国和英国的体重）和健康效用指数得分。针对47个问题（风险因素和条件）中的每一个，对7种偏好措施中的每一项进行了回归，以确定与该问题相关的无用功，并针对社会人口统计学进行了调整。结果：7种优先措施的47个问题的平均调整后效用范围从SF-6D的0.059到EQ（UK）的0.104。调整后的效用的每个度量之间的相关性在0.85-1.0之间。使用线性回归的标准化减弱了效用的度量差异之间的差异。结论：给定问题的绝对增量成本效益分析可能会根据所使用的度量方法而有所不同，而一系列问题的增量成本效益分析的相对顺序可能与所选择的度量方法相似，而与所选择的度量方法无关。在每个系列的分析中使用相同的度量。标准化可以增强跨度量的绝对一致性。

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