Nationally Representative Quality-of-Life Weights

描述(由申请人提供)：目前，没有关于具有全国代表性的美国人口样本的与健康相关的生活质量(HRQOL)的信息。医疗支出小组调查(MEPS)是第一次包含这样一个问题的调查，该问题将允许计算近23,000名美国人的全国代表性样本的HRQOL权重。我们建议使用2002年11月发布的MEPS HC-039 2000全年人口特征中的视觉模拟尺度(VAS)问题和EuroQol权重的时间权衡导出值来根据人口特征和健康状况来估计美国人口的代表性HRQOL权重。根据人口统计特征提供HRQOL权重将使成本效用分析人员能够更准确地计算质量调整寿命年(QALY)的变化，因为现在可以获得具有全国代表性的美国基线信息。为标准的自我报告健康状况问题(“你认为你今天的健康状况总体上是：(A)优秀，(B)非常好，(C)良好，(D)一般，(F)差”)提供HRQOL权重将增加大型人口调查(CPS、SIPP、健康和退休调查等)的有用性。询问自我报告的健康状况问题，但没有获得有关HRQOL的信息。如果研究人员使用这些调查中的任何一项来调查某些政策变化，具有代表性的HRQOL权重的可用性将使他/她不仅可以计算死亡率影响，而且可以以一种结合的方式计算发病率影响，从而得出政策变化的质量影响。这些重量还会有许多其他用途。例如，如果这些信息被定期收集和提供，它可能被用来描述美国人口的健康如何随着时间的推移而变化。

DESCRIPTION (provided by applicant): Currently, no information exists on the health-related quality of life (HRQOL) of a nationally representative sample of the US population. The Medical Expenditure Panel Survey (MEPS) is the first survey to contain a question that would allow for the calculation of HRQOL weights for a nationally representative sample of almost 23,000 Americans. We propose to use the visual analogue scale (VAS) question from the MEPS HC- 039 2000 Full Year Population Characteristics, released November, 2002, and a time trade-off derived tariff of weights for the EuroQol to estimate representative HRQOL weights for the US population by demographic characteristic and by health status. Providing HRQOL weights by demographic characteristic will enable cost-utility analysts more accurately to calculate quality adjusted life year (QALY) changes because nationally representative US baseline information would now be available. Providing HRQOL weights for the standard self-reported health status question ("Would you say that your health today in general is: (A) excellent, (B) very good, (C) good, (D) fair, (F) poor") would increase the usefulness of the large, population surveys (the CPS, SIPP, Health and Retirement Survey, etc.) that ask a self-reported health-status question, but obtain no information of HRQOL. If a researcher were investigating some policy change using any of these surveys, the availability of representative HRQOL weights would allow him/ her to calculate not only the mortality implications, but also the morbidity implications in a way that could be combined to arrive at the QALY implications of the policy change. There would be a number of other uses for these weights. For example, if this information were collected and presented periodically, it maybe used to characterize how the health of the US population was changing over time.