Rizzo J A, Pashko S, Friedkin R, Mullahy J, Sindelar J L
Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, Connecticut, USA.
Pharmacoeconomics. 1998 May;13(5 Pt 1):531-41. doi: 10.2165/00019053-199813050-00006.
Measures of health-related quality of life (HR-QOL) are becoming increasingly important in assessing the effects of chronic illness and healthcare interventions designed to treat them. Obtaining measures of HR-QOL for a nationally representative sample of individuals would enhance understanding of health status in the US, and promote further study of the economic causes and effects of health status. This study reports on our efforts to link a prominent HR-QOL scale, the Health Utilities Index Mark I (HUI), to the National Medical Expenditure Survey (NMES). Six distinct algorithms were constructed for linking the HUI to NMES. These alternative linkage algorithms yielded HUI measures that were highly intercorrelated (p = 93 to 99%). Multivariate regression analyses performed to predict variations in HR-QOL revealed that the HUI exhibited good predictive validity--the HUI demonstrated lower quality of life for a variety of chronic illnesses, and wealthier individuals and better educated individuals had a higher quality of life. In contrast to some previous HR-QOL research, the present analysis demonstrates that: (i) cancer is negatively and significantly related to quality of life; and (ii) smoking is negatively and significantly related to quality of life. Overall, the results suggest that the HUI linkages to NMES provide reliable and valid measures of quality of life. As such, items from the NMES can be grouped and linked in such a way as to obtain health state utility values. These values should be of use to those who wish to understand the global health of the US population for policy-making efforts.
健康相关生活质量(HR-QOL)指标在评估慢性病的影响以及旨在治疗慢性病的医疗干预措施方面正变得越来越重要。获取全国代表性个体样本的HR-QOL指标将增进对美国健康状况的了解,并促进对健康状况的经济成因及影响的进一步研究。本研究报告了我们将一个著名的HR-QOL量表——健康效用指数Mark I(HUI)与国家医疗支出调查(NMES)相联系的努力。构建了六种不同的算法用于将HUI与NMES相联系。这些替代的联系算法得出的HUI指标高度相关(p = 93%至99%)。为预测HR-QOL的变化而进行的多元回归分析表明,HUI具有良好的预测效度——对于多种慢性病,HUI显示出较低的生活质量,而较富裕和受教育程度较高的个体生活质量较高。与之前的一些HR-QOL研究不同,本分析表明:(i)癌症与生活质量呈负相关且具有显著相关性;(ii)吸烟与生活质量呈负相关且具有显著相关性。总体而言,结果表明HUI与NMES的联系提供了可靠且有效的生活质量指标。因此,NMES的项目可以以这样一种方式进行分组和联系,以获得健康状态效用值。这些值对于那些希望了解美国人口总体健康状况以进行政策制定工作的人应该是有用的。