Measures of health-related quality of life (HR-QOL) are becoming incre
asingly important in assessing the effects of chronic illness and heal
thcare interventions designed to treat them. Obtaining measures of HR-
QOL for a nationally representative sample of individuals would enhanc
e understanding of health status in the US, and promote further study
of the economic causes and effects of health status. This study report
s on our efforts to link a prominent HR-QOL scale, the Health Utilitie
s Index Mark I (HUI), to the National Medical Expenditure Survey (NMES
). Six distinct algorithms were constructed for linking the HUI to NME
S. These alternative linkage algorithms yielded HUI measures that were
highly intercorrelated (p = 93 to 99%). Multivariate regression analy
ses performed to predict variations in HR-QOL revealed that the HUI ex
hibited 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 contr
ast to some previous HR-QOL research, the present analysis demonstrate
s that: (i) cancer is negatively and significantly related to quality
of life; and (ii) smoking is negatively and significantly related to q
uality 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 obta
in health state utility values. These values should be of use to those
who wish to understand the global health of the US population for pol
icy-making efforts.