Cardiovascular Diseases Clinical Trial
To determine the cost-effectiveness of alternative strategies for cholesterol reduction.
BACKGROUND:
The availability of effective treatment for hypercholesterolemia raised the hope that
millions of Americans could avoid or postpone the development of heart disease. Because the
interventions were potentially effective but were also costly, the cost-effectiveness of
alternative approaches to detecting and treating hypercholesterolemia had become a critical
issue for health policy.
The study was part of a three-grant initiative, Cost-Effective Strategies of
Cholesterol-Lowering, which was recommended by the Arteriosclerosis, Hypertension, and Lipid
Metabolism Advisory Committee in January, 1988 and given concept clearance at the September,
1988 National Heart, Lung, and Blood Advisory Council. The Request for Applications was
released in March, 1990 and awards made in April, 1991.
DESIGN NARRATIVE:
Assessments were made of: effects of treatment on health outcomes (symptomatic coronary
heart disease, death from coronary heart disease, and mortality from all causes); costs and
effectiveness of specific dietary and pharmacological interventions; effects of delays in
instituting treatment; effects of changing the interval between blood cholesterol tests on
the probability and duration of treatment delay; cost and health consequences of modifying
screening and treatment recommendations for other risk factors, age, and gender; population
implications of screening and treatment strategies. Data from the Framingham Heart Study
were used to estimate the time pattern of cholesterol levels, which was fundamental to the
evaluation of changing the interval between cholesterol tests. Framingham data were also
used to estimate the relation of event rates to blood cholesterol levels. Several components
of the analysis were validated by testing model predictions against data from the Multiple
Risk Factor Intervention Trial. The cost estimates were based on several additional sources.
Individual-level cost-effectiveness estimates for several different interventions were
presented along with population-level projections of the consequences of alternative
strategies. The significance of altering assumptions about uncertain values, such as the
long-term risks and benefits of specific medications, was tested in sensitivity analyses.
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