Objectives: (i) To analyse how well Pharmaceutical Benefits Scheme (PBS) cr
iteria for prescribing lipid-lowering therapy identify people most at risk
of coronary heart disease (CHD); and (ii) to determine the cost-effectivene
ss of primary prevention therapy with pravastatin according to these criter
ia in Australia.
Design: (i) Analysis of targeting of CHD risk according to PBS criteria; (i
i) cost-effectiveness analysis for pravastatin as primary preventive therap
y (40 mg/day), with a 20-year projection from 1999.
Participants: (i) Men and women aged 25-69 years from the 1989 National Hea
rt Foundation Risk Factor Prevalence Survey; (ii) Australian men and women,
aged 25-85 years, excluding those with diabetes and existing CHD.
Main outcome measures: (i) Proportion eligible for lipid lowering treatment
according to PBS criteria within 15-year risk of CHD mortality groups; (ii
) average net cost in Australian dollars ($) per year of life saved (YOLS),
with 80% uncertainty ranges (UR).
Results: (i) PBS criteria do not adequately identify those most at risk of
CHD as only 61% of Australians (aged 25-69 years) with a greater than 10% 1
5-year risk of CHD mortality were eligible for treatment; and 11% of those
at low risk of CHD mortality (<2.5% over 15 years) were eligible for treatm
ent. (ii) Cost-effectiveness of treatment according to PBS criteria was est
imated at $110 000 (80% UR, $96 000-$150 000) per YOLS for men and $87 000
(80% UR, $80 000-$130 000) per YOLS for women. As an indicator of the likel
y recurrent annual costs, total first-year treatment costs (excluding the c
osts of non-compliers) were estimated at $940 million. Assuming compliance
of 50%, cost-effectiveness of treatment was markedly improved using <greate
r than or equal to>2.5% 15-year risk of CHD mortality as a cut-off, with ra
tios of $31 000 (80% UR, $27 000-$40 000) per YOLS for men and $39 000 (80%
UR, $33 000-$53 000) per YOLS for women. First-year treatment costs of $94
0 million were the same as treating according to PBS criteria, but absolute
health impact in terms of deaths averted and years of life saved was more
than doubled.
Conclusions: While PBS criteria do target patients at risk of CHD, there is
room for improvement in identifying those most at risk of CHD, and treatme
nt according to PBS criteria is not likely to be the most cost-effective. F
or optimal cost-effectiveness, targeting of therapy for primary CHD prevent
ion needs to be based on population-specific, multivariable risk.