Programmes aiming at prediction and prevention of insulin-dependent di
abetes mellitus (IDDM), a multifactorial autoimmune disease, have been
launched or are in the planning phase in several countries. We hypoth
esized that the costs of finding the correct target subjects for preve
ntive interventions are likely to vary markedly according to the predi
ction strategy chosen. Average direct costs accruing in the Finnish ID
DM Prediction and Prevention Project (DIPP) were analysed from the hea
lth care provider's viewpoint. The genetically targeted strategy inclu
ded costs of assessing genetic IDDM susceptibility followed by measure
ment of marker(s) of islet autoimmunity in the susceptibility restrict
ed population at 3 to 6-month intervals. In the pure immunological str
ategy markers of autoimmunity were repeatedly analysed in the entire p
opulation. The data were finally exposed to sensitivity analysis. The
genetically targeted prediction strategy is cost-saving in the first y
ear if autoimmune markers are analysed as frequently as under the DIPP
project, and in all circumstances later. The 10-year direct costs per
child are US$ 245 (present value $ 217, 5% discount rate) if the gene
tically targeted approach is used and $ 733 (present value $ 619) if t
he pure immunological strategy is chosen. In sensitivity analysis the
10-year costs (present value) per child of the genetically targeted st
rategy and of the pure immunological strategy varied from $ 152 to $ 2
41 and from $ 430 to $ 788, respectively. The genetically targeted IDD
M prediction strategy is remarkably cost-saving as compared with the p
ure immunological strategy mainly because fewer subjects will need ret
esting during the follow-up.