Many of the difficulties encountered in the design, organization and analys
is of cluster randomized trials arise from the dual nature of such trials;
that is, they focus on both the cluster and the individual. A trial now in
progress to compare three methods of promoting secondary prevention of coro
nary heart disease in primary care includes only 21 general practices, but
2142 patients, and thus contains the problems of both small and large sampl
es. With only seven practices in each arm, the trial demanded carefully res
tricted randomization, may be difficult to analyse, and risks loss of power
if one practice should drop out. At the same time, the large number of pat
ients makes for an expensive and administratively complex study. The simult
aneous demands of clarity and thoroughness point to an analysis at both clu
ster and individual level. With two different approaches, however, there ma
y be difficulties of presentation, even if the results agree, and additiona
l problems of interpretation if they do not. Finally, practical considerati
ons may conflict with theoretical demands. Since the trial contained a serv
ice element, all patients with heart disease had to be included, even thoug
h it would have been more efficient to take only a sample of patients from
some practices. Copyright (C) 2001 John Wiley & Sons, Ltd.