Accounting for cluster randomization: a review of primary prevention trials, 1990 through 1993.
OBJECTIVE
This methodological review aims to determine the extent to which design and analysis aspects of cluster randomization have been appropriately dealt with in reports of primary prevention trials.


METHODS
All reports of primary prevention trials using cluster randomization that were published from 1990 to 1993 in the American Journal of Public Health and Preventive Medicine were identified. Each article was examined to determine whether cluster randomization was taken into account in the design and statistical analysis.


RESULTS
Of the 21 articles, only 4 (19%) included sample size calculations or discussions of power that allowed for clustering, while 12 (57%) took clustering into account in the statistical analysis.


CONCLUSIONS
Design and analysis issues associated with cluster randomization are not recognized widely enough. Reports of cluster randomized trials should include sample size calculations and statistical analyses that take clustering into account, estimates of design effects to help others planning trials, and a table showing the baseline distribution of important characteristics by intervention group, including the number of clusters and average cluster size for each group.
Simpson
J M
JM
Department of Public Health, University of Sydney, New South Wales, Australia.
Klar
N
N
Donnor
A
A
D015982:Bias; D016000:Cluster Analysis; D005500:Follow-Up Studies; D006801:Humans; D011322:Primary Prevention; D016032:Randomized Controlled Trials as Topic; D012107:Research Design