Publication Summary
OBJECTIVES: To examine whether cluster randomized trials (1) produce baseline imbalances between intervention and control conditions; (2) give results that are substantially different individually randomized trials; and (3) give different results when adjusted for unit of analysis error. STUDY DESIGN AND SETTING: We used 14 cluster randomized trials and 20 individualized trials of the same intervention (collaborative care for depression). We conducted a random effects meta-analysis to examine imbalance in baseline depression scores. We used meta-regression to test for differential effect size and heterogeneity between clustered and individualized studies. Unit of analysis error was corrected using a range of plausible published intraclass correlation coefficients (ICCs). RESULTS: There were no baseline imbalances in either cluster randomized (P=0.837) or individually randomized (P=0.737) studies. Cluster randomized studies gave almost identical estimates of effect size when compared to individually randomized studies (standardized mean difference, SMDcluster=0.25, 95% confidence interval [CI]: 0.17, 0.33; SMDindividual=0.24; 95% CI: 0.13, 0.36). Adjustment for clustering had minimal effect on clinical and statistical significance (pooled SMDICC 0.02=0.249 [95% CI: 0.174, 0.325] to SMDICC 0.05=0.258 [95% CI: 0.172, 0.345]). CONCLUSION: The additional effort and expense involved in cluster randomized trials needs to be justified when individualized studies might produce robust and believable results.
CAER Authors
Prof. Simon Gilbody
University of York - Director of the Mental Health and Addictions Research Group