Abstract
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. © 2008 Elsevier Inc. All rights reserved.
Original language | English |
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Pages (from-to) | 160-e2 |
Journal | Journal of Clinical Epidemiology |
Volume | 61 |
Issue number | 2 |
DOIs | |
Publication status | Published - Feb 2008 |
Keywords
- Baseline imbalances
- Cluster randomized trials
- Depression
- Meta-analysis
- Selection bias
- Trial design