title: Allocation techniques for balance at baseline in cluster randomized trials: a methodological review.
abstract: Reviews have repeatedly noted important methodological issues in the conduct and reporting of cluster randomized controlled trials (C-RCTs). These reviews usually focus on whether the intracluster correlation was explicitly considered in the design and analysis of the C-RCT. However, another important aspect requiring special attention in C-RCTs is the risk for imbalance of covariates at baseline. Imbalance of important covariates at baseline decreases statistical power and precision of the results. Imbalance also reduces face validity and credibility of the trial results. The risk of imbalance is elevated in C-RCTs compared to trials randomizing individuals because of the difficulties in recruiting clusters and the nested nature of correlated patient-level data. A variety of restricted randomization methods have been proposed as way to minimize risk of imbalance. However, there is little guidance regarding how to best restrict randomization for any given C-RCT. The advantages and limitations of different allocation techniques, including stratification, matching, minimization, and covariate-constrained randomization are reviewed as they pertain to C-RCTs to provide investigators with guidance for choosing the best allocation technique for their trial.
authors.affiliation: Family Practice Health Centre, Women's College Hospital, 76 Grenville Street, Toronto, ON, M5S1B2, Canada. noah.ivers@utoronto.ca
authors.forename: Noah M
authors.initials: NM
authors.lastname: Ivers
authors.forename: Ilana J
authors.initials: IJ
authors.lastname: Halperin
authors.forename: Jan
authors.initials: J
authors.lastname: Barnsley
authors.forename: Jeremy M
authors.initials: JM
authors.lastname: Grimshaw
authors.forename: Baiju R
authors.initials: BR
authors.lastname: Shah
authors.forename: Karen
authors.initials: K
authors.lastname: Tu
authors.forename: Ross
authors.initials: R
authors.lastname: Upshur
authors.forename: Merrick
authors.initials: M
authors.lastname: Zwarenstein
mesh_terms: D016000:Cluster Analysis; D003625:Data Collection / Q000379:methods*; D003627:Data Interpretation, Statistical; D006801:Humans; D016032:Randomized Controlled Trials as Topic / Q000379:methods*; D012107:Research Design