Literature DB >> 18550331

Pseudo cluster randomization performed well when used in practice.

René J F Melis1, S Teerenstra, M G M Olde Rikkert, G F Borm.   

Abstract

OBJECTIVE: In the Dutch EASYcare Study, pseudo cluster randomization (PCR) randomized clinicians in two groups (H and L) with a high or a low proportion of the patients of the clinician randomized to intervention or to control arm accordingly. We used PCR because cluster randomization risked selection bias and individual randomization risked contamination. We evaluated the performance of PCR. STUDY DESIGN AND
SETTING: Clinicians were asked about treatment arm preferences, recruitment behavior, possible contaminating behavior, and what they thought the allocation ratio was. We compared patients' baseline characteristics and clinicians' recruitment rates.
RESULTS: The groups were comparable at baseline. Clinicians favored the intervention arm (Visual Analogue Scale 14.5 [SD 15.6]; 0-100; 0=strongly favoring intervention arm, 100=strongly favoring usual care arm) and 58% said they would have recruited fewer patients had every participant been allocated to the control group. Sixty five percent of clinicians used intervention elements in control patients. Sixty seven percent of clinicians estimated that a 50:50 allocation ratio was used.
CONCLUSION: The assumptions underlying PCR largely applied in this study. PCR performed satisfactorily without signs of unblinding or selection bias.

Entities:  

Mesh:

Year:  2008        PMID: 18550331     DOI: 10.1016/j.jclinepi.2007.12.001

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  5 in total

Review 1.  Review of Recent Methodological Developments in Group-Randomized Trials: Part 1-Design.

Authors:  Elizabeth L Turner; Fan Li; John A Gallis; Melanie Prague; David M Murray
Journal:  Am J Public Health       Date:  2017-04-20       Impact factor: 9.308

Review 2.  Balancing Contamination and Referral Bias in a Randomized Clinical Trial: An Application of Pseudo-Cluster Randomization.

Authors:  Brian W Pence; Bradley N Gaynes; Nathan M Thielman; Amy Heine; Michael J Mugavero; Elizabeth L Turner; Evelyn B Quinlivan
Journal:  Am J Epidemiol       Date:  2015-12-01       Impact factor: 4.897

3.  Consensus report of the coalition for clinical research-self-monitoring of blood glucose.

Authors:  David C Klonoff; Richard Bergenstal; Lawrence Blonde; Suzanne Austin Boren; Timothy S Church; Jenifer Gaffaney; Lois Jovanovic; David M Kendall; Craig Kollman; Boris P Kovatchev; Claudia Leippert; David R Owens; William H Polonsky; Gérard Reach; Eric Renard; Michael C Riddell; Richard R Rubin; Oliver Schnell; Linda M Siminiero; Robert A Vigersky; Darrell M Wilson; Alison Okada Wollitzer
Journal:  J Diabetes Sci Technol       Date:  2008-11

Review 4.  Stepped wedge cluster randomised trials: a review of the statistical methodology used and available.

Authors:  D Barker; P McElduff; C D'Este; M J Campbell
Journal:  BMC Med Res Methodol       Date:  2016-06-06       Impact factor: 4.615

5.  Applying quantitative bias analysis to estimate the plausible effects of selection bias in a cluster randomised controlled trial: secondary analysis of the Primary care Osteoarthritis Screening Trial (POST).

Authors:  L A Barnett; M Lewis; C D Mallen; G Peat
Journal:  Trials       Date:  2017-12-04       Impact factor: 2.279

  5 in total

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