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BMJ 2008;336:876-880 (19 April), doi:10.1136/bmj.39517.495764.25 (published 25 March 2008)
Sandra Eldridge, professor of biostatistics1, Deborah Ashby, professor of medical statistics2, Catherine Bennett, statistician1, Melanie Wakelin, lecturer in medical statistics1, Gene Feder, professor of primary care research and development1
1 Centre for Health Sciences, Barts and The London School of Medicine and Dentistry, London E1 2AT, 2 Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine and Dentistry, London EC1M 6BQ
Correspondence to: S Eldridge s.eldridge{at}qmul.ac.uk
Design Review of 34 cluster randomised trials in primary care published in 2004 and 2005 in seven journals (British Medical Journal, British Journal of General Practice, Family Practice, Preventive Medicine, Annals of Internal Medicine, Journal of General Internal Medicine, Pediatrics).
Data sources National Library of Medicine (Medline) via PubMed.
Data extraction To assess aspects of internal validity we extracted data on appropriateness of sample size calculations and analyses, methods of identifying and recruiting individual participants, and blinding. To explore reporting of information useful in assessing external validity we extracted data on cluster eligibility, cluster inclusion and retention, cluster generalisability, and the feasibility and acceptability of the intervention to health providers in clusters.
Results 21 (62%) trials accounted for clustering in sample size calculations and 30 (88%) in the analysis; about a quarter were potentially biased because of procedures surrounding recruitment and identification of patients; individual participants were blind to allocation status in 19 (56%) and outcome assessors were blind in 15 (44%). In almost half the reports, information relating to generalisability of clusters was poorly reported, and in two fifths there was no information about the feasibility and acceptability of the intervention.
Conclusions Cluster randomised trials are essential for evaluating certain types of interventions. Issues affecting their internal validity, such as appropriate sample size calculations and analysis, have been widely disseminated and are now better addressed by researchers. Blinding of those identifying and recruiting patients to allocation status is recommended but is not always carried out. There may be fewer barriers to internal validity in trials in which individual participants are not recruited. External validity seems poorly addressed in many trials, yet is arguably as important as internal validity in judging quality as a basis for healthcare intervention.
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