Browse by author
Lookup NU author(s): Dr Nick Steen, Professor Jeremy Grimshaw, Professor Martin Eccles
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Background. Cluster randomized trials increasingly are being used in health services research and in primary care, yet the majority of these trials do not account appropriately for the clustering in their analysis. Objectives. We review the main implications of adopting a cluster randomized design in primary care and highlight the practical application of appropriate analytical techniques. Methods. The application of different analytical techniques is demonstrated through the use of empirical data from a primary care-based case study. Conclusion. Inappropriate analysis of cluster trials can lead to the presentation of inaccurate results and hence potentially misleading conclusions. We have demonstrated that adjustment for clustering can be applied to real-life data and we encourage more routine adoption of appropriate analytical techniques.
Author(s): Campbell MK, Mollison J, Steen N, Grimshaw JM, Eccles M
Publication type: Article
Publication status: Published
Journal: Family Practice
Year: 2000
Volume: 17
Issue: 2
Pages: 192-196
Print publication date: 01/04/2000
ISSN (print): 0263-2136
ISSN (electronic): 1460-2229
Publisher: Oxford University Press
URL: http://dx.doi.org/10.1093/fampra/17.2.192
DOI: 10.1093/fampra/17.2.192
PubMed id: 10758085
Altmetrics provided by Altmetric