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Cluster randomized trials in general (family) practice research.
1Institute of General Practice and Primary Care, University of Sheffield, UK. m.j.campbell@sheffield.ac.uk
Statistical Methods in Medical Research
|August 18, 2000
Summary
Cluster randomized trials are common in general practice. This paper discusses their design, analysis, and ethical considerations, highlighting challenges like sample size and varying cluster sizes for better research planning.
Area of Science:
- General Practice
- Family Medicine
- Health Services Research
Background:
- Cluster randomized trials are increasingly utilized in general practice settings.
- These trials share similarities and differences with those conducted in education, health promotion, and public health.
Purpose of the Study:
- To discuss the design and analysis of cluster randomized trials in general practice.
- To address key issues including intra-cluster correlation, sample size determination, and varying cluster sizes.
- To consider ethical aspects and the principle of intention to treat.
Main Methods:
- Review of design and analysis considerations for cluster randomized trials.
- Discussion on estimation and range of intra-cluster correlation coefficients in general practice.
- Exploration of challenges related to varying numbers of subjects per cluster.
- Consideration of ethical issues and the intention-to-treat principle.
Main Results:
- Identified challenges in sample size estimation due to intra-cluster correlation.
- Highlighted difficulties in planning and analysis arising from unequal cluster sizes.
- Provided an example of analysis for continuous outcomes.
- Summarized available software for trial analysis.
Conclusions:
- Effective design and analysis of cluster randomized trials in general practice require careful consideration of specific issues.
- Addressing intra-cluster correlation and cluster size variability is crucial for accurate sample size calculation and robust analysis.
- Ethical considerations and adherence to principles like intention to treat are vital for trial integrity.