|Mike Campbell (UK)||email@example.com|
|In the UK doctors are required to undergo
Continuous Medical Education (CME) for which they earn 'points' and they
can do this by attending courses. They need to acquire a certain number
of points each year. Courses have to be approved by the local CME tutor
as being worth a certain number of points. I have been involved in three
courses which have been given CME approval. These were: Research Methods,
Research in Complementary Medicine, and Clinical Trials. Each of these contained
a statistical component, as part of an overall package. We have also given
courses on Cluster Randomised Trials and Design and Analysis of Studies
involving Quality of Life which did not qualify for CME approval, but which
were attended by some doctors
The general messages are:
1) Doctors going on CME approved courses are only interested in statistics as a tool for helping their research.
2) Design issues, such as how to randomise, are best approached through practical experiments.
3) In the main, statistical analysis should be lead by issues, e.g. why are data from cluster randomised trials different? Little technical detail should be attempted in a course, but examples from the literature and further reading indicated.
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