In comparing or assessing methods of treatment it is vital that the appropriate number of patients is selected in order to ensure that the conclusions drawn are statistically viable. This annotation describes the relevance of a statistical power analysis in the context of hypothesis testing to the determination of the optimal sample size of a study. The power of the test indicates how likely it is that the test will correctly produce a statistically significant result.

The aim of this study was to determine whether the foundation programme for junior doctors, implemented across the United Kingdom in 2005, provides adequate training in musculoskeletal medicine. We recruited 112 doctors on completion of their foundation programme and assessed them using the Freedman and Bernstein musculoskeletal examination tool. Only 8.9% passed the assessment. Those with exposure to orthopaedics, with a career interest in orthopaedics, and who felt that they had gained adequate exposure to musculoskeletal medicine obtained significantly higher scores. Those interested in general practice as a career obtained significantly lower scores. Only 15% had any exposure to orthopaedics during the foundation programme and only 13% felt they had adequate exposure to musculoskeletal medicine. The foundation programme currently provides inadequate training in musculoskeletal medicine. The quality and quantity of exposure to musculoskeletal medicine during the foundation programme must be improved.