Log on / register
Feedback | Support | My details
Open AccessResearch article

A survey of statistics in three UK general practice journal

Alan S Rigby1 email, Gillian K Armstrong2 email, Michael J Campbell3 email and Nick Summerton4 email

1Academic Cardiology, University of Hull, Kingston-upon-Hull, UK

2NAPP Pharmaceuticals Research Limited, Cambridge, UK

3Medical Statistics Unit, University of Sheffield, Sheffield, UK

4Division of Primary Care & Psychological Medicine, University of Hull, Kingston-upon-Hull, UK

author email corresponding author email

BMC Medical Research Methodology 2004, 4:28doi:10.1186/1471-2288-4-28

Published: 13 December 2004

Abstract

Background

Many medical specialities have reviewed the statistical content of their journals. To our knowledge this has not been done in general practice. Given the main role of a general practitioner as a diagnostician we thought it would be of interest to see whether the statistical methods reported reflect the diagnostic process.

Methods

Hand search of three UK journals of general practice namely the British Medical Journal (general practice section), British Journal of General Practice and Family Practice over a one-year period (1 January to 31 December 2000).

Results

A wide variety of statistical techniques were used. The most common methods included t-tests and Chi-squared tests. There were few articles reporting likelihood ratios and other useful diagnostic methods. There was evidence that the journals with the more thorough statistical review process reported a more complex and wider variety of statistical techniques.

Conclusions

The BMJ had a wider range and greater diversity of statistical methods than the other two journals. However, in all three journals there was a dearth of papers reflecting the diagnostic process. Across all three journals there were relatively few papers describing randomised controlled trials thus recognising the difficulty of implementing this design in general practice.


© 1999-2008 BioMed Central Ltd unless otherwise stated