Performance in the MRCP(UK) Examination 2003-4: analysis of pass rates of UK graduates in relation to self-declared ethnicity and gender

BMC Med. 2007 May 3:5:8. doi: 10.1186/1741-7015-5-8.


Background: Male students and students from ethnic minorities have been reported to under-perform in undergraduate medical examinations. We examined the effects of ethnicity and gender on pass rates in UK medical graduates sitting the Membership of the Royal Colleges of Physicians in the United Kingdom [MRCP(UK)] Examination in 2003-4.

Methods: Pass rates for each part of the examination were analysed for differences between graduate groupings based on self-declared ethnicity and gender.

Results: All candidates declared their gender, and 84-90% declared their ethnicity. In all three parts of the examination, white candidates performed better than other ethnic groups (P < 0.001). In the MRCP(UK) Part 1 and Part 2 Written Examinations, there was no significant difference in pass rate between male and female graduates, nor was there any interaction between gender and ethnicity. In the Part 2 Clinical Examination (Practical Assessment of Clinical Examination Skills, PACES), women performed better than did men (P < 0.001). Non-white men performed more poorly than expected, relative to white men or non-white women. Analysis of individual station marks showed significant interaction between candidate and examiner ethnicity for performance on communication skills (P = 0.011), but not on clinical skills (P = 0.176). Analysis of overall average marks showed no interaction between candidate gender and the number of assessments made by female examiners (P = 0.151).

Conclusion: The cause of these differences is most likely to be multifactorial, but cannot be readily explained in terms of previous educational experience or differential performance on particular parts of the examination. Potential examiner prejudice, significant only in the cases where there were two non-white examiners and the candidate was non-white, might indicate different cultural interpretations of the judgements being made.

Publication types

  • Comparative Study

MeSH terms

  • Education, Medical, Undergraduate / statistics & numerical data*
  • Educational Measurement / statistics & numerical data*
  • Ethnicity / statistics & numerical data
  • Female
  • Humans
  • Logistic Models
  • Male
  • Odds Ratio
  • Sex Distribution
  • Students, Medical / statistics & numerical data*
  • Task Performance and Analysis
  • United Kingdom