UKMED is a partnership between data providers across the education and health sectors with the aim of identifying trends in the medical education and medical training pathways in the UK.
The hold data on all UK medical students from 2007 including data from:
Data from the Higher Education Statistics Agency – HESA
- The medical schools attended, including whether the student successfully completed an undergraduate medical course
- Demographic data including ethnicity and measures of socio-economic status
- Data on the students’ entry qualifications (A-levels/Highers and equivalents)
Data from aptitude test providers used by medical schools in their selection processes
- UK Clinical Aptitude Test (UKCAT)
- Graduate Medical School Admissions Test (GAMSAT)
Data from applications to foundation training
- Situational Judgement Test scores
- Educational Performance Measures
Data on postgraduate markers of trainees’ progression
- Annual Review of Competence Progression (ARCP) outcomes from deaneries and Local Education Training Boards
- Outcome of applications to nationally recruited specialty training programmes
Fitness to practise data (held by GMC)
- Declarations of fitness to practise made on application for provisional registration with a licence to practise
- Fitness to practise data
UK National Recruitment Offices
(so yes they have a lot of information about you if you’re a medical student! However don’t worry it fully complies with data protection legislation – see their FAQs for medical students and medical trainees here )
For a full list of the information UKMED project holds see their data dictionary here
UKMED links up these databases to create a large scale long-term body of information in one database.
This allows a longitudinal analysis of outcomes for medical students and will be an indication of medical education in the UK. The applications of this database are very broad and includes analyses of selection tests in predicting future performance to how GCSE results, socioecominic background etc may affect an students progression through their career. It can also be used to predict how different factors may affect a progress and success within the existing training pathways. It will also be used to test the long term effects of the UKMLA in the future.
Follow this link for examples of the current research that is based on the UKMED project.
Are you a researcher? Are you interested in accessing the database, check for the when the next round of applications is here
Sign up for UKMED updates here
Want to learn more about the UKMLA – visit our blog
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