Protocol for the SELECT study: a sequential mixed methods study of the selection of UK medical students into clinical academic training

Background: Internationally, there has been a move towards fostering diverse healthcare workforces that are representative of the patient populations they serve. Selection criteria for academic-clinicians often aim to capture skills and attributes that demonstrate both clinical and academic excellence. Currently, it is not known whether the selection criteria for early academic-clinical careers advantage or disadvantage certain ethnic or socioeconomic groups. The UK has a structured route of integrated clinical academic training with entry level training for newly qualified doctors administered through the ‘Specialised Foundation Programme’ which provides protected time for research within the first two years of postgraduate clinical training. In this study, we aim to identify what selection criteria are used within the UK Specialised Foundation Programme, and how these relate to demographic factors. Methods: We will perform a mixed methods study consisting of a document analysis of person specifications and selection criteria used in the 2024 UK Specialised Foundation Programme, and a national cross-sectional survey of current medical students in the UK. We will obtain the person specifications, selection criteria, white space (open ended questions used during shortlisting) and interview questions and mark schemes from each Specialised Unit of Applications via information available on their websites or through Freedom of Information requests. Our survey will collect information relating to demographic data, selection criteria, and perceptions of specialised foundation programme selection. Discussion: International literature has demonstrated inequity in academic markers used in selection of post-graduate clinicians and that disadvantages caused by selection can compound over time. As such it is important to understand what inequity exists within the selection of early academic-clinicians, as this can help inform more equitable selection practices and help nurture a more diverse academic-clinical workforce.