
Bethany Georgina Pritchard
- Email: psbgp@leeds.ac.uk
- Thesis title: Using Individualised Feedback to Manage Recall Rates in Mammography Screening
- Supervisors: Dr Jonathan Benn, Professor Robbie Foy
Profile
I received hands-on clinical experience during my time as a Cadet with the NHS, working in various settings including vascular access, renal, intensive care, stroke, cardiac physiology, and in the community. I am also the winner of the National Outstanding Child and Social Care Student of the Year 2016 awarded by Pearson after being shortlisted from 900 candidates – I was presented with my commendation in the House of Commons.
I completed my BSc in Biomedical Sciences specialising in Physiology / Pharmacology in 2020 in which I achieved first-class honours. My thesis investigated the differences between transdermal and oral delivery of Rivastigmine Tartrate in Alzheimer’s Disease. I was the President of the STEM Society in which the committee won the Bronze Students’ Union Award.
I then received my MSc in Cognitive Neuroscience and Human Neuroimaging in 2021. My thesis investigated the links between the morphology of brain structures and the 2D:4D ratio using voxel-based morphometry. Here, I was president of the Postgraduate Society and was responsible for maintaining a network between students throughout the university.
Currently, I am a Postgraduate Researcher in the School of Psychology, Faculty of Medicine and Health after being awarded a full time NIHR PhD scholarship from the National Institute for Health and Care Research in 2022. Additionally, I am a Y1 PGR Rep and Health and Safety Rep in Leeds Doctoral College. I am also a Education Outreach Fellow where I work with schools within and around the region to promote and inspire young people to enter higher education.
Research interests
For my PhD, I am researching how individualised feedback plays a role in managing recall rates in mammography screening. This approach involves providing specific and tailored feedback to individual radiologists based on their annual performance. This feedback could help staff implement strategies to improve their interpretive accuracy and reduce the number of statistical false positives or false negatives. Overall, it is hypothesised that individualised feedback will improve radiologist’s skillset in film reading, thus managing discrepant recall numbers and reflecting in patient outcomes in scenarios where people are being faced with the prospect of cancer.
Qualifications
- BSc Biomedical Sciences with Physiology / Pharmacology
- MSc Cognitive Neuroscience and Human Neuroimaging