Kate Best
- Position: Senior Research Fellow
- Areas of expertise: Medical Statistics; Epidemiology; Routine data, Ageing and Frailty
- Email: K.E.Best@leeds.ac.uk
- Location: Level 10 Worsley Building
- Website: Googlescholar | ORCID
Profile
I am a Senior Research Fellow in the Academic Unit of Ageing and Stroke Research (AUASR), with a background in Medical Statistics and Epidemiology. I have particular expertise in the acquisition, management and analysis of large, linked routine health data sets derived from primary, secondary and social care.
Research interests
I am the methodological lead for a portfolio of quantitiative ageing-related related research, with a focus on frailty as a particularly problematic expression of later life multimorbidity, and medicines optimisation:
- NIHR Leeds Biomedical Research Centre, Musculoskeletal Theme. National Institute for Health Research. £600k (within Musculoskeletal theme). 12/2022 - 11/2027
- Development of methods to identify digitally excluded older people, and tailoring of interventions to meet their digital needs. The Dunhill Medical Trust. £412,253. 4/23-2/25
- Intersectionality in structured medication reviews. NIHR HS&DR. £1,016,222. 1/24-12/26
- Improving care for older people with frailty electronic Frailty index 2 development and validation. NIHR ARC-YH £9,000,000, 10/19-9/24
- Development of a learning system to optimise anticholinergic medication prescribing for older people living with frailty. Health Data Research UK (UKRI/NIHR/Wellcome). £1,200,000 (part of £3,400,000 HDRUK North award). 07/20 - 03/23
Qualifications
- PhD Epidemiology, Newcastle University
- MSc in Medical Statistics, University of Leicester, 2010
- BSc in Maths & Stats, University of York
Student education
Module lead for the “Capturing and Handling Data” module on the Postgraduate Programme in Health Research.
Research groups and institutes
- Academic Unit for Ageing and Stroke Research
- Leeds Institute of Health Sciences