Data analytics team
Sarah Deeny joined the Health Foundation in January 2015, and is Assistant Director of Data Analytics.
Sarah leads a team using novel analytics and linked data to gain insights into quality of care. The team examines different aspect of quality, including the organisation and delivery of health care, clinical effectiveness of care, and the impact of the patient’s wider social determinants and context on quality and outcomes.
Prior to joining the Health Foundation, Sarah was a mathematical modeller at Public Health England from 2010 to 2016. There her work focused on using mathematical models and data linkage to generate insights to inform national policy on antimicrobial resistance and healthcare associated infections.
Sarah has an MSc. in Epidemiology and a PhD in mathematical modelling from Imperial College London.
- Lloyd T, Deeny S, and Steventon A. Weekend admissions may be associated with poorer recording of long-term comorbidities: a prospective study of emergency admissions using administrative data, BMC Health Serv Res. 2018; 18: 863.
- Robotham, JV, Deeny, SR, Fuller, C, Hopkins, S, Cookson, B, and Stone, S. Cost-effectiveness of national mandatory screening of all admissions to English National Health Service hospitals for meticillin-resistant Staphylococcus aureus: a mathematical modelling study. Lancet Infect Dis. 2016 16:348 – 356
- Deeny, SR., Steventon A. Making sense of the shadows: priorities for creating a learning healthcare system based on routinely collected data. BMJ quality & safety 2015, 24:505-515
- Green N, Johnson AP, Henderson KL, Muller Pebody B, Thewall S, Robotham JV, Sharland M, Wolkewitz M, Deeny SR. Quantifying the Burden of Hospital-Acquired Bloodstream Infection in Children in England by Estimating Excess Length of Hospital Stay and Mortality Using a Multistate Analysis of Linked, Routinely Collected Data. Journal of the Paediatric Infectious Diseases Society 2015 4:305-312
- A full list of peer-reviewed publications and pre-prints can be accessed on Google Scholar.
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