Hannah Knight Prinicipal Data Analyst

Data analytics team

Hannah Knight

Hannah joined the Health Foundation in June 2019 as Principal Data Analyst.

Hannah is developing a programme of work that aims to use data analytics to understand quality of care within clinical pathways and produce insights to improve care and inform policy making.

Hannah’s background is in health services research and epidemiology. Her main research interests are performance measurement; large-scale programme and service evaluations; and the use of linked administrative and clinical databases to assess patterns and determinants of care. Most of her academic work to date has been focussed on women and children’s health, in both low- and high-income settings. Most recently, she led the National Maternity and Perinatal Audit to evaluate maternity services across England, Wales and Scotland.

Following a degree in human sciences and MSc in obstetrics and gynaecology at the University of Oxford, Hannah completed a PhD in health services research at the London School of Hygiene and Tropical Medicine.

Knight HE, Oddie SJ, Harron KL, Aughey HK, van der Meulen JH, Gurol-Urganci I, Cromwell DA. Establishing a composite neonatal adverse outcome indicator using English hospital administrative data. Arch Dis Child Fetal Neonatal Ed 2018. doi: 10.1136/archdischild-2018-315147.

Hirst JE, Knight HE, Ohuma EO, Dwyer T, Hennig BD, Papageorghiou AT, Cheikh Ismail L, Villar J, Kennedy SH. Social gradient of birthweight in England assessed using the INTERGROWTH-21st gestational age-specific standard. Arch Dis Child Fetal Neonatal Ed 2018. doi: 10.1136/archdischild-2018-315295.

Geary RS, Knight HE, Carroll FE, Gurol-Urganci I, Morris E, Cromwell DA, van der Meulen JH. A step-wise approach to developing indicators to compare the performance of maternity units using hospital administrative data. BJOG. 2018;125(7):857-865.

Harron KL, Doidge JC, Knight HE, Gilbert RE, Goldstein H, Cromwell DA, van der Meulen JH. A guide to evaluating linkage quality for the analysis of linked data. Int J Epidemiol 2017 46(5):1699-1710. 

Knight HE,Cromwell DA, Gurol-Urganci I, Harron K, van der Meulen JH,Smith GCS. Perinatal mortality associated with induction of labour versus expectant management in nulliparous women aged 35 years or over: an English national cohort study. PLOS Medicine 2017; 14(11): e1002425.

Knight HE, van der Meulen JH, Gurol-Urganci I, Smith GC, Kiran A, Thornton S, Richmond D, Cameron A, Cromwell DA. Birth "out-of-hours": an evaluation of obstetric practice and outcome according to the presence of senior obstetricians on the labour ward. PLOS Medicine 2016;13(4):e1002000.

Knight HE, Gurol-Urganci I, Mahmood T. Audit in Medical Research. In O'Brien S and Fiona Broughton-Pipkin F (eds) Introduction to research methodology for specialists and trainees. Cambridge University Press 2014.

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An unlikely data pioneer: four lessons for today’s data analysts from Florence Nightingale

Hannah Knight explores Florence Nightingale’s work as a data pioneer and encourages recognition of...

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