Helen Curtis
BSc DPhil
Researcher
I am a postdoctoral researcher in the EBM DataLab team. I have been coordinating the development of OpenPathology.net from its inception in early 2019. I have also worked extensively on the OpenPrescribing project, developing new tools and carrying out research into prescribing patterns in a number of clinical areas.
I previously worked with many different secondary care and community datasets in a Commissioning Support Unit. I have a DPhil in Genetics from here at Oxford and a Natural Sciences (Cell Biology and Maths) degree from the University of Durham.
Key publications
-
Opioid prescribing trends and geographical variation in England, 1998–2018: a retrospective database study
Journal article
Curtis HJ. et al, (2019), The Lancet Psychiatry, 6, 140 - 150
-
OpenPrescribing: Normalised data and software tool to research trends in English NHS primary care prescribing 1998-2016
Journal article
Curtis HJ. and Goldacre B., (2018), BMJ Open, 8
-
Is use of homeopathy associated with poor prescribing in English primary care? A cross-sectional study
Journal article
Walker AJ. et al, (2018), Journal of the Royal Society of Medicine, 111, 167 - 174
-
Trends, geographical variation and factors associated with prescribing of gluten-free foods in English primary care: A cross-sectional study
Journal article
Walker AJ. et al, (2018), BMJ Open, 8
-
New mechanism to identify cost savings in English NHS prescribing: Minimising 'price per unit', a cross-sectional study
Journal article
Croker R. et al, (2018), BMJ Open, 8
Recent publications
-
First dose COVID-19 vaccine coverage amongst adolescents and children in England: an analysis of 3.21 million patients' primary care records in situ using OpenSAFELY
Journal article
Hopcroft LE. et al, (2023), Wellcome Open Research, 8, 70 - 70
-
Factors associated with COVID-19 vaccine uptake in people with kidney disease: an OpenSAFELY cohort study
Journal article
Parker EP. et al, (2023), BMJ open, 13
-
The impact of the COVID-19 pandemic on Antipsychotic Prescribing in individuals with autism, dementia, learning disability, serious mental illness or living in a care home: A federated analysis of 59 million patients’ primary care records in situ using OpenSAFELY
Preprint
Macdonald O. et al, (2023)
-
Identifying Patterns of Clinical Interest in Clinicians' Treatment Preferences: Hypothesis-free Data Science Approach to Prioritizing Prescribing Outliers for Clinical Review.
Journal article
MacKenna B. et al, (2022), JMIR Med Inform, 10
-
Recording of ’COVID-19 vaccine declined‘: a cohort study on 57.9 million National Health Service patients’ records in situ using OpenSAFELY, England, 8 December 2020 to 25 May 2021
Journal article
Curtis HJ. et al, (2022), Eurosurveillance, 27