Jon Massey
Data Scientist
Jon is a data scientist focusing on the OpenSAFELY research platform, with over a decade of experience of commercial and research data engineering. He has an interest in unlocking the value in routinely collected data whilst preserving the uncertainty of those data and the privacy of their subjects. His previous work includes machine vision, natural language processing, privacy-preserving record linkage and open data standards supporting animal welfare and antimicrobial resistance research. He holds and MSc in software engineering from the University of the West of England, a PhD in Applied Data Science from Bristol Veterinary School and is a Software Sustainability Institute 2020 Fellow.
Papers by Jon Massey
- Changes in opioid prescribing during the COVID-19 pandemic in England: cohort study of 20 million patients in OpenSAFELY-TPP
- OpenSAFELY: Measuring BMI in 22 million patients in England
- OpenSAFELY: a platform for analysing electronic health records designed for reproducible research
- Trends in inequalities in avoidable hospitalisations across the COVID-19 pandemic: a cohort study of 23.5 million people in England
- Consistency, completeness and external validity of ethnicity recording in NHS primary care records: a cohort study in 25 million patients’ records at source using OpenSAFELY
- Clinical and health inequality risk factors for non-COVID-related sepsis during the global COVID-19 pandemic: a national case-control and cohort study
- Antibiotics for Common Infections in Primary Care Before, During and after the COVID-19 Pandemic and Extent of Risk-Based Prescribing: Need for Personalised Guidelines
- The impact of the COVID-19 pandemic on the treatment of common infections in primary care and the change to antibiotic prescribing in England
- The impact of the COVID-19 pandemic on Antipsychotic Prescribing
- Impact of COVID-19 on recorded blood pressure screening and hypertension management in England: An analysis of monthly changes in Quality and Outcomes Framework indicators in OpenSAFELY
- Eleven key measures for monitoring general practice clinical activity during COVID-19: A retrospective cohort study using 48 million adults’ primary care records in England through OpenSAFELY
- Evaluation of the impact of COVID-19 pandemic on hospital admission related to common infections
- Repeated antibiotic exposure and risk of hospitalisation and death following COVID-19 infection (OpenSAFELY): a matched case–control study
- Changes in medication safety indicators in England throughout the covid-19 pandemic using OpenSAFELY: population based, retrospective cohort study of 57 million patients using federated analytics
- Impact of COVID-19 on broad-spectrum antibiotic prescribing for common infections in primary care in England: a time-series analyses using OpenSAFELY and effects of predictors including deprivation
- The impact of COVID-19 on antibiotic prescribing in primary care in England: Evaluation and risk prediction of appropriateness of type and repeat prescribing
- Data-Driven Identification of Unusual Prescribing Behavior: Analysis and Use of an Interactive Data Tool Using 6 Months of Primary Care Data From 6500 Practices in England