My research explores how we can use routinely collected health data to investigate comparative treatment effects where we lack randomised evidence. I focus on comparing:
(1) alternative antidiabetic treatments among people with type 2 diabetes, and
(2) alternative heart attack treatments among people with kidney disease.
I completed my PhD and MSc Epidemiology at the London School of Hygiene & Tropical Medicine, and my BSc in pharmacology and economics at McGill University in Montr茅al, Canada.
Prior to joining the LSHTM, I worked at McGill Global Health Programs and the Population Health Research Institute (PHRI) in Hamilton, Canada. I continue to collaborate with researchers at PHRI.
Affiliations
Department of Non-communicable Disease Epidemiology
Faculty of Epidemiology and Population Health
Teaching
I am a module organiser for the Analysis of Electronic Health Records module.
In addition, I teach on the following MSc modules and short courses:
- Extended Epidemiology
- Statistical Methods in Epidemiology
- Epidemiology in Practice
- Analysis of Electronic Health Records
- Professional Certificate in Pharmacoepidemiology & Pharmacovigilance
I supervise summer projects related to non-communicable disease management and treatment using electronic health records for the following master's courses:
- MSc Epidemiology
- MSc Medical Statistics
- MSc Health Data Science
I also co-lead and supervise for the Health Data Research (HDR)-UK Black Internship Programme at LSHTM, which aims to reduce the underrepresentation of Black people within the health data science sector.
In addition, I teach on the following MSc modules and short courses:
- Extended Epidemiology
- Statistical Methods in Epidemiology
- Epidemiology in Practice
- Analysis of Electronic Health Records
- Professional Certificate in Pharmacoepidemiology & Pharmacovigilance
I supervise summer projects related to non-communicable disease management and treatment using electronic health records for the following master's courses:
- MSc Epidemiology
- MSc Medical Statistics
- MSc Health Data Science
I also co-lead and supervise for the Health Data Research (HDR)-UK Black Internship Programme at LSHTM, which aims to reduce the underrepresentation of Black people within the health data science sector.
Research
I am currently involved with the following pharmacoepidemiology and health services projects:
- National Cardiac and Renal Audit Initiative (NACARAI)
- Personalised Medicine for Intensification of Treatment (PERMIT): the case for type 2 diabetes mellitus
- Organised Stroke Care Across Income Levels (OSCAIL)
Using routinely collected health care data, mainly from general practices and hospitals in the UK, my research
- Describes services and treatments for type 2 diabetes, cardiovascular disease, and kidney disease in the UK;
- Identifies disparities in the delivery of these health care services/treatments;
- Compares alternative treatment strategies for type 2 diabetes and cardiovascular disease where clinical equipoise persists.
I work with other epidemiologists, health economists, statisticians, clinicians, and patient representatives to apply advanced methodologies and analyses in this research to reduce the impact of biases in these observational data.
- National Cardiac and Renal Audit Initiative (NACARAI)
- Personalised Medicine for Intensification of Treatment (PERMIT): the case for type 2 diabetes mellitus
- Organised Stroke Care Across Income Levels (OSCAIL)
Using routinely collected health care data, mainly from general practices and hospitals in the UK, my research
- Describes services and treatments for type 2 diabetes, cardiovascular disease, and kidney disease in the UK;
- Identifies disparities in the delivery of these health care services/treatments;
- Compares alternative treatment strategies for type 2 diabetes and cardiovascular disease where clinical equipoise persists.
I work with other epidemiologists, health economists, statisticians, clinicians, and patient representatives to apply advanced methodologies and analyses in this research to reduce the impact of biases in these observational data.
Research Area
Electronic health records
Health inequalities
Health outcomes
Health services research
Pharmacovigilance
Implementation science
Disease and Health Conditions
Diabetes
Kidney disease
Mental health
Non-communicable diseases
Stroke
Cardiovascular diseases
Country
Canada
Denmark
India
Rwanda
South Africa
Uganda
United Kingdom
Region
European Union
North America
Sub-Saharan Africa (all income levels)
Selected Publications
2024
Health economics
2024
BMJ
2023
BMC nephrology
2023
EClinicalMedicine
2022
Diabetes, obesity & metabolism
2022
BMJ Open
2021
BMJ Open
2021
PLoS ONE
2021
European Heart Journal - Quality of Care and Clinical Outcomes
2021
The Lancet. Digital health
