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Patrick Bidulka

BSc MSc

Research Fellow

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

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 alternative antidiabetic treatments among people with type 2 diabetes, as well as alternative heart attack treatments among people with kidney disease.

I completed an MSc in epidemiology at London School of Hygiene & Tropical Medicine, and a BSc in pharmacology and economics at McGill University in Montreal, Canada. Alongside my work, I am a PhD candidate.

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

Centres

Centre for Global Chronic Conditions
Centre for Statistical Methodology

Teaching

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

I am also a co-organiser and supervisor for the Health Data Research (HDR)-UK Black Internship Programme hosted at LSHTM, which aims to reduce the underrepresentation of Black people within the health data science sector.

Research

I am currently involved with several pharmacoepidemiology and health services projects:

My research uses routinely collected health care data, mainly from general practices and hospitals in the UK, to:
  • Describe services and treatments for type 2 diabetes, cardiovascular disease, and kidney disease in the UK;
  • Identify potential inequities in the delivery of these health care services/treatments;
  • Compare 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
Clinical databases
Health services research
Behaviour change
Electronic health records
Implementation research
Discipline
Pharmacoepidemiology
Epidemiology
Disease and Health Conditions
Chronic disease
Mental health
Neurological disease
Kidney disease
Non-communicable diseases
Stroke
Country
Canada
Denmark
United Kingdom
India
Rwanda
Sweden
Uganda
South Africa

Selected Publications

Ethnic and socioeconomic disparities in initiation of second-line antidiabetic treatment for people with type 2 diabetes in England: A cross-sectional study.
Bidulka P; Mathur R; Lugo-Palacios DG; O'Neill S; Basu A; Silverwood RJ; Charlton P; Briggs A; Smeeth L; Adler AI
2022
Diabetes, obesity & metabolism
Impact of chronic kidney disease on case ascertainment for hospitalised acute myocardial infarction: an English cohort study.
Bidulka P; Scott J; Taylor DM; Udayaraj U; Caskey F; Teece L; Sweeting M; Deanfield J; de Belder M; Denaxas S
2022
BMJ Open
Protocol for an observational cohort study investigating personalised medicine for intensification of treatment in people with type 2 diabetes mellitus: the PERMIT study.
Bidulka P; O'Neill S; Basu A; Wilkinson S; Silverwood RJ; Charlton P; Briggs A; Adler AI; Khunti K; Tomlinson LA
2021
BMJ Open
Adverse outcomes after partner bereavement in people with reduced kidney function: Parallel cohort studies in England and Denmark.
Bidulka P; Vestergaard SV; Hlupeni A; Kjærsgaard A; Wong AYS; Langan SM; Schmidt SAJ; Lyon S; Christiansen CF; Nitsch D
2021
PLoS ONE
Case-ascertainment of acute myocardial infarction hospitalizations in cancer patients: a cohort study using English linked electronic health data.
Coles B; Teece L; Weston C; de Belder MA; Oliver-Williams C; Welch CA; Rutherford MJ; Lambert PC; Bidulka P; Paley L
2021
European Heart Journal - Quality of Care and Clinical Outcomes
Indirect acute effects of the COVID-19 pandemic on physical and mental health in the UK: a population-based study.
Mansfield KE; Mathur R; Tazare J; Henderson AD; Mulick AR; Carreira H; Matthews AA; Bidulka P; Gayle A; Forbes H
2021
The Lancet. Digital health
Stopping renin-angiotensin system blockers after acute kidney injury and risk of adverse outcomes: parallel population-based cohort studies in English and Swedish routine care.
Bidulka P; Fu EL; Leyrat C; Kalogirou F; McAllister KSL; Kingdon EJ; Mansfield KE; Iwagami M; Smeeth L; Clase CM
2020
BMC Medicine
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