Postgraduate and Doctoral students affiliated with Edinburgh Health Economics
PhD Molecular and Clinical Medicine (ECRC), Usher Institute of Population Health Sciences and Informatics, MRC IGMM Edinburgh Cancer Research Centre.
Supervisors: David Cameron, Peter Hall, Andy Stoddart.
Dates of study: Oct 2017 – Oct 2020
Thesis Title: Data Intelligence for the evaluation of new treatments for breast cancer: Quest for a better method to estimate affordability in Scotland.
Summary of work: “I am aiming to develop a more sophisticated method for estimating the likely financial consequences and service-use implications for new cancer medicine adoption cases in the Scottish NHS setting. In this project, I am working in close collaboration with NHS Lothian Health Board, the Pharma Industry and Healthcare Improvement Scotland to improve the current budget impact analysis method by integrating automated workflows and make it purely real-world data-driven.”
PhD Medical Informatics, Usher Institute of Population Health Sciences and Informatics.
Supervisors: Dr Peter Hall and Dr Naz Lone
Dates of Study: Oct 2017 – Aug 2021
Thesis Title: Socioeconomic outcomes measurement in survivors of major illness
Summary of work: “Determining healthcare costs and other socioeconomic outcomes for survivors of cancer and other illnesses using data analysis and probabilistic modelling.”
PhD Population Health Sciences, Usher Institute of Population Health Sciences and Informatics.
Supervisors: Dr Nazir Lone, Dr Peter Hall and Professor Kev Dhaliwal
Dates of Study: Oct 2019 – Sep 2025
Thesis Title: Using existing patient data to augment a clinical trial of a novel diagnostic device.
Summary of work: To evaluate the feasibility and utility of using routinely collected data in care pathway and health economic analyses in the context of a clinical study of a novel diagnostic technique.
PhD Precision Medicine DTP, Usher Institute of Population Health Sciences and Informatics, MRC IGMM Edinburgh Cancer Research Centre.
Supervisors: Dr Andrew Sims, Dr Peter Hall, Prof Dave Robertson.
Engineering Doctorate based at the University of St Andrews in Partnership with NHS Lothian and the Edinburgh Cancer Centre Informatics Programme.
Project: Analyses and Management of Healthcare Data for Cancer Care in NHS Lothian.
Supervisors: Juliana Bowles (St Andrews), Peter Hall and Christina Lilley (Edinburgh)
The Innovative Healthcare Delivery Programme and The DataLab supports the funding for Agastya’s research.
PhD, Global Health, Usher Institute
Supervisors: Dr. Liz Grant, Dr. Marie Fallon, Dr. Peter Hall
Dates of study: Feb 2019- Feb 2022
Thesis title: The value of palliative care in low resource
Setting: An Ethiopian Perspective
Summary of work: To study the effect of initiation of palliative care on quality of life measures, out of pocket payments for medical care, and healthcare utilization.
Eleanor is Attending Physician and Assistant Professor in the Section of Global Health and International Emergency Medicine in the Department of Emergency Medicine at Yale University.
Katie is a Clinical Oncologist who completed her MRC funded PhD in 2019, investigating the cost-effectiveness of the palliative radiotherapy treatments delivered within the English NHS radiotherapy with the Academic Unit of Health Economics, University of Leeds, co-supervised from Edinburgh Health Economics.
Katie is interested in the value of treatments delivered within the NHS for cancer. Her research focuses on palliative radiotherapy treatments, how the use of these treatments varies across the English NHS and the value they offer very close to the end of life. Elements of this work include; assessing the costs of radiotherapy in the NHS in collaboration with the ESTRO-HERO project , determining the quality of life benefits provided by palliative radiotherapy for bone metastases in the context of differing survival time, how patients value these quality of life improvements and considering the cost-effectiveness of newer radiotherapy techniques available to deliver these treatments within the NHS