Prioritisation process in Integrated Care Systems in England: can we get it right?
Management in Medicine
Monday 2 December 2024 18:45 to 20:15Speakers: |
Dr Apostolos Tsiachristas |
Location: |
Virtual Event |
About the speaker
Dr Apostolos Tsiachristas is a Research Fellow at Green Templeton College and an Associate Professor in Health Economics at the University of Oxford.
Apostolos has a joint post at the Department of Primary Care and the Department of Psychiatry to lead a programme of research that focuses mainly on the economic evaluation of new models of care and financial incentives in healthcare, particularly for people with mental health conditions and multi-morbidity.
He also leads the Oxford Mental Health Economics and Policy (OMHEP) group, holds honorary research position at the Office for Health Improvement and Disparities (UK GOV), and acts as a scientific consultant for the World Health Organization on topics related to health financing.
About the event
Over the last 20 years, the National Health Service (NHS) in England has introduced several policy reforms aiming at promoting integrated care, having as cornerstone the recent establishment of 42 Integrated Care Systems (ICSs). ICSs have similar features and functions with the Accountable Care Organisations in the US and have been tasked to increase efficiency while improving population health and decreasing health inequalities within highly constrained resources. However, this high responsibility is a great challenge as the ICSs lack experience in prioritization of health and social care services and have limited knowledge in generating and using evidence in investment (or even disinvestment) decisions.
The seminar aims to: a) provide an overview of these policy reforms with a particular focus on the implemented provider payments, b) present the elements of Value-Based Care and their relative importance as derived from Discrete-Choice Experiments, c) describe a Prioritisation Support System for ICSs that was developed using Multi-Criteria Decision Analysis, and d) demonstrate the application of this system in the context of mental health.
