ABOUT THE SPEAKERS
Mr Mike Strauss is a Health Economist and Researcher at the Health Economics and HIV and AIDS Research Division (HEARD) at the University of KwaZulu-Natal in Durban, South Africa. He has been involved in a number of research projects examining the demand for health services using discrete choice experiments to better understand preferences of patients for a range of health services.
Professor Gavin George is a Programme Leader at the Health Economics and HIV and AIDS Research Division (HEARD) at the University of KwaZulu-Natal, Durban, South Africa. He has a background in economics and has carried out social and behavioural research across East and Southern Africa for over 20 years. This work has been undertaken for UN agencies, governments and funding entities, among others.
ABOUT THE WEBINAR
South Africa has the highest TB incidence (567/100,000 population) in the world, and recent analyses of the South African TB care cascade suggests that only 53% of TB patients successfully complete treatment. TB treatment is very effective, but only if patients are identified, initiate and complete their treatment. The HIV and TB literature has shown the benefits of providing tailored, targeted and differentiated support for treatment with the aim of improving health outcomes. Understanding preference structures is key to developing suitable differentiated/tailored treatment and support service delivery models. In this seminar, we present the results of a recent discrete choice experiment which explores the preference structures of TB patients to gain a better understanding of how service delivery models for medication delivery and adherence support should be designed to better address the needs of patients. The results suggest pathways towards better models of differentiated care, and highlight some of the key characteristics of participants who prefer clinic or community-based services.
ZOOM INVITATION INFORMATION
Date: 7th of March 2023
Zoom Link: https://ukzn.zoom.us/j/95517736405?pwd=SFRTcVFmeVZtVDhsTlo0UkNCUjdrZz09
Meeting ID: 955 1773 6405