Limited resources in public health make it difficult to determine if a potentially effective program is worth the cost of implementation. Economic evaluations, such as cost-effectiveness analyses (CEA), provide a tool to compare alternative programs. CEAs weigh costs and outcomes to determine the value of these program options . In public health, economic evaluations can be used to justify the existence of a program, the scale-up of a program or the implementation of a new program. In part one of a two-part webinar, we will discuss the principles and methodology of economic evaluations. Following the webinar, participants will be able to:
• identify the main types of economic evaluations
• understand how monetary and health outcomes are measured
• learn elements of a decision model, namely of Markov models
• interpret CEA results including incremental cost-effectiveness ratios and common sensitivity analyses
In part two we will apply the concepts of health economics from part one to critically appraise a journal article. To learn more about part two, please visit the event link
Man Wah is an epidemiologist with Public Health Ontario. Her portfolio focuses on health economics of infectious diseases. She holds a master of science from McGill University and has previously worked for a Canadian health technology assessment agency.
Allison Meserve is a health promotion consultant focusing on program planning and evaluation in the Health Promotion Capacity Building team at PHO. Allison holds a Masters of Public Health from Columbia University, and has worked in various public health roles over the past fifteen years, including program manager of a social marketing program targeting youth and internal evaluator for a large community based organization.
We recommend participants who are new to health economics, but have a basic understanding of the principles of epidemiology. This seminar will be helpful for learning to read and critique economic evaluations rather than for conceptualizing or operationalizing one's own decision model. Participants may include:
• Program evaluators
• Health Promoters
• Data analysts
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