What really happens when research meets policy? Get the inside scoop at the 2019 CAHSPR Scientific Conference from May 29-31 in Halifax where healthcare leaders from Nova Scotia and across Canada talk openly about what they value in health services research and hear noted researchers explain how they make their findings helpful to decision makers.
Information on events hosted by the Network of Alberta Health Economists (NOAHE) as well as by national and international health economics organizations and associations.
Appraising the cost-effectiveness of cancer screening intervention relies heavily on simulation methods and does so in ways that differ from the assessment of pharmaceuticals. As a consequence, cost-effectiveness estimates of cancer screening interventions are highly contingent on the modelling choices made by analysts. While documentation of modelling best practice has improved, evidence from the published literature still demonstrates considerable variance in the quality of analyses. Fundamental errors in the choice of comparator strategies and the calculation of cost-effectiveness ratios are common. Other shortcomings of model methods are more subtle and have not been recognised within the screening CEA research community. Such shortcomings are striking given the sums spent annually on cancer screening and the potential health gains from well-optimised strategies.
Finite public resources coupled with an increasing demand for health care means that decisions must be made about how to most efficiently allocate the scarce health care budget. This requires information about costs and benefits of health care. Health economists have developed techniques that can provide values for health care benefits. A technique that is increasingly used for this purpose is the discrete choice experiment (DCE) method.
Please join us for a free 3-day intensive course, “Introduction to Applied Health Economic Modelling,” covers introductory applications of cost-effectiveness analysis for resource allocation decisions, sensitivity analysis, economic modelling for cost-effective analysis (Markov Models), and decision uncertainty (re: the cost of doing nothing).
The Alberta Health Economics Study Group (AHESG) aims to bring together Alberta based health economists for a day of lively discussion about current research and will provide an opportunity for networking. The objective of AHESG meetings is to promote a study group atmosphere despite large numbers. All papers are pre-circulated and discussed in 45 minute-long sessions using discussants rather than author presentations. This session will focus on the research of students and trainees and will be a great opportunity to get feedback on early draft papers. The AHESG welcomes people from all backgrounds with an interest in Health Economics.