The format of the HTAi Latin America Policy Forum echoes that of the HTAi Global Policy Forum and provides a unique opportunity as a leadership meeting for senior representatives from public and private sector organizations using HTA from the Latin America region.
Information on events hosted by the Network of Alberta Health Economists (NOAHE) as well as by national and international health economics organizations and associations.
Health budgets in Canada are under pressure due to increasing demand for care and the adoption of new, costly technologies. Since budgets are constrained, funding new technologies requires reallocation of resources away from existing services, with implications for the health of patients in need of these services. Policy makers use cost effectiveness (CE) analyses to understand the implications of these funding decisions. However, without a measure of “value for money”, CE analyses by themselves are unable to illustrate the overall impact of new technologies on population health. Appropriate CE thresholds would allow policy makers to use CE analyses to compare the health gains from new technologies to the health forgone due to the necessary resource reallocations.
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).