Yep, although whittled down by program needs from 3 to 1.5 hours, Brian presented a truncated version of his workshop. Programe entry below…
(Research and Professional Development 10) Adding Cost Data to Make Your Research More Impactful (and Used): Cost-Effectiveness, Cost- Benefit, Cost-Utility Analyses for Psychological Treatments
Sunday, November 18, 201810:15 AM - 11:45 AMRoom: Madison B, Mezzanine Level
Brian T. Yates, Ph.D.
Measuring and analyzing costs of treatment and prevention programs – to clients as well as providers – can be the missing element that converts a good idea into research that is funded, published, and used. Evaluating the monetary outcomes (aka “benefits”) of programs, such as reduced client use of health services and increased client productivity and income, also can influence funders and policy-makers. You will finish this session being able to explain why including costs in clinical research is essential. You also will be able to explain key differences between cost, cost-effectiveness, cost-utility, and cost-benefit analyses. Examples from published studies of behavioral and cognitive-behavioral treatment and prevention programs are used throughout.
Learning Objectives:
- Explain essential differences between research reporting costs, cost-effectiveness, cost-utility, and cost-benefit.
- Measure costs and benefits (monetary outcomes) as experienced by multiple interest groups, including clients as well as providers.
- “Cost-out” provider and client time consumed by treatment activities, considering ethical issues in this additional data collection.
- Measure costs of treatment or prevention programs with multiple components, for which only some data on resource use is available.
- Communicate findings from cost-effectiveness, cost-utility, and cost-benefit analyses to lay as well as professional audiences using readily-understood graphs as well as detailed tables and statistical analyses.
- Anticipate, recognize, and avoid or recover from resistance to measuring and reporting costs as well as cost-effectiveness, cost-utility, and cost-benefit relationships.