Resource Allocation in Decision Support Frameworks
2018
Multi-criteria decision-making frameworks expand on typical decision analyses (cost-effectiveness and cost-benefit) by explicitly incorporating value tradeoffs from decision makers and summarizing the performance of investment options. This is done across all chosen dimensions of value, based on the weights provided by the decision makers, but comes at a cost. Currently there is no widely accepted method to suggest how to determine a budget constraint using multi-attribute models or to measure willingness to pay for incremental multi-attribute value improvements. The authors use the existing estimates of willingness to pay for QALYs, to create a cutoff for multi-criteria value measures. They expand the cost per QALYs in proportion to how much of the total measure is accounted for by the QALY component to account for extra value created by non-QALY attributes of each intervention.
Resource Allocation in Decision Support Frameworks
Source:
Phelps C, Madhavan G. Resource Allocation in Decision Support Frameworks. Cost Effectiveness and Resource Allocation 2018; 16 (Supp 1). https://doi.org/10.1186/s12962-018-0128-5