Analyzing a Cost-Effectiveness Dataset: A Speech and Language Example for Clinicians

Cost-effectiveness analysis, the most common type of economic evaluation, estimates a new option's additional outcome in relation to its extra costs. This is crucial to study within the clinical setting because funding for new treatments and interventions is often linked to whether there is evidence showing they are a good use of resources. This article describes how to analyze a cost-effectiveness dataset using the framework of a net benefit regression. The process of creating estimates and characterizing uncertainty is demonstrated using a hypothetical dataset. The results are explained and illustrated using graphs commonly employed in cost-effectiveness analyses. We conclude with a call to action for researchers to do more person-level cost-effectiveness analysis to produce evidence of the value of new treatments and interventions. Researchers can utilize cost-effectiveness analysis to compare new and existing treatment mechanisms.

How Economic Decision Modeling Can Facilitate Health Equity

This article offers examples of how modeling can motivate health equity inquiry and research. This article also considers how equity fits into cost-effectiveness frameworks, how economic modeling can broaden the range of options for improving health equity, and how information other than results of cost-effectiveness analyses can inform health technology assessment.