Distributional Cost-Effectiveness Analysis of Health Technologies: Data Requirements and Challenges

Aurelie Meunier, Louise Longworth, Stacey Kowal, Sreeram Ramagopalan, James Love-Koh, Susan Griffin

Research output: Contribution to journalArticlepeer-review

Abstract

Governments and health technology assessment agencies are putting greater focus on and efforts in understanding and addressing health inequities. Cost-effectiveness analyses are used to evaluate the costs and health gains of different interventions to inform the decision-making process on funding of new treatments. Distributional cost-effectiveness analysis (DCEA) is an extension of cost-effectiveness analysis that quantifies the equity impact of funding new treatments. Key challenges for the routine and consistent implementation of DCEA are the lack of clearly defined equity concerns from decision makers and endorsed measures to define equity subgroups and the availability of evidence that allows analysis of differences in data inputs associated with the equity characteristics of interest. In this article, we detail the data gaps and challenges to build robust DCEA analysis routinely in health technology assessment and suggest actions to overcome these hurdles.

Original languageEnglish
JournalValue in Health
DOIs
Publication statusAccepted/In press - 14 Jun 2022

Bibliographical note

Copyright © 2022 International Society for Pharmacoeconomics and Outcomes Research, Inc. Published by Elsevier Inc. All rights reserved.

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