Working on new applications: Use of economic evaluation in burden of disease estimates

Le résumé fourni par la source

Abstract Burden of disease (BoD) analyses provide policy-makers with useful evidence to prioritise policy responses to major public health threats. Increasingly, however, epidemiological data alone is not considered as sufficient to inform decisions, particularly when funding is allocated within a single government approach and different sectors compete for a larger share of the overall budget. Similarly, other funders, such as charities and foundations, may want to prioritise budget allocation between health and non-health objectives. In all these cases, traditional BoD analyses need to be complemented by economic evaluations. In its simplest form, the economic component may mean adding an assessment of the healthcare costs caused by the diseases in the study. A more comprehensive, though still with limitations, approach is to use monetary values to measure the extent to which individuals are willing to exchange their income - which can be spent on other things - for the health outcomes they experience. Finally, in its most advanced and comprehensive form, analyses can include assessments of a number of relevant dimensions, such as those in the OECD’s Better Life Index. The latter approach is also consistent with, and its results support the implementation of, a health in all policies approach. This presentation will look at traditional and innovative approaches that can be used to add an economic dimension to BoD analyses. After introducing the rationale and key methodological issues of each approach, the presentation will discuss the advantages and disadvantages of each methodology and will identify areas where their use can be beneficial in guiding the decision-making process. Examples of the use of these methodologies in real-world analyses will also be presented to support the theoretical part of the discussion.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.