A guide to value of information methods for prioritising research in health impact modelling.

ABSTRACT: Health impact simulation models are used to predict how a proposed policy or scenario will affect population health outcomes. These models represent the typically-complex systems that describe how the scenarios affect exposures to risk factors for disease or injury (e.g. air pollution or physical inactivity), and how these risk factors are related to measures of population health (e.g. expected survival). These models are informed by multiple sources of data, and are subject to multiple sources of uncertainty. We want to describe which sources of uncertainty contribute most to uncertainty about the estimate or decision arising from the model. Furthermore, we want to decide where further research should be focused to obtain further data to reduce this uncertainty, and what form that researc

SUBMITTER: Jackson C 

PROVIDER: S-EPMC7612319 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature