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Bergen Centre for Ethics and Priority Setting (BCEPS)

FairChoices DCP Analytics Tool

The FairChoices DCP Analytics Tools team is led by Kjell Arne Johansson and Øystein Haaland at the University of Bergen.

Visualisation Tool
Photo:
Colourbox

Main content

The aim of the FairChoices DCP Analytics Tool team is to develop a user-friendly app that can be tailored to national priority setting processes and make evidence on cost-effectiveness, equity impact and financial risk protection (FRP) more easily available to policy makers who have little technical background in these methods.

Project Trampoline

In collaboration with Disease Control Priorities 3 (DCP3) and others, the involved researchers have developed models using evidence from standard epidemiologic and health economic evaluations for user-friendly visualisations of impact on health, equity, and financial risk protection. The BCEPS FairChoices DCP Analytics Tool team will develop a more user-friendly prototype of the tool, aiming to tailor it to national priority setting processes and make evidence on cost-effectiveness, equity impact and financial risk protection (FRP) more easily available to policy makers who may have little technical background in these methods. The challenge is to make evidence from hundreds of interventions available in an understandable and meaningful way. Excel sheets with multiple links, several sheets and long rows with input and interventions can be inaccessible to many decision makers. The evidence is too important to be missed out and the data visualisation team aims to make this evidence available for real world priority setting. Initial users of the tools will be trained stakeholders in the three countries that are involved in defining priority packages in each country.

Objectives for the FairChoices DCP Analytics Tool

As a policy tool

• assist policy makers in countries (Zanzibar and beyond) in a comprehensive revision of essential health care packages, by visualising the expected outcome of applying explicit criteria for priority setting

As a research tool

• develop and apply methods to better be able to combine fairness and efficiency concern in health care priorities