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Bergen Centre for Ethics and Priority Setting in Health (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.

Main content

The aim of the FairChoices - DCP Analytics Tool team is to develop and maintain a user-friendly tool 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.

Access FairChoices: DCP Analytics Tool

Project 

In collaboration with Disease Control Priorities (DCP) 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 develop a more user-friendly prototype of the tool and to tailor it to national priority setting processes in collaboration with national experts and groups working on health benefit packages and universal health coverage priorities. The challenge for this ambitious project is to make evidence from hundreds of interventions available in an understandable and meaningful way and to bridge clinical decision making, helath economics, ethics and policy. A comprehensive decision support tool like FairChoices is needed and such information is too important to be missed out and the FairChocies team aims to make this evidence available for real world priority setting. Initial users of the tools will be trained stakeholders in low-income countries that are involved in defining priority packages in each country.

Objectives of FairChoices DCP Analytics Tool

As a policy tool 

Assist policy makers in countries in a comprehensive revision of essential health care packages, by analysing and visualising the expected outcomes of applying explicit criteria for priority setting

As a research tool

Develop and apply methods to better be able to combine fairness, efficiency and clinical concerns in health care priorities

FairChoices team

FairChocies is developed by Kjell Arne JohanssonJan-Magnus Økland (Chief programmer), and Øystein Haaland at BCEPS UiB.

Core team: David Watkins (head of DCP site at University of Washington), Gunjeet Kaur (Responsible for Evidence Briefs), Sali Ahmed (Responsible for cost analysis), Matthew M. Coates (responsible for analysis of integrated teams and severity measures, collaboration with NCDI poverty network), William Msemburi (responsible for demography analyses)

Contributors (alphabetical order): Mihiret Wake Abza, Lelisa Fekadu Assebe, Ceren Ellertsen, Marius L. Fimland, Taran Grønvik, Alemayehu Hailu, Eline Sadiya Henriksen, Ryan Hoskins, Jessica Hubbers, Dean Jamison, Shokouh Makvandi-Nejad, Solomon Tessema Memirie, Ingrid Miljeteig, Genet Mulugeta, Asad Naveed, Ole Frithjof Norheim, Omar Mwalim Omar, Sarah Pickersgill & Stéphane Verguet

Evidence briefs

Evidence briefs summarizing key input parameters for clusters of interventions in FairChoices. Taxonomy of interventions is here (all interventions not analysed yet). DCP-3 volumes are important evidence sources. 

1. Surgery

Evidence briefs in this cluster soon to be uploaded

3. Reproductive Health

13. Musculoskeletal disorders

17. Rehabilitation

No interventions analysed here yet, expected to be included in FairChocies v3.0

20. Interpersonal violence

No interventions analysed here yet, expected to be included in later versions of FairChocies

21. Health system services

No interventions analysed here yet, expected to be included in later versions of FairChocies

22. Pandemic infections

No interventions analysed here yet, expected to be included in later versions of FairChocies

23. Intersectoral interventions

No interventions analysed here yet, expected to be included in later versions of FairChocies