Global Antibiotic Policy initiative – GAPi

Year of award: 2024

Grantholders

  • Ms Aislinn Cook

    Default Community Account

  • Dr Ramanan Laximinarayan

    University of Washington, United States

  • Prof Ben Cooper

    University of Oxford, United Kingdom

  • Prof Yot Teerawattananon

    Center for Global Development, United States

  • Anthony McDonnell

    CGD Europe, United Kingdom

  • Prof Mike Sharland

    St George's, University of London, United Kingdom

  • Dr David Smith

    Default Community Account

  • Dr Koen Pouwels

    University of Oxford, United Kingdom

Project summary

Antimicrobial resistance is responsible for significant mortality and economic harm. There is an urgent need to guide decision making around implementation of interventions aimed at achieving sustainable global levels of antibiotic use that ensure continued successful treatment of common infections. The overall aim of this project is to evaluate which decisions around antibiotic exposure targets and intervention implementation are optimal given the available data. We will pilot new methods that combine information from multiple sources to estimate antibiotic exposure across the Quadripartite sectors (WS1), develop the model structures needed to capture relevant health-economic consequences of intervention implementation (WS2), synthesise current evidence about parameters required to populate these models (WS3), and evaluate which exposure targets, as well as implementation of interventions aimed at reducing AMR burden, are associated with the largest net economic benefits (WS4). Through supplementing cost-effectiveness with macro-economic and value of information techniques the output will help to assess whether interventions should be i) implemented now, ii) implemented now with the requirement of further data collection and decision re-evaluation, or iii) delayed until further research has been performed to reduce uncertainty around influential parameters, reducing the probability of implementing poorly evidenced and/or cost-ineffective policies.