Goal

These projects aim to improve antimicrobial usage (AMU) data quality and policy development in low- and middle-income countries (LMICs).

Lead

Prof. Michael Sharland and Aislinn Cook at City St George’s, University of London

Juliet Namugambe, Hossam Almadhoon and Annie Heath – City St George’s, University of London

Collaborators

• University of Oxford
• Global Point Prevalence Survey- University of Antwerp
• International Vaccine Institute

• Fondation Mérieux

Funder

The Fleming Fund

What we did

The TACE project, building on the success of the ADILA initiative, works to enhance the quality and utility of antimicrobial use (AMU) data at both population and patient levels. In partnership with consortiums led by IVI (Asia) and Fondation Merieux (Africa), we support multiple LMICs in Africa and Asia to strengthen local AMU surveillance, policy and stewardship through data-driven interventions. TACE focuses on improving data quality through providing training, technical support, policy guidance to enhance the collection and analysis of antibiotic used data in hospitals and primary care, and creating tools to translate the AMU data into practical interventions for hospital and national stewardship teams. TACE encourages clinicians to promote appropriate antibiotic use by analysing PPS data against the AWaRe Quality Indicators -developed under ADILA- to assess prescribing practices for common infection categories and surgical prophylaxis. To enable data-driven decisions, a dashboard was developed to visualise the AWaRe QI outputs to enable stakeholders identify gaps and prioritise improvements. TACE strengthens clinician engagement by assessing how healthcare teams integrate laboratory, PPS and AMU data into clinical care and stewardship efforts. Inspired by ADILA’s comprehensive approach, TACE reinforces the importance of local data in shaping effective antibiotic use policies. By bridging the gap between data collection and real-world application, TACE empowers countries to tackle against antimicrobial resistance (AMR) challenges with targeted context-specific strategies. TACE is actively implemented across multiple LMICs in Africa and Asia, with ongoing activities and future phases planned to expand its impact.

Key learnings

Analytical tools (e.g., automated dashboards) facilitate efficient analysis and clear communication of antimicrobial use survey data, generating interpretable outputs that improve their value for clinical and policy decision-making.

Outputs

AWaRe-based Antibiotic Use Quality Indicators Tool

PPS Short Report and Intervention Guide

AMC Health Facility Toolkit: Health Facility Antimicrobial Consumption Data Input WITH AWARE & ROUTE TOOL v2