# Enhancing antimicrobial resistance (AMR) surveillance data use in Uganda

## TL;DR

This study identifies challenges in using antimicrobial resistance data in Uganda and suggests improvements to support better public health decisions.

## Contribution

The study provides a framework for assessing and improving AMR data use through stakeholder engagement and system analysis in Uganda.

## Key findings

- Deficiencies in AMR data governance and informatics capabilities were identified.
- Limited access to data and analytical capacity hinder effective decision-making.
- Real-time data analysis infrastructure is lacking, limiting policy support.

## Abstract

This study aimed to identify gaps and barriers to the use of antimicrobial resistance (AMR) surveillance data in Uganda and to recommend enhancements to improve policy and intervention outcomes.

A comprehensive assessment was conducted within a framework of infrastructural and system analysis, stakeholder engagement, and data management simulations.

The assessment consisted of three components: (1) assessing data utilization through stakeholder engagement to identify barriers in data translation and use; (2) evaluating the existing infrastructure and surveillance system supporting AMR data flow; and (3) simulating processes of data management and flow to contextualize identified gaps.

Findings revealed deficiencies in the AMR data governance structure and informatics capabilities. Stakeholders highlighted limited access to data and analytical capacity as barriers to effective decision-making. The existing infrastructure lacks the capability for real-time data analysis, which limits the ability to inform national and health facility policies. Strengthening data management processes, enhancing analytical tools, and fostering stakeholder collaboration at all levels are recommended for efficient data utilization.

Addressing these gaps is crucial for strengthening AMR surveillance in Uganda, enabling more effective data use to guide intervention and policies, and ultimately improving public health outcomes.