SEDRILIMS Phase III: Generating Evidence for Adoption and Sustainability of Laboratory Information Systems
Year of award: 2025
Grantholders
Prof Paul Turner
University of Oxford, United Kingdom
Mr Christopher Painter
University of Oxford, United Kingdom
Dr Thomasena O'Byrne
Liverpool School of Tropical Medicine, United Kingdom
Prof Aaron Aboderin
Obafemi Awolowo University, Nigeria
Prof Nicholas Feasey
University of St Andrews, United Kingdom
Mr Matthew King
Arcta Solutions Limited, United Kingdom
Mr Mauro Tobin
The Software for Health Foundation, United Kingdom
Project summary
Accessible high quality data is a fundamental requirement for responses to the global health antimicrobial resistance (AMR) threat. Health informatics is a neglected area in AMR research. Linkage of laboratory and patient data (e.g. infection syndrome, origin, outcome) is crucial for AMR burden estimation and intervention assessment. Software to support such linkage, and data management tools to improve utilisation, are limited. To support policy decisions around implementation of digital health solutions for tracking AMR burden / impacts and improving antibiotic use (AMU) / consumption (AMC) at patient, facility, and national levels, we propose a project with three interconnected work-packages; software / IT infrastructure development, implementation science-led clinical studies, and health economic modelling. The Wellcome-funded SEDRI-LIMS open-source microbiology laboratory information management system (LIMS) will be enhanced with additional analytics and interoperability capabilities. Processes around implementation of SEDRI-LIMS and subsequent clinical data utilisation will be characterised in healthcare facilities in Cambodia, Malawi, and Nigeria and facility-level clinical impacts collected via ACORN-lite AMR surveillance, prescribing / pharmacy data, and AMU point-prevalence surveys. We will develop budget impact models and return on investment projections for SEDRI-LIMS implementation and also model the economic impacts of improved AMR data utilisation and economic contribution of AMC to future AMR outcomes.