Effective Stakeholder Engagement for Collation, Analysis and Expansion of Antimicrobial Resistance (AMR) Data: A CAPTURA Experience

Author:

Poudyal Nimesh1,Holm Marianne2,Joh Hea Sun1,Gautam Sanjay1,Sujan Mohammad Julhas1,Kwon Soo Young1,Sahikh Affan3,Shaw Alina3,Gallagher Partick3,Prifti Kristi1,Cho Alyssa1,Chi Kyu-young Kevin1,Aboushady Ahmed Taha14,MacWright William R3,Stelling John4,Marks Florian1567

Affiliation:

1. International Vaccine Institute , Seoul , Republic of Korea

2. Research & Collaboration, Anka Analytica , Melbourne , Australia

3. Public Health Surveillance Group LLC , Princeton , USA

4. Brigham & Women's Hospital, Harvard Medical School , Boston, Massachusetts , USA

5. Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge School of Clinical Medicine, Cambridge , United Kingdom

6. Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg , Germany

7. Madagascar Institute for Vaccine Research, University of Antananarivo , Antananarivo , Madagascar

Abstract

Abstract Background An effective implementation of antimicrobial resistance (AMR) surveillance projects requires sustainable and multidisciplinary engagement with stakeholders from various backgrounds, interests and aims. The “Capturing Data on Antimicrobial resistance Patterns and Trends in Use in Regions of Asia” (CAPTURA) project, funded by the Fleming Fund, initially targeted 12 countries in South Asia (SA) and Southeast Asia (SEA) to “expand the volume of historical and current data on AMR and antimicrobial usage” and support local agencies through capacity building activities. Methods In this article, we focus on early stakeholder engagement activities and present overall statistics on AMR data collated from 72 laboratories across seven countries. This included 2.3 million records of antimicrobial susceptibility testing (AST) data, which were curated, analyzed, and shared back to the facilities for informed decision making. Results Approximately 98% of the data collated by CAPTURA originated from laboratories based in SA countries. Furthermore, country-wide data were analyzed to identify commonly reported pathogens in each country, followed by descriptions of AST practices and multidrug-resistant (MDR) pathogens. Overall, we found meager adherence to standard guidelines to perform and record AST results, and a significant number of MDR pathogens were reported. Conclusions We conclude that close collaboration with the existing national mechanisms for identifying AMR data sources was crucial for the project's success. Although we show a vast retrospective dataset on AMR is available for data sharing in Asia, there remain critical gaps in data generation/management practice and analysis capacity for AMR data at most facilities.

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

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