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Isolation and Identification of Waterborne Antibiotic-Resistant Bacteria and Molecular Characterization of their Antibiotic Resistance Genes
Published on: March 3, 2023
Development of the antimicrobial resistance burden score through a modified eDelphi
William J Waldock1, Mark Gilchrist2,3, Frances Davies2,3
1Institute of Global Health Innovation, Imperial College London, London, UK. william.waldock17@imperial.ac.uk.
Abstract:
Current antimicrobial resistance (AMR) surveillance relies on fragmented indicators that fail to capture institutional AMR burden complexity. To develop the AMR Burden Score, a three-round modified eDelphi study engaged interdisciplinary experts (Round 1: n = 17, Rounds 2 and 3: n = 7), including clinicians, microbiologists, pharmacists, health economists, and public health specialists. The AMR Burden Score comprises six weighted domains: Resistance (25%), Effectiveness (30%), Monitoring (30%), Adoption (5%), Processes (5%), and Systems (5%). Strong consensus emerged for core indicators, including incidence of resistant infections (unanimous Round 3 agreement, median 8.0), pathogen-specific resistance rates (median 7.0), and staff training programmes (median 8.0). The AMR Burden Score provides a structured framework for institutional AMR assessment, though implementation requires context-specific adaptation and further validation.
Insights
A new Antimicrobial Resistance (AMR) Burden Score was developed using expert consensus to better assess institutional AMR complexity. This score offers a structured framework for evaluating and managing AMR within healthcare settings.
Area of Science:
- Infectious Diseases
- Health Economics
- Public Health Policy
Background:
- Current antimicrobial resistance (AMR) surveillance methods are fragmented and do not fully capture the complexity of institutional AMR burden.
- A comprehensive metric is needed to assess and manage AMR effectively at the institutional level.
Purpose of the Study:
- To develop a novel AMR Burden Score using a modified eDelphi study with interdisciplinary experts.
- To create a structured framework for assessing the complexity of AMR within healthcare institutions.
Main Methods:
- A three-round modified eDelphi study involving 17 experts in Round 1 and 7 experts in Rounds 2 and 3.
- Experts included clinicians, microbiologists, pharmacists, health economists, and public health specialists.
- The study focused on achieving consensus for core indicators and weighting for the AMR Burden Score.
Main Results:
- The AMR Burden Score consists of six weighted domains: Resistance (25%), Effectiveness (30%), Monitoring (30%), Adoption (5%), Processes (5%), and Systems (5%).
- Strong consensus was reached on key indicators such as incidence of resistant infections, pathogen-specific resistance rates, and staff training programs.
- The developed score provides a comprehensive approach to evaluating institutional AMR.
Conclusions:
- The AMR Burden Score offers a structured and consensus-driven framework for institutional AMR assessment.
- Implementation of the score requires context-specific adaptation and further validation to ensure its utility and accuracy.
- This score can guide efforts to improve AMR surveillance and management in healthcare settings.
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