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Updated: Jul 9, 2025

Quantitative Polymerase Chain Reaction-based Analyses of Murine Intestinal Microbiota After Oral Antibiotic Treatment
Published on: November 17, 2018
Do you see the problem? Visualising a generalised 'complex local system' of antibiotic prescribing across the United
Rebecca E Glover1, Nicholas B Mays1, Alec Fraser2
1Policy Innovation Research Unit, London School of Hygiene and Tropical Medicine, London, UK.
Abstract:
Antimicrobial resistance (AMR) is often referred to as a complex problem embedded in a complex system. Despite this insight, interventions in AMR, and in particular in antibiotic prescribing, tend to be narrowly focused on the behaviour of individual prescribers using the tools of performance monitoring and management rather than attempting to bring about more systemic change. In this paper, we aim to elucidate the nature of the local antibiotic prescribing 'system' based on 71 semi-structured interviews undertaken in six local areas across the United Kingdom (UK). We applied complex systems theory and systems mapping methods to our qualitative data to deepen our understanding of the interactions among antibiotic prescribing interventions and the wider health system. We found that a complex and interacting set of proximal and distal factors can have unpredictable effects in different local systems in the UK. Ultimately, enacting performance management-based interventions in the absence of in-depth contextual understandings about other pressures prescribers face is a recipe for temporary solutions, waning intervention effectiveness, and unintended consequences. We hope our insights will enable policy makers and academics to devise and evaluate interventions in future in a manner that better reflects and responds to the dynamics of complex local prescribing systems.
Insights
Antimicrobial resistance (AMR) interventions often fail because they focus on individual prescribers, not the complex local systems. Understanding these systems is key to effective, long-term antibiotic stewardship.
Area of Science:
- Public Health
- Health Systems Research
- Qualitative Research Methods
Background:
- Antimicrobial resistance (AMR) is a significant global health threat.
- Current AMR interventions, particularly for antibiotic prescribing, often adopt a narrow focus on individual prescriber behavior.
- There is a need for a more systemic approach to understand and address antibiotic prescribing patterns.
Purpose of the Study:
- To explore the complex nature of local antibiotic prescribing systems in the UK.
- To apply complex systems theory and systems mapping to qualitative data on antibiotic prescribing.
- To understand the interactions between antibiotic prescribing interventions and the broader health system.
Main Methods:
- Conducted 71 semi-structured interviews in six diverse UK local areas.
- Utilized complex systems theory principles.
- Employed systems mapping techniques for qualitative data analysis.
Main Results:
- Identified a complex interplay of proximal and distal factors influencing local antibiotic prescribing.
- Observed that these factors can produce unpredictable effects across different local systems.
- Highlighted that performance management interventions without contextual understanding lead to temporary fixes and unintended consequences.
Conclusions:
- Effective antimicrobial resistance (AMR) interventions require a deep understanding of local prescribing system dynamics.
- Policy makers and researchers should adopt systems-thinking approaches for designing and evaluating AMR strategies.
- Future interventions must acknowledge and respond to the complex pressures faced by prescribers for sustainable effectiveness.
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