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7 - Ensuring innovation for diagnostics for bacterial infection to combat antimicrobial resistance

Published online by Cambridge University Press:  21 March 2020

Michael Anderson
Affiliation:
London School of Economics and Political Science
Michele Cecchini
Affiliation:
OECD
Elias Mossialos
Affiliation:
London School of Economics and Political Science
Jonathan North
Affiliation:
European Observatory on Health Systems and Policies

Summary

An effective global AMR response will require diagnostics that are affordable and accessible, can be used at the point-of-care (POC), and can rapidly determine antimicrobial susceptibility or detect resistance. These tests are urgently needed to guide patient management, reduce inappropriate use of antibiotics and improve patient outcomes. POC tests with resistance detection and data transmission capabilities will be useful for AMR surveillance to monitor AMR trends and detect emergence of novel resistance in real time to enable timely optimisation of AMR strategies. Connected diagnostics have the potential to improve the efficiency of health care systems by simplifying patient pathways, guiding appropriate use of drugs and other resources and improving patient outcomes. POC tests are also useful in reducing the cost of R&D for new antibiotics. To ensure innovation in diagnostics development and deployment, a sound business case needs to be made to quantify the risk of not having diagnostics to improve the specificity of syndromic management. Financing mechanisms to incentivize diagnostic innovation, de-risk R&D and to finance the deployment of novel diagnostic solutions for AMR within different health systems are urgently needed.

Information

Figure 0

Table 7.1 High performing biomarkers for distinguishing between bacterial and viral infections

Source: Kapasi et al., 2016.
Figure 1

Table 7.2 Resistant pathogens posing public health threats as prioritized by the US Centers for Disease Control and Prevention

Source: US Centers for Disease Control and Prevention, 2013.
Figure 2

Table 7.3 WHO list of priority pathogens for R&D of antibiotics

Source: World Health Organization, 2017b.
Figure 3

Table 7.4 Pathogen–antimicrobial combinations on which GLASS will collect data

Source: World Health Organization, 2015b.

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