Modeling the Impact and Cost of a Culture-Dependent Molecular Test for Antimicrobial Resistance in Resource-Limited Settings

In high AMR burden settings with blood culture infrastructure supporting fast turnaround times, a molecular test could improve health outcomes of bloodstream infection. Impact is limited by delayed turnaround times and the effectiveness of empiric therapy. Molecular diagnostics implemented at $100 or less can generate healthcare-system cost savings, supporting their adoption to improve health outcomes and reduce AMR while remaining cost-neutral.

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Publication Details

Journal
Clinical Infectious Diseases
Published
2025-05-09
DOI
https://doi.org/10.1093/cid/ciaf236
Citations
1
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
1.32
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article

Modeling the Impact and Cost of a Culture-Dependent Molecular Test for Antimicrobial Resistance in Resource-Limited Settings

Cecilia Ferreyra, Shaukat Khan, Kyra H. Grantz, Megan A Hansen et al.
1 citations
Clinical Infectious Diseases
Bacterial Identification and Susceptibility Testing
1.32
article

Modeling the Impact and Cost of a Culture-Dependent Molecular Test for Antimicrobial Resistance in Resource-Limited Settings

Cecilia Ferreyra, Shaukat Khan, Kyra H. Grantz, Megan A Hansen, Joshua M Chevalier, Veronicah Chuchu, Benjamin Blümel, Brooke E Nichols, Birgitta Gleeson
article en
1 citations

Abstract

In high AMR burden settings with blood culture infrastructure supporting fast turnaround times, a molecular test could improve health outcomes of bloodstream infection. Impact is limited by delayed turnaround times and the effectiveness of empiric therapy. Molecular diagnostics implemented at $100 or less can generate healthcare-system cost savings, supporting their adoption to improve health outcomes and reduce AMR while remaining cost-neutral.

Clinical Infectious DiseasesVol. 82(1)
Boston University (US), FIND (CH), University of the Witwatersrand (ZA), Amsterdam Institute for Global Health and Development (NL), Amsterdam University Medical Centers (NL), Impact (CA), University of Amsterdam (NL)
Openalex Percentile: Top 20%
Bacterial Identification and Susceptibility Testing
1.32
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