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dc.contributor.authorPoojan Shresthaen_US
dc.contributor.authorBen S. Cooperen_US
dc.contributor.authorJoanna Coasten_US
dc.contributor.authorRaymond Oppongen_US
dc.contributor.authorNga Do Thi Thuyen_US
dc.contributor.authorTuangrat Phodhaen_US
dc.contributor.authorOlivier Celhayen_US
dc.contributor.authorPhilippe J. Guerinen_US
dc.contributor.authorHeiman Wertheimen_US
dc.contributor.authorYoel Lubellen_US
dc.contributor.otherUniversity of Oxforden_US
dc.contributor.otherUniversity of Bristolen_US
dc.contributor.otherUniversity of Birminghamen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherNuffield Department of Clinical Medicineen_US
dc.contributor.otherRadboudumcen_US
dc.contributor.otherNational Hospital for Tropical Diseasesen_US
dc.contributor.otherOxford University Clinical Research Uniten_US
dc.date.accessioned2019-08-23T11:49:47Z-
dc.date.available2019-08-23T11:49:47Z-
dc.date.issued2018-08-09en_US
dc.identifier.citationAntimicrobial Resistance and Infection Control. Vol.7, No.1 (2018)en_US
dc.identifier.issn20472994en_US
dc.identifier.other2-s2.0-85054526515en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85054526515&origin=inwarden_US
dc.identifier.urihttp://repository.li.mahidol.ac.th/dspace/handle/123456789/46436-
dc.description.abstract© 2018 The Author(s). Background: Antimicrobial resistance (AMR) poses a colossal threat to global health and incurs high economic costs to society. Economic evaluations of antimicrobials and interventions such as diagnostics and vaccines that affect their consumption rarely include the costs of AMR, resulting in sub-optimal policy recommendations. We estimate the economic cost of AMR per antibiotic consumed, stratified by drug class and national income level. Methods: The model is comprised of three components: correlation coefficients between human antibiotic consumption and subsequent resistance; the economic costs of AMR for five key pathogens; and consumption data for antibiotic classes driving resistance in these organisms. These were used to calculate the economic cost of AMR per antibiotic consumed for different drug classes, using data from Thailand and the United States (US) to represent low/middle and high-income countries. Results: The correlation coefficients between consumption of antibiotics that drive resistance in S. aureus, E. coli, K. pneumoniae, A. baumanii, and P. aeruginosa and resistance rates were 0.37, 0.27, 0.35, 0.45, and 0.52, respectively. The total economic cost of AMR due to resistance in these five pathogens was $0.5 billion and $2.9 billion in Thailand and the US, respectively. The cost of AMR associated with the consumption of one standard unit (SU) of antibiotics ranged from $0.1 for macrolides to $0.7 for quinolones, cephalosporins and broad-spectrum penicillins in the Thai context. In the US context, the cost of AMR per SU of antibiotic consumed ranged from $0.1 for carbapenems to $0.6 for quinolones, cephalosporins and broad spectrum penicillins. Conclusion: The economic costs of AMR per antibiotic consumed were considerable, often exceeding their purchase cost. Differences between Thailand and the US were apparent, corresponding with variation in the overall burden of AMR and relative prevalence of different pathogens. Notwithstanding their limitations, use of these estimates in economic evaluations can make better-informed policy recommendations regarding interventions that affect antimicrobial consumption and those aimed specifically at reducing the burden of AMR.en_US
dc.rightsMahidol Universityen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85054526515&origin=inwarden_US
dc.subjectMedicineen_US
dc.titleEnumerating the economic cost of antimicrobial resistance per antibiotic consumed to inform the evaluation of interventions affecting their useen_US
dc.typeArticleen_US
dc.rights.holderSCOPUSen_US
dc.identifier.doi10.1186/s13756-018-0384-3en_US
Appears in Collections:Scopus 2018

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