Objectives: To perform a model-based cost-effectiveness evaluation of a rapid antimicrobial susceptibility test.
Design: A Markov model of a cohort of hospital inpatients with urinary tract infection (with inpatient numbers based on national administrative data from 1 April 2017 to 31 March 2019).
Setting: Urinary tract infections (UTI) in acute National Health Service (NHS) Trusts in England, from the perspective of the NHS Healthcare system, at a national level.
Euro Surveill
November 2024
To reduce antimicrobial resistance (AMR), pathogen-specific AMR burden data are crucial to guide target selection for research and development of vaccines and monoclonal antibodies (mAbs). We identified knowledge gaps through previously conducted systematic reviews, which informed a Delphi expert consultation on future AMR research priorities and harmonisation strategies to support data-driven decision-making. Consensus (≥80% agreement) on importance and feasibility of research topics was achieved in two rounds, involving 24 of 39 and 19 of 24 invited experts, respectively.
View Article and Find Full Text PDFJAC Antimicrob Resist
October 2024
Shortening standard antibiotic courses and stopping antibiotics when patients feel better are two ways to reduce exposure to antibiotics in the community, and decrease the risks of antimicrobial resistance and antibiotic side effects. While evidence shows that shorter antibiotic treatments are non-inferior to longer ones for infections that benefit from antibiotics, shorter courses still represent average treatment durations that might be suboptimal for some. In contrast, stopping antibiotics based on improvement or resolution of symptoms might help personalize antibiotic treatment to individual patients and help reduce unnecessary exposure.
View Article and Find Full Text PDFObjectives: About 60% of antibiotic prescribing in primary care is for respiratory tract infections (RTIs), some of which is likely unnecessary. There is limited evidence on the association between reduced antibiotic prescribing and adverse events. We aimed to identify associations between practice-level prescribing rates for RTIs in general practice, and patient-level adverse outcomes.
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