4CPS-113 Impact of antimicrobial stewardship programmes automatic alerts in improving the duration of antimicrobial tretament
Year: 2025
Type: conference-paper
Abstract: Background and Importance The proportion of inappropriate or unnecessary antibiotic prescriptions in hospital settings has been estimated at 40% by various studies. One of the most frequent cause of inadequate treatment is the excessive duration of antimicrobial therapy beyond what is recommended in clinical practice guidelines.The main consequences of overuse include adverse events, bacterial resistance and higher costs. Aim and Objectives The aim is to reduce the duration of antimicrobial treatment in hospitalised patients. Material and Methods An automatic intervention by the Antimicrobial Stewardship Programmes (ASP) team in collaboration with information technology team was planned to reduce the duration of antimicrobial treatments. The electronic prescription programme Athos-Prisma was integrated with the clinical course of hospitalised patients. Using a Structured Query Language to Athos-Prisma, patients with antibiotic treatment for 7 or 10 days were identified. An automatic ASP note was generated daily in the patient’s clinical history, indicating the antimicrobial, dosage regimen, days of treatment and recommending an assessment of continuation based on the type of infection. Results From January 18 th to March 11 th 2024, a total of 415 automatic ASP notes were generated in the clinical courses of 260 patients. Following the informative note, the prescription was evaluated within 24 hours and, resulting in the discontinuation of, antimicrobial treatment in 113 cases (27.22%). Additionally, it was discontinued in 90 cases (21.68%) after 7 days and in 23 cases after 10 days. Conclusion and Relevance Informatics helps identifying ASP solutions to optimise the duration of antimicrobial treatment and demonstrates a successful strategy that could easily be implemented in other hospitals. References and/or Acknowledgements Conflict of Interest No conflict of interest
Language: English
Subfield: Applied Microbiology and Biotechnology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W4408375686