Monitoring of Antibiotic Use: ATB-Raisin Network, France. 2017 Results
The ATB-Raisin antibiotic (ATB) usage monitoring system contributes to the appropriate use of antibiotics. Its objectives are to enable each healthcare facility (HF) to describe and analyze its antibiotic usage and to compare it with bacterial resistance data by benchmarking itself against a comparable group of HFs. Systemic ATBs in class J01 of the Anatomical Therapeutic Chemical (ATC) classification, rifampicin, oral imidazoles, and fidaxomicin, administered during inpatient stays, were expressed in terms of defined daily doses (DDD) and reported according to national and World Health Organization recommendations (ATC-DDD system, 2017). Resistance data were collected for seven bacteria/antibiotic pairs to enable each healthcare facility to assess its situation regarding selection pressure, on the one hand, and the ecological factors contributing to the use of certain antibiotics, on the other. The 1,622 participating healthcare facilities accounted for 76% of hospital days in France in 2017 and had consumed 362 DDJ/1,000 hospital days (HD). The most commonly used antibiotics were the amoxicillin-clavulanic acid combination (30%), amoxicillin (20%), and ceftriaxone (6%). Antibiotic consumption ranged from 55 DDD/1,000 HD in psychiatric hospitals to 597 in cancer treatment centers. Variations were observed across specialties, ranging from 57 DDD/1,000 HD in psychiatry to 1,452 in intensive care. Since 2012, a significant number of healthcare facilities have participated each year (1,411 in 2012 and 1,622 in 2017), allowing for the following trends to be extrapolated: an overall decline in antibiotic consumption since 2012 (-3.2%), with a sustained decrease beginning in 2016; an increase in the use of carbapenems, third-generation cephalosporins, and the piperacillin-tazobactam combination; a reduction in the use of fluoroquinolones and glycopeptides, in favor of new antibiotics targeting methicillin-resistant Staphylococcus aureus (MRSA). The resistance data were consistent with those from specific networks. Network-based surveillance enables each healthcare facility to analyze its situation, compare itself with others, exchange information on practices and organizational structures, and track evolving trends. Controlling antibiotic resistance requires knowledge and analysis of antibiotic consumption and bacterial resistance data, which must be supplemented by monitoring indicators of prescription appropriateness as well as evaluating practices for preventing cross-transmission.
Publishing year: 2019
Pages: 134 p.
In relation to
Our latest news
news
2026 “Sexual Behavior” Survey (ERAS) for men who have sex with men
news
Hervé Maisonneuve has been appointed scientific integrity officer for a...
news