Comparing neonatal and paediatric antibiotic prescribing between hospitals : a new algorithm to help international benchmarking
Articolo
Data di Pubblicazione:
2012
Citazione:
Comparing neonatal and paediatric antibiotic
prescribing between hospitals : a new algorithm to help international
benchmarking / A. Porta, Y. Hsia, K. Doerholt, N. Spyridis, J. Bielicki, E. Menson, M. Tsolia,
S. Esposito, I.C. Wong, M. Sharland. - In: JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY. - ISSN 0305-7453. - 67:5(2012), pp. dks021.1278-dks021.1286. [10.1093/jac/dks021]
Abstract:
Objectives: The WHO anatomical therapeutic chemical (ATC)/defined daily dose (DDD) methodology is a standardized method of comparing antimicrobial use. The ATC/DDD is defined as the average maintenance daily dose of a drug used in a 70 kg adult, ignoring the considerable differences in body weight of neonates and children. The aim of this study was to develop a new standardized way of comparing rates of antimicrobial prescribing between European children's hospitals. Methods: This pilot study at four European children's hospitals (in the UK, Greece and Italy) collected data including demographics, antibiotic use, dosing and indication in children and neonates over a 14 day period. Results: A total of 1217 antibiotic prescriptions were issued with 47 different antibiotics used. Approximately half of all children and a third of all neonates received antibiotics, with wide variation between centres in the type and dose of antibiotic used. We propose a new pragmatic three-step algorithm. The first step includes a simple comparison of the proportion of hospitalized children on antibiotics by weight bands and the number of antimicrobials that account for 90% of total DDD drug usage (DU90%). The second step is a comparison of the dosing used (mg/kg/day). The third step is to compare overall drug exposure using DDD/100 bed days for standardized weight bands between centres. Conclusions: This novel method has the potential to be a useful tool to provide antibiotic use comparator data and requires validation in a large prospective point prevalence study.
Tipologia IRIS:
01 - Articolo su periodico
Elenco autori:
A. Porta, Y. Hsia, K. Doerholt, N. Spyridis, J. Bielicki, E. Menson, M. Tsolia, S. Esposito, I.C. Wong, M. Sharland
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