Surveillance of Overall Hospital Antibiotic Consumption: Is Stratification according to Hospital Size the Best Method?

2011 ◽  
Vol 32 (12) ◽  
pp. 1223-1225 ◽  
Author(s):  
C. Couderc ◽  
L. Lacavé ◽  
F. L'Hériteau ◽  
P. Astagneau
Keyword(s):  
Antibiotic Consumption ◽  
Hospital Size ◽  
Hospital Antibiotic Consumption

Hospital antibiotic consumption in Switzerland: comparison of a multicultural country with Europe

2011 ◽  
Vol 79 (2) ◽  
pp. 166-171 ◽  
Author(s):  
C. Plüss-Suard ◽  
A. Pannatier ◽  
A. Kronenberg ◽  
K. Mühlemann ◽  
G. Zanetti
Keyword(s):  
Antibiotic Consumption ◽  
Hospital Antibiotic Consumption

scholarly journals Risk-adjusted antibiotic consumption in 34 public acute hospitals in Ireland, 2006 to 2014

2016 ◽  
Vol 21 (32) ◽  
Author(s):  
Ajay Oza ◽  
Fionnuala Donohue ◽  
Howard Johnson ◽  
Robert Cunney
Keyword(s):  
Administrative Data ◽  
Risk Adjustment ◽  
Antibiotic Consumption ◽  
Factors Affecting ◽  
Defined Daily Doses ◽  
Acute Hospitals ◽  
Consumption Rates ◽  
Hospital Antibiotic Consumption ◽  
Bed Days ◽  
The Impact

As antibiotic consumption rates between hospitals can vary depending on the characteristics of the patients treated, risk-adjustment that compensates for the patient-based variation is required to assess the impact of any stewardship measures. The aim of this study was to investigate the usefulness of patient-based administrative data variables for adjusting aggregate hospital antibiotic consumption rates. Data on total inpatient antibiotics and six broad subclasses were sourced from 34 acute hospitals from 2006 to 2014. Aggregate annual patient administration data were divided into explanatory variables, including major diagnostic categories, for each hospital. Multivariable regression models were used to identify factors affecting antibiotic consumption. Coefficient of variation of the root mean squared errors (CV-RMSE) for the total antibiotic usage model was very good (11%), however, the value for two of the models was poor (> 30%). The overall inpatient antibiotic consumption increased from 82.5 defined daily doses (DDD)/100 bed-days used in 2006 to 89.2 DDD/100 bed-days used in 2014; the increase was not significant after risk-adjustment. During the same period, consumption of carbapenems increased significantly, while usage of fluoroquinolones decreased. In conclusion, patient-based administrative data variables are useful for adjusting hospital antibiotic consumption rates, although additional variables should also be employed.

scholarly journals How to measure hospital antibiotic consumption: comparison of two methods from data surveillance in France

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Florence Stordeur ◽  
Katiuska Miliani ◽  
Ludivine Lacavé ◽  
Anne-Marie Rogues ◽  
Catherine Dumartin ◽  
...  
Keyword(s):  
Antibiotic Use ◽  
Antibiotic Consumption ◽  
Strongly Correlated ◽  
Surveillance Network ◽  
Healthcare Facilities ◽  
Clinical Ward ◽  
Hospital Antibiotic Consumption ◽  
Data Surveillance ◽  
National Databases ◽  
Spearman’S Correlation

Abstract Background Antibiotic use (ABU) surveillance in healthcare facilities (HCFs) is essential to guide stewardship. Two methods are recommended: antibiotic consumption (ABC), expressed as the number of DDD/1000 patient-days; and prevalence of antibiotic prescription (ABP) measured through point prevalence surveys. However, no evidence is provided about whether they lead to similar conclusions. Objectives To compare ABC and ABP regarding HCF ranking and their ability to identify outliers. Methods The comparison was made using 2012 national databases from the antibiotic surveillance network and prevalence study. HCF rankings according to each method were compared with Spearman’s correlation coefficient. Analyses included the ABU from entire HCFs as well as according to type, clinical ward and by antibiotic class and specific molecule. Results A total of 1076 HCFs were included. HCF rankings were strongly correlated in the whole cohort. The correlation was stronger for HCFs with a higher number of beds or with a low or moderate proportion of acute care beds. ABU correlation between ABC or ABP was globally moderate or weak in specific wards. Furthermore, the two methods did not identify the same outliers, whichever HCF characteristics were analysed. Correlation between HCF ranking varied according to the antibiotic class. Conclusions Both methods ranked HCFs similarly overall according to ABC or ABP; however, major differences were observed in ranking of clinical wards, antibiotic classes and detection of outliers. ABC and ABP are two markers of ABU that could be used as two complementary approaches to identify targets for improvement.

Antibiotic consumption at 46 VINCat hospitals from 2007 to 2009, stratified by hospital size and clinical services

2012 ◽  
Vol 30 ◽  
pp. 43-51 ◽  
Author(s):  
Santiago Grau ◽  
Esther Fondevilla ◽  
Sergi Mojal ◽  
Mercedes Palomar ◽  
Jordi Vallès ◽  
...  
Keyword(s):  
Antibiotic Consumption ◽  
Clinical Services ◽  
Hospital Size

scholarly journals A few antibiotics can represent the total hospital antibiotic consumption

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Bongyoung Kim ◽  
Hyeonjun Hwang ◽  
Jieun Kim ◽  
Myoung-jae Lee ◽  
Hyunjoo Pai
Keyword(s):  
Antibiotic Consumption ◽  
Total Hospital ◽  
Hospital Antibiotic Consumption

Is There Significant Regional Variation in Hospital Antibiotic Consumption in Germany?

Infection ◽  
2006 ◽  
Vol 34 (5) ◽  
pp. 274-277 ◽  
Author(s):  
K. de With ◽  
M. Steib-Bauert ◽  
P. Straach ◽  
W. V. Kern
Keyword(s):  
Regional Variation ◽  
Antibiotic Consumption ◽  
Hospital Antibiotic Consumption

Comparison of Defined versus Recommended versus Prescribed Daily Doses for Measuring Hospital Antibiotic Consumption

Infection ◽  
2009 ◽  
Vol 37 (4) ◽  
pp. 349-352 ◽  
Author(s):  
K. de With ◽  
H. Bestehorn ◽  
M. Steib-Bauert ◽  
W. V. Kern
Keyword(s):  
Antibiotic Consumption ◽  
Hospital Antibiotic Consumption

scholarly journals Validation of adapted daily dose definitions for hospital antibacterial drug use evaluation: a multicentre study

2017 ◽  
Vol 72 (10) ◽  
pp. 2931-2937 ◽  
Author(s):  
Gesche Först ◽  
Katja de With ◽  
Nadine Weber ◽  
Johannes Borde ◽  
Christiane Querbach ◽  
...  
Keyword(s):  
Drug Use ◽  
Drug Class ◽  
Anatomical Therapeutic Chemical ◽  
Antibiotic Consumption ◽  
Antibacterial Drug ◽  
Surveillance Systems ◽  
Pooled Data ◽  
Chemical Index ◽  
Hospital Antibiotic Consumption ◽  
Antibiotic Consumption Surveillance

Abstract Background The WHO/ATC (Anatomical Therapeutic Chemical) index DDD (WHO-DDD) is commonly used for drug consumption measurement. Discrepancies between WHO-DDD and actual prescribed daily doses (PDD) in hospitals have prompted alternative dose definitions adapted to doses recommended in hospital practice guidelines [recommended daily doses (RDD)]. Methods In order to validate RDD we performed modified point prevalence surveys in 24 acute care hospitals and recorded 20620 PDD of antibiotics given to 4226 adult patients on the day of the survey and the 6 preceding days. We calculated RDD and WHO-DDD and compared them with PDD. Results The rate of RDD corresponding to PDD was higher than the corresponding rate for WHO-DDD (pooled data, 55% versus 30%) and the differences were similar across the hospital sample, but varied according to drug/drug class, route of administration, indication and renal function. RDD underestimated actual consumption by 14% overall, while WHO-DDD overestimated total antibacterial consumption by 28% (pooled data; median values RDD −10% versus WHO-DDD +32%). The deviations of estimated from actual drug use volumes were largest for β-lactams (RDD −11% versus WHO-DDD +49%), in particular for penicillins (−11% versus +64%), if WHO-DDD were used. Conclusions Hospital antibiotic consumption surveillance systems using current WHO-DDD should address the uneven discrepancies between actual prescribing and consumption estimates according to drug class that may lead to misclassification in benchmark analyses. We recommend using validated RDD as a supplementary measure to the WHO-DDD for detailed analyses.

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