Development of an antibiotic use surveillance system, investigation of the statistical relationship between antibiotic consumption and microbial resistance and implementaation of evidence based antibiotic policies in district general hospitals of Crete

Abstract

Study 1: A standardized antibiotic surveillance system is an essential requirement of all antibiotic control strategies. To this end, we reviewed the international literature and assessed the methods, trends and targets of international hospital antibiotic surveillance programs. Conclusions are summarized as follows: Antibiotic use can be accurately quantified using patient-level surveillance, though it is not feasible for most hospitals. Instead, population-level surveillance is a more realistic alternative for ongoing and systematic monitoring of antibiotic use. Monitoring of aggregate, ward-supply data on a monthly basis, stratification by patient-care area and analysis by the anatomical therapeutic chemical and defined daily dose (ATC/DDD) system, adjusting for bed-occupancy, provides a clear picture of antibiotic consumption density and time-trends within the hospital. When usage rates are supplemented and interpreted accordingly to changes in hospital resource indicators (number ...
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DOI
10.12681/eadd/15799
Handle URL
http://hdl.handle.net/10442/hedi/15799
ND
15799
Alternative title
Ανάπτυξη συστήματος επιτήρησης της χρήσης των αντιβιοτικών, η στατιστική συσχέτιση της χρήσης με την εξέλιξη της μικροβιακής αντοχής και ανάπτυξη και εφαρμογή καθοδηγούμενης από δεδομένα (evidence based) πολιτικής χρήσης στα γενικά νοσοκομεία της Περιφέρειας Κρήτης
Author
Kritsotakis, Evangelos (Father's name: I.)
Date
2007
Degree Grantor
University of Crete (UOC)
Committee members
Γκίκας Αχιλλέας
Τσελέντης Ιωάννης
Σαμώνης Γεώργιος
Γραβάνης Αχιλλέας
Φιλαλήθης Αναστάσιος
Γαλανάκης Εμμανουήλ
Χλουβεράκης Γρηγόριος
Discipline
Medical and Health Sciences
Health Sciences
Keywords
Antibiotic use surveillance; Antimicrobial resistance; Antibiotic policy; Vancomycin resistant enterococcus; Time series analysis; Arima models; Linear transfer function models; Antibiotic consumption
Country
Greece
Language
Greek
Description
172 σ., im.
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