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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/10392
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dc.contributor.advisorLoeb, Marken_US
dc.contributor.advisorWalter, Stephenen_US
dc.contributor.advisorBrazil, Kevinen_US
dc.contributor.authorMertz, Dominiken_US
dc.date.accessioned2014-06-18T16:51:09Z-
dc.date.available2014-06-18T16:51:09Z-
dc.date.created2011-07-18en_US
dc.date.issued2011-10en_US
dc.identifier.otheropendissertations/5442en_US
dc.identifier.other6435en_US
dc.identifier.other2103958en_US
dc.identifier.urihttp://hdl.handle.net/11375/10392-
dc.description.abstract<p>Antibiotic use is generally regarded as the major driver for resistance. Many studies reporting an association between antibiotic use and the emergence of resistance have been published. However, most studies have significant limitations such as single center data with comparably low number of cases, using retrospective designs with limited data availability, ecological studies with lack of assessing the individual level and risk for ecological fallacy, and inappropriate selection of controls in case-control studies.</p> <p>A cohort study in adult patients hospitalized in 15 participating acute care hospital sites in Ontario, Canada, was conducted from April 1 2005 to June 30 2006. Antibiotic use on the unit level in defined daily doses (DDD) was only available for 3 sites. In order to assess antibiotic use on both the individual as well as on the unit level as a risk factor for resistance, days of therapy (DOT) could be calculated. However, it was unclear whether this approach would results in similar findings as when using DDD. Thus, the impact of using either DDD or DOT on the risk estimates for resistance was assessed for three antimicrobial-bacteria combinations, i.e. fluoroquinolone use and fluoroquinolone resistance in enterobacteriaceae an in <em>Pseudomonas aeruginosa</em>, and the use of betalactams and resistance to third generation cephalosporins in enterobacteriaceae.</p> <p>The risk estimates for resistance were very similar for all three antimicrobial-bacteria combinations on acute care units, there were some discrepancies on the unit level on intensive care units, and discrepancies on both levels for step down and rehabilitation units.</p> <p>In conclusion, the approach to use DOT instead of DDD to measure antibiotic utilization revealed similar results. However, the lack of comprehensive information on patient transfers when calculating DOT may bias the findings on units with frequent patient transfers such as intensive care units and step down and rehabilitation units.</p>en_US
dc.subjectantibioticen_US
dc.subjectantimicrobialen_US
dc.subjectexposureen_US
dc.subjectutilizationen_US
dc.subjectrisk factoren_US
dc.subjectresistanceen_US
dc.subjectInfectious Diseaseen_US
dc.subjectInfectious Diseaseen_US
dc.titleComparing Days of Therapy (DOT) and Defined Daily Doses (DDD) as Risk Factors for Antimicrobial Resistance in a Multi-Level Modelen_US
dc.typethesisen_US
dc.contributor.departmentHealth Research Methodologyen_US
dc.description.degreeMaster of Science (MSc)en_US
Appears in Collections:Open Access Dissertations and Theses

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