Literature DB >> 25530553

Improving quality of data extractions for the computation of patient-days and admissions.

Élise Fortin1, Milagros Gonzales2, Patricia S Fontela2, Robert W Platt3, David L Buckeridge3, Caroline Quach4.   

Abstract

We describe how admissions/discharges/transfers datasets were carefully reviewed for the computation of patient days and admissions used to monitor resistance and antimicrobial use in 9 intensive care units. A visual inspection of datasets and comparisons with other data sources improved accuracy, completeness, and consistency of computations.
Copyright © 2015 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

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Keywords:  Data quality; Denominators; Surveillance

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Year:  2014        PMID： 25530553     DOI： 10.1016/j.ajic.2014.10.024

Source DB:  PubMed          Journal:  Am J Infect Control        ISSN： 0196-6553            Impact factor:   2.918


  1 in total

1.  Predicting Antimicrobial Resistance Prevalence and Incidence from Indicators of Antimicrobial Use: What Is the Most Accurate Indicator for Surveillance in Intensive Care Units?

Authors:  Élise Fortin; Robert W Platt; Patricia S Fontela; David L Buckeridge; Caroline Quach
Journal:  PLoS One       Date:  2015-12-28       Impact factor: 3.240
  1 in total

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