Document Detail


Deriving measures of intensive care unit antimicrobial use from computerized pharmacy data: methods, validation, and overcoming barriers.
MedLine Citation:
PMID:  21515978     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Objective. To outline methods for deriving and validating intensive care unit (ICU) antimicrobial utilization (AU) measures from computerized data and to describe programming problems that emerged. Design. Retrospective evaluation of computerized pharmacy and administrative data. Setting. ICUs from 4 academic medical centers over 36 months. Interventions. Investigators separately developed and validated programming code to report AU measures in selected ICUs. Use of antibacterial and antifungal drugs for systemic administration was categorized and expressed as antimicrobial-days (each day that each antimicrobial drug was given to each patient) and patient-days receiving antimicrobials (each day that any antimicrobial drug was given to each patient). Monthly rates were compiled and analyzed centrally, with ICU patient-days as the denominator. Results were validated against data collected from manual review of medical records. Frequent discussion among investigators aided identification and correction of programming problems. Results. AU data were successfully programmed though a reiterative process of computer code revision. After identifying and resolving major programming errors, comparison of computerized patient-level data with data collected by manual review of medical records revealed discrepancies in antimicrobial-days and patient-days receiving antimicrobials that ranged from less than 1% to 17.7%. The hospital from which numerator data were derived from electronic records of medication administration had the least discrepant results. Conclusions. Computerized AU measures can be derived feasibly, but threats to validity must be sought out and corrected. The magnitude of discrepancies between computerized AU data and a gold standard based on manual review of medical records varies, with electronic records of medication administration providing maximal accuracy.
Authors:
David N Schwartz; R Scott Evans; Bernard C Camins; Yosef M Khan; James F Lloyd; Nadine Shehab; Kurt Stevenson
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Infection control and hospital epidemiology : the official journal of the Society of Hospital Epidemiologists of America     Volume:  32     ISSN:  1559-6834     ISO Abbreviation:  Infect Control Hosp Epidemiol     Publication Date:  2011 May 
Date Detail:
Created Date:  2011-04-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8804099     Medline TA:  Infect Control Hosp Epidemiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  472-80     Citation Subset:  IM; N    
Affiliation:
John H. Stroger, Jr. Hospital of Cook County and Rush Medical College, Chicago, Illinois.
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