Document Detail


Guided medication dosing for elderly emergency patients using real-time, computerized decision support.
MedLine Citation:
PMID:  22052899     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
ObjectiveTo evaluate the impact of a real-time computerized decision support tool in the emergency department that guides medication dosing for the elderly on physician ordering behavior and on adverse drug events (ADEs).DesignA prospective controlled trial was conducted over 26 weeks. The status of the decision support tool alternated OFF (7/17/06-8/29/06), ON (8/29/06-10/10/06), OFF (10/10/06-11/28/06), and ON (11/28/06-1/16/07) in consecutive blocks during the study period. In patients ≥65 who were ordered certain benzodiazepines, opiates, non-steroidals, or sedative-hypnotics, the computer application either adjusted the dosing or suggested a different medication. Physicians could accept or reject recommendations.MeasurementsThe primary outcome compared medication ordering consistent with recommendations during ON versus OFF periods. Secondary outcomes included the admission rate, emergency department length of stay for discharged patients, 10-fold dosing orders, use of a second drug to reverse the original medication, and rate of ADEs using previously validated explicit chart review.Results2398 orders were placed for 1407 patients over 1548 visits. The majority (49/53; 92.5%) of recommendations for alternate medications were declined. More orders were consistent with dosing recommendations during ON (403/1283; 31.4%) than OFF (256/1115; 23%) periods (p≤0.0001). 673 (43%) visits were reviewed for ADEs. The rate of ADEs was lower during ON (8/237; 3.4%) compared with OFF (31/436; 7.1%) periods (p=0.02). The remaining secondary outcomes showed no difference.LimitationsSingle institution study, retrospective chart review for ADEs.ConclusionThough overall agreement with recommendations was low, real-time computerized decision support resulted in greater acceptance of medication recommendations. Fewer ADEs were observed when computerized decision support was active.
Authors:
Richard T Griffey; Helen G Lo; Elisabeth Burdick; Carol Keohane; David W Bates
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-11-3
Journal Detail:
Title:  Journal of the American Medical Informatics Association : JAMIA     Volume:  -     ISSN:  1527-974X     ISO Abbreviation:  -     Publication Date:  2011 Nov 
Date Detail:
Created Date:  2011-11-4     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9430800     Medline TA:  J Am Med Inform Assoc     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Division of Emergency Medicine, Washington University Institute for Public Health, St. Louis, Missouri, USA.
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