Literature DB >> 8038479

Preventing adverse drug events in hospitalized patients.

R S Evans1, S L Pestotnik, D C Classen, S D Horn, S B Bass, J P Burke.   

Abstract

OBJECTIVE: To use computerized adverse drug event (ADE) surveillance to help identify methods to reduce the number of ADEs in hospitalized patients.
DESIGN: Prospective study of 79,719 hospitalized patients during a 44-month period.
SETTING: LDS Hospital, a 520-bed tertiary care center affiliated with the University of Utah School of Medicine, Salt Lake City. INTERVENTION: Sequential study periods of at least one year each were compared. In the first period, data were collected but not reported to physicians, pharmacists, or nurses. In the subsequent study periods, three interventions (computerized alerts of drug allergies, standardized antibiotic administration rates, and timely physician notification of all ADEs) were made to reduce the number of type B (allergic or idiosyncratic reactions) and severe ADEs.
RESULTS: In the first study period, we identified 56 type B ADEs during 120,213 patient days. During two subsequent study periods that included alerts to physicians of known drug allergies and standardized antibiotic administration rates, 8 type B events were identified during 113,237 patient days and 18 during 107,868 patient days, respectively (p < 0.002). Early notification of physicians of all confirmed ADEs regardless of severity was associated with a significant reduction of ADEs classified as severe from 41 during 113,859 patient days in the first study period to 12 during 103,071 patient days and 15 during 108,320 patient days in two subsequent study periods, respectively (p < 0.001).
CONCLUSIONS: Prospective surveillance of computer-based medical records for known drug allergies and appropriate drug administration rates can reduce the number of type B ADEs. Early ADE detection and notification of physicians permit drug and dosage changes that reduce the progression of mild and moderate ADEs to more severe conditions.

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Year:  1994        PMID: 8038479     DOI: 10.1177/106002809402800417

Source DB:  PubMed          Journal:  Ann Pharmacother        ISSN: 1060-0280            Impact factor:   3.154


  38 in total

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Authors:  T J White; A Arakelian; J P Rho
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2.  RADARx: Recognizing, Assessing, and Documenting Adverse Rx events.

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Journal:  Proc AMIA Symp       Date:  2000

3.  Computerized survelliance of adverse drug reactions in hospital: pilot study.

Authors:  T Azaz-Livshits; M Levy; B Sadan; M Shalit; G Geisslinger; K Brune
Journal:  Br J Clin Pharmacol       Date:  1998-03       Impact factor: 4.335

Review 4.  Methods and systems to detect adverse drug reactions in hospitals.

Authors:  P A Thürmann
Journal:  Drug Saf       Date:  2001       Impact factor: 5.606

Review 5.  Evidence on interventions to reduce medical errors: an overview and recommendations for future research.

Authors:  J P Ioannidis; J Lau
Journal:  J Gen Intern Med       Date:  2001-05       Impact factor: 5.128

Review 6.  Detecting adverse events using information technology.

Authors:  David W Bates; R Scott Evans; Harvey Murff; Peter D Stetson; Lisa Pizziferri; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2003 Mar-Apr       Impact factor: 4.497

7.  Comparison of three pharmacovigilance algorithms in the ICU setting: a retrospective and prospective evaluation of ADRs.

Authors:  Sandra L Kane-Gill; Elizabeth A Forsberg; Margaret M Verrico; Steven M Handler
Journal:  Drug Saf       Date:  2012-08-01       Impact factor: 5.606

8.  Impact of vendor computerized physician order entry in community hospitals.

Authors:  Alexander A Leung; Carol Keohane; Mary Amato; Steven R Simon; Michael Coffey; Nathan Kaufman; Bismarck Cadet; Gordon Schiff; Eyal Zimlichman; Diane L Seger; Catherine Yoon; Peter Song; David W Bates
Journal:  J Gen Intern Med       Date:  2012-01-21       Impact factor: 5.128

9.  Development of the Leapfrog methodology for evaluating hospital implemented inpatient computerized physician order entry systems.

Authors:  P M Kilbridge; E M Welebob; D C Classen
Journal:  Qual Saf Health Care       Date:  2006-04

10.  Practitioners' views on computerized drug-drug interaction alerts in the VA system.

Authors:  Yu Ko; Jacob Abarca; Daniel C Malone; Donna C Dare; Doug Geraets; Antoun Houranieh; William N Jones; W Paul Nichol; Gregory P Schepers; Michelle Wilhardt
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

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