Literature DB >> 11499849

Identifying hospital admissions due to adverse drug events using a computer-based monitor.

A K Jha1, G J Kuperman, E Rittenberg, J M Teich, D W Bates.   

Abstract

BACKGROUND: Hospital admissions due to adverse drug events (ADEs) are expensive, and many may be preventable, yet few institutions have ongoing surveillance for these events.
OBJECTIVE: To evaluate the use of a computer-based ADE monitor to identify admissions due to ADEs and to measure the associated costs.
DESIGN: Prospective cohort study in one tertiary care hospital. PARTICIPANTS: All patients admitted to nine medical and surgical units in a tertiary care hospital over an 8-month period. MAIN OUTCOME MEASURE: Admissions to the hospital due to an adverse drug event.
METHODS: A computer-based monitoring program generated alerts suggesting that an ADE might be present. A trained reviewer then evaluated the record.
RESULTS: Among the 3238 admissions, 76 (2.3%, 1.4% after adjusting for sampling) were found to be caused by an ADE. Of these ADEs, 78% were severe and 28% were preventable. Estimated costs were $16,177 per ADE, and $10,375 per preventable ADE; annualized costs to the hospital were $6.3 million per year for all ADEs, and $1.2 million for preventable ADEs.
CONCLUSIONS: Many admissions were caused by ADEs, although our point estimate undoubtedly represents a lower bound. These events were mostly severe, often preventable, and expensive. The computer-based monitoring system represents a practical approach for identifying ADEs that occur in outpatients and cause admission to the hospital.

Entities:  

Mesh:

Year:  2001        PMID: 11499849     DOI: 10.1002/pds.568

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  31 in total

1.  Lack of awareness of community-acquired adverse drug reactions upon hospital admission : dimensions and consequences of a dilemma.

Authors:  Harald Dormann; Manfred Criegee-Rieck; Antje Neubert; Tobias Egger; Arnim Geise; Sabine Krebs; Thomas Schneider; Micha Levy; Eckhart Hahn; Kay Brune
Journal:  Drug Saf       Date:  2003       Impact factor: 5.606

2.  Automated detection of adverse events using natural language processing of discharge summaries.

Authors:  Genevieve B Melton; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2005-03-31       Impact factor: 4.497

Review 3.  Which drugs cause preventable admissions to hospital? A systematic review.

Authors:  R L Howard; A J Avery; S Slavenburg; S Royal; G Pipe; P Lucassen; M Pirmohamed
Journal:  Br J Clin Pharmacol       Date:  2006-06-26       Impact factor: 4.335

Review 4.  A systematic review of the performance characteristics of clinical event monitor signals used to detect adverse drug events in the hospital setting.

Authors:  Steven M Handler; Richard L Altman; Subashan Perera; Joseph T Hanlon; Stephanie A Studenski; James E Bost; Melissa I Saul; Douglas B Fridsma
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

5.  The medical office of the 21st century (MOXXI): effectiveness of computerized decision-making support in reducing inappropriate prescribing in primary care.

Authors:  Robyn Tamblyn; Allen Huang; Robert Perreault; André Jacques; Denis Roy; James Hanley; Peter McLeod; Réjean Laprise
Journal:  CMAJ       Date:  2003-09-16       Impact factor: 8.262

6.  Medication safety and knowledge-based functions: a stepwise approach against information overload.

Authors:  Andrius Patapovas; Harald Dormann; Brita Sedlmayr; Melanie Kirchner; Anja Sonst; Fabian Müller; Barbara Pfistermeister; Bettina Plank-Kiegele; Renate Vogler; Renke Maas; Manfred Criegee-Rieck; Hans-Ulrich Prokosch; Thomas Bürkle
Journal:  Br J Clin Pharmacol       Date:  2013-09       Impact factor: 4.335

7.  The impact of computerized provider order entry on medication errors in a multispecialty group practice.

Authors:  Emily Beth Devine; Ryan N Hansen; Jennifer L Wilson-Norton; N M Lawless; Albert W Fisk; David K Blough; Diane P Martin; Sean D Sullivan
Journal:  J Am Med Inform Assoc       Date:  2010 Jan-Feb       Impact factor: 4.497

8.  The relationship between study characteristics and the prevalence of medication-related hospitalizations: a literature review and novel analysis.

Authors:  Anne J Leendertse; Djurre Visser; Antoine C G Egberts; Patricia M L A van den Bemt
Journal:  Drug Saf       Date:  2010-03-01       Impact factor: 5.606

9.  Strategies for detecting adverse drug events among older persons in the ambulatory setting.

Authors:  Terry S Field; Jerry H Gurwitz; Leslie R Harrold; Jeffrey M Rothschild; Kristin Debellis; Andrew C Seger; Leslie S Fish; Lawrence Garber; Michael Kelleher; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2004-08-06       Impact factor: 4.497

10.  Comparing the effectiveness of computerized adverse drug event monitoring systems to enhance clinical decision support for hospitalized patients.

Authors:  G N Petratos; Y Kim; R S Evans; S D Williams; R M Gardner
Journal:  Appl Clin Inform       Date:  2010-09-01       Impact factor: 2.342

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