Literature DB >> 14552850

A tiered approach is more cost effective than traditional pharmacist-based review for classifying computer-detected signals as adverse drug events.

Carol Hope1, J Marc Overhage, Andrew Seger, Evgenia Teal, Vera Mills, Julie Fiskio, Tejal K Gandhi, David W Bates, Michael D Murray.   

Abstract

OBJECTIVE: To develop a cost-efficient method for identifying adverse drug events (ADEs) and medication errors (MEs) identified using outpatient electronic medical records within ambulatory settings.
DESIGN: Comparison of sensitivity and cost of "traditional" pharmacist based approach to identifying ADEs and MEs during a 4 month period with a tiered approach.
RESULTS: The proportion of computer generated signals analyzed identified as ADEs were similar using the two approaches while the number of MEs was nearly double with tiered reviews suggesting the same or better sensitivity. Traditional pharmacist review cost $68.70 US dollars to detect an ADE and tiered approach cost only $42.40.
CONCLUSION: Tiered review of ADEs and MEs by personnel with increasing clinical capability is more cost-efficient than pharmacist review.

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Year:  2003        PMID: 14552850     DOI: 10.1016/s1532-0464(03)00059-5

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  7 in total

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Review 2.  Improving patient safety through the systematic evaluation of patient outcomes.

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5.  Improving reporting of adverse drug reactions: Systematic review.

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Journal:  Clin Epidemiol       Date:  2009-08-09       Impact factor: 4.790

6.  Using prospective clinical surveillance to identify adverse events in hospital.

Authors:  Alan J Forster; Jim R Worthington; Steven Hawken; Michael Bourke; Fraser Rubens; Kaveh Shojania; Carl van Walraven
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Review 7.  Economic Evaluation of Pharmacist-Led Digital Health Interventions: A Systematic Review.

Authors:  Taehwan Park; Hyemin Kim; Seunghyun Song; Scott K Griggs
Journal:  Int J Environ Res Public Health       Date:  2022-09-22       Impact factor: 4.614

  7 in total

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