Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2010 Dec;32(6):822-8.
doi: 10.1007/s11096-010-9445-2. Epub 2010 Oct 21.

Evaluation of three brands of drug interaction software for use in intensive care units

Affiliations
Comparative Study

Evaluation of three brands of drug interaction software for use in intensive care units

Adriano Max Moreira Reis et al. Pharm World Sci. 2010 Dec.

Abstract

Objective: To evaluate drug interaction software programs and determine their accuracy in identifying drug-drug interactions that may occur in intensive care units. Setting The study was developed in Brazil.

Method: Drug interaction software programs were identified through a bibliographic search in PUBMED and in LILACS (database related to the health sciences published in Latin American and Caribbean countries). The programs' sensitivity, specificity, and positive and negative predictive values were determined to assess their accuracy in detecting drug-drug interactions. The accuracy of the software programs identified was determined using 100 clinically important interactions and 100 clinically unimportant ones. Stockley's Drug Interactions 8th edition was employed as the gold standard in the identification of drug-drug interaction.

Main outcome: Sensitivity, specificity, positive and negative predictive values.

Results: The programs studied were: Drug Interaction Checker (DIC), Drug-Reax (DR), and Lexi-Interact (LI). DR displayed the highest sensitivity (0.88) and DIC showed the lowest (0.69). A close similarity was observed among the programs regarding specificity (0.88-0.92) and positive predictive values (0.88-0.89). The DIC had the lowest negative predictive value (0.75) and DR the highest (0.91).

Conclusion: The DR and LI programs displayed appropriate sensitivity and specificity for identifying drug-drug interactions of interest in intensive care units. Drug interaction software programs help pharmacists and health care teams in the prevention and recognition of drug-drug interactions and optimize safety and quality of care delivered in intensive care units.

PubMed Disclaimer

References

    1. J Am Med Inform Assoc. 2007 Jan-Feb;14(1):56-64 - PubMed
    1. Intensive Care Med. 2009 Apr;35(4):603-12 - PubMed
    1. J Manag Care Pharm. 2006 Jun;12(5):383-9 - PubMed
    1. Clin Chest Med. 1999 Jun;20(2):385-99, ix - PubMed
    1. Pharmacoeconomics. 1993 Oct;4(4):235-9 - PubMed

Publication types

MeSH terms

Substances

LinkOut - more resources