Literature DB >> 8528848

Effect of an automated, nursing unit-based drug-dispensing device on medication errors.

J M Borel1, K L Rascati.   

Abstract

The effect of an automated drug-dispensing system on medication error rates was studied. Disguised observations were made on nursing units just before (phase 1) and two months after (phase 2) the implementation of Medstation Rx (Pyxis, San Diego, CA) at a 600-bed hospital. Information gathered included the time of drug administration, the time the medication as ordered to be given, a description of what happened during administration of the dose, and the type of medication error, if any. During phase 1 there were 873 observations and 148 medication errors, for an error rate of 16.9%. During phase 2 the error rate was 10.4% (97 errors in 929 observations). In both study phases, most of the errors were wrong-time errors. The mean +/- S.D. difference between actual and scheduled administration times was 34.5 +/- 48.9 minutes in phase 1 and 30.1 +/- 31.6 minutes in phase 2. Both the decrease in the error rate and the decrease in the departure from scheduled administration times were statistically significant. Medstation Rx was associated with a reduction in the rate of medication errors at a large hospital.

Mesh:

Year:  1995        PMID: 8528848     DOI: 10.1093/ajhp/52.17.1875

Source DB:  PubMed          Journal:  Am J Health Syst Pharm        ISSN: 1079-2082            Impact factor:   2.637


  21 in total

1.  Using information technology to reduce rates of medication errors in hospitals.

Authors:  D W Bates
Journal:  BMJ       Date:  2000-03-18

Review 2.  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

3.  Penetration of medication safety technology in community hospitals.

Authors:  Glen T Schumock; Vinit P Nair; Jamie M Finley; Richard K Lewis
Journal:  J Med Syst       Date:  2003-12       Impact factor: 4.460

4.  Improving patient safety by identifying side effects from introducing bar coding in medication administration.

Authors:  Emily S Patterson; Richard I Cook; Marta L Render
Journal:  J Am Med Inform Assoc       Date:  2002 Sep-Oct       Impact factor: 4.497

5.  [Not Available].

Authors:  Lionel Brisseau; Jean-François Bussières; Denis Lebel; Suzanne Atkinson; Louise Robinette; Sylvie Fortin; Michel Lemay
Journal:  Can J Hosp Pharm       Date:  2011-03

6.  Medication administration errors in nursing homes using an automated medication dispensing system.

Authors:  Patricia M L A van den Bemt; Jetske C Idzinga; Hans Robertz; Dennis Groot Kormelink; Neske Pels
Journal:  J Am Med Inform Assoc       Date:  2009-04-23       Impact factor: 4.497

7.  Safeguarding the process of drug administration with an emphasis on electronic support tools.

Authors:  Hanna M Seidling; Anette Lampert; Kristina Lohmann; Julia T Schiele; Alexander J F Send; Diana Witticke; Walter E Haefeli
Journal:  Br J Clin Pharmacol       Date:  2013-09       Impact factor: 4.335

8.  Prevalence of medication administration errors in two medical units with automated prescription and dispensing.

Authors:  Carmen Guadalupe Rodriguez-Gonzalez; Ana Herranz-Alonso; Maria Luisa Martin-Barbero; Esther Duran-Garcia; Maria Isabel Durango-Limarquez; Paloma Hernández-Sampelayo; Maria Sanjurjo-Saez
Journal:  J Am Med Inform Assoc       Date:  2011-09-02       Impact factor: 4.497

9.  Critical Evaluation of Pharmacy Automation and Robotic Systems: A Call to Action.

Authors:  Anthony M Boyd; Bruce W Chaffee
Journal:  Hosp Pharm       Date:  2018-07-09

Review 10.  Drug-related problems in hospitals: a review of the recent literature.

Authors:  Anita Krähenbühl-Melcher; Raymond Schlienger; Markus Lampert; Manuel Haschke; Jürgen Drewe; Stephan Krähenbühl
Journal:  Drug Saf       Date:  2007       Impact factor: 5.606

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