Literature DB >> 20838333

Automated drug dispensing system reduces medication errors in an intensive care setting.

Claire Chapuis1, Matthieu Roustit, Gaëlle Bal, Carole Schwebel, Pascal Pansu, Sandra David-Tchouda, Luc Foroni, Jean Calop, Jean-François Timsit, Benoît Allenet, Jean-Luc Bosson, Pierrick Bedouch.   

Abstract

OBJECTIVES: We aimed to assess the impact of an automated dispensing system on the incidence of medication errors related to picking, preparation, and administration of drugs in a medical intensive care unit. We also evaluated the clinical significance of such errors and user satisfaction.
DESIGN: Preintervention and postintervention study involving a control and an intervention medical intensive care unit.
SETTING: Two medical intensive care units in the same department of a 2,000-bed university hospital. PATIENTS: Adult medical intensive care patients.
INTERVENTIONS: After a 2-month observation period, we implemented an automated dispensing system in one of the units (study unit) chosen randomly, with the other unit being the control.
MEASUREMENTS AND MAIN RESULTS: The overall error rate was expressed as a percentage of total opportunities for error. The severity of errors was classified according to National Coordinating Council for Medication Error Reporting and Prevention categories by an expert committee. User satisfaction was assessed through self-administered questionnaires completed by nurses. A total of 1,476 medications for 115 patients were observed. After automated dispensing system implementation, we observed a reduced percentage of total opportunities for error in the study compared to the control unit (13.5% and 18.6%, respectively; p<.05); however, no significant difference was observed before automated dispensing system implementation (20.4% and 19.3%, respectively; not significant). Before-and-after comparisons in the study unit also showed a significantly reduced percentage of total opportunities for error (20.4% and 13.5%; p<.01). An analysis of detailed opportunities for error showed a significant impact of the automated dispensing system in reducing preparation errors (p<.05). Most errors caused no harm (National Coordinating Council for Medication Error Reporting and Prevention category C). The automated dispensing system did not reduce errors causing harm. Finally, the mean for working conditions improved from 1.0±0.8 to 2.5±0.8 on the four-point Likert scale.
CONCLUSIONS: The implementation of an automated dispensing system reduced overall medication errors related to picking, preparation, and administration of drugs in the intensive care unit. Furthermore, most nurses favored the new drug dispensation organization.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20838333     DOI: 10.1097/CCM.0b013e3181f8569b

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  33 in total

Review 1.  Interventions to reduce medication errors in adult intensive care: a systematic review.

Authors:  Elizabeth Manias; Allison Williams; Danny Liew
Journal:  Br J Clin Pharmacol       Date:  2012-09       Impact factor: 4.335

2.  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

3.  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

4.  National burden of preventable adverse drug events associated with inpatient injectable medications: healthcare and medical professional liability costs.

Authors:  Betsy J Lahue; Bruce Pyenson; Kosuke Iwasaki; Helen E Blumen; Susan Forray; Jeffrey M Rothschild
Journal:  Am Health Drug Benefits       Date:  2012-11

5.  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 6.  Impact of interventions designed to reduce medication administration errors in hospitals: a systematic review.

Authors:  Richard N Keers; Steven D Williams; Jonathan Cooke; Tanya Walsh; Darren M Ashcroft
Journal:  Drug Saf       Date:  2014-05       Impact factor: 5.606

7.  Assessment of Pharmacy Information System Performance in Three Hospitals in Eastern Province, Saudi Arabia.

Authors:  Azza El Mahalli; Sahar H El-Khafif; Wid Yamani
Journal:  Perspect Health Inf Manag       Date:  2016-01-01

Review 8.  Decentralized automated dispensing devices: systematic review of clinical and economic impacts in hospitals.

Authors:  Nicole W Tsao; Clifford Lo; Michele Babich; Kieran Shah; Nick J Bansback
Journal:  Can J Hosp Pharm       Date:  2014-03

9.  Impact of technological innovation on a nursing home performance and on the medication-use process safety.

Authors:  Chantal Baril; Viviane Gascon; Christel Brouillette
Journal:  J Med Syst       Date:  2014-03-14       Impact factor: 4.460

10.  Approaches to outpatient pharmacy automation: a systematic review.

Authors:  Yilin Sng; Chin Kheng Ong; Yi Feng Lai
Journal:  Eur J Hosp Pharm       Date:  2018-03-29
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.