Detection Medication Administration Errors Using Bar-code and RFID Technology (DREAM) (DREAM)

March 12, 2018 updated by: Assistance Publique - Hôpitaux de Paris

Effect of Bar-code-assisted Medication Administration on Medication Error Rates: a Controlled Randomized Multicentre Trial

Serious medication administration errors are common in hospitals. Various interventions were developed to help prevention of such errors such as bar-code technology. Investigators aimed to study the effect of bar-code-assisted medication administration (BCMA) system on the rate of medication errors in two hospitals.

They will conduct a randomized controlled trial in 6 care units of two hospitals in Paris, France. Each unit will be randomized in either the control group or the intervention group using the bar-code system to help drug administration. The observation method will be used to evaluate the error rates in the 2 groups at baseline and when BCMA will be implanted. Nurses of the unit will be randomized to determine who will be observed during the administration rounds.

Considering the results of a passed observational study in 4 units (Berdot, BMC Health Serv Research 2012) and the results of the study by Poon and al. (NEJM 2010), investigators estimated that 5.981 TOE (Total Opportunities for Errors) are needed to detect a relative reduction of 45% of error rate.

Study Overview

Detailed Description

The ADIM system (Aide a la Distribution Informatisee des Medicaments) consists of 2 machines with photographic reconnaissance and readers: one for preparation assistance that can be placed at the pharmacy or in the clinical service and one to assist the administration by the nurse in the clinical service.

The system ADIM preparation consists of a working area with 2 reader devices (a RFID reader and a bar code reader) and a touch screen . It allows selection from the list of patients, the patient's prescription for which the preparation will be made. It is linked to the drug data base.

The system ADIM administration is composed of a laptop with touch screen, 2 readers (a RFID reader and a barcode reader) , the elements needed to care and a work plan and drawers containing unit dose drugs for patients for a specific nurse. The nurse scans her/his badge, the patient's wristband and each dose administered and prepared by the pharmacy. If the dose is not prepared by the pharmacy, the nurse takes the dose in the automat cabinet. The nurse scans the drug's barcode or select on the touch screen the drug and the required dose of the drug. In case of discrepancy with the prescription, there is a visual alert. However, the alert can be override by the nurse if she/he gives a justification.

Study Type

Interventional

Phase

  • Not Applicable

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

14 years to 56 years (Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Nurses of the 6 care units who have drugs to deliver during medication administration rounds will be included

Exclusion Criteria:

  • Nurses who refuse to be observed during medication administration rounds and nurses replacement that did not work usually in the studied units will not be included.

Medication administrations during emergencies (e.g., cardiopulmonary resuscitation) will also be excluded from this study.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: bar-code-assisted administration
during administration rounds, nurses will use the BCMA system to help preventing administration errors

Implementation of ADIM system (Aide a la Distribution Informatisee des Medicaments) which consists of 2 machines with photographic reconnaissance and readers: one for preparation assistance that can be placed at the pharmacy or in the clinical service and one to assist the administration by the nurse in the clinical service.

In case of discrepancy with the prescription, there is a visual alert. However, the alert can be override by the nurse if she/he gives a justification.

Other Names:
  • ADIM preparation
  • ADIM administration
No Intervention: control
during administration rounds, nurses will administer drugs as usual

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Medication administration errors rate
Time Frame: one month after the intervention
Investigators will use the direct-observation method to measure error rates. Observers will shadow staff nurses while administering drugs to patients, without knowing the physician's medication orders, and will record details about the administration. After completing the observation session, medication administration errors will be assessed, by two senior pharmacists, blinded to the unit allocation, by comparing the observed medication administered to the medication intended for that patient. The rate of medication administration errors will be calculated by dividing the number of errors by the total opportunities for errors (TOE). The TOE is defined as the sum of observed administrations and omitted medications. As wrong-time errors are generally considered less severe, overall error rate will be calculated without this type of error.
one month after the intervention

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
type of errors
Time Frame: one month after the intervention
Each administration error will be classified by the two senior pharmacists according to the type of error using the ASHP classification in 9 categories. Wrong-time error is defined as an administration that is early or late by more than 1 hour.
one month after the intervention
Severity of error
Time Frame: One month after intervention
Each error will be classified by a multidisciplinary committee according to the potential harm using the NCCMERP classification.
One month after intervention
Satisfaction of nurses
Time Frame: One month after intervention
Satisfaction with the bar-code system will be assessed using a validated questionnaire. It will be filled anonymously by nurses at the end of the observation period in the unit. Evaluation of administration rounds time will be studied also to evaluate satisfaction with the system.
One month after intervention
Relevance of the system
Time Frame: One month after intervention
Relevance of the system will be assessed by studying the system alerts: false negative rates, rates of modifications in preparation/administration of drugs in case of system alerts, rates of unjustified or wrong alerts. During the observation in the intervention group, number and causes of non-use of the bar-code system will be assessed.
One month after intervention

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Chair: Brigitte Sabatier, PharmD, PhD, Hôpital Européen Georges Pompidou

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

September 1, 2016

Primary Completion (Anticipated)

December 1, 2017

Study Completion (Anticipated)

December 1, 2017

Study Registration Dates

First Submitted

December 19, 2014

First Submitted That Met QC Criteria

December 19, 2014

First Posted (Estimate)

December 25, 2014

Study Record Updates

Last Update Posted (Actual)

March 14, 2018

Last Update Submitted That Met QC Criteria

March 12, 2018

Last Verified

March 1, 2018

More Information

Terms related to this study

Other Study ID Numbers

  • K121202

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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