NCT02228694

Brief Summary

An automated dispensing cabinet (ADC) is a computerized drug storage device or cabinet designed for hospitals. ADCs allow medications to be stored and dispensed near the point of care while controlling and tracking drug distribution.This study seeks to obtain quantitative measurements of the impact of the regulated ADC System installed in select high volume units throughout the hospital.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
120

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Sep 2014

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

August 8, 2014

Completed
21 days until next milestone

First Posted

Study publicly available on registry

August 29, 2014

Completed
3 days until next milestone

Study Start

First participant enrolled

September 1, 2014

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2014

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2014

Completed
Last Updated

March 17, 2015

Status Verified

March 1, 2015

Enrollment Period

3 months

First QC Date

August 8, 2014

Last Update Submit

March 16, 2015

Conditions

Keywords

ADCPre installationPost installationSafetyTime

Outcome Measures

Primary Outcomes (1)

  • Medication Administered in Error

    Medication error rates for heparin and insulin pre-install of regulated ADC system compared to post installation. For each drug, heparin and insulin, the number of medication errors will be enumerated based on event type of the voluntary reporting event report data. For each drug, medication error rates will be calculated by dividing the number medication errors by the number of medication orders multiplied by 1,000. Comparison of medication error rates pre-install and post-install will be conducted using simple Poisson regression analysis obtained in, results of which will be expressed as incidence rate ratio (IRR) and 95% confidence intervals (CI).

    six months

Secondary Outcomes (1)

  • Timeliness of medication administration

    six months

Eligibility Criteria

Age22 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Number of Participants by Group * Children (Minor Subjects): 0 * Cognitively Impaired Participants:0 * Employees and Students: 120 * Patients: 25238 * Prisoners: 0 * Normal Healthy Volunteers: 0 * Pregnant Women-Human Fetuses: 0 * Wards: 0

You may qualify if:

  • Subjects treated at study site in units where regulated ADC System was installed where greater number of medications is administered due to patient volume per nurse assignment or where greater throughput occurs
  • Time-sensitive scheduled medications administered on units where administration includes the use of the medication label printer
  • Piperacillin and tazobactam for injection, USP (United States Pharmacopeia)
  • All IV antibiotics
  • Insulin
  • Heparin

You may not qualify if:

  • Medication administration data prior to January 1, 2013;
  • Medication administration data after March 31, 2013 through December 31, 2013;
  • Medication administration data after March 31, 2014.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Hackensack University Medical center

Hackensack, New Jersey, 07601, United States

Location

MeSH Terms

Conditions

Medication Adherence

Condition Hierarchy (Ancestors)

Patient CompliancePatient Acceptance of Health CareTreatment Adherence and ComplianceHealth BehaviorBehavior

Study Officials

  • Claudia Douglas, DNP

    Hackensack Meridian Health

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 8, 2014

First Posted

August 29, 2014

Study Start

September 1, 2014

Primary Completion

December 1, 2014

Study Completion

December 1, 2014

Last Updated

March 17, 2015

Record last verified: 2015-03

Locations