Quality Improvement - Monitoring Alarm Optimization Study (QI-MAOS)

January 28, 2019 updated by: Duke University
This project aims to reduce the frequency of duplicate, false and clinically insignificant alarms in hospital units, and subsequent alarm fatigue resulting from excessive alarm frequency. The investigators will implement evidence-based guidelines for alarm optimization according to patient-population specific parameters, and evaluate alarm frequency and staff perception of alarm fatigue at baseline and 60 days after implementation of this quality improvement initiative.

Study Overview

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

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Nursing staff at selected units at Duke University Hospital

Exclusion Criteria:

  • NA

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: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Crossover Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Experimental
Hospital units where alarms have been optimized
No Intervention: Control
Hospital units where alarms remain unchanged

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Change from baseline of frequency of total alarms by hospital unit at 60 days
Time Frame: At baseline and 60 days following implementation
At baseline and 60 days following implementation

Secondary Outcome Measures

Outcome Measure
Time Frame
Change from baseline of number of alarms per bed
Time Frame: At baseline and 60 days following implementation
At baseline and 60 days following implementation
Change from baseline of number of alarms per day per bed
Time Frame: At baseline and 60 days following implementation
At baseline and 60 days following implementation
Change from baseline of perceived alarm fatigue, assessed using a questionnaire
Time Frame: At baseline and 60 days following implementation
At baseline and 60 days following implementation

Collaborators and Investigators

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

Sponsor

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

December 1, 2015

Primary Completion (Actual)

November 1, 2016

Study Completion (Actual)

November 1, 2016

Study Registration Dates

First Submitted

September 22, 2016

First Submitted That Met QC Criteria

September 23, 2016

First Posted (Estimate)

September 27, 2016

Study Record Updates

Last Update Posted (Actual)

January 30, 2019

Last Update Submitted That Met QC Criteria

January 28, 2019

Last Verified

September 1, 2016

More Information

Terms related to this study

Other Study ID Numbers

  • Pro00073369

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.

Subscribe