Respiratory Knowledge Portal Computer and Phone Application to Improve Quality of Mechanical Ventilation by Reducing the Number of Ventilator Associated Events, Injury Created by the Ventilator and Unsafe Setting of Alarms.

NCT ID: NCT06737432

Last Updated: 2025-05-13

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

800 participants

Study Classification

INTERVENTIONAL

Study Start Date

2024-06-01

Study Completion Date

2026-05-31

Brief Summary

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Ventilator associated events (VAE) is a quality metric defined by 48 hours of stability followed by 48 hours of escalation of ventilator settings within the ICU. VAE have been associated with poor outcomes and increases the cost of care, yet is not easy to avoid. Operationalizing all the standards of care known to improve outcomes of those requiring mechanical ventilation in the critical care environment requires a comprehensive approach. ICU teams are encouraged to follow best practice protocols to help liberate and prevent VAEs. Yet, compliance with protocols in most ICUs is suboptimal for multiple reasons. With the advent of computerized mechanical ventilators capable of streaming data from breath to breath and biomedical integration systems (BMDI) such as Capsule (UTMB's BMDI system), software systems have been developed to help identify variances in the standard of care. Automation in near real-time ventilator data feedback has been shown to reduce the incidences of VAEs.

This quality improvement project will leverage Vyaire's Respiratory Knowledge Portal (RKP) to collect and store meaningful data regarding ventilator-associated events (VAE), alarm policy compliance, ventilator weaning, and lung protective analytics.

Goals:

1. To collect quality metrics utilizing RKP from patients requiring mechanical ventilation over a 3-4-month period for a retrospective baseline analysis.
2. Provide the RKP tool to the ICU team to determine if the use of RKP's webportal and Messenger Zebra phone app improves quality of mechanical ventilation and outcomes.
3. To determine a return on investment (ROI) for a software system like RKP.

Detailed Description

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Conditions

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Ventilation ARDS Respiratory Failure Mechanical Ventilation Ventilator-induced Lung Injury (VILI) Quality Improvement Ventilator Associated Events

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

SEQUENTIAL

Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

NONE

Monitoring 3-4 months prior to intervention or use of the software.

Study Groups

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Control

We will monitor without clinician use of the software.

Group Type NO_INTERVENTION

No interventions assigned to this group

Use of RKP

Use of RKP alerts to the standard of care.

Group Type ACTIVE_COMPARATOR

RKP Monitoring Software

Intervention Type OTHER

Use of RKP alerting and monitoring software.

Interventions

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RKP Monitoring Software

Use of RKP alerting and monitoring software.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

1. Subjects requiring invasive mechanical ventilation.
2. Subjects is in one of the monitored Galveston campus ICUs.
3. Ages 0-100

Exclusion Criteria

1. Is in an ICU not monitored by RKP.
2. Adults on high frequency ventilation (pediatric patients are NOT excluded).
3. Any patient requiring ECMO.
Maximum Eligible Age

100 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Vyaire Medical

INDUSTRY

Sponsor Role collaborator

The University of Texas Medical Branch, Galveston

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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University of Texas Medical Branch

Galveston, Texas, United States

Site Status RECRUITING

Countries

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United States

Central Contacts

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Brian K Walsh, PhD, RRT

Role: CONTACT

409-772-9283

Facility Contacts

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Brian K Walsh, PhD, RRT

Role: primary

409-772-9283

Other Identifiers

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22-0313

Identifier Type: -

Identifier Source: org_study_id

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