Augmented Reality-Cardiopulmonary Resuscitation Support for Pediatric Resuscitation | NCT07778823 | Trialant

RecruitingInterventionalNot ApplicableUpdated Aug 21, 2026

Augmented Reality-Cardiopulmonary Resuscitation Support for Pediatric Resuscitation

AR-CPR: Large-Scale Simulation-Based Testing of a Novel Augmented Reality Point of Care Chest Compression Feedback System.

Overview

Key facts that identify this study and show where it stands today.

ClinicalTrials.gov ID: NCT07778823
Lead Sponsor: Johns Hopkins UniversityOTHER
Overall Status: Recruiting
Study Type: Interventional
Phase: Not Applicable
Enrollment: 252Estimated
Last Update Posted: Aug 21, 2026Actual
Start Date: Jun 29, 2025Actual
Primary Completion Date: Mar 31, 2028Estimated
Completion Date: Jun 30, 2028Estimated

Description

What the study is about and why it is being run, in the researchers' own words.

Official Title: AR-CPR: Large-Scale Simulation-Based Testing of a Novel Augmented Reality Point of Care Chest Compression Feedback System.
Brief Summary: This study evaluates whether an augmented reality cardiopulmonary resuscitation feedback system (AR-CPR) can support health care providers in delivering high-quality chest compressions during pediatric cardiac arrest. AR-CPR provides real-time visual feedback on chest compression rate, depth, and recoil through a head-mounted augmented reality display.

In this randomized, multicenter, international, simulation-based non-inferiority study, health care providers perform chest compressions during an 18-minute simulated pediatric cardiac arrest. Participants are assigned to receive either real-time feedback from AR-CPR or coaching from a trained human CPR coach. The primary objective is to determine whether the percentage of chest compressions meeting guideline targets for both rate and depth with AR-CPR is non-inferior to that achieved with human CPR coaching.

Conditions

The medical conditions and diseases this study investigates.

Cardiac Arrest (CA)
Pediatric Cardiac Arrest (Simulated)
Cardiopulmonary Resuscitation (CPR)

Interventions

The treatments and procedures being evaluated in this study.

AR-CPR

Participation

Who can join this study and the criteria used to decide.

Ages Eligible for Study: Adult (18-64)Older Adult (65+)
Sexes Eligible for Study: All
Accepts Healthy Volunteers: Yes
Eligibility Criteria: Inclusion Criteria:

Actively credentialed pediatric emergency department or pediatric intensive care unit nurse or clinical technician at a participating study site

Current American Heart Association (AHA) Pediatric Advanced Life Support (PALS) certification

Exclusion Criteria:

Inability to physically perform chest compressions

Need for prescription corrective lenses without having those corrective lenses available at the time of study participation

Design

How the study is designed and how its participant groups are organized.

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

Contacts

The people to reach with questions about this study or how to join it.

Keith Kleinman, MDContact

kkleinm3@jh.edu410-955-5000

Locations

Where the study is run and whether each site is currently recruiting.

All Childrens HopsitalRecruiting

St. Petersburg, Florida 33701, United States

Collaborators

The organizations and people involved in this study.

Lead Sponsor: Johns Hopkins UniversityOTHER
Collaborators

Similar Studies

Other registered studies that closely resemble this one.

This prospective, multicenter, international, randomized, unblinded, non-inferiority study evaluates an augmented reality cardiopulmonary resuscitation feedback system (AR-CPR) compared with traditional human-delivered quality CPR coaching during simulated pediatric cardiac arrest. The study uses a standardized 18-minute pediatric cardiopulmonary arrest simulation conducted across eight participating institutions in the United States and Canada.

Participants are actively credentialed pediatric emergency department or intensive care unit nurses and clinical technicians with current Pediatric Advanced Life Support (PALS) certification and prior experience or training functioning as quality CPR coaches. Participants are organized into teams of one to three members and perform chest compressions on a standardized high-fidelity pediatric manikin during a simulated non-shockable cardiac arrest involving an intubated 7-year-old child. The simulation is limited to chest compression performance to isolate the effect of the feedback modality on CPR quality.

Participants are randomized at the team level to one of two study arms. In the control arm, an experienced, trained CPR coach provides real-time, goal-directed feedback based on chest compression rate, depth, and recoil. In the intervention arm, participants use AR-CPR, a head-mounted augmented reality system that provides real-time visual feedback on these same CPR performance measures. AR-CPR displays numerical and visual feedback within the participant's field of view and provides escalating goal-directed guidance when CPR performance falls outside established targets.

CPR performance data are collected using the same AR-CPR sensor system in both study arms to provide standardized objective measurement. The study evaluates whether CPR performance with AR-CPR is non-inferior to performance achieved with a trained human CPR coach. The primary measure of CPR performance is the percentage of compressions simultaneously meeting American Heart Association guideline targets for compression rate and depth. Additional assessments characterize other measures of CPR quality and participants' cognitive workload and experience with the augmented reality system.