[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100652774":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":24,"centralContacts":28,"locations":37,"responsibleParty":158,"collaborators":160,"id":178,"slug":179,"hasResults":180,"nctId":181,"briefTitle":182,"officialTitle":183,"acronym":14,"eligibilityCriteria":184,"healthyVolunteers":185,"sex":186,"minAge":187,"maxAge":12,"enrollmentInfo":188,"targetDuration":12,"studyType":191,"phases":192,"briefSummary":194,"conditions":195,"keywords":199,"overallStatus":40,"whyStopped":12,"lastUpdateSubmitDate":209,"lastUpdatePostDateStruct":210,"startDateStruct":213,"completionDateStruct":215,"leadSponsor":217,"locationsCount":218},{"fullName":5,"class":6},"Johns Hopkins University","OTHER",[8,13],{"label":9,"type":10,"description":11,"interventionNames":12},"Quality CPR Coaching","NO_INTERVENTION","Participants receive real-time CPR performance feedback from a trained human CPR coach during an 18-minute simulated pediatric cardiac arrest. The CPR coach uses real-time compression rate, depth, and recoil data to provide goal-directed prompts based on Pediatric Advanced Life Support (PALS) targets, positive reinforcement for high-quality CPR, and guidance for compressor changes.",null,{"label":14,"type":15,"description":16,"interventionNames":17},"AR-CPR","EXPERIMENTAL","Participants use the AR-CPR system during an 18-minute simulated pediatric cardiac arrest. AR-CPR provides real-time visual feedback on chest compression rate, depth, and recoil through a head-mounted augmented reality display. The system displays numerical values and visual cues and provides goal-directed instructions when CPR performance falls outside established targets.",[18],"Device: AR-CPR",[20],{"type":21,"name":14,"description":22,"armGroupLabels":23,"otherNames":12},"DEVICE","AR-CPR is a real-time augmented reality CPR feedback system designed to guide chest compression performance during pediatric cardiac arrest. The system uses a compression sensor containing an inertial measurement unit (IMU) and force-sensitive resistor (FSR) connected to a microcontroller. Sensor data are relayed to a Raspberry Pi 5 microcomputer running custom AR-CPR Coach software, which calculates chest compression rate, depth, and recoil. These metrics are transmitted wirelessly to a Vuzix M400 head-mounted display. The augmented reality interface provides numerical values and visual cues within the user's field of view. When performance is outside established targets, the system provides qualitative feedback and, for persistent deviations, escalates to explicit goal-directed instructions.",[14],[25],{"name":26,"affiliation":5,"role":27},"Jutin Jeffers, MD","PRINCIPAL_INVESTIGATOR",[29,34],{"name":30,"role":31,"phone":32,"phoneExt":12,"email":33},"Keith Kleinman, MD","CONTACT","410-955-5000","kkleinm3@jh.edu",{"name":35,"role":31,"phone":32,"phoneExt":12,"email":36},"Justin Jeffers, MD","jjeffers@jhmi.edu",[38,57,69,83,98,113,128,142],{"facility":39,"status":40,"city":41,"state":42,"zip":43,"country":44,"countryCode":45,"cosmosGeoPoint":46,"geoPoint":51,"contacts":52},"All Childrens Hopsital","RECRUITING","St. Petersburg","Florida","33701","United States","US",{"type":47,"coordinates":48},"Point",[49,50],-82.67927,27.77086,{"lat":50,"lon":49},[53],{"name":54,"role":31,"phone":55,"phoneExt":12,"email":56},"Alyssa Rake, MD","727-898-7451","arake1@jh.edu",{"facility":58,"status":40,"city":59,"state":60,"zip":61,"country":44,"countryCode":45,"cosmosGeoPoint":62,"geoPoint":66,"contacts":67},"Johns Hopkins Children's Center","Baltimore","Maryland","21287",{"type":47,"coordinates":63},[64,65],-76.61219,39.29038,{"lat":65,"lon":64},[68],{"name":30,"role":31,"phone":32,"phoneExt":12,"email":33},{"facility":70,"status":40,"city":71,"state":71,"zip":72,"country":44,"countryCode":45,"cosmosGeoPoint":73,"geoPoint":77,"contacts":78},"Columbia University Vagelos College of Physicians and Surgeons","New York","10032",{"type":47,"coordinates":74},[75,76],-74.00597,40.71427,{"lat":76,"lon":75},[79],{"name":80,"role":31,"phone":81,"phoneExt":12,"email":82},"David Kessler, MD","212-305-2862","dk2592@cumc.columbia.edu",{"facility":84,"status":40,"city":85,"state":86,"zip":87,"country":44,"countryCode":45,"cosmosGeoPoint":88,"geoPoint":92,"contacts":93},"Childrens Hospital of Philadelphia","Philadelphia","Pennsylvania","19104",{"type":47,"coordinates":89},[90,91],-75.16362,39.95238,{"lat":91,"lon":90},[94],{"name":95,"role":31,"phone":96,"phoneExt":12,"email":97},"Brian Lee, MD","215-590-1000","leeb6@chop.edu",{"facility":99,"status":40,"city":100,"state":101,"zip":102,"country":44,"countryCode":45,"cosmosGeoPoint":103,"geoPoint":107,"contacts":108},"Brown\u002FHasbro Children's Hospital","Providence","Rhode Island","02903",{"type":47,"coordinates":104},[105,106],-71.41283,41.82399,{"lat":106,"lon":105},[109],{"name":110,"role":31,"phone":111,"phoneExt":12,"email":112},"Frank Overly, MD","401-444-4000","frank.overly@brownphysicians.org",{"facility":114,"status":40,"city":115,"state":116,"zip":117,"country":44,"countryCode":45,"cosmosGeoPoint":118,"geoPoint":122,"contacts":123},"University of Texas Southwestern Medical center\u002F Children's Health of Dallas","Dallas","Texas","75235",{"type":47,"coordinates":119},[120,121],-96.80667,32.78306,{"lat":121,"lon":120},[124],{"name":125,"role":31,"phone":126,"phoneExt":12,"email":127},"Neethu Chandran, MD","214-456-7000","Neethu.Chandran@UTSouthwestern.edu",{"facility":129,"status":40,"city":130,"state":116,"zip":131,"country":44,"countryCode":45,"cosmosGeoPoint":132,"geoPoint":136,"contacts":137},"Texas Childrens","Houston","77030",{"type":47,"coordinates":133},[134,135],-95.36327,29.76328,{"lat":135,"lon":134},[138],{"name":139,"role":31,"phone":140,"phoneExt":12,"email":141},"Julie McCaw, MD","832-824-1000","jxmccaw@texaschildrens.org",{"facility":143,"status":40,"city":144,"state":145,"zip":12,"country":146,"countryCode":147,"cosmosGeoPoint":148,"geoPoint":152,"contacts":153},"The hospital for sick children","Toronto","Ontario","Canada","CA",{"type":47,"coordinates":149},[150,151],-79.39864,43.70643,{"lat":151,"lon":150},[154],{"name":155,"role":31,"phone":156,"phoneExt":12,"email":157},"Jabeen Fayyaz, MD","416-813-1500","jabeen.fayyaz@gmail.com",{"type":159,"investigatorFullName":12,"investigatorTitle":12,"investigatorAffiliation":12,"oldNameTitle":12,"oldOrganization":12},"SPONSOR",[161,163,165,167,169,171,173,175],{"name":162,"class":6},"The Hospital for Sick Children",{"name":164,"class":6},"Columbia University",{"name":166,"class":6},"Brown University",{"name":168,"class":6},"Children's Hospital of Philadelphia",{"name":170,"class":6},"Johns Hopkins All Children's Hospital",{"name":172,"class":6},"Children's Medical Center Dallas",{"name":174,"class":6},"Baylor College of Medicine",{"name":176,"class":177},"Agency for Healthcare Research and Quality (AHRQ)","FED","100652774","augmented-reality-cardiopulmonary-resuscitation-support-for-pediatric-resuscitation-100652774",false,"NCT07778823","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.","Inclusion Criteria:\n\n* Actively credentialed pediatric emergency department or pediatric intensive care unit nurse or clinical technician at a participating study site\n* Current American Heart Association (AHA) Pediatric Advanced Life Support (PALS) certification\n\nExclusion Criteria:\n\n* Inability to physically perform chest compressions\n* Need for prescription corrective lenses without having those corrective lenses available at the time of study participation",true,"ALL","18 Years",{"count":189,"type":190},252,"ESTIMATED","INTERVENTIONAL",[193],"NA","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.\n\nIn 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.",[196,197,198],"Cardiac Arrest (CA)","Pediatric Cardiac Arrest (Simulated)","Cardiopulmonary Resuscitation (CPR)",[200,201,202,203,204,205,206,207,208],"augmented reality","cardiopulmonary resuscitation","pediatric cardiac arrest","cpr quality","chest compressions","cpr coaching","real-time feedback","pediatric advanced life support","simulation","2026-08-18",{"date":211,"type":212},"2026-08-21","ACTUAL",{"date":214,"type":212},"2025-06-29",{"date":216,"type":190},"2028-06-30",{"name":5,"class":6},8]