Trial reportJMIR mHealth and uHealth2020
Mobile App to Improve House Officers' Adherence to Advanced Cardiac Life Support Guidelines: Quality Improvement Study.
Trial report in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- The impact of cognitive aids on resuscitation performance in in-hospital cardiac arrest scenarios: a systematic review and meta-analysis.Internal and emergency medicine · 2022Pooled it
- Effect of an app-guided advanced cardiac life support algorithm on teamwork, non-technical skills, and workload in simulated in-hospital cardiac arrest: a randomized controlled feasibility trial.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026Trial
- Augmented Reality-Guided Decision Support in Simulated Pediatric Cardiac Arrest: A Randomized Clinical Trial.JAMA network open · 2026Trial
- An Advanced Cardiac Life Support Application Improves Performance during Simulated Cardiac Arrest.Applied clinical informatics · 2024Trial
- Effectiveness of a Novel Tablet Application in Reducing Guideline Deviations During Pediatric Cardiac Arrest: A Randomized Clinical Trial.JAMA network open · 2023Trial
- From guidelines to the bedside: a mobile decision-support and documentation tool for adult advanced life support.Resuscitation plus · 2026Article
- Impact of an augmented reality-based decision support system on teamwork, leadership, provider workload and cognitive load during simulated cardiac arrest - a simulation-based randomized controlled trial.Advances in simulation (London, England) · 2026Article
- Perceived Usability, User Experience, and Technology Acceptance of Role-Specific Augmented Reality Decision Support Tools for Cardiac Arrest Resuscitation: Prospective Observational Pilot Study.JMIR XR and spatial computing · 2026Article
- Getting ON-TRAC, a team-centred design study of a reflexivity aid to support resuscitation teams' information sharing.Advances in simulation (London, England) · 2025Article
- Cognitive aids used in simulated resuscitation: A systematic review.Resuscitation plus · 2024Review
- ChatGPT's Performance in Cardiac Arrest and Bradycardia Simulations Using the American Heart Association's Advanced Cardiovascular Life Support Guidelines: Exploratory Study.Journal of medical Internet research · 2024Article
- The Recent Advances of Mobile Healthcare in Cardiology Practice.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2022Review
- Development and Use of a Cardiac Clinical Guideline Mobile App in Australia: Acceptability and Multi-Methods Study.JMIR formative research · 2022Article
- Validation of a Novel Mobile Application for Assessing Pediatric Tracheostomy Emergency Simulations.OTO openArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundEffective and timely delivery of cardiac arrest interventions during in-hospital cardiac arrest resuscitation is associated with greater survival. Whether a mobile app that provides timely reminders of critical interventions improves adherence to Advanced Cardiovascular Life Support (ACLS) guidelines among house officers, who may lack experience in leading resuscitations, remains unknown.
objectiveThe aim of this study was to assess the impact of a commercially available, dynamic mobile app on house officers' adherence to ACLS guidelines.
methodsAs part of a quality improvement initiative, internal medicine house officers were invited to participate and randomized to lead 2 consecutive cardiac arrest simulations, one with a novel mobile app and one without a novel mobile app. All simulations included 4 cycles of cardiopulmonary resuscitation with different cardiac arrest rhythms and were video recorded. The coprimary end points were chest compression fraction and number of correct interventions in each simulation. The secondary end point was incorrect interventions, defined as interventions not indicated by the 2015 ACLS guidelines. Paired t tests compared performance with and without the mobile app.
resultsAmong 53 house officers, 26 house officers were randomized to lead the first simulation with the mobile app, and 27 house officers were randomized to do so without the app. Use of the mobile app was associated with a higher number of correct ACLS interventions (out of 7; mean 6.2 vs 5.1; absolute difference 1.1 [95% CI 0.6 to 1.6]; P<.001) as well as fewer incorrect ACLS interventions (mean 0.3 vs 1.0; absolute difference -0.7 [95% CI -0.3 to -1.0]; P<.001). Simulations with the mobile app also had a marginally higher chest compression fraction (mean 90.9% vs 89.0%; absolute difference 1.9% [95% CI 0.6% to 3.4%]; P=.007).
conclusionsThis proof-of-concept study suggests that this novel mobile app may improve adherence to ACLS protocols, but its effectiveness on survival in real-world resuscitations remains unknown.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.