An Advanced Cardiac Life Support Application Improves Performance during Simulated Cardiac Arrest

  • Michael Senter-Zapata
  • , Dylan V. Neel
  • , Isabella Colocci
  • , Afaf Alblooshi
  • , Faten Abdullah M. Alradini
  • , Brian Quach
  • , Samuel Lyon
  • , Maxwell Coll
  • , Andrew Chu
  • , Katharine W. Rainer
  • , Beth Waters
  • , Christopher W. Baugh
  • , Roger D. Dias
  • , Haipeng Zhang
  • , Andrew Eyre
  • , Eric Isselbacher
  • , Jared Conley
  • , Narath Carlile

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Objectives ?Variability in cardiopulmonary arrest training and management leads to inconsistent outcomes during in-hospital cardiac arrest. Existing clinical decision aids, such as American Heart Association (AHA) advanced cardiovascular life support (ACLS) pocket cards and third-party mobile apps, often lack comprehensive management guidance. We developed a novel, guided ACLS mobile app and evaluated user performance during simulated cardiac arrest according to the 2020 AHA ACLS guidelines via randomized controlled trial. Methods ?Forty-six resident physicians were randomized to lead a simulated code team using the AHA pockets cards (N = 22) or the guided app (N = 24). The primary outcome was successful return of spontaneous circulation (ROSC). Secondary outcomes included code leader stress and confidence, AHA ACLS guideline adherence, and errors. A focus group of 22 residents provided feedback. Statistical analysis included two-sided t -tests and Fisher's exact tests. Results ?App users showed significantly higher ROSC rate (50 vs. 18%; p = 0.024), correct thrombolytic administration (54 vs. 23%; p = 0.029), backboard use (96 vs. 27%; p < 0.001), end-tidal CO2 monitoring (58 vs. 27%; p = 0.033), and confidence compared with baseline (1.0 vs 0.3; p = 0.005) compared with controls. A focus group of 22 residents indicated unanimous willingness to use the app, with 82% preferring it over AHA pocket cards. Conclusion ?Our guided ACLS app shows potential to improve user confidence and adherence to the AHA ACLS guidelines and may help to standardize in-hospital cardiac arrest management. Further validation studies are essential to confirm its efficacy in clinical practice.

Original languageEnglish
Pages (from-to)798-807
Number of pages10
JournalApplied Clinical Informatics
Volume15
Issue number4
DOIs
Publication statusPublished - Oct 2 2024

Keywords

  • ACLS
  • cardiac arrest
  • clinical decision support
  • iOS
  • mobile app

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Health Information Management

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