TY - JOUR
T1 - An Advanced Cardiac Life Support Application Improves Performance during Simulated Cardiac Arrest
AU - Senter-Zapata, Michael
AU - Neel, Dylan V.
AU - Colocci, Isabella
AU - Alblooshi, Afaf
AU - AlRadini, Faten Abdullah M.
AU - Quach, Brian
AU - Lyon, Samuel
AU - Coll, Maxwell
AU - Chu, Andrew
AU - Rainer, Katharine W.
AU - Waters, Beth
AU - Baugh, Christopher W.
AU - Dias, Roger D.
AU - Zhang, Haipeng
AU - Eyre, Andrew
AU - Isselbacher, Eric
AU - Conley, Jared
AU - Carlile, Narath
N1 - Publisher Copyright:
Thieme. All rights reserved.
PY - 2024/8/1
Y1 - 2024/8/1
N2 - 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.
AB - 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.
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U2 - 10.1055/s-0044-1788979
DO - 10.1055/s-0044-1788979
M3 - Article
C2 - 39357878
AN - SCOPUS:85205527829
SN - 1869-0327
VL - 15
SP - 798
EP - 807
JO - Applied Clinical Informatics
JF - Applied Clinical Informatics
IS - 4
ER -