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
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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.</p><p><strong>Methods: </strong> Forty-six resident physicians were randomized to lead a simulated code team using the AHA pockets cards (<i>N</i> = 22) or the guided app (<i>N</i> = 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 <i>t</i>-tests and Fisher's exact tests.</p><p><strong>Results: </strong> App users showed significantly higher ROSC rate (50 vs. 18%; <i>p</i> = 0.024), correct thrombolytic administration (54 vs. 23%; <i>p</i> = 0.029), backboard use (96 vs. 27%; <i>p</i> < 0.001), end-tidal CO2 monitoring (58 vs. 27%; <i>p</i> = 0.033), and confidence compared with baseline (1.0 vs 0.3; <i>p</i> = 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.</p><p><strong>Conclusion: </strong> 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.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":"15 4","pages":"798-807"},"PeriodicalIF":2.1000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11446628/pdf/","citationCount":"0","resultStr":"{\"title\":\"An Advanced Cardiac Life Support Application Improves Performance during Simulated Cardiac Arrest.\",\"authors\":\"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\",\"doi\":\"10.1055/s-0044-1788979\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong> 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.</p><p><strong>Methods: </strong> Forty-six resident physicians were randomized to lead a simulated code team using the AHA pockets cards (<i>N</i> = 22) or the guided app (<i>N</i> = 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 <i>t</i>-tests and Fisher's exact tests.</p><p><strong>Results: </strong> App users showed significantly higher ROSC rate (50 vs. 18%; <i>p</i> = 0.024), correct thrombolytic administration (54 vs. 23%; <i>p</i> = 0.029), backboard use (96 vs. 27%; <i>p</i> < 0.001), end-tidal CO2 monitoring (58 vs. 27%; <i>p</i> = 0.033), and confidence compared with baseline (1.0 vs 0.3; <i>p</i> = 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.</p><p><strong>Conclusion: </strong> 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. 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引用次数: 0
摘要
目的:心肺骤停培训和管理方面的差异导致院内心脏骤停的结果不一致。现有的临床决策辅助工具,如美国心脏协会(AHA)高级心血管生命支持(ACLS)袖珍卡和第三方移动应用程序,往往缺乏全面的管理指导。我们开发了一款新颖的、具有指导意义的 ACLS 移动应用程序,并通过随机对照试验,根据 2020 年美国心脏协会 ACLS 指南评估了用户在模拟心脏骤停过程中的表现:方法:46 名住院医师被随机分配到使用 AHA 口袋卡(22 人)或指导型应用程序(24 人)的模拟代码小组。主要结果是自发循环成功恢复(ROSC)。次要结果包括代码组长的压力和信心、AHA ACLS 指南的遵守情况以及错误。由 22 名住院医师组成的焦点小组提供了反馈意见。统计分析包括双侧 t 检验和费雪精确检验:结果:与对照组相比,App 用户的 ROSC 率(50 vs. 18%; p = 0.024)、正确溶栓用药率(54 vs. 23%; p = 0.029)、背板使用率(96 vs. 27%; p p = 0.033)和信心指数(1.0 vs. 0.3; p = 0.005)均明显高于对照组。由 22 名住院医师组成的焦点小组一致表示愿意使用该应用程序,82% 的人更喜欢它而不是 AHA 袖珍卡:我们的指导性 ACLS 应用程序显示出提高用户信心和遵守 AHA ACLS 指南的潜力,并可能有助于院内心脏骤停管理的标准化。进一步的验证研究对确认其在临床实践中的有效性至关重要。
An Advanced Cardiac Life Support Application Improves Performance during Simulated Cardiac Arrest.
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.
期刊介绍:
ACI is the third Schattauer journal dealing with biomedical and health informatics. It perfectly complements our other journals Öffnet internen Link im aktuellen FensterMethods of Information in Medicine and the Öffnet internen Link im aktuellen FensterYearbook of Medical Informatics. The Yearbook of Medical Informatics being the “Milestone” or state-of-the-art journal and Methods of Information in Medicine being the “Science and Research” journal of IMIA, ACI intends to be the “Practical” journal of IMIA.