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Relevance of Reversible Causes of Out-of-Hospital Cardiac Arrest: The "REBECCA" Interactive Checklist
Martina Hermann1,2, Arthur Stoiber1, Andreas Schmid1
1Medical University of Vienna, Department of Anaesthesia, Intensive Care Medicine and Pain Medicine, Clinical Division of General Anaesthesia and Intensive Care Medicine, 1090 Vienna, Austria.
Insights
Emergency physicians found the REBECCA mobile checklist useful for identifying reversible causes of out-of-hospital cardiac arrest (OHCA). The digital tool, integrated with point-of-care ultrasound, was preferred over paper versions, potentially reducing cognitive load during critical events.
Area of Science:
- Emergency Medicine
- Cardiology
- Medical Informatics
Background:
- Improving survival in out-of-hospital cardiac arrests (OHCAs) relies on adequate cardiopulmonary resuscitation (CPR), defibrillation, and treating reversible causes.
- The Advanced Life Support (ALS) algorithm incorporates reversible causes of cardiac arrest.
Purpose of the Study:
- To develop an interactive mobile checklist, REBECCA (REversible Causes of Cardiac Arrest checklist Application), for identifying reversible causes of OHCA.
- To evaluate the usability and usefulness of the REBECCA checklist among emergency physicians.
Main Methods:
- A mixed-methods study conducted in Vienna, Austria, involving emergency physicians.
- Development of the REBECCA checklist using a participatory design approach with a focus group.
- Assessment of usability and applicability via structured questionnaires.
Main Results:
- 85% of emergency physicians found the REBECCA checklist helpful, despite confidence in their experience.
- A majority preferred the digital checklist over paper versions and valued its integration with point-of-care ultrasound (POCUS).
- Most participants did not require more detail on causes, though some favored information on intoxication and electrolyte disorders.
Conclusions:
- The REBECCA checklist is perceived as helpful by most emergency physicians, irrespective of training level.
- The findings highlight the potential of such tools to reduce cognitive load for physicians managing OHCA scenarios.
Abstract:
Background/Objectives: Adequate cardiopulmonary resuscitation (CPR), defibrillation, and treatment of reversible causes are essential for improving the survival of patients suffering from out-of-hospital cardiac arrests (OHCAs). The Advanced Life Support (ALS) algorithm includes reversible causes for cardiac arrest. This study aimed to develop an interactive mobile checklist to identify reversible causes of OHCA (REBECCA) and evaluate their usability and usefulness among emergency physicians. Methods: This mixed-methods study was conducted at the Emergency Medical Service Vienna, Austria. All participants were emergency physicians from the Medical University of Vienna. An interactive mobile checklist was developed using a participatory design approach involving a focus group of 10 emergency physicians. Usability and applicability were assessed using structured questionnaires. Descriptive statistics were used to summarize participant characteristics and evaluation outcomes. Results: Among the included participants, 70% were specialists with a median prehospital experience of 2.0 (1.0-4.3) years. Although most participants were confident about their level of professional experience with OHCA, 85% still found the checklist to be helpful. The majority of the participants preferred the digital checklist over the paper-based checklist and appreciated its integration with the point-of-care ultrasound (POCUS) application. Although the participants did not communicate a significant need for further details on most causes, a small majority favored more information on intoxication and electrolyte disorders. Conclusions: The majority of the included emergency physicians found the REBECCA checklist helpful regardless of training level, whereas almost no physician needed further detailed information on the reversible causes. Our findings underscore the potential importance of future investigations aiming to reduce the cognitive load of emergency physicians during OHCA scenarios.
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