Department of Anesthesiology, Amsterdam UMC, Amsterdam, Netherlands.
Helicopter Emergency Medical Service Lifeliner 1, Amsterdam, Netherlands.
JMIR Hum Factors. 2024 Jul 25;11:e57574. doi: 10.2196/57574.
Out-of-hospital cardiac arrest (OHCA) is a leading cause of mortality in the developed world. Timely detection of cardiac arrest and prompt activation of emergency medical services (EMS) are essential, yet challenging. Automated cardiac arrest detection using sensor signals from smartwatches has the potential to shorten the interval between cardiac arrest and activation of EMS, thereby increasing the likelihood of survival.
This cross-sectional survey study aims to investigate users' perspectives on aspects of continuous monitoring such as privacy and data protection, as well as other implications, and to collect insights into their attitudes toward the technology.
We conducted a cross-sectional web-based survey in the Netherlands among 2 groups of potential users of automated cardiac arrest technology: consumers who already own a smartwatch and patients at risk of cardiac arrest. Surveys primarily consisted of closed-ended questions with some additional open-ended questions to provide supplementary insight. The quantitative data were analyzed descriptively, and a content analysis of the open-ended questions was conducted.
In the consumer group (n=1005), 90.2% (n=906; 95% CI 88.1%-91.9%) of participants expressed an interest in the technology, and 89% (n=1196; 95% CI 87.3%-90.7%) of the patient group (n=1344) showed interest. More than 75% (consumer group: n= 756; patient group: n=1004) of the participants in both groups indicated they were willing to use the technology. The main concerns raised by participants regarding the technology included privacy, data protection, reliability, and accessibility.
The vast majority of potential users expressed a strong interest in and positive attitude toward automated cardiac arrest detection using smartwatch technology. However, a number of concerns were identified, which should be addressed in the development and implementation process to optimize acceptance and effectiveness of the technology.
院外心搏骤停（OHCA）是发达国家主要的死亡原因之一。及时发现心搏骤停并迅速启动紧急医疗服务（EMS）至关重要，但也极具挑战性。使用智能手表的传感器信号进行自动心搏骤停检测有可能缩短心搏骤停与 EMS 激活之间的时间间隔，从而提高生存的可能性。
本横断面调查研究旨在调查用户对连续监测方面的看法，如隐私和数据保护，以及其他影响，并收集他们对该技术的态度的见解。
我们在荷兰对 2 组可能使用自动心搏骤停技术的潜在用户进行了横断面网络调查：已经拥有智能手表的消费者和有发生心搏骤停风险的患者。调查主要由封闭式问题组成，还有一些开放式问题提供补充见解。对定量数据进行描述性分析，并对开放式问题进行内容分析。
在消费者组（n=1005）中，90.2%（n=906；95%CI 88.1%-91.9%）的参与者对该技术表示感兴趣，89%（n=1196；95%CI 87.3%-90.7%）的患者组（n=1344）表示有兴趣。两个组中超过 75%（消费者组：n=756；患者组：n=1004）的参与者表示愿意使用该技术。参与者对该技术提出的主要关注包括隐私、数据保护、可靠性和可及性。
绝大多数潜在用户对使用智能手表技术进行自动心搏骤停检测表现出强烈的兴趣和积极的态度。然而，确定了一些关注的问题，这些问题应在开发和实施过程中加以解决，以优化该技术的接受度和有效性。
