Saud Lingawi MEng, Jacob Hutton MSc, Mahsa Khalili PhD, Katie N. Dainty PhD, Brian Grunau MD, Babak Shadgan MD, PhD, Jim Christenson MD, Calvin Kuo PhD
{"title":"用于院外心脏骤停的可穿戴设备:关于使用意愿的人口调查","authors":"Saud Lingawi MEng, Jacob Hutton MSc, Mahsa Khalili PhD, Katie N. Dainty PhD, Brian Grunau MD, Babak Shadgan MD, PhD, Jim Christenson MD, Calvin Kuo PhD","doi":"10.1002/emp2.13268","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objectives</h3>\n \n <p>When an out-of-hospital cardiac arrest (OHCA) occurs, the first step in the chain of survival is detection. However, 75% of OHCAs are unwitnessed, representing the largest barrier to activating the chain of survival. Wearable devices have the potential to be “artificial bystanders,” detecting OHCA and alerting 9-1-1. We sought to understand factors impacting users’ willingness for continuous use of a wearable device through an online survey to inform future use of these systems for automated OHCA detection.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Data were collected from October 2022 to June 2023 through voluntary response sampling. The survey investigated user convenience and perception of urgency to understand design preferences and willingness to adhere to continuous wearable use across different hypothetical risk levels. Associations between categorical variables and willingness were evaluated through nonparametric tests. Logistic models were fit to evaluate the association between continuous variables and willingness at different hypothetical risk levels.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The survey was completed by 359 participants. Participants preferred hand-based devices (wristbands: 87%, watches: 86%, rings: 62%) and prioritized comfort (94%), cost (83%), and size (72%). Participants were more willing to adhere at higher levels of hypothetical risk. At the baseline risk of 0.1%, older individuals with prior wearable use were most willing to adhere to continuous wearable use.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Individuals were willing to continuously wear wearable devices for OHCA detection, especially at increased hypothetical risk of OHCA. Optimizing willingness is not just a matter of adjusting for user preferences, but also increasing perception of urgency through awareness and education about OHCA.</p>\n </section>\n </div>","PeriodicalId":73967,"journal":{"name":"Journal of the American College of Emergency Physicians open","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/emp2.13268","citationCount":"0","resultStr":"{\"title\":\"Wearable devices for out-of-hospital cardiac arrest: A population survey on the willingness to adhere\",\"authors\":\"Saud Lingawi MEng, Jacob Hutton MSc, Mahsa Khalili PhD, Katie N. Dainty PhD, Brian Grunau MD, Babak Shadgan MD, PhD, Jim Christenson MD, Calvin Kuo PhD\",\"doi\":\"10.1002/emp2.13268\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>When an out-of-hospital cardiac arrest (OHCA) occurs, the first step in the chain of survival is detection. However, 75% of OHCAs are unwitnessed, representing the largest barrier to activating the chain of survival. Wearable devices have the potential to be “artificial bystanders,” detecting OHCA and alerting 9-1-1. We sought to understand factors impacting users’ willingness for continuous use of a wearable device through an online survey to inform future use of these systems for automated OHCA detection.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Data were collected from October 2022 to June 2023 through voluntary response sampling. The survey investigated user convenience and perception of urgency to understand design preferences and willingness to adhere to continuous wearable use across different hypothetical risk levels. Associations between categorical variables and willingness were evaluated through nonparametric tests. Logistic models were fit to evaluate the association between continuous variables and willingness at different hypothetical risk levels.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The survey was completed by 359 participants. Participants preferred hand-based devices (wristbands: 87%, watches: 86%, rings: 62%) and prioritized comfort (94%), cost (83%), and size (72%). Participants were more willing to adhere at higher levels of hypothetical risk. At the baseline risk of 0.1%, older individuals with prior wearable use were most willing to adhere to continuous wearable use.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Individuals were willing to continuously wear wearable devices for OHCA detection, especially at increased hypothetical risk of OHCA. Optimizing willingness is not just a matter of adjusting for user preferences, but also increasing perception of urgency through awareness and education about OHCA.</p>\\n </section>\\n </div>\",\"PeriodicalId\":73967,\"journal\":{\"name\":\"Journal of the American College of Emergency Physicians open\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/emp2.13268\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the American College of Emergency Physicians open\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/emp2.13268\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"EMERGENCY MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American College of Emergency Physicians open","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/emp2.13268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EMERGENCY MEDICINE","Score":null,"Total":0}
Wearable devices for out-of-hospital cardiac arrest: A population survey on the willingness to adhere
Objectives
When an out-of-hospital cardiac arrest (OHCA) occurs, the first step in the chain of survival is detection. However, 75% of OHCAs are unwitnessed, representing the largest barrier to activating the chain of survival. Wearable devices have the potential to be “artificial bystanders,” detecting OHCA and alerting 9-1-1. We sought to understand factors impacting users’ willingness for continuous use of a wearable device through an online survey to inform future use of these systems for automated OHCA detection.
Methods
Data were collected from October 2022 to June 2023 through voluntary response sampling. The survey investigated user convenience and perception of urgency to understand design preferences and willingness to adhere to continuous wearable use across different hypothetical risk levels. Associations between categorical variables and willingness were evaluated through nonparametric tests. Logistic models were fit to evaluate the association between continuous variables and willingness at different hypothetical risk levels.
Results
The survey was completed by 359 participants. Participants preferred hand-based devices (wristbands: 87%, watches: 86%, rings: 62%) and prioritized comfort (94%), cost (83%), and size (72%). Participants were more willing to adhere at higher levels of hypothetical risk. At the baseline risk of 0.1%, older individuals with prior wearable use were most willing to adhere to continuous wearable use.
Conclusion
Individuals were willing to continuously wear wearable devices for OHCA detection, especially at increased hypothetical risk of OHCA. Optimizing willingness is not just a matter of adjusting for user preferences, but also increasing perception of urgency through awareness and education about OHCA.