Rationale for withholding professional resuscitation in emergency medical system-attended out-of-hospital cardiac arrest

Yap, Justin; Haines, Morgan; Nowroozpoor, Armin; Armour, Richard; Luongo, Allessandra; Sidhu, Gurwinder; Scheuermeyer, Frank; Hutton, Jacob; Helmer, Jennie; Bolster, Jennifer; Puyat, Joseph H.; Christenson, Jim; Grunau, Brian

doi:10.1016/j.resuscitation.2021.12.010

Cited by 11 publications

(1 citation statement)

References 26 publications

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“… 7. , 8. One intervention that has been proposed to address the problem of unwitnessed OHCA is to integrate the use of health sensors (technologies that measure physiological parameters for monitoring, diagnosis, or assessment of health conditions) into the emergency response system, such that the cessation of circulation experienced in cardiac arrest would trigger activation of the emergency response system.…”

Section: Introductionmentioning

confidence: 99%

Sensor technologies to detect out-of-hospital cardiac arrest: A systematic review of diagnostic test performance

et al. 2022

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Section: Introductionmentioning

confidence: 99%

Sensor technologies to detect out-of-hospital cardiac arrest: A systematic review of diagnostic test performance

et al. 2022

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Wearable devices for out‐of‐hospital cardiac arrest: A population survey on the willingness to adhere

Lingawi,

Hutton,

Khalili

et al. 2024

JACEP Open

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ObjectivesWhen 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.MethodsData 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.ResultsThe 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.ConclusionIndividuals 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.

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Cardiorespiratory Sensors and Their Implications for Out-of-Hospital Cardiac Arrest Detection: A Systematic Review

Lingawi,

Hutton,

Khalili

et al. 2024

Ann Biomed Eng

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Rationale for withholding professional resuscitation in emergency medical system-attended out-of-hospital cardiac arrest

Cited by 11 publications

References 26 publications

Sensor technologies to detect out-of-hospital cardiac arrest: A systematic review of diagnostic test performance

Sensor technologies to detect out-of-hospital cardiac arrest: A systematic review of diagnostic test performance

Wearable devices for out‐of‐hospital cardiac arrest: A population survey on the willingness to adhere

Cardiorespiratory Sensors and Their Implications for Out-of-Hospital Cardiac Arrest Detection: A Systematic Review

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