Predicting Engagement Patterns With Connected Wearable Devices in a Health System: Survival Analysis

The ongoing development of new sensors and algorithms presents opportunities to expand the capabilities of wearable devices, making them even more integral to health care delivery. It is important to quantify and enhance engagement to maximize the benefits of this technology and inform future use of the technology to improve health outcomes.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2025-07-21
DOI
https://doi.org/10.2196/78507
Citations
1
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
1.54
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article

Predicting Engagement Patterns With Connected Wearable Devices in a Health System: Survival Analysis

Joshua M. Pevnick, Michael Sobolev, Mitchell Kamrava, Ray Duncan et al.
1 citations
Journal of Medical Internet Research
Digital Mental Health Interventions
1.54
article

Predicting Engagement Patterns With Connected Wearable Devices in a Health System: Survival Analysis

Joshua M. Pevnick, Michael Sobolev, Mitchell Kamrava, Ray Duncan, Gillian Gresham, Allistair Clark
article en
1 citations

Abstract

The ongoing development of new sensors and algorithms presents opportunities to expand the capabilities of wearable devices, making them even more integral to health care delivery. It is important to quantify and enhance engagement to maximize the benefits of this technology and inform future use of the technology to improve health outcomes.

Journal of Medical Internet ResearchVol. 27
Cedars-Sinai Medical Center (US)
Openalex Percentile: Top 15%
Digital Mental Health Interventions
1.54
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