A methodological proof-of-concept of a data-driven, personalized, blended digital health intervention for suicidal thoughts and behaviors: A case series

PRECISE is an example of a blended digital health interventions that capitalizes on time series data to personalize interventions for suicidal thoughts and behaviors. Incorporating real-time data and idiographic models to inform clinical decision making are promising tools to improve suicide care. Lessons learned and future directions for implementation are discussed.

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Publication Details

Journal
Internet Interventions
Published
2026-02-16
DOI
https://doi.org/10.1016/j.invent.2026.100917
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
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article

A methodological proof-of-concept of a data-driven, personalized, blended digital health intervention for suicidal thoughts and behaviors: A case series

Kevin S. Kuehn, Katherine T. Foster, Colin A. Depp, Raeanne C. Moore et al.
Internet Interventions
Mental Health Research Topics
article

A methodological proof-of-concept of a data-driven, personalized, blended digital health intervention for suicidal thoughts and behaviors: A case series

Kevin S. Kuehn, Katherine T. Foster, Colin A. Depp, Raeanne C. Moore, Lindsey S. Aguilar
article en

Abstract

PRECISE is an example of a blended digital health interventions that capitalizes on time series data to personalize interventions for suicidal thoughts and behaviors. Incorporating real-time data and idiographic models to inform clinical decision making are promising tools to improve suicide care. Lessons learned and future directions for implementation are discussed.

Internet InterventionsVol. 43
University of Washington (US), University of California San Diego (US)
Good health and well-being
Openalex Percentile: Top 56%
Mental Health Research Topics
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