Journal article
The effortless assessment of risk states (EARS) Tool: An interpersonal approach to mobile sensing
MN Lind, ML Byrne, G Wicks, AM Smidt, NB Allen
Jmir Mental Health | JMIR PUBLICATIONS, INC | Published : 2018
DOI: 10.2196/10334
Abstract
Background: To predict and prevent mental health crises, we must develop new approaches that can provide a dramatic advance in the effectiveness, timeliness, and scalability of our interventions. However, current methods of predicting mental health crises (eg, clinical monitoring, screening) usually fail on most, if not all, of these criteria. Luckily for us, 77% of Americans carry with them an unprecedented opportunity to detect risk states and provide precise life-saving interventions. Smartphones present an opportunity to empower individuals to leverage the data they generate through their normal phone use to predict and prevent mental health crises. Objective: To facilitate the collectio..
View full abstractGrants
Awarded by Stress Measurement Network, US National Institute on Aging
Awarded by US National Institute of Mental Health K01 Award
Funding Acknowledgements
This work was supported by a grant from the Stress Measurement Network, US National Institute on Aging (R24AG048024). MLB is supported by a US National Institute of Mental Health K01 Award (K01MH111951). The authors would like to thank Benjamin W Nelson and Melissa D Latham for their contributions to this manuscript. The authors also thank Liesel Hess and Justin Swanson for their early contributions to the programming of the EARS tool. Finally, the authors thank the Obama White House 2016 Opportunity Project for facilitating the further development of the EARS tool.