Toward a Mobile Platform for Real-world Digital Measurement of Depression: User-Centered Design, Data Quality, and Behavioral and Clinical Modeling.

Stefanie Nickels Matthew D Edwards Sarah F Poole Dale Winter Jessica Gronsbell Bella Rozenkrants David P Miller Mathias Fleck Alan McLean Bret Peterson Yuanwei Chen Alan Hwang David Rust-Smith Arthur Brant Andrew T Campbell Chen Chen Collin Walter Patricia A Areán Honor Hsin Lance J Myers William J Marks Jessica L Mega Danielle A Schlosser Andrew J Conrad Robert M Califf Menachem Fromer

Published in: JMIR mental health (2021)

This study finds a strong proof of concept for the use of a smartphone-based assessment of depression outcomes. Behavioral features derived from passive sensors and active tasks show promising correlations with a validated clinical measure of depression (PHQ-9). Future work is needed to increase scale that may permit the construction of more complex (eg, nonlinear) predictive models and better handle data missingness.

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