Evaluating the Acceptability and Feasibility of Collecting Passive Smartphone Data to Estimate Psychological Functioning in U.S. Service Members and Veterans: A Pilot Study

Lauren S Schultz; Mikela A Murphy; Macayla Donegan; Jonathan Knights; Justin T Baker; Matthew F Thompson; Andrew J Waters; Michael Roy; Joshua C Gray

doi:10.1093/milmed/usae144

Evaluating the Acceptability and Feasibility of Collecting Passive Smartphone Data to Estimate Psychological Functioning in U.S. Service Members and Veterans: A Pilot Study

Mil Med. 2024 Apr 15:usae144. doi: 10.1093/milmed/usae144. Online ahead of print.

Authors

Lauren S Schultz¹, Mikela A Murphy¹, Macayla Donegan², Jonathan Knights², Justin T Baker², Matthew F Thompson¹, Andrew J Waters¹, Michael Roy³, Joshua C Gray¹

Affiliations

¹ Department of Medical and Clinical Psychology, Uniformed Services University, Bethesda, MD 20814, USA.
² Mindstrong Health, Inc., Mountain View, CA 94041, USA.
³ Department of Medicine and Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814, USA.

PMID: 38619334
DOI: 10.1093/milmed/usae144

Abstract

Introduction: This study investigated the acceptability and feasibility of digital phenotyping in a military sample with a history of traumatic brain injury and co-occurring psychological and cognitive symptoms. The first aim was to evaluate the acceptability of digital phenotyping by (1a) quantifying the proportion of participants willing to download the app and rates of dropout and app discontinuation and (1b) reviewing the stated reasons for both refusing and discontinuing use of the app. The second aim was to investigate technical feasibility by (2a) characterizing the amount and frequency of transferred data and (2b) documenting technical challenges. Exploratory aim 3 sought to leverage data on phone and keyboard interactions to predict if a participant (a) is depressed and (b) has depression that improves over the course of the study.

Materials and methods: A passive digital phenotyping app (Mindstrong Discovery) functioned in the background of the participants' smartphones and passively collected phone usage and typing kinematics data.

Results: Fifteen out of 16 participants (93.8%) consented to install the app on their personal smartphone devices. Four participants (26.7%) discontinued the use of the app partway through the study, primarily because of keyboard usability and technical issues. Fourteen out of 15 participants (93.3%) had at least one data transfer, and the median number of days with data was 40 out of a possible 57 days. The exploratory machine learning models predicting depression status and improvement in depression performed better than chance.

Conclusions: The findings of this pilot study suggest that digital phenotyping is acceptable and feasible in a military sample and provides support for future larger investigations of this technology.

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