Format

Send to

Choose Destination

See 1 citation found by title matching your search:

Ment Health Phys Act. 2018 Mar;14:136-139. doi: 10.1016/j.mhpa.2018.04.003. Epub 2018 Apr 18.

Smartphone-Based Passive Assessment of Mobility in Depression: Challenges and Opportunities.

Author information

1
Department of Psychiatry & Behavioral Sciences, University of Washington, 1959 NE Pacific St. Box 356560, Seattle, WA 98195, USA.
2
Department of Biomedical Informatics and Medical Education, University of Washington, 1959 NE Pacific St. Box 358047, Seattle, WA 98195, USA.
3
Sage Bionetworks, 1100 Fairview Ave N, M1-C119, Seattle, WA 98115, USA.

Abstract

Advances in technology have ushered in exciting potential for smartphone sensors to inform mental health care. This commentary addresses the practical challenges of collecting smartphone-based physical activity data. Using data (N = 353) from a large scale, fully remote randomized clinical trial for depression, we discuss findings and limitations associated with using passively collected mobility data to make inferences about depressive symptom severity. We highlight a range of issues in associating mobility data with mental health symptoms, including a high degree of variability, data featurization, granularity, and sparsity. Given the considerable efforts toward leveraging technology in mental health care, it is important to consider these challenges to optimize assessment and guide best practices. Clinical Trials.gov identifier: NCT01808976.

KEYWORDS:

depression; mobile health (mHealth); mobility; passive data collection; physical activity; smartphone

PMID:
30123324
PMCID:
PMC6095666
[Available on 2019-03-01]
DOI:
10.1016/j.mhpa.2018.04.003

Supplemental Content

Loading ...
Support Center