Utilizing passive sensing data to provide personalized psychological care in low-resource settings.

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dc.citation.issue118
dc.citation.volume4
dc.contributor.authorByanjankar P
dc.contributor.authorPoudyal A
dc.contributor.authorKohrt BA
dc.contributor.authorMaharjan SM
dc.contributor.authorHagaman A
dc.contributor.authorvan Heerden A
dc.coverage.spatialUnited States
dc.date.accessioned2024-08-04T21:56:19Z
dc.date.available2024-08-04T21:56:19Z
dc.date.issued2020
dc.description.abstractBackground: With the growing ubiquity of smartphones and wearable devices, there is an increased potential of collecting passive sensing data in mobile health. Passive data such as physical activity, Global Positioning System (GPS), interpersonal proximity, and audio recordings can provide valuable insight into the lives of individuals. In mental health, these insights can illuminate behavioral patterns, creating exciting opportunities for mental health service providers and their clients to support pattern recognition and problem identification outside of formal sessions. In the Sensing Technologies for Maternal Depression Treatment in Low Resource Settings (StandStrong) project, our aim was to build an mHealth application to facilitate the delivery of psychological treatments by lay counselors caring for adolescent mothers with depression in Nepal. Methods: This paper describes the development of the StandStrong platform comprising the StandStrong Counselor application, and a cloud-based processing system, which can incorporate any tool that generates passive sensing data. We developed the StandStrong Counselor application that visualized passively collected GPS, proximity, and activity data. In the app, GPS data displays as heat maps, proximity data as charts showing the mother and child together or apart, and mothers’ activities as activity charts. Lay counselors can use the StandStrong application during counseling sessions to discuss mothers’ behavioral patterns and clinical progress over the course of a five-week counseling intervention. Achievement Awards based on collected data can also be automatically generated and sent to mothers. Additionally, messages can be sent from counselors to mother’s personal phones through the StandStrong platform. Discussion: The StandStrong platform has the potential to improve the quality and effectiveness of psychological services delivered by non-specialists in diverse global settings.
dc.description.confidentialfalse
dc.format.pagination118-
dc.identifier.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/33709058
dc.identifier.citationByanjankar P, Poudyal A, Kohrt BA, Maharjan SM, Hagaman A, van Heerden A. (2020). Utilizing passive sensing data to provide personalized psychological care in low-resource settings.. Gates Open Res. 4. 118. (pp. 118-).
dc.identifier.doi10.12688/gatesopenres.13117.2
dc.identifier.eissn2572-4754
dc.identifier.elements-typejournal-article
dc.identifier.issn2572-4754
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/71181
dc.languageeng
dc.publisherF1000 Research Ltd
dc.relation.isPartOfGates Open Res
dc.rights(c) 2020 The Author/s
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectPassive sensing data
dc.subjectbehavioral disorders
dc.subjectlow resource settings
dc.subjectmobile health
dc.subjectmother-child interaction
dc.subjectpostpartum depression
dc.subjectpsychotherapy
dc.titleUtilizing passive sensing data to provide personalized psychological care in low-resource settings.
dc.typeJournal article
pubs.elements-id441646
pubs.organisational-groupCollege of Health
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