Development and Evaluation of a Smartphone-Based Measure of Social Rhythms for Bipolar Disorder
- PMID: 27358214
- PMCID: PMC6155452
- DOI: 10.1177/1073191116656794
Development and Evaluation of a Smartphone-Based Measure of Social Rhythms for Bipolar Disorder
Abstract
Dynamic psychological processes are most often assessed using self-report instruments. This places a constraint on how often and for how long data can be collected due to the burden placed on human participants. Smartphones are ubiquitous and highly personal devices, equipped with sensors that offer an opportunity to measure and understand psychological processes in real-world contexts over the long term. In this article, we present a novel smartphone approach to address the limitations of self-report in bipolar disorder where mood and activity are key constructs. We describe the development of MoodRhythm, a smartphone application that incorporates existing self-report elements from interpersonal and social rhythm therapy, a clinically validated treatment, and combines them with novel inputs from smartphone sensors. We reflect on lessons learned in transitioning from an existing self-report instrument to one that involves smartphone sensors and discuss the potential impact of these changes on the future of psychological assessment.
Keywords: IPSRT; behavioral sensing; bipolar disorder; ecological momentary assessment; mHealth; mental health; self-report.
Conflict of interest statement
Declaration of Conflicting Interests
The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: M.M., E.F., and T.C. co-founded and have equity interest in HealthRhythms. G.G. serves on the advisory board for HealthRhythms.
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References
-
- Abdullah S, Matthews M, Murnane EL, Gay G, & Choudhury T (2014, September). Towards circadian computing: Early to bed and early to rise makes some of us unhealthy and sleep deprived Paper presented at the Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Seattle, WA.
-
- Altman E (1998). Rating scales for mania: Is self-rating reliable? Journal of Affective Disorders, 50, 283–286. - PubMed
-
- Altman EG, Hedeker DR, Janicak PG, Peterson JL, & Davis JM (1994). The Clinician-Administered Rating Scale for Mania (CARS-M): Development, reliability, and validity. Biological Psychiatry, 36, 124–134. - PubMed
-
- Baldessarini RJ, & Tondo L (2003). Suicide risk and treatments for patients with bipolar disorder. Journal of the American Medical Association, 290, 1517–1519. - PubMed
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