Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2016 Aug;23(4):472-483.
doi: 10.1177/1073191116656794.

Development and Evaluation of a Smartphone-Based Measure of Social Rhythms for Bipolar Disorder

Affiliations
Review

Development and Evaluation of a Smartphone-Based Measure of Social Rhythms for Bipolar Disorder

Mark Matthews et al. Assessment. 2016 Aug.

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.

PubMed Disclaimer

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.

Figures

Figure 1.
Figure 1.
The paper-based Social Rhythm Metric (SRM)–5 instrument.
Figure 2.
Figure 2.
Bipolar symptoms and potential smartphone measures.
Figure 3.
Figure 3.
MoodRhythm’s self-report screen.
Figure 4.
Figure 4.
MoodRhythm’s feedback screen.

Similar articles

Cited by

References

    1. Abdullah S, Matthews M, Frank E, Doherty G, Gay G, & Choudhury T (2016). Automatic detection of social rhythms in bipolar disorder. Journal of the American Medical Informatics Association. Advance online publication. doi:10.1093/jamia/ocv200 - DOI - PMC - PubMed
    1. 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.
    1. Altman E (1998). Rating scales for mania: Is self-rating reliable? Journal of Affective Disorders, 50, 283–286. - PubMed
    1. 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
    1. Baldessarini RJ, & Tondo L (2003). Suicide risk and treatments for patients with bipolar disorder. Journal of the American Medical Association, 290, 1517–1519. - PubMed