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. 2016 Dec;25(4):309-323.
doi: 10.1002/mpr.1502. Epub 2016 Apr 1.

Behavioral activities collected through smartphones and the association with illness activity in bipolar disorder

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Behavioral activities collected through smartphones and the association with illness activity in bipolar disorder

Maria Faurholt-Jepsen et al. Int J Methods Psychiatr Res. 2016 Dec.

Abstract

Smartphones are useful in symptom-monitoring in bipolar disorder (BD). Objective smartphone data reflecting illness activity could facilitate early treatment and act as outcome in efficacy trials. A total of 29 patients with BD presenting with moderate to severe levels of depressive and manic symptoms used a smartphone-based self-monitoring system during 12 weeks. Objective smartphone data on behavioral activities were collected. Symptoms were clinically assessed every second week using the Hamilton Depression Rating Scale and the Young Mania Rating Scale. Objective smartphone data correlated with symptom severity. The more severe the depressive symptoms (1) the longer the smartphone's screen was "on"/day, (2) more received incoming calls/day, (3) fewer outgoing calls/day were made, (4) less answered incoming calls/day, (5) the patients moved less between cell towers IDs/day. Conversely, the more severe the manic symptoms (1) more outgoing text messages/day sent, (2) the phone calls/day were longer, (3) the fewer number of characters in incoming text messages/day, (4) the lower duration of outgoing calls/day, (5) the patients moved more between cell towers IDs/day. Further, objective smartphone data were able to discriminate between affective states. Objective smartphone data reflect illness severity, discriminates between affective states in BD and may facilitate the cooperation between patient and clinician. Copyright © 2016 John Wiley & Sons, Ltd.

Keywords: automatically generated objective data; bipolar disorder; illness activity; objective outcome measure; smartphone.

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Figures

Figure 1
Figure 1
An example of the graphs presented to the patients with visualization of the data acquired by the MONARCA system.

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References

    1. Ankers D., Jones S.H. (2009) Objective assessment of circadian activity and sleep patterns in individuals at behavioural risk of hypomania. Journal of Clinical Psychology, 65, 1071–1086. - PubMed
    1. Bardram J., Frost M., Szanto K., Margu G. (2012) The MONARCA self‐assessment system: a persuasive personal monitoring system for bipolar patients In Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium (IHI ’12), pp. 21–30, New York: ACM.
    1. Barnes C.W., Hadzi‐Pavlovic D., Wilhelm K., Mitchell P.B. (2015) A web‐based preventive intervention program for bipolar disorder: outcome of a 12‐months randomized controlled trial. Journal of Affective Disorders, 174, 485–492. - PubMed
    1. Bauer M., Grof P., Gyulai L., Rasgon N., Glenn T., Whybrow P.C. (2004) Using technology to improve longitudinal studies: self‐reporting with ChronoRecord in bipolar disorder. Bipolar Disorders, 6, 67–74. - PubMed
    1. Beigel A., Murphy D.L. (1971) Unipolar and bipolar affective illness. Differences in clinical characteristics accompanying depression. Archives of General Psychiatry, 24, 215–220. - PubMed

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