Detecting and Capitalizing on Physiological Dimensions of Psychiatric Illness

Mark Matthews, Saeed Abdullah, Geri Gay, Tanzeem Choudhury

2016

Abstract

Serious mental illnesses, including bipolar disorders (BD), account for a large share of the worldwide healthcare burden—estimated at $62.7B in the U.S. alone. Bipolar disorders represent a family of common, lifelong illnesses associated with poor functional and clinical outcomes, high suicide rates, and huge societal costs. Interpersonal and Social Rhythm Therapy (IPSRT), a validated treatment for BD, helps patients lead lives characterized by greater stability of daily rhythms, using a 5 item paper-and-pencil self-monitoring instrument called the Social Rhythm Metric (SRM). IPSRT has been shown to improve patient outcomes, yet many patients struggle to monitor their daily routine or even access the treatment. In this paper we describe how biological characteristics of bipolar disorder can be taken into consideration when developing systems to detect and stabilize mood episodes. We describe the co-design of MoodRhythm, a smartphone and web app, with patients and therapists. It is designed to support patients in tracking their health passively and actively over a long period of time. MoodRhythm uses the phone’s onboard sensors to automatically track sleep and social activity patterns. We report results of a small clinical pilot with experienced IPSRT clinicians and patients with bipolar disorder and finish by describing the role physiological computing could have not just in monitoring psychiatric illnesses according to existing broad categories of diagnosis but in helping radically tailor diagnoses to each individual patient and develop interventions that take advantage of idiosyncratic characteristics of each person’s illness in order to increase patient engagement in and adherence to treatment.

References

  1. Baldessarini, R. J. & Tondo, L. 2003. Suicide risk and treatments for patients with bipolar disorder. JAMA, 290, 1517-1519.
  2. Ben-Zeev, D., Davis, K. E., Kaiser, S., Krzsos, I. & Drake, R. E. 2013. Mobile technologies among people with serious mental illness: opportunities for future services. Administration and Policy in Mental Health and Mental Health Services Research, 40, 340-343.
  3. Camargos, E. F., Louzada, F. M. & Nóbrega, O. T. 2013. Wrist actigraphy for measuring sleep in intervention studies with Alzheimer's disease patients: Application, usefulness, and challenges. Sleep medicine reviews, 17, 475-488.
  4. Craddock, N. & Sklar, P. 2013. Genetics of bipolar disorder. The Lancet, 381, 1654-1662.
  5. Ehn, P. 1993. Scandinavian design: On participation and skill. Participatory design: Principles and practices, 41-77.
  6. Frank, E., Kupfer, D. J., Thase, M. E., Mallinger, A. G., Swartz, H. A., Fagiolini, A. M., Grochocinski, V., Houck, P., Scott, J. & Thompson, W. 2005. Two-year outcomes for interpersonal and social rhythm therapy in individuals with bipolar I disorder. Archives of general psychiatry, 62, 996-1004.
  7. Geddes, J. R. & Miklowitz, D. J. 2013. Treatment of bipolar disorder. The Lancet, 381, 1672-1682.
  8. Goodwin, G. O. & Consensus Group of the British Association For, P. 2009. Evidence-based guidelines for treating bipolar disorder: revised second editionrecommendations from the British Association for Psychopharmacology. Journal of Psychopharmacology, 23, 346-388.
  9. Harris, E. C. & Barraclough, B. 1997. Suicide as an outcome for mental disorders. A meta-analysis. The British Journal of Psychiatry, 170, 205-228.
  10. Harvey, A. 2008. Sleep and circadian rhythms in bipolar disorder: seeking synchrony, harmony, and regulation. American Journal of Psychiatry, 165, 820-829.
  11. Haynes, P. L., Mcquaid, J., Ancoli-Israel, S. & Martin, J. L. 2006. Disrupting life events and the sleep-wake cycle in depression. Psychological Medicine, 36, 1363-1373.
  12. Judd, L. L., Akiskal, H. S., Schettler, P. J., Coryell, W., Endicott, J., Maser, J. D., Solomon, D. A., Leon, A. C. & Keller, M. B. 2003. A prospective investigation of the natural history of the long-term weekly symptomatic status of bipolar II disorder. Archives of General Psychiatry, 60, 261-269.
  13. Kyng, M. & Greenbaum, J. 1991. Cooperative design: bringing together the practices of users and designers. Information Systems Research.
  14. Levenson, J. & Frank, E. 2011. Sleep and circadian rhythm abnormalities in the pathophysiology of bipolar disorder. Behavioral Neurobiology of Bipolar Disorder and its Treatment. Springer.
  15. Mathers, C. D. & Loncar, D. 2006. Projections of global mortality and burden of disease from 2002 to 2030. PLoS medicine, 3, e442.
  16. Merikangas, K. R., Jin, R., He, J. & Et Al. 2011. Prevalence and correlates of bipolar spectrum disorder in the world mental health survey initiative. Archives of General Psychiatry, 68, 241-251.
  17. Moreno, C., Laje, G., Blanco, C., Jiang, H., Schmidt, A. B. & Olfson, M. 2007. National trends in the outpatient diagnosis and treatment of bipolar disorder in youth. Archives of general psychiatry, 64, 1032- 1039.
  18. Murray, C. J. & Lopez, A. D. 1996. The global burden of disease, Vol. 1. Cambridge, MA: Harvard University Press.
  19. Nusslock, R., Almeida, J. R. C., Forbes, E. E., Versace, A., Frank, E., Labarbara, E. J., Klein, C. R. & Phillips, M. L. 2012. Waiting to win: elevated striatal and orbitofrontal cortical activity during reward anticipation in euthymic bipolar disorder adults. Bipolar Disorders, 14, 249-260.
  20. Preisig, M., Bellivier, F., Fenton, B. T., Baud, P., Berney, A., Courtet, P., Hardy, P., Golaz, J., Leboyer, M. & Mallet, J. 2000. Association between bipolar disorder and monoamine oxidase A gene polymorphisms: results of a multicenter study. American Journal of Psychiatry, 157, 948-955.
  21. Prociow, P., Wac, K. & Crowe, J. 2012. Mobile psychiatry: towards improving the care for bipolar disorder. International journal of mental health systems, 6, 5.
  22. Rabbi, M., Ali, S., Choudhury, T. & Berke, E. Passive and In-Situ assessment of mental and physical well-being using mobile sensors. 2011. ACM, 385-394.
  23. Schuler, D. & Namioka, A. 1993. Participatory design: Principles and practices, CRC Press.
  24. Strakowski, S. M., Keck, P. E., Mcelroy, S. L., West, S. A., Sax, K. W., Hawkins, J. M., Kmetz, G. F., Upadhyaya, V. H., Tugrul, K. C. & Bourne, M. L. 1998. Twelve-month outcome after a first hospitalization for affective psychosis. Archives of General Psychiatry, 55, 49-55.
  25. Swartz, H. A., Frank, E., Frankel, D. R., Novick, D. & Houck, P. 2009. Psychotherapy as monotherapy for the treatment of bipolar II depression: a proof of concept study. Bipolar disorders, 11, 89-94.
  26. Voida, S., Matthews, M., Abdullah, S., Xi, M. C., Green, M., Jang, W. J., Hu, D., Weinrich, J., Patil, P. & Rabbi, M. MoodRhythm: tracking and supporting daily rhythms. Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication, 2013. ACM, 67-70.
  27. Woods, S. W. 2000. The economic burden of bipolar disease. Journal of Clinical Psychiatry.
Download


Paper Citation


in Harvard Style

Matthews M., Abdullah S., Gay G. and Choudhury T. (2016). Detecting and Capitalizing on Physiological Dimensions of Psychiatric Illness . In Proceedings of the 3rd International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-197-7, pages 98-104. DOI: 10.5220/0005952600980104


in Bibtex Style

@conference{phycs16,
author={Mark Matthews and Saeed Abdullah and Geri Gay and Tanzeem Choudhury},
title={Detecting and Capitalizing on Physiological Dimensions of Psychiatric Illness},
booktitle={Proceedings of the 3rd International Conference on Physiological Computing Systems - Volume 1: PhyCS,},
year={2016},
pages={98-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005952600980104},
isbn={978-989-758-197-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - Detecting and Capitalizing on Physiological Dimensions of Psychiatric Illness
SN - 978-989-758-197-7
AU - Matthews M.
AU - Abdullah S.
AU - Gay G.
AU - Choudhury T.
PY - 2016
SP - 98
EP - 104
DO - 10.5220/0005952600980104