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Designing context-aware cognitive behavioral therapy for unipolar and bipolar disorders

Published:12 September 2016Publication History

ABSTRACT

This position paper presents our preliminary design of context-aware cognitive behavioral therapy for unipolar and bipolar disorders. We report on the background for this study and the methods applied in the ongoing design process. The paper ends by presenting and discussing different design options. We hope this will be useful input for further discussion at the workshop.

References

  1. Jorge Alvarez-Lozano, Venet Osmani, Oscar Mayora, Mads Frost, Jakob Bardram, Maria Faurholt-Jepsen, and Lars V. Kessing. 2014. Tell Me Your Apps and I Will Tell You Your Mood: Correlation of Apps Usage with Bipolar Disorder State. In Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '14). ACM, New York, NY, USA, 19:1--19:7. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Jakob E. Bardram, Mads Frost, Károly Szántó, Maria Faurholt-Jepsen, Maj Vinberg, and Lars V. Kessing. 2013. Designing Mobile Health Technology for Bipolar Disorder: a Field Trial of the MONARCA system. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13). ACM, New York, NY, USA, 2627--2636. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Jakob E. Bardram, Mads Frost, Károly Szántó, and Gabriela Marcu. 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). ACM, New York, NY, USA, 21--30. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Pim Cuijpers, Annemieke Van Straten, and Lisanne Warmerdam. 2007. Behavioral activation treatments of depression: A meta-analysis. Clinical psychology review 27, 3 (2007), 318--326.Google ScholarGoogle Scholar
  5. Afsaneh Doryab, Mads Frost, Maria Faurholt-Jepsen, Lars V. Kessing, and Jakob E. Bardram. 2015. Impact factor analysis: combining prediction with parameter ranking to reveal the impact of behavior on health outcome. Personal and Ubiquitous Computing 19, 2 (2015), 355--365. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. M Faurholt-Jepsen, M Frost, C Ritz, EM Christensen, AS Jacoby, RL Mikkelsen, U Knorr, JE Bardram, M Vinberg, and LV Kessing. 2015a. Daily electronic self-monitoring in bipolar disorder using smartphones--the MONARCA I trial: a randomized, placebo-controlled, single-blind, parallel group trial. Psychological medicine (2015), 1--14.Google ScholarGoogle Scholar
  7. Maria Faurholt-Jepsen, Maj Vinberg, Mads Frost, Ellen Margrethe Christensen, Jakob E. Bardram, and Lars V. Kessing. 2015b. Smartphone data as an electronic biomarker of illness activity in bipolar disorder. Bipolar Disorders 17, 7 (2015), 715--728.Google ScholarGoogle ScholarCross RefCross Ref
  8. Alize J Ferrari, Fiona J Charlson, Rosana E Norman, Scott B Patten, Greg Freedman, Christopher JL Murray, Theo Vos, and Harvey A Whiteford. 2013. Burden of depressive disorders by country, sex, age, and year: findings from the global burden of disease study 2010. PLoS Med 10, 11 (2013), e1001547.Google ScholarGoogle ScholarCross RefCross Ref
  9. Mads Frost, Afsaneh Doryab, Maria Faurholt-Jepsen, Lars Vedel Kessing, and Jakob E. Bardram. 2013. Supporting disease insight through data analysis: refinements of the MONARCA self-assessment system. In Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous computing (UbiComp '13). ACM, New York, NY, USA, 133--142. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Agnes Grunerbl, Amir Muaremi, Venet Osmani, Gernot Bahle, Stefan Ohler, Gerhard Troster, Oscar Mayora, Christian Haring, and Paul Lukowicz. 2015. Smartphone-based recognition of states and state changes in bipolar disorder patients. Biomedical and Health Informatics, IEEE Journal of 19, 1 (2015), 140--148.Google ScholarGoogle Scholar
  11. J Henderson, G Henderson, J Lavikainen, and David McDaid. 2004. Actions against depression: improving mental health and well being by combating the adverse health, social and economic consequences of depression. European Commission.Google ScholarGoogle Scholar
  12. Lewis L Judd, Hagop S Akiskal, Pamela J Schettler, Jean Endicott, Jack Maser, David A Solomon, Andrew C Leon, John A Rice, and Martin B Keller. 2002. The long-term natural history of the weekly symptomatic status of bipolar I disorder. Archives of general psychiatry 59, 6 (2002), 530--537.Google ScholarGoogle Scholar
  13. Lars Vedel Kessing. 2005. Diagnostic stability in bipolar disorder in clinical practise as according to ICD-10. Journal of affective disorders 85, 3 (2005), 293--299.Google ScholarGoogle ScholarCross RefCross Ref
  14. Ronald C Kessler, Patricia Berglund, Olga Demler, Robert Jin, Doreen Koretz, Kathleen R Merikangas, A John Rush, Ellen E Walters, and Philip S Wang. 2003. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). Jama 289, 23 (2003), 3095--3105.Google ScholarGoogle ScholarCross RefCross Ref
  15. G. Marcu, J. E. Bardram, and S. Gabrielli. 2011. A Framework for Overcoming Challenges in Designing Persuasive Monitoring Systems for Mental Illness. In Proceedings of Pervasive Health 2011. IEEE Press, 1--10.Google ScholarGoogle ScholarCross RefCross Ref
  16. Richard Morriss, Catherine A Bolton, James P McCarthy, Max Marshall, Paula R Williamson, and Ashley P Jones. 2004. Interventions for helping people recognise early signs of recurrence in depression. The Cochrane Library (2004).Google ScholarGoogle ScholarCross RefCross Ref
  17. J Olesen, A Gustavsson, Mikael Svensson, H-U Wittchen, and B Jönsson. 2012. The economic cost of brain disorders in Europe. European Journal of Neurology 19, 1 (2012), 155--162.Google ScholarGoogle ScholarCross RefCross Ref
  18. World Health Organization and others. 2015. Mental Health: A Call to Action by World Health Ministers. 2001. URL: http://www. who.int/mental_health/media/en/249. pdf {accessed 2015-07-09}{WebCite Cache} (2015).Google ScholarGoogle Scholar
  19. Mashfiqui Rabbi, Min Hane Aung, Mi Zhang, and Tanzeem Choudhury. 2015. MyBehavior: Automatic Personalized Health Feedback from User Behavior and Preference using Smartphones. In Proceedings of the 2015 ACM Conference on Ubiquitous Computing. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Philip S Wang, Gregory Simon, and Ronald C Kessler. 2003. The economic burden of depression and the cost-effectiveness of treatment. International journal of methods in psychiatric research 12, 1 (2003), 22--33.Google ScholarGoogle ScholarCross RefCross Ref
  21. Sarah E Watts, Adrienne Turnell, Natalie Kladnitski, Jill M Newby, and Gavin Andrews. 2015. Treatment-as-usual (TAU) is anything but usual: A meta-analysis of CBT versus TAU for anxiety and depression. Journal of affective disorders 175 (2015), 152--167.Google ScholarGoogle ScholarCross RefCross Ref
  22. Harvey A Whiteford, Louisa Degenhardt, Jürgen Rehm, Amanda J Baxter, Alize J Ferrari, Holly E Erskine, Fiona J Charlson, Rosana E Norman, Abraham D Flaxman, Nicole Johns, and others. 2013. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. The Lancet 382, 9904 (2013), 1575--1586.Google ScholarGoogle ScholarCross RefCross Ref

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