Author:
Hirano, Mari
Ogura, Kanako
Kitahara, Mizuho
Sakamoto, Daisuke
Shimoyama, Haruhiko
Abstract:
Most of computerized cognitive behavioral therapy targeted restoration and few have targeted primary prevention. The purpose of this study is to obtain the knowledge for further development on preventive mental healthcare application. We developed a personal mental healthcare application which aimed to give users the chance to manage their mental health by self-monitoring and regulating their behavior. Through the 30-day field trial, the results showed improvement of mood score through conducting of suggested action, and the depressive mood of the participants was significantly decreased after the trial. The possibility of application and further problem was confirmed.
Document: https://journals.sagepub.com/doi/10.1177/2055102917707185
References:
Andrews, G, Cuijpers, P, Craske, MG. (2010) Computer therapy for the anxiety and depressive disorders is effective, acceptable and practical health care: A meta-analysis. PLoS ONE 5(10): e13196.
Google Scholar | Crossref | Medline | ISI
Bardram, JE, Frost, M, Faurholt-Jepsen, M. (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 2013), Paris, 27 April–2 May, pp. 2627–2636. New York: ACM.
Google Scholar | Crossref
Bardram, JE, Frost, M, Szántó, K. (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 2012), Miami, FL, 28–30 January, pp. 21–30. New York: ACM.
Google Scholar | Crossref
Bauer, M, Grof, P, Rasgon, N. (2006) Mood charting and technology: New approach to monitoring patients with mood disorders. Current Psychiatry Reviews 2: 423–429.
Google Scholar | Crossref
Bickmore, TW, Mitchell, SE, Jack, BW. (2010) Response to a relational agent by hospital patients with depressive symptoms. Interacting with Computers 22: 289–298.
Google Scholar | Crossref | Medline | ISI
Birney, AJ, Gunn, R, Russell, JK. (2016) MoodHacker mobile Web app with email for adults to self-manage mild-to-moderate depression: Randomized controlled trial. JMIR mHealth and uHealth 4(1): e8.
Google Scholar | Crossref | Medline | ISI
Burns, MN, Begale, M, Duffecy, J. (2011) Harnessing context sensing to develop a mobile intervention for depression. Journal of Medical Internet Research 13(3): e55.
Google Scholar | Crossref | Medline | ISI
Butler, AC, Chapman, JE, Forman, EM. (2006) The empirical status of cognitive-behavioral therapy: A review of meta-analyses. Clinical Psychology Review 26: 17–31.
Google Scholar | Crossref | Medline | ISI
Chinman, M, Hassell, J, Magnabosco, J. (2007) The feasibility of computerized patient self-assessment at mental health clinics. Administration and Policy in Mental Health 34: 401–409.
Google Scholar | Crossref | Medline | ISI
Christensen, H, Griffiths, KM, Jorm, AF (2004) Delivering interventions for depression by using the internet: Randomised controlled trial. BMJ 328: 265.
Google Scholar | Crossref | Medline
Clarke, G, Eubanks, D, Reid, E. (2005) Overcoming depression on the Internet (ODIN) (2): A randomized trial of a self-help depression skills program with reminders. Journal of Medical Internet Research 7: e16.
Google Scholar | Crossref | Medline | ISI
Cuijpers, P, Van Straten, A, Smit, F (2005) Preventing the incidence of new cases of mental disorders. The Journal of Nervous and Mental Disease 193: 119–125.
Google Scholar | Crossref | Medline | ISI
De la Vega, R, Roset, R, Galan, S. (2016) Fibroline: A mobile app for improving the quality of life of young people with fibromyalgia. Journal of Health Psychology. Epub ahead of print 24 May. DOI: 10.1177/1359105316650509.
Google Scholar | SAGE Journals | ISI
Dennis, TA, O’Toole, LJ (2014) Mental health on the go: Effects of a gamified attention-bias modification mobile application in trait-anxious adults. Clinical Psychological Science 2(5): 576–590.
Google Scholar | SAGE Journals
Diamond, G, Levy, S, Bevans, KB. (2010) Development, validation, and utility of Internet-based, behavioral health screen for adolescents. Pediatrics 126: e163–e170.
Google Scholar | Crossref | Medline | ISI
Doherty, G, Coyle, D, Sharry, J (2012) Engagement with online mental health interventions: An exploratory clinical study of a treatment for depression. In:Proceedings of the SIGCHI conference on human factors in computing systems (CHI 2012), Austin, TX, 5–10 May, pp. 1421–1430. New York: ACM.
Google Scholar | Crossref
Donker, T, Van Straten, A, Marks, I. (2009) A brief Web-based screening questionnaire for common mental disorders: Development and validation. Journal of Medical Internet Research 11(3): e19.
Google Scholar | Crossref | Medline | ISI
Edwards-Stewart, A (2012) Using technology to enhance empirically supported psychological treatments: Positive activity jackpot. Journal of the Academy of Medical Psychology 3(2): 60–66.
Google Scholar
Fairburn, CG, Rothwell, ER (2015) Apps and eating disorders: A systematic clinical appraisal. International Journal of Eating Disorders 48(7): 1038–1046.
Google Scholar | Crossref | Medline | ISI
Gringras, P, Santosh, P, Baird, G (2006) Development of an Internet-based real-time system for monitoring pharmacological interventions in children with neurodevelopmental and neuropsychiatric disorders. Child: Care, Health and Development 32: 591–600.
Google Scholar | Crossref | Medline | ISI
Iloabachie, C, Wells, C, Goodwin, B. (2011) Adolescent and parent experiences with a primary care/Internet-based depression prevention intervention (CATCH-IT). General Hospital Psychiatry 33: 543–555.
Google Scholar | Crossref | Medline | ISI
Kaltenthaler, E, Parry, G, Beverley, C. (2008) Computerised cognitive–behavioural therapy for depression: Systematic review. The British Journal of Psychiatry: The Journal of Mental Science 193: 181–184.
Google Scholar | Crossref | Medline | ISI
Karyotaki, E, Kleiboer, A, Smit, F. (2015) Predictors of treatment dropout in self-guided web-based interventions for depression: An “individual patient data” meta-analysis. Psychological Medicine 45(13): 2717–2726.
Google Scholar | Crossref | Medline | ISI
Kessler, RC, Andrews, G, Colpe, LJ. (2002) Short screening scales to monitor population prevalence and trends in non-specific psychological distress. Psychological Medicine 32: 959–976.
Google Scholar | Crossref | Medline | ISI
Koffel, E, Kuhn, E, Petsoulis, N. (2016) A randomized controlled pilot study of CBT-I coach: Feasibility, acceptability, and potential impact of a mobile phone application for patients in cognitive behavioral therapy for insomnia. Health Informatics Journal. Epub ahead of print 27 June. DOI: 10.1177/1460458216656472.
Google Scholar | SAGE Journals | ISI
Kuhn, E, Greene, C, Hoffman, J. (2014) Preliminary evaluation of PTSD coach, a smartphone app for post-traumatic stress symptoms. Military Medicine 179: 1–12.
Google Scholar | Crossref | ISI
Kuhn, E, Weiss, BJ, Taylor, KL. (2016) CBT-I Coach: A description and clinician perceptions of a mobile app for cognitive behavioral therapy for insomnia. Journal of Clinical Sleep Medicine 12(4): 597–606.
Google Scholar | Crossref | Medline | ISI
Lambert, MJ (1992) Implications of Outcome Research for Psychotherapy Integration. Handbook of Psychotherapy Integration. New York: Basic Books.
Google Scholar
Lanata, A, Valenza, G, Nardelli, M. (2015) Complexity index from a personalized wearable monitoring system for assessing remission in mental health. IEEE Journal of Biomedical and Health Informatics 19(1): 132–139.
Google Scholar | Crossref | Medline | ISI
Lane, ND, Choudhury, T, Campbell, A. (2011) BeWell: A smartphone application to monitor, model and promote wellbeing. In: Proceedings of the pervasive health 2011, Dublin, 23–26 May.
Google Scholar | Crossref
Lin, JJ, Mamykina, L, Lindtner, S. (2006) Fish“n”Steps: Encouraging physical activity with an interactive computer game. In: Dourish, P, Friday, A (eds) UbiComp 2006: Ubiquitous Computing (UbiComp 2006, LNCS), vol. 4206. Berlin: Springer, pp. 261–278.
Google Scholar | Crossref
Martinez, SG, Badillo-Urquiola, KA, Leis, RA. (2016) Investigation of multimodal mobile applications for improving mental health. In: Schmorrow, D, Fidopiastis, C (eds) Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience (AC 2016, Lecture Notes in Computer Science), vol. 9744. Berlin: Springer, pp. 333–343.
Google Scholar | Crossref
Matthews, M, Doherty, G (2011) In the mood: Engaging teenagers in psychotherapy using mobile phones. In: Proceedings of the SIGCHI conference on human factors in computing systems (CHI 2011), Vancouver, BC, Canada, 7–12 May, pp. 2947–2956. New York: ACM.
Google Scholar | Crossref
Miloff, A, Marklund, A, Carlbring, P (2015) The challenger app for social anxiety disorder: New advances in mobile psychological treatment. Internet Interventions 2(4): 382–391.
Google Scholar | Crossref
Nitsch, M, Dimopoulos, CN, Flaschberger, E. (2016) A guided online and mobile self-help program for individuals with eating disorders: An iterative engagement and usability study. Journal of Medical Internet Research 18(1): e7.
Google Scholar | Crossref | Medline | ISI
Payne, HE, Lister, C, West, JH. (2015) Behavioral functionality of mobile apps in health interventions: A systematic review of the literature. JMIR mHealth and uHealth 3(1): e20.
Google Scholar | Crossref | Medline | ISI
Pollak, J, Gay, G, Byrne, S. (2010) It’s time to eat! Using mobile games to promote healthy eating. IEEE Pervasive Computing 9(3): 21–27.
Google Scholar | Crossref | ISI
Tolin, DF (2010) Is cognitive-behavioral therapy more effective than other therapies? A meta-analytic review. Clinical Psychology Review 30: 710–720.
Google Scholar | Crossref | Medline | ISI
Watts, S, Mackenzie, A, Thomas, C. (2013) CBT for depression: A pilot RCT comparing mobile phone vs. computer. BMC Psychiatry 13(1): 49.
Google Scholar | Crossref | Medline | ISI