Mobile phones as medical devices in mental disorder treatment: overview | Personal and Ubiqu
Listed on 2026-01-29
-
Healthcare
Mental Health, Healthcare Consultant
Overview
Mental disorders can have a significant, negative impact on sufferers’ lives, as well as on their friends and family, healthcare systems and other parts of society. Approximately 25% of all people in Europe and the USA experience a mental disorder at least once in their lifetime. Currently, monitoring mental disorders relies on subjective clinical self-reporting rating scales, which were developed more than 50years ago.
In this paper, we discuss how mobile phones can support the treatment of mental disorders by (1) implementing human–computer interfaces to support therapy and (2) collecting relevant data from patients’ daily lives to monitor the current state and development of their mental disorders. Concerning the first point, we review various systems that utilize mobile phones for the treatment of mental disorders.
We also evaluate how their core design features and dimensions can be applied in other, similar systems. Concerning the second point, we highlight the feasibility of using mobile phones to collect comprehensive data including voice data, motion and location information. Data mining methods are also reviewed and discussed. Based on the presented studies, we summarize advantages and drawbacks of the most promising mobile phone technologies for detecting mood disorders like depression or bipolar disorder.
Finally, we discuss practical implementation details, legal issues and business models for the introduction of mobile phones as medical devices.
- Behavioral Medicine
- Mental Health
- Mental Disorder
- Mobile Computing
- Psychiatric Disorder
- Psychiatry
Both medical and non-medical: for example, alcohol consumption may render medication ineffective.
ReferencesAlonso J, Angermeyer MC, Bernert S, Bruffaerts R, Brugha T, Bryson H, Girolamo GD, Graaf RD, Demyttenaere K, Gasquet I et al (2004) Prevalence of mental disorders in Europe: results from the european study of the epidemiology of mental disorders (ESEMeD) project. Acta Psychiatr Scand 109(420):21–27
Arnrich B, Mayora O, Bardram J, Tröster G (2010) Pervasive healthcare—paving the way for a pervasive, user-centered and preventive healthcare model. J Methods Inf Med 49:67–73
Azizyan M, Constandache I, Roy Choudhury R (2009) Surround sense: mobile phone localization via ambience fingerprinting. In:
Proceedings of the 15th annual international conference on mobile computing and networking, ACM, pp 261–272
Baltaxe CA (1977) Pragmatic deficits in the language of autistic adolescents. J Pediatr Psychol 2(4):176–180
Bardram JE, Frost M, Szántó K, Faurholt-Jepsen M, Vinberg M, Kessing LV (2013) Designing mobile health technology for bipolar disorder: a field trial of the monarca system. Proceedings of the SIGCHI conference on human factors in computing systems, CHI ’13. NY, USA, ACM, New York, pp 2627–2636
Begley CE, Annegers JF, Swann AC, Lewis C, Coan S, Schnapp WB, Bryant-Comstock L (2001) The lifetime cost of bipolar disorder in the US. Pharmacoeconomics 19(5):483–495
Ben-Zeev D, Davis KE, Kaiser S, Krzsos I, Drake RE (2013) Mobile technologies among people with serious mental illness: opportunities for future services. Adm Policy Ment Health Ment Health Serv Res 40(4):340–343
Blazer DG (1982) Social support and mortality in an elderly community population. Am J Epidemiol 115(5):684–694
Burns MN, Begale M, Duffecy J, Gergle D, Karr CJ, Giangrande E, Mohr DC (2011) Harnessing context sensing to develop a mobile intervention for depression. J Med Internet Res 13(3):e55
Cafazzo AJ, Casselman M, Hamming N, Katzman KD, Palmert RM (2012) Design of an mhealth app for the self-management of adolescent type 1 diabetes: a pilot study. J Med Internet Res 14(3):e70
Cantwell DP, Baker L (1977) Psychiatric disorder in children with speech and language retardation: a critical review. Arch Gen Psychiatry 34(5):583
Cole-Lewis H, Kershaw T (2010) Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev 32(1):56–69
Consolvo S, McDonald DW, Toscos T, Chen MY, Froehlich J, Harrison B, Klasnja P, LaMarca A, LeGrand L, Libby R, Smith I, Landay JA (2008) Activity sensing in the wild: a field trial of…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).