The Use of Smartphone for Bipolar Disorder Patients: A Systematic Review
Keywords:
Smartphone, Bipolar, Mental DisorderAbstract
Bipolar is a mood disorder characterized by extreme swings between feelings of happiness and sadness. Based on WHO data, around 60 million people experience bipolar disorder. Bipolar disorder causes functional, psychosocial functioning, quality of life impairments and even the risk of suicide. The large number of smartphone users and the increasing computing power of mobile devices can be used as a reference in using smartphones for bipolar disorder. This systematic review aims to determine the use of smartphones for patients with bipolar disorder. The systematic review method was applied to search articles in electronic databases such as PubMed, Science Direct, and SpringerLink published in 2017-2021. The keywords used in the search were "smartphone", "bipolar disorder" using the Boolean "AND". Articles reviewed were those which met several inclusion criteria such as relevant to the study objective, written in English, not an article review, and free full text. An analysis towards 16 relevant articles found that the use of smartphones for patients with bipolar disorder was intended to measure and monitor signs and symptoms, as a medium for psychotherapy, and to increase adherence to medication. This can be a reference for healthcare workers in carrying out monitoring and management programs for bipolar disorder.
References
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, (DSM-5). 5th ed. American Psychiatric Publishing; 2013.
World Health Organization. Mental disorders [Internet]. 2019 [cited 2020 Sep 27]. Available from: https://www.who.int/news-room/fact-sheets/detail/mental-disorders
Beyer JL, Weisler RH. Suicide Behaviors in Bipolar Disorder: A Review and Update for the Clinician. Psychiatr Clin North Am [Internet]. 2016;39(1):111–23. Available from: http://dx.doi.org/10.1016/j.psc.2015.09.002
Henry BL, Minassian A, Perry W. Everyday functional ability across different phases of bipolar disorder. Psychiatry Res [Internet]. 2013;210(3):850–6. Available from: http://dx.doi.org/10.1016/j.psychres.2013.04.006
Jiménez-López E, Sánchez-Morla EM, Aparicio AI, López-Villarreal A, Martínez-Vizcaíno V, Rodriguez-Jimenez R, et al. Psychosocial functioning in patients with psychotic and non-psychotic bipolar I disorder. A comparative study with individuals with schizophrenia. J Affect Disord [Internet]. 2018;229(December 2017):177–85. Available from: https://doi.org/10.1016/j.jad.2017.12.094
Anaya C, Torrent C, Caballero FF, Vieta E, Bonnin C del M, Ayuso-Mateos JL, et al. Cognitive reserve in bipolar disorder: Relation to cognition, psychosocial functioning and quality of life. Acta Psychiatr Scand. 2016;133(5):386–98.
Sylvia LG, Montana RE, Deckersbach T, Thase ME, Tohen M, Reilly-Harrington N, et al. Poor quality of life and functioning in bipolar disorder. Int J Bipolar Disord [Internet]. 2017;5(1):10. Available from: http://journalbipolardisorders.springeropen.com/articles/10.1186/s40345-017-0078-4
Torous J, Friedman R, Keshavan M. Smartphone ownership and interest in mobile applications to monitor symptoms of mental health conditions. JMIR mHealth uHealth. 2014;2(1).
Kementeria Komunikasi dan Informatika. 89% Penduduk Indonesia Gunakan Smartphone [Internet]. 2021 [cited 2021 Apr 6]. Available from: https://medianindonesia.com/humaniora/389057/kemenkominfo-89-penduduk-indonesia-gunakan-smartphone
Jørgensen P M, N O, D G, M R, G T. Acta Psychiatr Scand - 2014 - Munk‐J rgensen - Fifty years development and future perspectives of psychiatric register.pdf. Acta Psychiatr Scand. 2014;130:87–98.
Palmier-Claus JE, Rogers A, Ainsworth J, Machin M, Barrowclough C, Laverty L, et al. Integrating mobile-phone based assessment for psychosis into people’s everyday lives and clinical care: A qualitative study. BMC Psychiatry [Internet]. 2013;13(1):1. Available from: BMC Psychiatry
Anand V, Hu B, Anand A. Smartphone Monitoring of Mood Instability in Young Depressed Patients: A Latent-class Analyses. AMIA . Annu Symp proceedings AMIA Symp. 2019;2019:220–7.
Gideon J, Matton K, Anderau S, McInnis MG, Provost EM. When to Intervene: Detecting Abnormal Mood using Everyday Smartphone Conversations. 2019; Available from: http://arxiv.org/abs/1909.11248
Maurin KD, Girod C, Consolini J Lou, Belzeaux R, Etain B, Cochet B, et al. Use of a serious game to strengthen medication adherence in euthymic patients with bipolar disorder following a psychoeducational programme: A randomized controlled trial. J Affect Disord [Internet]. 2020;262(September 2019):182–8. Available from: https://doi.org/10.1016/j.jad.2019.10.008
Fellendorf FT, Hamm C, Platzer M, Pendl C, Gruber R, Weiss M, et al. Self-Monitoring and Self-Efficacy Increase with a Smartphone Application: A Technical Approach to Treating Bipolar Disorder?-Study Protocol for a Clinical Validation Trial. J Psychiatry Psychiatr Disord. 2019;03(03):137–48.
Dargél AA, Mosconi E, Masson M, Plaze M, Taieb F, von Platen C, et al. Toi Même, a mobile health platform for measuring bipolar illness activity: Protocol for a feasibility study. JMIR Res Protoc. 2020;9(8).
Mühlbauer E, Bauer M, Ebner-Priemer U, Ritter P, Hill H, Beier F, et al. Effectiveness of smartphone-based ambulatory assessment (SBAA-BD) including a predicting system for upcoming episodes in the long-term treatment of patients with bipolar disorders: Study protocol for a randomized controlled single-blind trial 11 Medical a. BMC Psychiatry. 2018;18(1):1–9.
Carr O, Andreotti F, Saunders KEA, Palmius N, Goodwin GM, De Vos M. Monitoring Depression in Bipolar Disorder using Circadian Measures from Smartphone Accelerometers. 2020;1:1–8. Available from: http://arxiv.org/abs/2007.02064
Ryan KA, Babu P, Easter R, Saunders E, Lee AJ, Klasnja P, et al. A smartphone app to monitor mood symptoms in bipolar disorder: Development and usability study. JMIR Ment Heal. 2020;7(9).
Faurholt-Jepsen M, Rohani DA, Busk J, Vinberg M, Bardram JE, Kessing LV. Voice analyses using smartphone-based data in patients with bipolar disorder, unaffected relatives and healthy control individuals, and during different affective states. Int J Bipolar Disord [Internet]. 2021;9(1). Available from: https://doi.org/10.1186/s40345-021-00243-3
Faurholt-Jepsen M, Frost M, Martiny K, Tuxen N, Rosenberg N, Busk J, et al. Reducing the rate and duration of Re- ADMISsions among patients with unipolar disorder and bipolar disorder using smartphone-based monitoring and treatment - the RADMIS trials: Study protocol for two randomized controlled trials. Trials. 2017;18(1):1–13.
Wenze SJ, Armey MF, Weinstock LM, Gaudianao BA, Miller IW. An Open Trial of a Smartphone-Assisted, Adjunctive Intervention to Improve Treatment Adherence in Bipolar Disorder. J Psychiatr Pr. 2017;22(6):492–504.
Pozza A, Coluccia A, Gualtieri G, Ferretti F. Enhancing adherence to antipsychotic treatment for bipolar disorders. Comparison of mobile app-based psychoeducation, group psychoeducation, and the combination of both: protocol of a three-arm single-blinded parallel-group multi-centre randomised trial. Clin Ter. 2020;171(2):e7–93.
Fellendorf FT, Hamm C, Dalkner N, Platzer M, Sattler MC, Bengesser SA, et al. Monitoring Sleep Changes via a Smartphone App in Bipolar Disorder: Practical Issues and Validation of a Potential Diagnostic Tool. Front Psychiatry. 2021;12(March).
Melbye S, Stanislaus S, Vinberg M, Frost M, Bardram JE, Kessing LV, et al. Automatically Generated Smartphone Data in Young Patients With Newly Diagnosed Bipolar Disorder and Healthy Controls. Front Psychiatry. 2021;12(August).
Jonathan GK, Dopke CA, Michaels T, Bank A, Martin CR, Adhikari K, et al. A smartphone-based self-management intervention for bipolar disorder (livewell): User-centered development approach. JMIR Ment Heal. 2021;8(4):1–22.
Busk J, Faurholt-Jepsen M, Frost M, Bardram JE, Kessing LV, Winther O. Forecasting Mood in Bipolar Disorder from Smartphone Self-assessments: Hierarchical Bayesian approach. JMIR mHealth uHealth. 2020;8(4):1–14.
Depp C, Harmell AL, Savla GN, Mausbach BT, Jeste D V., Palmer BW. A prospective study of the trajectories of clinical insight, affective symptoms, and cognitive ability in bipolar disorder. J Affect Disord [Internet]. 2014;23(1):1–7. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3624763/pdf/nihms412728.pdf
Faurholt-Jepsen M, Frost M, Vinberg M, Christensen EM, Bardram JE, Kessing LV. Smartphone data as objective measures of bipolar disorder symptoms. Psychiatry Res [Internet]. 2014;217(1–2):124–7. Available from: http://dx.doi.org/10.1016/j.psychres.2014.03.009
González-Ortega I, Ugarte A, Ruiz de Azúa S, Núñez N, Zubia M, Ponce S, et al. Online psycho-education to the treatment of bipolar disorder: Protocol of a randomized controlled trial. BMC Psychiatry [Internet]. 2016;16(1):1–8. Available from: http://dx.doi.org/10.1186/s12888-016-1159-0
Reinares M, Sánchez-Moreno J, Fountoulakis KN. Psychosocial interventions in bipolar disorder: What, for whom, and when. J Affect Disord [Internet]. 2014;156:46–55. Available from: http://dx.doi.org/10.1016/j.jad.2013.12.017
Gibson S, Brand SL, Burt S, Boden ZVR, Benson O. Understanding treatment non-adherence in schizophrenia and bipolar disorder: A survey of what service users do and why. BMC Psychiatry. 2013;13.
Leclerc E, Mansur RB, Brietzke E. Determinants of adherence to treatment in bipolar disorder: A comprehensive review. J Affect Disord. 2013;149(1–3):247–52.
Sparding T, Silander K, Pålsson E, Östlind J, Sellgren C, Ekman CJ, et al. Cognitive functioning in clinically stable patients with bipolar disorder I and II. PLoS One. 2015;10(1):1–13.
Sajatovic M, Davis MS, Cassidy KA, Nestor J, Sams J, Fuentes-Casiano E. A technology-enabled adherence enhancement system for people with bipolar disorder: Results from a feasibility and patient acceptance analysis. Patient Prefer Adherence. 2015;9:753–8.
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