Korean Clinical Psychology Association

Current Issue

Korean Journal of Clinical Psychology - Vol. 39 , No. 4

[ Original Article ]
Korean Journal of Clinical Psychology - Vol. 39 , No. 4 , pp.325-354
ISSN: 2733-4538 (Online)
publication date 30 Nov 2020
Received 25 Oct 2020 Revised 30 Oct 2020 Accepted 30 Oct 2020
DOI: https://doi.org/10.15842/kjcp.2020.39.4.007

Post–COVID-19 시대의 mHealth 기반 심리치료
이수은 ; 신혜민 ; 허지원
고려대학교 심리학과

mHealth for Mental Health in the COVID-19 Era
Soo-Eun Lee ; Hyemin Shin ; Ji-Won Hur
Department of Psychology, Korea University, Seoul, Korea
Correspondence to : Correspondence to Ji-Won Hur, Department of Psychology, Korea University #115, College of Law Annex (Old Law Bldg.), 145 Anam-ro, Seongbuk-gu, Seoul, Korea; E-mail: j_hur@korea.ac.kr

© 2020 Korean Clinical Psychology Association
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신종 코로나 바이러스 감염에 대한 경계와 사회적 거리두기 지침이 일상의 ‘뉴 노멀(new norm)’로 자리잡으며 전세계적으로 정신건강문제가 대두되고 있다. 특히 신종 감염병으로 개인의 경제적 활동과 대면 진료 및 거리 이동이 제한되고 있는 바, 악화된 경제 및 물리적 상황을 극복하기 위한 시도로 원격의료(telemedicine)와 모바일 헬스(mHealth)에 대한 요구가 증대되고 있다. 본 고찰 연구에서는 그간 학술 문헌을 통해 제안된 mHealth 기반 정신건강 서비스를 우울장애, 불안장애, 강박 및 관련 장애, 외상 및 스트레스 관련 장애, 양극성 및 관련 장애, 조현병 스펙트럼 및 기타 정신병적 장애, 섭식장애, 수면-각성 장애, 물질사용장애에의 적용 순으로 살펴보았다. 또한, mHealth 기반 심리치료의 선택과 평가, 개발과 관련한 시사점과 앞으로의 방향성에 대해 논의하였다.


With the coronavirus disease (COVID-19) outbreak, social distancing and constant vigilance against infection have become the “new norm”. Not surprisingly, multiple mental health problems arising during the pandemic are of increasing global concern. Telemedicine or mHealth is being more highlighted than ever during this major ongoing global health and economic crisis. This review aims to explore current mHealth approaches introduced in the scientific literature for mental illnesses including depressive disorders, anxiety disorders, obsessive-compulsive and related disorders, trauma- and stressor-related disorders, bipolar and related disorders, schizophrenia spectrum and other psychotic disorders, eating disorders, sleep-wake disorders, and substance-related disorders. Implications for the choice of use, evaluation, and further development of mHealth interventions are also discussed to harness mHealth as an alternative or augment to traditional mental health services.

Keywords: COVID-19, coronavirus, mHealth, telemedicine, mental health apps
키워드: COVID-19, 코로나바이러스, mHealth, 원격 의료, 정신건강 어플리케이션


This study was supported by a faculty research grant from the College of Liberal Arts at Korea University in 2019.

Author contributions statement

SL and HS, graduate students at Korea University and JH, associate professor at Korea University, collected and reviewed the literature, and wrote the manuscript. JH also served as the principal investigator of the research grant and supervised the research process. All authors provided critical feedback, participated in the manuscript's revision, and approved the final submission.

1. Aardema, F. (2020). COVID-19, obsessive-compulsive disorder and invisible life forms that threaten the self. Journal of Obsessive- Compulsive and Related Disorders, 26, 100558.
2. Abdel‐Baki, A., Lal, S., D.‐Charron, O., Stip, E., & Kara, N. (2017). Understanding access and use of technology among youth with first‐episode psychosis to inform the development of technology‐ enabled therapeutic interventions. Early Intervention in Psychiatry, 11, 72-76.
3. Aboody, D., Siev, J., & Doron, G. (2020). Building resilience to body image triggers using brief cognitive training on a mobile application: A randomized controlled trial. Behaviour Research and Therapy, 134, 103723.
4. Abramowitz, J. S. (2006). The psychological treatment of obsessive— compulsive disorder. The Canadian Journal of Psychiatry, 51, 407- 416.
5. Agarwal, S., LeFevre, A. E., Lee, J., L’Engle, K., Mehl, G., Sinha, C., & Labrique, A. (2016). Guidelines for reporting of health interventions using mobile phones: Mobile health (mHealth) evidence reporting and assessment (mERA) checklist. British Medical Journal, 352, i1174.
6. Agyapong, V. I., Ahern, S., McLoughlin, D. M., & Farren, C. K. (2012). Supportive text messaging for depression and comorbid alcohol use disorder: Single-blind randomised trial. Journal of Affective Disorders, 141, 168-176.
7. Ainsworth, J., Palmier-Claus, J. E., Machin, M., Barrowclough, C., Dunn, G., Rogers, A., . . . Wykes, T. (2013). A comparison of two delivery modalities of a mobile phone-based assessment for serious mental illness: Native smartphone application vs text-messaging only implementations. Journal of Medical Internet Research, 15, e60.
8. Alessi, S. M., & Petry, N. M. (2013). A randomized study of cellphone technology to reinforce alcohol abstinence in the natural environment. Addiction, 108, 900-909.
9. Anastasiadou, D., Folkvord, F., Brugnera, A., Cañas Vinader, L., SerranoTroncoso, E., Carretero Jardí, C., . . . Graell Berna, M. (2020). An mHealth intervention for the treatment of patients with an eating disorder: A multicenter randomized controlled trial. International Journal of Eating Disorders, 53, 1120-1131.
10. Andrade, L. H., Alonso, J., Mneimneh, Z., Wells, J., Al-Hamzawi, A., Borges, G., . . . De Graaf, R. (2014). Barriers to mental health treatment: Results from the WHO World Mental Health (WMH) surveys. Psychological Medicine, 44, 1303-1317.
11. Anthes, E. (2016). Pocket psychiatry: Mobile mental-health apps have exploded onto the market, but few have been thoroughly tested. Nature, 532, 20-24.
12. Ara, T., Rahman, M., Hossain, M., & Ahmed, A. (2020). Identifying the associated risk factors of sleep disturbance during the COVID- 19 lockdown in Bangladesh: A web-based survey. Frontiers in Psychiatry, 11, 966.
13. Arean, P. A., Hallgren, K. A., Jordan, J. T., Gazzaley, A., Atkins, D. C., Heagerty, P. J., & Anguera, J. A. (2016). The use and effectiveness of mobile apps for depression: Results from a fully remote clinical trial. Journal of Medical Internet Research, 18, e330.
14. Aschbrenner, K. A., Naslund, J. A., Gill, L. E., Bartels, S. J., & Ben- Zeev, D. (2016). A qualitative study of client–clinician text exchanges in a mobile health intervention for individuals with psychotic disorders and substance use. Journal of Dual Diagnosis, 12, 63-71.
15. Asmundson, G. J., Paluszek, M. M., Landry, C. A., Rachor, G. S., McKay, D., & Taylor, S. (2020). Do pre-existing anxiety-related and mood disorders differentially impact COVID-19 stress responses and coping? Journal of Anxiety Disorders, 74, 102271.
16. American Psychiatric Association. (2013), Diagnostic and statistical manual of mental disorders (DSM-5). 5th ed. Washington, DC: American Psychiatric Publication.
17. Bäuerle, A., Teufel, M., Musche, V., Weismüller, B., Kohler, H., Hetkamp, M., . . . Skoda, E. M. (2020). Increased generalized anxiety, depression and distress during the COVID-19 pandemic: A crosssectional study in Germany. Journal of Public Health, fdaa106.
18. Bakker, D., Kazantzis, N., Rickwood, D., & Rickard, N. (2016). Mental health smartphone apps: Review and evidence-based recommendations for future developments. JMIR Mental Health, 3, e7.
19. Banerjee, D. (2020). The other side of COVID-19: Impact on obsessive compulsive disorder (OCD) and hoarding. Psychiatry Research. 288, 112966.
20. Bardram, J. E., Frost, M., Szántó, K., Faurholt-Jepsen, M., Vinberg, M., & Kessing, L. V. (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 (pp. 2627-2736). doi: https://doi.org/10.1145/ 2470654.2481364.
21. Barnett, I., Torous, J., Staples, P., Sandoval, L., Keshavan, M., & Onnela, J. P. (2018). Relapse prediction in schizophrenia through digital phenotyping: A pilot study. Neuropsychopharmacology, 43, 1660-1666.
22. Baron, K. G., Duffecy, J., Reid, K., Begale, M., & Caccamo, L. (2018). Technology-assisted behavioral intervention to extend sleep duration: Development and design of the Sleep Bunny mobile app. JMIR Mental Health, 5, e3.
23. Barrigón, M. L., Berrouiguet, S., Carballo, J. J., Bonal‐Giménez, C., Fernández‐Navarro, P., Pfang, B., . . . Lopez‐Castroman, J. (2017). User profiles of an electronic mental health tool for ecological momentary assessment: MEmind. International Journal of Methods in Psychiatric Research, 26, e1554.
24. Bauer, J. S., Consolvo, S., Greenstein, B., Schooler, J., Wu, E., Watson, N. F., & Kientz, J. (2012). ShutEye: Encouraging awareness of healthy sleep recommendations with a mobile, peripheral display. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1401-1410). doi: https://doi.org/10.1145/ 2207676.2208600.
25. Bauer, S., Okon, E., Meermann, R., & Kordy, H. (2012). Technologyenhanced maintenance of treatment gains in eating disorders: Efficacy of an intervention delivered via text messaging. Journal of Consulting and Clinical Psychology, 80, 700.
26. Baumel, A., Tinkelman, A., Mathur, N., & Kane, J. M. (2018). Digital peer-support platform (7Cups) as an adjunct treatment for women with postpartum depression: Feasibility, acceptability, and preliminary efficacy study. JMIR mHealth and uHealth, 6, e38.
27. Beard, C., Sawyer, A. T., & Hofmann, S. G. (2012). Efficacy of attention bias modification using threat and appetitive stimuli: A meta-analytic review. Behavior Therapy, 43, 724-740.
28. Beiwinkel, T., Kindermann, S., Maier, A., Kerl, C., Moock, J., Barbian, G., & Rössler, W. (2016). Using smartphones to monitor bipolar disorder symptoms: A pilot study. JMIR Mental Health, 3, e2.
29. Ben-Zeev, D., Brenner, C. J., Begale, M., Duffecy, J., Mohr, D. C., & Mueser, K. T. (2014). Feasibility, acceptability, and preliminary efficacy of a smartphone intervention for schizophrenia. Schizophrenia Bulletin, 40, 1244-1253.
30. Ben-Zeev, D., Brian, R., Wang, R., Wang, W., Campbell, A. T., Aung, M. S., . . . Hauser, M. (2017). CrossCheck: Integrating self-report, behavioral sensing, and smartphone use to identify digital indicators of psychotic relapse. Psychiatric Rehabilitation Journal, 40, 266-275.
31. Ben-Zeev, D., Kaiser, S. M., & Krzos, I. (2014). Remote “hovering” with individuals with psychotic disorders and substance use: Feasibility, engagement, and therapeutic alliance with a text-messaging mobile interventionist. Journal of Dual Diagnosis, 10, 197- 203.
32. Benatti, B., Albert, U., Maina, G., Fiorillo, A., Celebre, L., Girone, N., . . . Dell’Osso, B. (2020). What happened to patients with obsessive compulsive disorder during the COVID-19 pandemic? A multicentre report from tertiary clinics in northern Italy. Frontiers in Psychiatry, 11, 720.
33. Biagianti, B., Schlosser, D., Nahum, M., Woolley, J., & Vinogradov, S. (2016). Creating live interactions to mitigate barriers (CLIMB): A mobile intervention to improve social functioning in people with chronic psychotic disorders. JMIR Mental Health, 3, e52.
34. BinDhim, N. F., Shaman, A. M., Trevena, L., Basyouni, M. H., Pont, L. G., & Alhawassi, T. M. (2015). Depression screening via a smartphone app: Cross-country user characteristics and feasibility. Journal of the American Medical Informatics Association, 22, 29-34.
35. Birney, A. J., Gunn, R., Russell, J. K., & Ary, D. V. (2016). MoodHacker mobile web app with email for adults to self-manage mild-tomoderate depression: Randomized controlled trial. JMIR mHealth and uHealth, 4, e8.
36. Bitsch, J. Á., Ramos, R., Ix, T., Ferrer-Cheng, P. G., & Wehrle, K. (2015). Psychologist in a pocket: Towards depression screening on mobile phones. In Proceedings of the 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health (pp. 153-159). doi: https://doi.org/10.3233/978-1- 61499-516-6-153.
37. Bobova, L., Finn, P. R., Rickert, M. E., & Lucas, J. (2009). Disinhibitory psychopathology and delay discounting in alcohol dependence: Personality and cognitive correlates. Experimental and Clinical Psychopharmacology, 17, 51.
38. Boettcher, J., Magnusson, K., Marklund, A., Berglund, E., Blomdahl, R., Braun, U., . . . Sommer, D. (2018). Adding a smartphone app to internet-based self-help for social anxiety: A randomized controlled trial. Computers in Human Behavior, 87, 98-108.
39. Boisseau, C. L., Schwartzman, C. M., Lawton, J., & Mancebo, M. C. (2017). App-guided exposure and response prevention for obsessive compulsive disorder: An open pilot trial. Cognitive Behaviour Therapy, 46, 447-458.
40. Bonet, L., Llacer, B., Arce, D., Blanquer, I., Hernandez, M., Cañete, C., & Sanjuán, J. (2019). T59. Filling the gap between research and clinical practice: A new app for patients with first episode of psychosis. Schizophrenia Bulletin, 45(Supplement_2), S226-S226.
41. Both, F., Cuijpers, P., Hoogendoorn, M., & Klein, M. C. A. (2010). Towards fully automated psychotherapy for adults: BAS - behavioral activation scheduling via web and mobile phone. In A. Fred, J. Filipe, & H. Gamboa (Eds.), Proceedings of the Third International Conference on Health Informatics, HEALTHINF’10 (pp. 375-380). doi: https://doi.org/10.5220/0002688503750380.
42. Boyraz, G., & Legros, D. N. (2020). Coronavirus disease (COVID- 19) and traumatic stress: Probable risk factors and correlates of posttraumatic stress disorder. Journal of Loss and Trauma, 25, 1-20.
43. Bradford, S., & Rickwood, D. (2015). Acceptability and utility of an electronic psychosocial assessment (myAssessment) to increase self-disclosure in youth mental healthcare: A quasi-experimental study. BMC Psychiatry, 1, 305.
44. Brooks, S. K., Webster, R. K., Smith, L. E., Woodland, L., Wessely, S., Greenberg, N., & Rubin, G. J. (2020). The psychological impact of quarantine and how to reduce it: Rapid review of the evidence. The Lancet, 395, 912-920.
45. Bucci, S., Barrowclough, C., Ainsworth, J., Machin, M., Morris, R., Berry, K., . . . Buchan, I. (2018). Actissist: Proof-of-concept trial of a theory-driven digital intervention for psychosis. Schizophrenia Bulletin, 44, 1070-1080.
46. Bucci, S., Barrowclough, C., Ainsworth, J., Morris, R., Berry, K., Machin, M., . . . Buchan, I. (2015). Using mobile technology to deliver a cognitive behaviour therapy-informed intervention in early psychosis (Actissist): Study protocol for a randomised controlled trial. Trials, 16, 1-10.
47. Bueno-Notivol, J., Gracia-García, P., Olaya, B., Lasheras, I., López- Antón, R., & Santabárbara, J. (2020). Prevalence of depression during the COVID-19 outbreak: A meta-analysis of communitybased studies. International Journal of Clinical and Health Psychology, Manuscript submitted for publication.
48. Burns, M. N., Begale, M., Duffecy, J., Gergle, D., Karr, C. J., Giangrande, E., & Mohr, D. C. (2011). Harnessing context sensing to develop a mobile intervention for depression. Journal of Medical Internet Research, 13, e55.
49. Bush, N. E., Ouellette, G., & Kinn, J. (2014). Utility of the T2 Mood Tracker mobile application among army warrior transition unit service members. Military Medicine, 179, 1453-1457.
50. Callan, J. A., Jacob, J. D., Siegle, G. J., Dey, A., Thase, M. E., Dabbs, A. D., . . . Van Slyke, A. (2020). CBT MobileWork©: User-centered development and testing of a mobile mental health application for depression. Cognitive Therapy and Research, 1-16.
51. Cardi, V., Lounes, N., Kan, C., & Treasure, J. (2013). Meal support using mobile technology in anorexia nervosa. Contextual differences between inpatient and outpatient settings. Appetite, 60, 33- 39.
52. Carpenter, V. L., Hertzberg, J. S., Kirby, A. C., Calhoun, P. S., Moore, S. D., Dennis, M. F., . . . Beckham, J. C. (2015). Multi-component smoking cessation treatment including mobile contingency management for smoking cessation in homeless veteran smokers. The Journal of Clinical Psychiatry, 76, 959.
53. Castiglioni, P., Meriggi, P., Rizzo, F., Vaini, E., Faini, A., Parati, G., & Di Rienzo, M. (2012). Seismocardiography while sleeping at high altitude. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 3793-3796). doi: https://doi.org/10.1109/EMBC.2012.6346793.
54. Castro, L. S., Poyares, D., Leger, D., Bittencourt, L., & Tufik, S. (2013). Objective prevalence of insomnia in the São Paulo, Brazil epidemiologic sleep study. Annals of Neurology, 74, 537-546.
55. Cerea, S., Ghisi, M., Bottesi, G., Carraro, E., Broggio, D., & Doron, G. (2020). Reaching reliable change using short, daily, cognitive training exercises delivered on a mobile application: The case of relationship obsessive compulsive disorder (ROCD) symptoms and cognitions in a subclinical cohort. Journal of Affective Disorders, 276, 775-787.
56. Cerea, S., Ghisi, M., Bottesi, G., Manoli, T., Carraro, E., & Doron, G. (2020). Cognitive behavioral training using a mobile application reduces body image related symptoms in high risk female university students: A randomized controlled study. Behavior Therapy, Manuscript submitted for publication.
57. Chen, Y. X., Hung, Y. P., & Chen, H. C. (2016). Mobile application– assisted cognitive behavioral therapy for insomnia in an older adult. Telemedicine and e-Health, 22, 332-334.
58. Christoforou, M., Fonseca, J. A. S., & Tsakanikos, E. (2017). Two novel cognitive behavioral therapy–based mobile apps for agoraphobia: Randomized controlled trial. Journal of Medical Internet Research, 19, e398.
59. Corden, M. E., Koucky, E. M., Brenner, C., Palac, H. L., Soren, A., Begale, M., . . . Mohr, D. C. (2016). MedLink: A mobile intervention to improve medication adherence and processes of care for treatment of depression in general medicine. Digital Health, 2, 2055207616663069.
60. Czeisler, M. É., Lane, R. I., Petrosky, E., Wiley, J. F., Christensen, A., Njai, R., . . . Barger, L. K. (2020). Mental health, substance use, and suicidal ideation during the COVID-19 pandemic—United States, June 24–30, 2020. Morbidity and Mortality Weekly Report, 69, 1049.
61. Dagöö, J., Asplund, R. P., Bsenko, H. A., Hjerling, S., Holmberg, A., Westh, S., . . . Furmark, T. (2014). Cognitive behavior therapy versus interpersonal psychotherapy for social anxiety disorder delivered via smartphone and computer: A randomized controlled trial. Journal of Anxiety Disorders, 28, 410-417.
62. Darcy, A. M., Adler, S., Miner, A., & Lock, J. (2014). How smartphone applications may be implemented in the treatment of eating disorders: Case reports and case series data. Advances in Eating Disorders: Theory, Research and Practice, 2, 217-232.
63. De Witte, N. A., Scheveneels, S., Sels, R., Debard, G., Hermans, D., & Van Daele, T. (2020). Augmenting exposure therapy: Mobile AR for specific phobia. Frontiers in Virtual Reality, 1, 8.
64. De Zambotti, M., Claudatos, S., Inkelis, S., Colrain, I. M., & Baker, F. C. (2015). Evaluation of a consumer fitness-tracking device to assess sleep in adults. Chronobiology International, 32, 1024-1028.
65. Dennis, T. A., & O’Toole, L. J. (2014). Mental health on the go: Effects of a gamified attention-bias modification mobile application in trait-anxious adults. Clinical Psychological Science, 2, 576-590.
66. Depp, C. A., Ceglowski, J., Wang, V. C., Yaghouti, F., Mausbach, B. T., Thompson, W. K., & Granholm, E. L. (2015). Augmenting psychoeducation with a mobile intervention for bipolar disorder: A randomized controlled trial. Journal of Affective Disorders, 174, 23-30.
67. Depp, C. A., Mausbach, B., Granholm, E., Cardenas, V., Ben-Zeev, D., Patterson, T. L., . . . Jeste, D. V. (2010). Mobile interventions for severe mental illness: Design and preliminary data from three approaches. The Journal of Nervous and Mental Disease, 198, 715.
68. Donker, T., Cornelisz, I., Van Klaveren, C., Van Straten, A., Carlbring, P., Cuijpers, P., & Van Gelder, J. L. (2019). Effectiveness of self-guided app-based virtual reality cognitive behavior therapy for acrophobia: A randomized clinical trial. JAMA Psychiatry, 76, 682-690.
69. Donker, T., Petrie, K., Proudfoot, J., Clarke, J., Birch, M.-R., & Christensen, H. (2013). Smartphones for smarter delivery of mental health programs: A systematic review. Journal of Medical Internet Research, 15, e247.
70. Dumas, T. M., Ellis, W., & Litt, D. M. (2020). What does adolescent substance use look like during the COVID-19 pandemic? Examining changes in frequency, social contexts, and pandemicrelated predictors. Journal of Adolescent Health, 67, 354-361.
71. Dunster, G., Swendsen, J., & Merikangas, K. R. (2020). Real-time mobile monitoring of bipolar disorder: A review of evidence and future directions. Neuropsychopharmacology, 46, 197-208.
72. Eisner, E., Drake, R. J., Berry, N., Barrowclough, C., Emsley, R., Machin, M., & Bucci, S. (2019). Development and long-term acceptability of ExPRESS, a mobile phone app to monitor basic symptoms and early signs of psychosis relapse. JMIR mHealth and uHealth, 7, e11568.
73. Elbogen, E. B., Aralis, H., Cassiello-Robbins, C. F., Lester, P., Saltzman, W., & Barish, G. (2020). Integrating mobile technology and social support with cognitive behavioral therapy for anger in veterans with PTSD: A pilot study. Military Behavioral Health, 1-10.
74. Ennis, L., Rose, D., Denis, M., Pandit, N., & Wykes, T. (2012). Can’t surf, won’t surf: The digital divide in mental health. Journal of Mental Health, 21, 395-403.
75. Enock, P. M., Hofmann, S. G., & McNally, R. J. (2014). Attention bias modification training via smartphone to reduce social anxiety: A randomized, controlled multi-session experiment. Cognitive Therapy and Research, 38, 200-216.
76. Ettman, C. K., Abdalla, S. M., Cohen, G. H., Sampson, L., Vivier, P. M., & Galea, S. (2020). Prevalence of depression symptoms in US adults before and during the COVID-19 pandemic. JAMA Network Open, 3, e2019686-e2019686.
77. Fairburn, C. G. (2008). Cognitive behavior therapy and eating disorders: New York: Guilford Press.
78. Fairburn, C. G., & Rothwell, E. R. (2015). Apps and eating disorders: A systematic clinical appraisal. International Journal of Eating Disorders, 48, 1038-1046.
79. Faurholt-Jepsen, M., Busk, J., Frost, M., Vinberg, M., Christensen, E. M., Winther, O., . . . Kessing, L. V. (2016). Voice analysis as an objective state marker in bipolar disorder. Translational Psychiatry, 6, e856-e856.
80. Faurholt-Jepsen, M., Frost, M., Christensen, E. M., Bardram, J. E., Vinberg, M., & Kessing, L. V. (2020). The effect of smartphonebased monitoring on illness activity in bipolar disorder: The MONARCA II randomized controlled single-blinded trial. Psychological Medicine, 50, 838-848.
81. Faurholt-Jepsen, M., Frost, M., Ritz, C., Christensen, E. M., Jacoby, A., Mikkelsen, R. L., . . . Kessing, L. V. (2015). Daily electronic selfmonitoring in bipolar disorder using smartphones–the MONARCA I trial: A randomized, placebo-controlled, single-blind, parallel group trial. Psychological Medicine, 45, 2691-2704.
82. Fava, M., & Kendler, K. S. (2000). Major depressive disorder. Neuron, 28, 335-341.
83. Fernández‐Aranda, F., Casas, M., Claes, L., Bryan, D. C., Favaro, A., Granero, R., . . . Le Grange, D. (2020). COVID‐19 and implications for eating disorders. European Eating Disorders Review, 28, 239.
84. Fineberg, N. A., Van Ameringen, M., Drummond, L., Hollander, E., Stein, D., Geller, D., . . . Zohar, J. (2020). How to manage obsessive- compulsive disorder (OCD) under COVID-19: A clinician’s guide from the international college of obsessive compulsive spectrum disorders (ICOCS) and the obsessive-compulsive research network (OCRN) of the European college of neuropsychopharmacology. Comprehensive Psychiatry. Manuscript submitted for publication.
85. Fogarty, A. S., Proudfoot, J., Whittle, E. L., Clarke, J., Player, M. J., Christensen, H., & Wilhelm, K. (2017). Preliminary evaluation of a brief web and mobile phone intervention for men with depression: Men’s positive coping strategies and associated depression, resilience, and work and social functioning. JMIR Mental Health, 4, e33.
86. Fonseca, L., Diniz, E., Mendonca, G., Malinowski, F., Mari, J., & Gadelha, A. (2020). Schizophrenia and COVID-19: Risks and recommendations. Brazilian Journal of Psychiatry, 42, 236-238.
87. Fowler, J. C., Cope, N., Knights, J., Phiri, P., Makin, A., Peters-Strickland, T., & Rathod, S. (2019). Hummingbird Study: A study protocol for a multicentre exploratory trial to assess the acceptance and performance of a digital medicine system in adults with schizophrenia, schizoaffective disorder or first-episode psychosis. BMJ Open, 9, e025952.
88. Gajecki, M., Berman, A. H., Sinadinovic, K., Rosendahl, I., & Andersson, C. (2014). Mobile phone brief intervention applications for risky alcohol use among university students: A randomized controlled study. Addiction Science & Clinical Practice, 9, 11.
89. Garrison, K. A., Pal, P., O’Malley, S. S., Pittman, B. P., Gueorguieva, R., Rojiani, R., . . . Brewer, J. A. (2020). Craving to quit: A randomized controlled trial of smartphone app–based mindfulness training for smoking cessation. Nicotine and Tobacco Research, 22, 324-331.
90. George, D., Jameson, J., Michael, K., Yarbrough, J., & George, D. (2020). Assessing the efficacy of a self-administered treatment for social anxiety in the form of a gamified mobile application: A pilot study. Journal of Technology in Behavioral Science, 1-13.
91. Goldin, P. R., Lindholm, R., Ranta, K., Hilgert, O., Helteenvuori, T., & Raevuori, A. (2019). Feasibility of a therapist-supported, mobile phone–delivered online intervention for depression: Longitudinal observational study. JMIR Formative Research, 3, e11509.
92. Gonzales, R., Douglas Anglin, M., & Glik, D. C. (2014). Exploring the feasibility of text messaging to support substance abuse recovery among youth in treatment. Health Education Research, 29, 13-22.
93. González-Sanguino, C., Ausín, B., ÁngelCastellanos, M., Saiz, J., López-Gómez, A., Ugidos, C., & Muñoz, M. (2020). Mental health consequences during the initial stage of the 2020 Coronavirus pandemic (COVID-19) in Spain. Brain, Behavior, and Immunity, 87, 172-176.
94. Gonzalez, V. M., & Dulin, P. L. (2015). Comparison of a smartphone app for alcohol use disorders with an Internet-based intervention plus bibliotherapy: A pilot study. Journal of Consulting and Clinical Psychology, 83, 335-345.
95. Gordon, M., Henderson, R., Holmes, J., Wolters, M., & Bennett, I. (2015). SPIRIT (Stress in Pregnancy: Improving Results with Interactive Technology) group. Participatory design of ehealth solutions for women from vulnerable populations with perinatal depression. Journal of the American Medical Informatics Association, 23, 105-109.
96. Greer, J. A., Jacobs, J., Pensak, N., MacDonald, J. J., Fuh, C. X., Perez, G. K., . . . Traeger, L. (2019). Randomized trial of a tailored cognitive‐behavioral therapy mobile application for anxiety in patients with incurable cancer. Oncologist, 24, 1111-1120.
97. Gritsenko, V., Skugarevsky, O., Konstantinov, V., Khamenka, N., Marinova, T., Reznik, A., & Isralowitz, R. (2020). COVID-19 fear, stress, anxiety, and substance use among Russian and Belarusian university students. International Journal of Mental Health and Addiction, 1-7.
98. Gustafson, D. H., McTavish, F. M., Chih, M. Y., Atwood, A. K., Johnson, R. A., Boyle, M. G., . . . Dillenburg, L. (2014). A smartphone application to support recovery from alcoholism: A randomized clinical trial. JAMA psychiatry, 71, 566-572.
99. Hammonds, T., Rickert, K., Goldstein, C., Gathright, E., Gilmore, S., Derflinger, B., . . . Hughes, J. W. (2015). Adherence to antidepressant medications: A randomized controlled trial of medication reminding in college students. Journal of American College Health, 63, 204-208.
100. Hashemi, B., Ali, S., Awaad, R., Soudi, L., Housel, L., & Sosebee, S. J. (2017). Facilitating mental health screening of war-torn populations using mobile applications. Social Psychiatry and Psychiatric Epidemiology, 52, 27-33.
101. Hertzberg, J. S., Carpenter, V. L., Kirby, A. C., Calhoun, P. S., Moore, S. D., Dennis, M. F., . . . Beckham, J. C. (2013). Mobile contingency management as an adjunctive smoking cessation treatment for smokers with posttraumatic stress disorder. Nicotine & Tobacco Research, 15, 1934-1938.
102. Hidalgo-Mazzei, D., Mateu, A., Reinares, M., Undurraga, J., del Mar Bonnín, C., Sánchez-Moreno, J., . . . Colom, F. (2015). Self-monitoring and psychoeducation in bipolar patients with a smart-phone application (SIMPLe) project: Design, development and studies protocols. BMC psychiatry, 15, 1-9.
103. Hildebrandt, T., Michaelides, A., Mackinnon, D., Greif, R., DeBar, L., & Sysko, R. (2017). Randomized controlled trial comparing smartphone assisted versus traditional guided self‐help for adults with binge eating. International Journal of Eating Disorders, 50, 1313-1322.
104. Hoffart, A., Sexton, H., Hedley, L. M., & Martinsen, E. W. (2008). Mechanisms of change in cognitive therapy for panic disorder with agoraphobia. Journal of Behavior Therapy and Experimental Psychiatry, 39, 262-275.
105. Hong, N., Sanchez, A. L., & Comer, J. S. (2020). Multimedia field test: Can users strike out OCD with the NOCD app? Cognitive and Behavioral Practice, 27, 93-99.
106. Hu, W., Su, L., Qiao, J., Zhu, J., & Zhou, Y. (2020). COVID-19 outbreak increased risk of schizophrenia in aged adults. PsyChinaXiv. doi, 10(202003.00003).
107. Huguet, A., Rao, S., McGrath, P. J., Wozney, L., Wheaton, M., Conrod, J., & Rozario, S. (2016). A systematic review of cognitive behavioral therapy and behavioral activation apps for depression. PloS One, 11, e0154248.
108. Hur, J. W., Kim, B., Park, D., & Choi, S. W. (2018). A scenario-based cognitive behavioral therapy mobile app to reduce dysfunctional beliefs in individuals with depression: A randomized controlled trial. Telemedicine and e-Health, 24, 710-716.
109. Idrissi, A. J., Lamkaddem, A., Benouajjit, A., El Bouaazzaoui, M. B., El Houari, F., Alami, M., . . . Rabhi, S. (2020). Sleep quality and mental health in the context of COVID-19 pandemic and lockdown in Morocco. Sleep Medicine, 74, 248-253.
110. Ivanova, E., Lindner, P., Ly, K. H., Dahlin, M., Vernmark, K., Andersson, G., & Carlbring, P. (2016). Guided and unguided acceptance and commitment therapy for social anxiety disorder and/ or panic disorder provided via the internet and a smartphone application: A randomized controlled trial. Journal of Anxiety Disorders, 44, 27-35.
111. Jacobi, C., Völker, U., Trockel, M. T., & Taylor, C. B. (2012). Effects of an Internet-based intervention for subthreshold eating disorders: A randomized controlled trial. Behaviour Research and Therapy, 50, 93-99.
112. Jang, J. S., & Cho, S. H. (2016). Mobile health (m-health) on mental health. Korean Journal of Stress Research, 24, 231-236.
113. Jiang, H. J., Nan, J., Lv, Z. Y., & Yang, J. (2020). Psychological impacts of the COVID-19 epidemic on Chinese people: Exposure, posttraumatic stress symptom, and emotion regulation. Asian Pacific Journal of Tropical Medicine, 13, 252-259.
114. Joint Task Force for the Development of Telepsychology Guidelines for Psychologists. (2013). Guidelines for the practice of telepsychology. American Psychologist, 68, 791-800.
115. Jongeneel, A., Scheffers, D., Tromp, N., Nuij, C., Delespaul, P., Riper, H., . . . Van Den Berg, D. (2018). Reducing distress and improving social functioning in daily life in people with auditory verbal hallucinations: Study protocol for the ‘Temstem’ randomised controlled trial. BMJ Open, 8, e020537.
116. Juarascio, A. S., Manasse, S. M., Goldstein, S. P., Forman, E. M., & Butryn, M. L. (2015). Review of smartphone applications for the treatment of eating disorders. European Eating Disorders Review, 23, 1-11.
117. Kang, S. G., Kang, J. M., Ko, K. P., Park, S. C., Mariani, S., & Weng, J. (2017). Validity of a commercial wearable sleep tracker in adult insomnia disorder patients and good sleepers. Journal of Psychosomatic Research, 97, 38-44.
118. Karatzias, T., Shevlin, M., Murphy, J., McBride, O., Ben‐Ezra, M., Bentall, R. P., . . . Hyland, P. (2020). Posttraumatic stress symptoms and associated comorbidity during the COVID‐19 pandemic in Ireland: A population‐based study. Journal of Traumatic Stress, 33, 365-370.
119. Karrouri, R., Hammani, Z., & Otheman, Y. (2020). Managing bipolar disorder in time of COVID-19 pandemic. Journal of Medical & Clinical Research, 1, 20-23.
120. Kauer, S. D., Reid, S. C., Crooke, A. H. D., Khor, A., Hearps, S. J. C., Jorm, A. F., . . . Patton, G. (2012). Self-monitoring using mobile phones in the early stages of adolescent depression: Randomized controlled trial. Journal of Medical Internet Research, 14, e67.
121. Kayyali, H. A., Weimer, S., Frederick, C., Martin, C., Basa, D., Juguilon, J. A., & Jugilioni, F. (2008). Remotely attended home monitoring of sleep disorders. Telemedicine and e-Health, 14, 371-374.
122. Kertz, S. J., Kelly, J. M., Stevens, K. T., Schrock, M., & Danitz, S. B. (2017). A review of free iPhone applications designed to target anxiety and worry. Journal of Technology in Behavioral Science, 2, 61-70.
123. Khilnani, A., Schulz, J., & Robinson, L. (2020). The COVID-19 pandemic: New concerns and connections between eHealth and digital inequalities. Journal of Information, Communication and Ethics in Society, 18, 393-403.
124. Kidd, S. A., Feldcamp, L., Adler, A., Kaleis, L., Wang, W., Vichnevetski, K., . . . Voineskos, A. (2019). Feasibility and outcomes of a multi-function mobile health approach for the schizophrenia spectrum: App4Independence (A4i). PloS One, 14, e0219491.
125. Kim, H. E., Hong, Y. J., Kim, M. K., Jung, Y. H., Kyeong, S., & Kim, J. J. (2017). Effectiveness of self-training using the mobile-based virtual reality program in patients with social anxiety disorder. Computers in Human Behavior, 73, 614-619.
126. Kim, S. W., Lee, G. Y., Yu, H. Y., Jung, E. I., Lee, J. Y., Kim, S. Y., . . . Yoon, J. S. (2018). Development and feasibility of smartphone application for cognitive‐behavioural case management of individuals with early psychosis. Early Intervention in Psychiatry, 12, 1087-1093.
127. Kinderman, P., Hagan, P., King, S., Bowman, J., Chahal, J., Gan, L., . . . Gilbertson, J. (2016). The feasibility and effectiveness of Catch It, an innovative CBT smartphone app. BJPsych Open, 2, 204-209.
128. Kizakevich, P. N., Hubal, R. C., Brown, J., Lyden, J., Spira, J. L., Eckhoff, R., . . . Munoz, G. (2012). PHIT for duty, a mobile approach for psychological health intervention. Annual Review of Cybertherapy and Telemedicine, 181, 268-272.
129. Koffarnus, M. N., Bickel, W. K., & Kablinger, A. S. (2018). Remote alcohol monitoring to facilitate incentive‐based treatment for alcohol use disorder: A randomized trial. Alcoholism: Clinical and Experimental Research, 42, 2423-2431.
130. Koffel, E., Kuhn, E., Petsoulis, N., Erbes, C. R., Anders, S., Hoffman, J. E., . . . Polusny, M. A. (2018). 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, 24, 3-13.
131. Komatsu, H., Sekine, Y., Okamura, N., Kanahara, N., Okita, K., Matsubara, S., . . . Minabe, Y. (2013). Effectiveness of information technology aided relapse prevention programme in schizophrenia excluding the effect of user adherence: A randomized controlled trial. Schizophrenia Research, 150, 240-244.
132. Koyanagi, A., & Stickley, A. (2015). The association between sleep problems and psychotic symptoms in the general population: A global perspective. Sleep, 38, 1875-1885.
133. Kozloff, N., Mulsant, B. H., Stergiopoulos, V., & Voineskos, A. N. (2020). The COVID-19 global pandemic: implications for people with schizophrenia and related disorders. Schizophrenia Bulletin, 46, 752-757.
134. Knowledge Sourcing Intelligence LLP. Mobile health (mHealth) app market - industry trends, opportunities and forecasts to 2023. Research and Markets. 2017. URL: https://www.researchandmarkets.com/reports/4435917/mobile-health-mhealth-app-marketindustry (accessed 18 October 2020).
135. Kuehnhausen, M., & Frost, V. S. (2013). Trusting smartphone apps? To install or not to install, that is the question. In 2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) (pp. 30-37). doi: https://doi.org/10.1109/CogSIMA.2013.6523820.
136. Kuhn, E., Greene, C., Hoffman, J., Nguyen, T., Wald, L., Schmidt, J., . . . Ruzek, J. (2014). Preliminary evaluation of PTSD Coach, a smartphone app for post-traumatic stress symptoms. Military Medicine, 179, 12-18.
137. Kuhn, E., Kanuri, N., Hoffman, J. E., Garvert, D. W., Ruzek, J. I., & Taylor, C. B. (2017). A randomized controlled trial of a smartphone app for posttraumatic stress disorder symptoms. Journal of consulting and clinical psychology, 85, 267-273.
138. Kumar, D., Tully, L. M., Iosif, A.-M., Zakskorn, L. N., Nye, K. E., Zia, A., & Niendam, T. A. (2018). A mobile health platform for clinical monitoring in early psychosis: Implementation in community- based outpatient early psychosis care. JMIR Mental Health, 5, e15.
139. Kushida, C. A., Littner, M. R., Morgenthaler, T., Alessi, C. A., Bailey, D., Coleman Jr, J., . . . Kramer, M. (2005). Practice parameters for the indications for polysomnography and related procedures: An update for 2005. Sleep, 28, 499-523.
140. Kutana, S., & Lau, P. H. (2020). The impact of the 2019 coronavirus disease (COVID-19) pandemic on sleep health. Canadian Psychology/ Psychologie Canadienne. Manuscript submitted for publication.
141. Lahav, Y. (2020). Psychological distress related to COVID-19–the contribution of continuous traumatic stress. Journal of Affective Disorders, 1, 129-137.
142. Lal, S., Dell'Elce, J., Tucci, N., Fuhrer, R., Tamblyn, R., & Malla, A. (2015). Preferences of young adults with first-episode psychosis for receiving specialized mental health services using technology: A survey study. JMIR Mental Health, 2, e18.
143. Lappalainen, P., Kaipainen, K., Lappalainen, R., Hoffrén, H., Myllymäki, T., Kinnunen, M. L., . . . Korhonen, I. (2013). Feasibility of a personal health technology-based psychological intervention for men with stress and mood problems: Randomized controlled pilot trial. JMIR Research Protocols, 2, e1.
144. Larsen, M. E., Nicholas, J., & Christensen, H. (2016). A systematic assessment of smartphone tools for suicide prevention. PloS One, 11, e0152285.
145. Lin, L., Christidis, P., & Stamm, L. (2016). Datapoint: Where are the highest concentrations of licensed psychologists. Monitor on Psychology, 47, 13.
146. Macleod, C. (1995). Training selective attention: A cognitive-experimental technique for reducing anziety vulnerability. Paper presented at the Training selective attention: A cognitive-experimental technique for reducing anziety vulnerability.
147. Macleod, C. (1995). Training selective attention: A cognitive-experimental technique for reducing anziety vulnerability. In Training selective attention: A cognitive-experimental technique for reducing anziety vulnerability (p. 118). World Congress of Behavioural and Cognitive Therapies.
148. Marotta-Walters, S. A., Jain, K., DiNardo, J., Kaur, P., & Kaligounder, S. (2018). A review of mobile applications for facilitating EMDR treatment of complex trauma and its comorbidities. Journal of EMDR Practice and Research, 12, 2-15.
149. Martínez-Pérez, B., De La Torre-Díez, I., & López-Coronado, M. (2013). Mobile health applications for the most prevalent conditions by the World Health Organization: Review and analysis. Journal of Medical Internet Research, 15, e120.
150. Marshall, J. M., Dunstan, D. A., & Bartik, W. (2019). The digital psychiatrist: In search of evidence-based apps for anxiety and depression. Frontiers in Psychiatry, 10, 831.
151. 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 (pp. 2947-2956). doi: https://doi.org/10.1145/1978942.1979379.
152. Mazzeo, S. E., Lydecker, J., Harney, M., Palmberg, A. A., Kelly, N. R., Gow, R. W., . . . Bulik, C. M. (2016). Development and preliminary effectiveness of an innovative treatment for binge eating in racially diverse adolescent girls. Eating Behaviors, 22, 199- 205.
153. McGinnis, R. S., McGinnis, E. W., Petrillo, C. J., & Price, M. (2019). Mobile biofeedback therapy for the treatment of panic attacks: A pilot feasibility study. In 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (pp. 1-4). doi: https://doi.org/10.1109/BSN.2019.8771040.
154. Mendelson, M., Vivodtzev, I., Tamisier, R., Laplaud, D., Dias-Domingos, S., Baguet, J. P., . . . De Lamberterie, G. (2014). CPAP treatment supported by telemedicine does not improve blood pressure in high cardiovascular risk OSA patients: A randomized, controlled trial. Sleep, 37, 1863-1870.
155. Meuret, A. E., Rosenfield, D., Seidel, A., Bhaskara, L., & Hofmann, S. G. (2010). Respiratory and cognitive mediators of treatment change in panic disorder: Evidence for intervention specificity. Journal of Consulting and Clinical Psychology, 78, 691.
156. Miklowitz, D. J., Goodwin, G. M., Bauer, M. S., & Geddes, J. R. (2008). Common and specific elements of psychosocial treatments for bipolar disorder: A survey of clinicians participating in randomized trials. Journal of Psychiatric Practice, 14, 77.
157. Miklowitz, D. J., Price, J., Holmes, E. A., Rendell, J., Bell, S., Budge, K., . . . Armstrong, N. M. (2012). Facilitated integrated mood management for adults with bipolar disorder. Bipolar Disorders, 14, 185-197.
158. Miner, A., Kuhn, E., Hoffman, J. E., Owen, J. E., Ruzek, J. I., & Taylor, C. B. (2016). Feasibility, acceptability, and potential efficacy of the PTSD Coach app: A pilot randomized controlled trial with community trauma survivors. Psychological Trauma: Theory, Research, Practice, and Policy, 8, 384.
159. Miralles, I., Granell, C., García-Palacios, A., Castilla, D., González- Pérez, A., Casteleyn, S., & Bretón-López, J. (2020). Enhancing in vivo exposure in the treatment of panic disorder and agoraphobia using location-based technologies: A case study. Clinical Case Studies, 19, 145-159.
160. Mogg, K., & Bradley, B. P. (2005). Attentional bias in generalized anxiety disorder versus depressive disorder. Cognitive Therapy and Research, 29, 29-45.
161. Moghanibashi-Mansourieh, A. (2020). Assessing the anxiety level of Iranian general population during COVID-19 outbreak. Asian Journal of Psychiatry, 51, 102076.
162. Mondéjar, A. G., Silva-Calpa, G. F. M., Raposo, A. B., & Mograbi, D. C. (2019). BraPolar: An m-Health application for remote monitoring of people with bipolar disorder. In 2019 IEEE 7th International Conference on Serious Games and Applications for Health (SeGAH) (pp. 1-8). doi: https://doi.org/10.1109/SeGAH. 2019.8882469.
163. Moritz, S., Külz, A., Voderholzer, U., Hillebrand, T., McKay, D., & Jelinek, L. (2019). “Phobie à deux” and other reasons why clinicians do not apply exposure with response prevention in patients with obsessive–compulsive disorder. Cognitive Behaviour Therapy, 48, 162-176.
164. National Collaborating Centre for Mental Health (UK) (2010). Depression: The treatment and management of depression in adults (Updated Edition). Leicester (UK): British Psychological Society.
165. Nelson, B. W., Pettitt, A. K., Flannery, J. E., & Allen, N. B. (2020). Rapid assessment of psychological and epidemiological correlates of COVID-19 concern, financial strain, and health-related behavior change in a large online sample. Retrieved from https:// doi.org/10.31234/osf.io/jftze.
166. Niendam, T. A., Tully, L. M., Iosif, A. M., Kumar, D., Nye, K. E., Denton, J. C., . . . Pierce, K. M. (2018). Enhancing early psychosis treatment using smartphone technology: A longitudinal feasibility and validity study. Journal of Psychiatric Research, 96, 239-246.
167. Nitsch, M., Dimopoulos, C. N., Flaschberger, E., Saffran, K., Kruger, J. F., Garlock, L., . . . Jones, M. (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, e7.
168. Oh, J., Jang, S., Kim, H., & Kim, J. J. (2020). Efficacy of mobile appbased interactive cognitive behavioral therapy using a chatbot for panic disorder. International Journal of Medical Informatics, 140, 104171.
169. Ohannessian, R., Duong, T. A., & Odone, A. (2020). Global telemedicine implementation and integration within health systems to fight the COVID-19 pandemic: A call to action. JMIR Public Health and Surveillance, 6, e18810.
170. Olbrich, H., Stengler, K., & Olbrich, S. (2016). Smartphone based geo-feedback in obsessive compulsive disorder as facilitatory intervention: A case report. Journal of Obsessive-Compulsive and Related Disorders, 8, 75-78.
171. Owen, J. E., Kuhn, E., Jaworski, B. K., McGee-Vincent, P., Juhasz, K., Hoffman, J. E., & Rosen, C. (2018). VA mobile apps for PTSD and related problems: Public health resources for veterans and those who care for them. Mhealth, 4, 28.
172. Parak, J., Tarniceriu, A., Renevey, P., Bertschi, M., Delgado-Gonzalo, R., & Korhonen, I. (2015). Evaluation of the beat-to-beat detection accuracy of PulseOn wearable optical heart rate monitor. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 8099- 8102). doi: https://doi.org/10.1109/EMBC.2015.7320273.
173. Parker, L., Bero, L., Gillies, D., Raven, M., Grundy, Q. (2019). The “hot potato” of mental health app regulation: A critical case study of the australian policy arena. International Journal of Health Policy and Management, 8, 168-176.
174. Pascual-Vera, B., Roncero, M., Doron, G., & Belloch, A. (2018). Assisting relapse prevention in OCD using a novel mobile app–based intervention: A case report. Bulletin of the Menninger Clinic, 82, 390-406.
175. Pew Research. Mobile Fact Sheet. (2019). Retreived from http://www.pewinternet.org/fact-sheet/mobile/.
176. Pham, Q., Khatib, Y., Stansfeld, S., Fox, S., & Green, T. (2016). Feasibility and efficacy of an mHealth game for managing anxiety: “Flowy” randomized controlled pilot trial and design evaluation. Games for Health Journal, 5, 50-67.
177. Portnoy, J., Waller, M., & Elliott, T. (2020). Telemedicine in the era of COVID-19. The Journal of Allergy and Clinical Immunology: In Practice, 8, 1489-1491.
178. Prendergast, M., Podus, D., Finney, J., Greenwell, L., & Roll, J. (2006). Contingency management for treatment of substance use disorders: A meta‐analysis. Addiction, 101, 1546-1560.
179. Pulantara, I. W., Parmanto, B., & Germain, A. (2018). Clinical feasibility of a just-in-time adaptive intervention app (irest) as a behavioral sleep treatment in a military population: Feasibility comparative effectiveness study. Journal of Medical Internet Research, 20, e10124.
180. Quach, L. T., & Burr, J. A. (2020). Perceived social isolation, social disconnectedness and falls: The mediating role of depression. Aging & Mental Health, 1-6.
181. Reger, G. M., Skopp, N. A., Edwards-Stewart, A., & Lemus, E. L. (2015). Comparison of prolonged exposure (PE) coach to treatment as usual: A case series with two active duty soldiers. Military Psychology, 27, 287-296.
182. Research2Guidance. (2016). The current status and trends of the mHealth app market. In: R2G Berlin, Germany.
183. Research2Guidance. (2020). How corona impacts the global digital health industry. In: R2G Berlin, Germany.
184. Roepke, A. M., Jaffee, S. R., Riffle, O. M., McGonigal, J., Broome, R., & Maxwell, B. (2015). Randomized controlled trial of Super- Better, a smartphone-based/internet-based self-help tool to reduce depressive symptoms. Games for Health Journal, 4, 235-246.
185. Roncero, M., Belloch, A., & Doron, G. (2018). A novel approach to challenging OCD related beliefs using a mobile-app: An exploratory study. Journal of Behavior Therapy and Experimental Psychiatry, 59, 157-160.
186. Roncero, M., Belloch, A., & Doron, G. (2019). Can brief, daily training using a mobile app help change maladaptive beliefs? Crossover randomized controlled trial. JMIR mHealth and uHealth, 7, e11443.
187. Roy, D., Tripathy, S., Kar, S. K., Sharma, N., Verma, S. K., & Kaushal, V. (2020). Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic. Asian Journal of Psychiatry, 51, 102083.
188. Sachs, G. S., Guille, C., & McMurrich, S. L. (2002). A clinical monitoring form for mood disorders. Bipolar Disorders, 4, 323-327.
189. Sachs, G. S., Thase, M. E., Otto, M. W., Bauer, M., Miklowitz, D., Wisniewski, S. R., . . . Frank, E. (2003). Rationale, design, and methods of the systematic treatment enhancement program for bipolar disorder (STEP-BD). Biological Psychiatry, 53, 1028-1042.
190. Saeb, S., Zhang, M., Karr, C. J., Schueller, S. M., Corden, M. E., Kording, K. P., & Mohr, D. C. (2015). Mobile phone sensor correlates of depressive symptom severity in daily-life behavior: An exploratory study. Journal of Medical Internet Research, 17, e175.
191. Salari, N., Hosseinian-Far, A., Jalali, R., Vaisi-Raygani, A., Rasoulpoor, S., Mohammadi, M., . . . Khaledi-Paveh, B. (2020). Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: A systematic review and meta- analysis. Globalization and Health, 16, 1-11.
192. Santa Ana, E. J., Martino, S., & Gebregziabher, M. (2015). Impact of telehealth in-home-messaging devices on alcohol use in dually diagnosed veterans. Drug and Alcohol Dependence, 100, e197.
193. Santini, Z. I., Jose, P. E., Cornwell, E. Y., Koyanagi, A., Nielsen, L., Hinrichsen, C., . . . Koushede, V. (2020). Social disconnectedness, perceived isolation, and symptoms of depression and anxiety among older Americans (NSHAP): A longitudinal mediation analysis. The Lancet Public Health, 5, e62-e70.
194. Schaffer, A., Kreindler, D., Reis, C., & Levitt, A. J. (2013). Use of mental health telemetry to enhance identification and predictive value of early changes during augmentation treatment of major depression. Journal of Clinical Psychopharmacology, 33, 775-781.
195. Schlegl, S., Maier, J., Meule, A., & Voderholzer, U. (2020). Eating disorders in times of the COVID‐19 pandemic—results from an online survey of patients with anorexia nervosa. International Journal of Eating Disorders, 53, 1791-1800.
196. Schlosser, D. A., Campellone, T. R., Truong, B., Etter, K., Vergani, S., Komaiko, K., & Vinogradov, S. (2018). Efficacy of PRIME, a mobile app intervention designed to improve motivation in young people with schizophrenia. Schizophrenia Bulletin, 44, 1010-1020.
197. Schmaedeke, S., & Bischoff, C. (2015). Effects of smartphone-supported rehabilitation aftercare (eATROS) for depressive patients. Verhaltenstherapie, 25, 277-286.
198. Shapiro, J. R., Bauer, S., Andrews, E., Pisetsky, E., Bulik‐Sullivan, B., Hamer, R. M., & Bulik, C. M. (2010). Mobile therapy: Use of textmessaging in the treatment of bulimia nervosa. International Journal of Eating Disorders, 43, 513-519.
199. Shen, N., Levitan, M. J., Johnson, A., Bender, J. L., Hamilton-Page, M., Jadad, A. A. R., & Wiljer, D. (2015). Finding a depression app: A review and content analysis of the depression app marketplace. JMIR mHealth and uHealth, 3, e16.
200. Shevlin, M., McBride, O., Murphy, J., Miller, J. G., Hartman, T. K., Levita, L., . . . Stocks, T. V. (2020). Anxiety, depression, traumatic stress, and COVID-19 related anxiety in the UK general population during the COVID-19 pandemic. PsyArXiv, Retrieved from https://psyarxiv.com/hb6nq/download/?format=pdf.
201. Shingleton, R. M., Pratt, E. M., Gorman, B., Barlow, D. H., Palfai, T. P., & Thompson-Brenner, H. (2016). Motivational text message intervention for eating disorders: A single-case alternating treatment design using ecological momentary assessment. Behavior Therapy, 47, 325-338.
202. Smith, L., Jacob, L., Yakkundi, A., McDermott, D., Armstrong, N. C., Barnett, Y., . . . Tully, M. A. (2020). Correlates of symptoms of anxiety and depression and mental wellbeing associated with COVID-19: A cross-sectional study of UK-based respondents. Psychiatry Research, 291, 113138.
203. Solomou, I., & Constantinidou, F. (2020). Prevalence and predictors of anxiety and depression symptoms during the COVID-19 pandemic and compliance with precautionary measures: Age and sex matter. International Journal of Environmental Research and Public Health, 17, 4924.
204. Stawarz, K., Preist, C., Tallon, D., Wiles, N., & Coyle, D. (2018). User experience of cognitive behavioral therapy apps for depression: An analysis of app functionality and user reviews. Journal of Medical Internet Research, 20, e10120.
205. Steare, T., O’Hanlon, P., Eskinazi, M., Osborn, D., Lloyd-Evans, B., Jones, R., . . . Johnson, S. (2019). App to support recovery in early intervention services (ARIES) study: Protocol of a feasibility randomised controlled trial of a self-management smartphone application for psychosis. BMJ Open, 9, e025823.
206. Steare, T., O’Hanlon, P., Eskinazi, M., Osborn, D., Lloyd-Evans, B., Jones, R., . . . Johnson, S. (2020). Smartphone-delivered self-management for first-episode psychosis: The ARIES feasibility randomised controlled trial. BMJ Open, 10, e034927.
207. Stefana, A., Youngstrom, E. A., Jun, C., Hinshaw, S., Maxwell, V., Michalak, E., & Vieta, E. (2020). The COVID‐19 pandemic is a crisis and opportunity for bipolar disorder. Bipolar Disorders, 22, 641-643.
208. Stiles-Shields, C., Montague, E., Kwasny, M. J., & Mohr, D. C. (2019). Behavioral and cognitive intervention strategies delivered via coached apps for depression: Pilot trial. Psychological Services, 16, 233-238.
209. Stolz, T., Schulz, A., Krieger, T., Vincent, A., Urech, A., Moser, C., . . . Berger, T. (2018). A mobile app for social anxiety disorder: A three-arm randomized controlled trial comparing mobile and PC-based guided self-help interventions. Journal of Consulting and Clinical Psychology, 86, 493-504.
210. Stoyanov, S. R., Hides, L., Kavanagh, D. J., Zelenko, O., Tjondronegoro, D., & Mani, M. (2015). Mobile app rating scale: A new tool for assessing the quality of health mobile apps. JMIR mHealth and uHealth, 3, e27.
211. Teng, M. H., Hou, Y. M., Chang, S. H., & Cheng, H. J. (2019). Homedelivered attention bias modification training via smartphone to improve attention control in sub-clinical generalized anxiety disorder: A randomized, controlled multi-session experiment. Journal of Affective Disorders, 246, 444-451.
212. Tilley, P., & Rees, C. S. (2014). A clinical case study of the use of ecological momentary assessment in obsessive compulsive disorder. Frontiers in Psychology, 5, 339.
213. Torous, J., Staples, P., Shanahan, M., Lin, C., Peck, P., Keshavan, M., & Onnela, J. P. (2015). Utilizing a personal smartphone custom app to assess the patient health questionnaire-9 (PHQ-9) depressive symptoms in patients with major depressive disorder. JMIR Mental Health, 2, e8.
214. Treasure, J., Macare, C., Mentxaka, I. O., & Harrison, A. (2010). The use of a vodcast to support eating and reduce anxiety in people with eating disorder: A case series. European Eating Disorders Review, 18, 515-521.
215. Ustun, G. (2020). Determining depression and related factors in a society affected by COVID-19 pandemic. International Journal of Social Psychiatry, Manuscript submitted for publication.
216. Vaessen, T., Steinhart, H., Batink, T., Klippel, A., Van Nierop, M., Reininghaus, U., & Myin-Germeys, I. (2019). ACT in daily life in early psychosis: An ecological momentary intervention approach. Psychosis, 11, 93-104.
217. Van Drongelen, A., Boot, C. R., Hlobil, H., Twisk, J. W., Smid, T., & van der Beek, A. J. (2014). Evaluation of an mHealth intervention aiming to improve health-related behavior and sleep and reduce fatigue among airline pilots. Scandinavian Journal of Work, Environment & Health, 40, 557-568.
218. Van Rheenen, T. E., Meyer, D., Neill, E., Phillipou, A., Tan, E. J., Toh, W. L., & Rossell, S. L. (2020). Mental health status of individuals with a mood-disorder during the COVID-19 pandemic in Australia: Initial results from the COLLATE project. Journal of Affective Disorders, 275, 69-77.
219. Van Velsen, L., Beaujean, D. J., & van Gemert-Pijnen, J. E. (2013). Why mobile health app overload drives us crazy, and how to restore the sanity. BMC Medical Informatics and Decision Making, 13, 1-5.
220. Vidal-Alaball, J., Acosta-Roja, R., Hernández, N. P., Luque, U. S., Morrison, D., Pérez, S. N., . . . Vèrges, A. S. (2020). Telemedicine in the face of the COVID-19 pandemic. Atencion Primaria, 52, 418-422.
221. Voida, S., Matthews, M., Abdullah, S., Xi, M., Green, M., Jang, W. J., . . . Rabbi, M. (2013). Moodrhythm: Tracking and supporting daily rhythms. Paper presented at the Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (pp. 67-70).
222. Voida, S., Matthews, M., Abdullah, S., Xi, M., Green, M., Jang, W. J., . . . Rahman, T. (2013). Moodrhythm: tracking and supporting daily rhythms. In Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (pp. 67-70). doi: https://doi.org/10.1145/2494091.2494111.
223. Wahle, F., Kowatsch, T., Fleisch, E., Rufer, M., & Weidt, S. (2016). Mobile sensing and support for people with depression: A pilot trial in the wild. JMIR mHealth and uHealth, 4, e111.
224. Waltz, E. (2018). Pear approval signals FDA readiness for digital treatments. Nature Biotechnology, 36, 481-482.
225. Wang, Q. Q., Kaelber, D. C., Xu, R., & Volkow, N. D. (2020). COVID- 19 risk and outcomes in patients with substance use disorders: Analyses from electronic health records in the United States. Molecular Psychiatry, 14, 1-10.
226. Warmerdam, L., Riper, H., Klein, M. C., van de Ven, P., Rocha, A., Henriques, M. R., . . . Cuijpers, P. (2012). Innovative ICT solutions to improve treatment outcomes for depression: The ICT4Depression project. Annual Review of Cybertherapy and Telemedicine, 181, 339-343.
227. Watanabe, N., Horikoshi, M., Yamada, M., Shimodera, S., Akechi, T., Miki, K., . . . Tajika, A. (2015). Adding smartphone-based cognitive- behavior therapy to pharmacotherapy for major depression (FLATT project): Study protocol for a randomized controlled trial. Trials, 16, 293.
228. Waterman, L. Z., & Cooper, M. (2020). Self-administered EMDR therapy: Potential solution for expanding the availability of psychotherapy for PTSD or unregulated recipe for disaster? BJPsych Open, 6, e115.
229. Watts, S., Mackenzie, A., Thomas, C., Griskaitis, A., Mewton, L., Williams, A., & Andrews, G. (2013). CBT for depression: A pilot RCT comparing mobile phone vs. computer. BMC Psychiatry, 13, 49.
230. Wenze, S. J., Armey, M. F., & Miller, I. W. (2014). Feasibility and acceptability of a mobile intervention to improve treatment adherence in bipolar disorder: A pilot study. Behavior Modification, 38, 497-515.
231. Whiteside, S. P., Ale, C. M., Vickers Douglas, K., Tiede, M. S., & Dammann, J. E. (2014). Case examples of enhancing pediatric OCD treatment with a smartphone application. Clinical Case Studies, 13, 80-94.
232. World Health Organization. (2011). mHealth: new horizons for health through mobile technologies. mHealth: new horizons for health through mobile technologies.
233. Xiao, H., Zhang, Y., Kong, D., Li, S., & Yang, N. (2020). Social capital and sleep quality in individuals who self-isolated for 14 days during the coronavirus disease 2019 (COVID-19) outbreak in January 2020 in China. Medical Science Monitor: International Medical Journal Of Experimental and Clinical Research, 26, e923921- 923921.
234. Zaami, S., Marinelli, E., & Varì, M. R. (2020). New trends of substance abuse during COVID-19 pandemic: An International Perspective. Frontiers in Psychiatry, 11, 700.
235. Zulueta, J., Piscitello, A., Rasic, M., Easter, R., Babu, P., Langenecker, S. A., . . . Ryan, K. (2018). Predicting mood disturbance severity with mobile phone keystroke metadata: A biaffect digital phenotyping study. Journal of Medical Internet Research, 20, e241.