JOURNAL OF THE CZECH PHARMACEUTICAL SOCIETY AND THE SLOVAK PHARMACEUTICAL SOCIETY

Čes. slov. farm. 2017, 66(2):55-61 | DOI: 10.36290/csf.2017.007

Mobile applications as good intervention tools for individuals with depression

Petra Marešová1,*, Blanka Klímová2, Kamil Kuča3
1 University of Hradec Kralove, Faculty of Informatics and Management, Department of Economics, Hradec Králové, Czech Republic
2 University of Hradec Kralove, Faculty of Informatics and Management, Czech Republic
3 University of Hradec Kralove, Center for Basic and Applied Research, University Hospital Hradec Kralove, Biomedical Research Center, Czech Republic

At present mental disorders affect approximately 450 million people around the world. Depressive disorder is probably one of the most serious disorders and as a type of chronic disease, it represents a global threat and burdens economic and social systems of both individuals and governments worldwide. One of these most recent non-pharmacological approaches is also the so-called mHealth (mobile health), the use of mobile devices for the practice of medicine and public health, which proves to be effective particularly in the early stages of depression.
The purpose of this article is to explore the most recent randomized controlled trial studies which indicate efficacy of the use of mobile applications in the detection, diagnostics or treatment of depression. The methods used in this study include a method of literature search of the studies focused on the impacts of individual applications for people with depression and on the specification of criteria evaluating quality of these applications.
The findings of the randomized controlled trials (RCT) show that there is a big potential of mobile applications in the detection, diagnostics, and treatment of depression, particularly in mild and moderate stages of the disease. They seem to be especially relevant for self-monitoring of depressive symptoms in the early stages of depression.
There is an urgent need of more longitudinal RCT in this field in order to prove conclusive efficacy of these mobile applications in the treatment of depression. The authors list the main strengths and weaknesses of mobile applications in the detection, diagnostics, and treatment of depression.

Keywords: mobile applications; depression; treatment
Grants and funding:

This study was supported by the research project The Czech Science Foundation (GACR) 2017 No. 15330/16/AGR Investment evaluation of medical device development run at the Faculty of Informatics and Management, University of Hradec Kralove, Czech Republic.

Received: January 16, 2017; Accepted: March 12, 2017; Published: February 1, 2017  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Marešová P, Klímová B, Kuča K. Mobile applications as good intervention tools for individuals with depression. Čes. slov. farm. 2017;66(2):55-61. doi: 10.36290/csf.2017.007.
Download citation

References

  1. mHealth Alliance. mHealth solutions for improving mental health and illnesses in the aging process, White Paper Series on mHealth and Aging, http://www.mhealthknowledge.org/sites/default/files/7_mHA-Aging-Paper3_092713.pdf (accessed 27 October 2016).
  2. Lönnqvist J. Major psychiatric disorders in suicide and suicide attempters. In: D. Wasserman and C. Wasserman (eds.), Oxford Textbook of Suicidology and Suicide Prevention: A Global Approach (pp. 275-286). Oxford: Oxford University Press 2009. Go to original source...
  3. Richards C. S., O'Hara M. The Oxford Handbook of Depression and Comorbidity. OUP 2014. Go to original source...
  4. Klimova B., Maresova P., Valis M., Hort J., Kuca K. Alzheimer's disease and language impairments: social intervention and medical treatment. Clin. Interv. Aging 2015; 10, 1401-1408. Go to original source... Go to PubMed...
  5. Maresova P., Mohelska H., Dolejs J., Kuca K. Socio-economic aspects of Alzheimer's disease. Current Alzheimer Research 2015; 12(9), 903-911. Go to original source... Go to PubMed...
  6. Evans W. D., Abroms L. C., Poropatich R., Nielsen P. E., Wallace J. L. Mobile health evaluation methods: the Text4baby case study. J. Health Commun. 2012; 17(1), 22-29. Go to original source... Go to PubMed...
  7. Research2guidance, mHealth App Developer Economics 2015, Free Report, p. 35.
  8. WHO, mHealth New Horizonts for health through mobile technologies. http://www.who.int/goe/publications/goe_mhealth_web.pdf (accessed 27 October 2016).
  9. Kohn R., Saxena S., Levav I., Saraceno B. The treatment gap in mental health care, Bulletin of the World Health Organization, vol. 82. 2004.
  10. Dellabella H. Top 10 mental health apps, http://www.psychiatryadvisor.com/top-10-mental-health-apps/slideshow/2608/ (accessed 27 October 2016).
  11. Powell A. C., Torous J., Chan S., Raynor G. S., Shwarts E., Shanahan M., Landman A. B. Interrater reliability of mHealth app rating measures: analysis of top depression and smoking cessation apps. JMIR 2016; 4(1), e15. Go to original source... Go to PubMed...
  12. Powell A. C., Landman A. B., Bates D. W. In search of a few good apps. JAMA 2014; 311(18), 1851-1852. Go to original source... Go to PubMed...
  13. Haller G., Haller D. M., Courvoisier D. S., Lovis C. Handheld vs. laptop computers for electronic data collection in clinical research: a crossover randomized trial, Journal of the American Medical Informatics Association 2009; 16, 651. Go to original source... Go to PubMed...
  14. iPhone in Business. Security Overview, http://images.apple.com/iphone/business/docs/iPhone_Security.pdf (accessed 27 October 2016).
  15. Palm webOS Security Overview for Enterprise, http://www.hpwebos.com/us/assets/pdfs/business/Palm_WhitePaper_Security.pdf (accessed 27 October 2016).
  16. Device Administration, http://developer.android.com/guide/topics/admin/device-admin.html (accessed 27 October 2016).
  17. Ozdalga E., Ozdalga A., Ahuja N. The smarphone in Medicine: a review of current and potential use among physicians and students. J. Med. Internet. Res. 2012; 14(5), e128. Go to original source... Go to PubMed...
  18. Khoja S., Scott R., Husyin N., et al. Impact of simple conventional and Telehealth solutions on improving mental health in Afghanistan. J. Telemed. Telecare 2016; 22(8), 495-498. Go to original source... Go to PubMed...
  19. Maulik P. K., Tewari A., Devarapalli S., Kallakuri S., Patel A. The Systematic Medical Appraisal, Referral and Treatment (SMART) Mental Health Project: Development and Testing of Electronic Decision Support System and Formative Research to Understand Perceptions about Mental Health in Rural India. PLoS ONE 2016; 11(10), e0164404. doi:10.1371/journal.pone.0164404 Go to original source... Go to PubMed...
  20. Kim J., Lim S., Min Y. H., Shin Y. W., Lee B., Sohn G., Jung K. H., Lee J. H., Son B. H., Ahn S. H., Shin S. Y., Lee J. W. Depression Screening Using Daily Mental-Health Ratings from a Smartphone Application for Breast Cancer Patients. J. Med. Internet. Res. 2016; 18(8), e216. Go to original source... Go to PubMed...
  21. Kauer S. D., Reid S. C., Crooke A. H. D., Khor A., Hearps S. J. C., Jorm A. F., Sanci L., Patton G. Self-monitoring using mobile phones in the early stages of adolescent depression: randomized controlled trial. J. Med. Internet. Res. 2012; 14(3), e67. Go to original source... Go to PubMed...
  22. Kobak K. A., Mundt J. C., Kennard B. Integrating technology into cognitive behavior therapy for adolescent depression: a pilot study. Ann. Gen. Psychiatry 2015; 14, 37. Go to original source... Go to PubMed...
  23. Ly K. H., Janni E., Wiede R., Sedem M., Donker T., Carlberg P., Andersson G. Experiences of a guided smart-based behavioral activation therapy for depression: a qualitative study. Internet Interventions 2015; 2(1), 60-68. Go to original source...
  24. Proudfoot J., Clarke J., Birch M. R., Whitton A. E., Parker G., Manicavasagar V., Harrison V., Christensen H., Hadzi-Pavlovic D. Impact of a mobile phone and web program on symptom and functional outcomes for people with mild-to-moderate depression, anxiety and stress: a randomised controlled trial. BMC Psychiatry 2013; 13, 132. Go to original source... Go to PubMed...
  25. Watts S., Mackenzie A., Thomas C. H., et al. CBT for depression: a pilot RCT comparing mobile phone vs. Computer. BMC Psychiatry 2013; 13, 49. Go to original source... Go to PubMed...
  26. Whittaker R. A., Merrz S., McDowell H., Stasiak K., Shepherd M., Dohertz I., Ameratunga S. A multimedia mobile phone based programme to prevent depression in adolescents, https://researchspace.auckland.ac.nz/handle/2292/18935 (accessed 27 October 2016).
  27. Topolovec-Vranic J., Zhang S., Wong H., et al. Canadian Brain Injury and Violence Research Team. PLoS One 2015; 10(11), e0141699. doi:10.1371/journal.pone.0141699. Go to original source... Go to PubMed...
  28. Winslow B. D., Chadderdon G. L., Dechmerowski S. J., et al. Development and Clinical Evaluation of an mHealth Application for Stress Management. Frontiers in Psychiatry 2016; 7, 130. Go to original source... Go to PubMed...
  29. Ly K. H., Janni E., Wiede, R., Sedem, M., Donker, T., Carlberg, P., Andersson, G. Experiences of a guided smart-based behavioral activation therapy for depression: a qualitative study. Internet Interventions 2015; 2(1), 60-68. Go to original source...
  30. Andersson G., Titov N. Advantages and limitations of Internet-based interventions for common mental disorders. World Psychiatry 2014; 13(1), 4-11. Go to original source... Go to PubMed...
  31. East M. L., Harvard B. C. Mental health mobile apps: from infusion to diffusion in the mental health social system. JMIR 2016; 2(1). Go to original source... Go to PubMed...
  32. McCann E. HealthcareNews, http://www.healthcareitnews.com/news/novel-mhealth-app-detects-depression (accessed 27 October 2016).
  33. Hedman E, Ljótsson B, Lindefors N. Cognitive behavior therapy via the Internet: a systematic review of applications, clinical efficacy and cost-effectiveness. Expert. Rev. Pharmacoecon Outcomes Res. 2012; 12745-12764. Go to original source... Go to PubMed...
  34. Donker T., Petrie K., Proudfoot J., Clarke J., Birch M. R., Christensen H. Smartphones for smarter delivery of mental health programs: a systematic review. J. Med. Internet Res. 2013; 15, 11. Go to original source... Go to PubMed...
  35. Marešová P., Klímová B., Kuča K. Alzheimer disease: Cost cuts call for novel drugs development and national stratégy. Čes. slov. Farm. 2015; 64, 25-30. Go to original source...
  36. Marešová P., Mohleská H., Kuča K. Drugs and Health Care Expenditure on the Aging Population. Čes. slov. Farm. 2015; 64, 173-177. Go to original source...
  37. Marešová P., Klímová B., Krejcar O., Kuča K. Legislative aspects of the development of medical devices. Čes. slov. Farm. 2015; 64, 133-138. Go to original source...




Czech and Slovak Pharmacy

Madam, Sir,
please be aware that the website on which you intend to enter, not the general public because it contains technical information about medicines, including advertisements relating to medicinal products. This information and communication professionals are solely under §2 of the Act n.40/1995 Coll. Is active persons authorized to prescribe or supply (hereinafter expert).
Take note that if you are not an expert, you run the risk of danger to their health or the health of other persons, if you the obtained information improperly understood or interpreted, and especially advertising which may be part of this site, or whether you used it for self-diagnosis or medical treatment, whether in relation to each other in person or in relation to others.

I declare:

  1. that I have met the above instruction
  2. I'm an expert within the meaning of the Act n.40/1995 Coll. the regulation of advertising, as amended, and I am aware of the risks that would be a person other than the expert input to these sites exhibited


No

Yes

If your statement is not true, please be aware
that brings the risk of danger to their health or the health of others.