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The utility of smartphone-based, ecological momentary assessment for depressive symptoms

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  • Additional Information
    • Affiliation:
      a Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Canada
      b Department of Psychiatry, University of Toronto, Toronto, Canada
      c Department of Pharmacology, University of Toronto, Toronto, Canada
      d Brain and Cognition Discovery Foundation, Toronto, Canada
      e Institute of Medical Science, University of Toronto, Toronto, Canada
      f Department of Psychiatry, University of Texas Health Science Center, Houston, Texas, USA
      g School of Public Health, Peking University, Beijing 100191, P. R. China
      h Department of Affective Disorders, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
      i Academician workstation of Mood and Brain Sciences, Guangzhou Medical University, China
      j GMH Institute of CNS Regeneration, Jinan University, Guangzhou, China
      k Laboratory of Neuropsychology and Laboratory of Social Cognitive Affective, Neuroscience, Department of Psychology, University of Hong Kong, Hong Kong
      l Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore
      m Biomedical Global Institute of Healthcare Research & Technology (BIGHEART), National University of Singapore, Singapore 117599, Singapore
      n Centre of Excellence in Behavioral Medicine, Nguyen Tat Thanh University (NTTU), Ho Chi Minh City, 70000, Vietnam
      o Faculty of Education, Huaibei Normal University, 100 Dongshan Road, Huaibei, Anhui 235000, China
    • Keywords:
      Major Depressive Disorder
      Smartphone
      Ecological Momentary Assessment
      Passive Intervention
      Application
      Unobtrusive
    • Abstract:
      Highlights •Patient satisfaction with EMA technology indicate positive results, via surveys•Detection of MDD via EMA was mostly conducted via machine learning techniques•5 of 7 studies were able to significantly predict depression from phone sensor data•2 of 3 studies were able to decrease depressive symptoms via phone-based treatment
    • Abstract:
      Methods Online databases PubMed/MedLine and PsycINFO were searched using PRISMA guidelines and combinations of the following keywords: EMA, depression, smartphone app, diagnosing, symptoms, phone, app, ecological momentary assessment, momentary assessment, data mining, unobtrusive, passive data, GPS, sensor.
    • Abstract:
      Results A total of nineteen original articles were identified using our search parameters and ten articles met the inclusion criteria for full-text review. Among the ten relevant studies, three studies evaluated feasibility, seven evaluated detection, and three evaluated treatment of MDD.
    • Abstract:
      Limitations Limitations include that the design of all of the studies included in this review are non-randomized. It should be noted that most of the studies included were pilot studies and/or exploratory trials lacking a control group.
    • Abstract:
      Conclusions Available evidence suggests that the use of passive smartphone-based applications may lead to improved management of depressive symptoms. This review aids the creation of new EMA applications, highlights the potential of EMA usage in clinical settings and drug development, emphasizes the importance for regulation of applications in the mental health field, and provides insight into future directions.
    • ISSN:
      0165-0327
    • Accession Number:
      10.1016/j.jad.2020.05.116
    • Accession Number:
      S0165032719328095
    • Copyright:
      © 2020 Elsevier B.V. All rights reserved.
  • Citations
    • ABNT:
      YIM, S. J. et al. The utility of smartphone-based, ecological momentary assessment for depressive symptoms. Journal of Affective Disorders, [s. l.], v. 274, p. 602–609, 2020. DOI 10.1016/j.jad.2020.05.116. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edselp&AN=S0165032719328095. Acesso em: 23 set. 2020.
    • AMA:
      Yim SJ, Lui LMW, Lee Y, et al. The utility of smartphone-based, ecological momentary assessment for depressive symptoms. Journal of Affective Disorders. 2020;274:602-609. doi:10.1016/j.jad.2020.05.116
    • APA:
      Yim, S. J., Lui, L. M. W., Lee, Y., Rosenblat, J. D., Ragguett, R.-M., Park, C., Subramaniapillai, M., Cao, B., Zhou, A., Rong, C., Lin, K., Ho, R. C., Coles, A. S., Majeed, A., Wong, E. R., Phan, L., Nasri, F., & McIntyre, R. S. (2020). The utility of smartphone-based, ecological momentary assessment for depressive symptoms. Journal of Affective Disorders, 274, 602–609. https://doi.org/10.1016/j.jad.2020.05.116
    • Chicago/Turabian: Author-Date:
      Yim, Samantha J., Leanna M.W. Lui, Yena Lee, Joshua D. Rosenblat, Renee-Marie Ragguett, Caroline Park, Mehala Subramaniapillai, et al. 2020. “The Utility of Smartphone-Based, Ecological Momentary Assessment for Depressive Symptoms.” Journal of Affective Disorders 274 (September): 602–9. doi:10.1016/j.jad.2020.05.116.
    • Harvard:
      Yim, S. J. et al. (2020) ‘The utility of smartphone-based, ecological momentary assessment for depressive symptoms’, Journal of Affective Disorders, 274, pp. 602–609. doi: 10.1016/j.jad.2020.05.116.
    • Harvard: Australian:
      Yim, SJ, Lui, LMW, Lee, Y, Rosenblat, JD, Ragguett, R-M, Park, C, Subramaniapillai, M, Cao, B, Zhou, A, Rong, C, Lin, K, Ho, RC, Coles, AS, Majeed, A, Wong, ER, Phan, L, Nasri, F & McIntyre, RS 2020, ‘The utility of smartphone-based, ecological momentary assessment for depressive symptoms’, Journal of Affective Disorders, vol. 274, pp. 602–609, viewed 23 September 2020, .
    • MLA:
      Yim, Samantha J., et al. “The Utility of Smartphone-Based, Ecological Momentary Assessment for Depressive Symptoms.” Journal of Affective Disorders, vol. 274, Sept. 2020, pp. 602–609. EBSCOhost, doi:10.1016/j.jad.2020.05.116.
    • Chicago/Turabian: Humanities:
      Yim, Samantha J., Leanna M.W. Lui, Yena Lee, Joshua D. Rosenblat, Renee-Marie Ragguett, Caroline Park, Mehala Subramaniapillai, et al. “The Utility of Smartphone-Based, Ecological Momentary Assessment for Depressive Symptoms.” Journal of Affective Disorders 274 (September 1, 2020): 602–9. doi:10.1016/j.jad.2020.05.116.
    • Vancouver/ICMJE:
      Yim SJ, Lui LMW, Lee Y, Rosenblat JD, Ragguett R-M, Park C, et al. The utility of smartphone-based, ecological momentary assessment for depressive symptoms. Journal of Affective Disorders [Internet]. 2020 Sep 1 [cited 2020 Sep 23];274:602–9. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edselp&AN=S0165032719328095