Realizing the Potential of Mobile Mental Health: New Methods for New Data in Psychiatry

Details

• Alternative Title:
  Curr Psychiatry Rep
• Personal Author:
  Torous, John ; Staples, Patrick ; Onnela, Jukka-Pekka
• Description:
  Smartphones are now ubiquitous and can be harnessed to offer psychiatry a wealth of real-time data regarding patient behavior, self-reported symptoms, and even physiology. The data collected from smartphones meet the three criteria of big data: velocity, volume, and variety. Although these data have tremendous potential, transforming them into clinically valid and useful information requires using new tools and methods as a part of assessment in psychiatry. In this paper, we introduce and explore numerous analytical methods and tools from the computational and statistical sciences that appear readily applicable to psychiatric data collected using smartphones. By matching smartphone data with appropriate statistical methods, psychiatry can better realize the potential of mobile mental health and empower both patients and providers with novel clinical tools.
• Subjects:
  Cell Phone Humans Mental Health Psychiatry Self Report Smartphone Surveys And Questionnaires Telemedicine Text Messaging
• Keywords:
  Big Data Mobile Smartphones Statistical Methods Technology
• Source:
  Curr Psychiatry Rep. 17(8):602
• Pubmed ID:
  26073363
• Pubmed Central ID:
  PMC4608747
• Document Type:
  Journal Article
• Funding:
  DP2 MH103909/MH/NIMH NIH HHSUnited States/ ; T32 ES007142/ES/NIEHS NIH HHSUnited States/ ; 1DP2MH1039099-01/DP/NCCDPHP CDC HHSUnited States/ ; 95T32ES0071429-32/ES/NIEHS NIH HHSUnited States/
• Volume:
  17
• Issue:
  8
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha-512:9d3a835490863b624817ff6d1da524efb1eb589e8632dd00784d0dac99b95eba7f849f9f884a2716dcff337c653b5021fce9cae52c6cea4a4bee2cfc134c9e20
• Download URL:
  https://stacks.cdc.gov/view/cdc/34997/cdc_34997_DS1.pdf
• File Type:
  [PDF - 267.25 KB ]