• DocumentCode
    1699172
  • Title

    PGIS: Electronic diary data integration with GPS data initial application in substance-abuse patients

  • Author

    Vahabzadeh, Massoud ; Mezghanni, Mustapha ; Lin, Jia-Ling ; Epstein, David H. ; Preston, Kenzie L.

  • Author_Institution
    DHHS, Nat. Inst. of Health, Baltimore, MD, USA
  • fYear
    2010
  • Firstpage
    474
  • Lastpage
    479
  • Abstract
    Quantification of exposure to psychosocial stressors and drug availability might assist in the prevention and treatment of substance-use problems. The core of such interventions lies in combining real-time self-report data (via Ecological Momentary Assessment, EMA) with real-time geolocation data (via GPS logging). Combining these types of data and linking the result with patients´ clinical research records has inherent technical challenges. In this paper, we describe how we have addressed those challenges with our Psychosocial Geolocation Integration System (PGIS), which we successfully used in two clinical studies involving polydrug-abusing participants.
  • Keywords
    Global Positioning System; data handling; medical computing; personal computing; psychology; social sciences computing; GPS data; GPS logging; PGIS; drug availability; ecological momentary assessment; electronic diary data integration; polydrug-abusing participants; psychosocial geolocation integration system; psychosocial stressors; real-time geolocation data; substance-abuse patients; substance-use problems; Batteries; Drugs; Geology; Global Positioning System; Real time systems; Satellites; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems (CBMS), 2010 IEEE 23rd International Symposium on
  • Conference_Location
    Perth, WA
  • ISSN
    1063-7125
  • Print_ISBN
    978-1-4244-9167-4
  • Type

    conf

  • DOI
    10.1109/CBMS.2010.6042691
  • Filename
    6042691