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mHealth Research Challenges  Wendy Nilsen, PhD Office of Behavioral and Social Sciences Research National Institutes of He...
Office of Behavioral and Social Sciences Research (OBSSR) Mission <ul><li>…  to stimulate behavioral and social science re...
Moving “Hype” to Productivity
Continuum of  mHealth  tools
Rapid Explosion of Inputs & Data <ul><li>Continuous data integration with: </li></ul><ul><ul><li>Genetic data </li></ul></...
Research/Funding Challenges <ul><li>Technology development (rapid) versus NIH funding process (slow) timelines. </li></ul>...
Workshop on mHealth Evidence <ul><li>Collaboration between Robert Wood Johnson, McKesson foundation, NSF and NIH </li></ul...
2011 NIH mHealth Training Institutes <ul><li>Need  </li></ul><ul><ul><li>Improved use of mHealth products in clinical  and...
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Issues in Mobile Health (Wendy Nilsen)

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  • Transcript of "Issues in Mobile Health (Wendy Nilsen)"

    1. 1. mHealth Research Challenges Wendy Nilsen, PhD Office of Behavioral and Social Sciences Research National Institutes of Health
    2. 2. Office of Behavioral and Social Sciences Research (OBSSR) Mission <ul><li>… to stimulate behavioral and social science research throughout NIH and to integrate these areas of research more fully into others of the NIH health research enterprise, thereby improving our understanding, treatment, and prevention of disease. </li></ul>
    3. 3. Moving “Hype” to Productivity
    4. 4. Continuum of mHealth tools
    5. 5. Rapid Explosion of Inputs & Data <ul><li>Continuous data integration with: </li></ul><ul><ul><li>Genetic data </li></ul></ul><ul><ul><li>Electronic medical record data </li></ul></ul><ul><ul><li>Behavioral Sensors (e.g. actigraphy, sleep sensors) </li></ul></ul><ul><ul><li>Environmental Sensors (e.g., personal & fixed sensors) </li></ul></ul><ul><ul><li>Location Sensors (e.g. GIS, GPS) </li></ul></ul><ul><ul><li>Contextual Sensors (e.g. passive sensing of sound, noise, interpersonal nearness) </li></ul></ul><ul><ul><li>Ecological momentary sampling of symptoms, QOL, etc. </li></ul></ul><ul><li>High throughput analyses needed for complex, streaming data </li></ul>
    6. 6. Research/Funding Challenges <ul><li>Technology development (rapid) versus NIH funding process (slow) timelines. </li></ul><ul><li>Interdisciplinary research teams needed versus traditional academic model. </li></ul><ul><li>Research methodology for data collection/analysis. </li></ul><ul><li>NIH study sections – grant reviewers. </li></ul><ul><li>IRBs/HIPAA. </li></ul><ul><li>Getting to know who to talk to at NIH </li></ul>
    7. 7. Workshop on mHealth Evidence <ul><li>Collaboration between Robert Wood Johnson, McKesson foundation, NSF and NIH </li></ul><ul><li>Randomized control trials are challenging in the fast-paced world of technology. Need alternate methods </li></ul><ul><li>Workshop to assess the design and analytic possibilities for developing evidence in mHealth </li></ul><ul><li>August 16, 2011 at NIH </li></ul><ul><li>http://obssr.od.nih.gov/scientific_areas/methodology/mhealth/mhealth-workshop.aspx    </li></ul>
    8. 8. 2011 NIH mHealth Training Institutes <ul><li>Need </li></ul><ul><ul><li>Improved use of mHealth products in clinical and behavioral research </li></ul></ul><ul><ul><li>Increased collaboration and cross-fertilization across disciplines </li></ul></ul><ul><li>Plan </li></ul><ul><ul><li>5-day training for 28 participants </li></ul></ul><ul><ul><li>Develop skills to improve the design and research of mobile technologies </li></ul></ul>
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