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How behavioral science can advance digital health

Publication ,  Journal Article
Pagoto, S; Bennett, GG
Published in: Translational Behavioral Medicine
September 1, 2013

The field of behavioral science has produced myriad data on health behavior change strategies and leveraged such data into effective human-delivered interventions to improve health. Unfortunately, the impact of traditional health behavior change interventions has been heavily constrained by patient and provider burden, limited ability to measure and intervene upon behavior in real time, variable adherence, low rates of implementation, and poor third-party coverage. Digital health technologies, including mobile phones, sensors, and online social networks, by being available in real time, are being explored as tools to increase our understanding of health behavior and to enhance the impact of behavioral interventions. The recent explosion of industry attention to the development of novel health technologies is exciting but has far outpaced research. This Special Section of Translational Behavioral Medicine, Smartphones, Sensors, and Social Networks: A New Age of Health Behavior Change features a collection of studies that leverage health technologies to measure, change, and/or understand health behavior. We propose five key areas in which behavioral science can improve the impact of digital health technologies on public health. First, research is needed to identify which health technologies actually impact behavior and health outcomes. Second, we need to understand how online social networks can be leveraged to impact health behavior on a large scale. Third, a team science approach is needed in the developmental process of health technologies. Fourth, behavioral scientists should identify how a balance can be struck between the fast pace of innovation and the much slower pace of research. Fifth, behavioral scientists have an integral role in informing the development of health technologies and facilitating the movement of health technologies into the healthcare system. © 2013 Society of Behavioral Medicine.

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Published In

Translational Behavioral Medicine

DOI

EISSN

1613-9860

ISSN

1869-6716

Publication Date

September 1, 2013

Volume

3

Issue

3

Start / End Page

271 / 276

Related Subject Headings

  • 52 Psychology
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 1112 Oncology and Carcinogenesis
  • 1103 Clinical Sciences
 

Citation

APA
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Pagoto, S., & Bennett, G. G. (2013). How behavioral science can advance digital health. Translational Behavioral Medicine, 3(3), 271–276. https://doi.org/10.1007/s13142-013-0234-z
Pagoto, S., and G. G. Bennett. “How behavioral science can advance digital health.” Translational Behavioral Medicine 3, no. 3 (September 1, 2013): 271–76. https://doi.org/10.1007/s13142-013-0234-z.
Pagoto S, Bennett GG. How behavioral science can advance digital health. Translational Behavioral Medicine. 2013 Sep 1;3(3):271–6.
Pagoto, S., and G. G. Bennett. “How behavioral science can advance digital health.” Translational Behavioral Medicine, vol. 3, no. 3, Sept. 2013, pp. 271–76. Scopus, doi:10.1007/s13142-013-0234-z.
Pagoto S, Bennett GG. How behavioral science can advance digital health. Translational Behavioral Medicine. 2013 Sep 1;3(3):271–276.
Journal cover image

Published In

Translational Behavioral Medicine

DOI

EISSN

1613-9860

ISSN

1869-6716

Publication Date

September 1, 2013

Volume

3

Issue

3

Start / End Page

271 / 276

Related Subject Headings

  • 52 Psychology
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 1112 Oncology and Carcinogenesis
  • 1103 Clinical Sciences