The Behavioral Informatics and Technology Special Interest Group (BIT SIG), formerly known as the Technology SIG, is designed as a forum for members of the Society of Behavioral Medicine with an interest in the impact of information and communication technology on health behavior outcomes and processes. Our working definition of "behavioral informatics" incorporates the study of the use of these technologies by patients and healthcare providers as well as the design, implementation and evaluation of behavior change interventions delivered through advanced technologies. The goal is to promote the appropriate use of technologies to improve health and health care.
BIT SIG student poster award winners: Daniel Palac, Jennifer Warnick, and Bradley Kendall.
BIT SIG Trainee Awardees: Erin Tagai for Significance to the Field of Digital Health and Molly Tanenbaum for Innovation.
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Featured papers must have been published or made available online within the past three months. Tweet your submission to @SBMDigitalHlth or email it to firstname.lastname@example.org.
#TechSIG Featured Papers
Today's #TechSIG feature: understanding women's #physicalactivity lapses using #Fitbit & #socialnetworks. @daniarigo #wearables https://link.springer.com/article/10.1007/s10865-017-9846-y/fulltext.html …
Schumacher, L. M., Arigo, D., & Thomas, C. (2017). Understanding physical activity lapses among women: responses to lapses and the potential buffering effect of social support. Journal of Behavioral Medicine. doi:10.1007/s10865-017-9846-y
Jonassaint, C. R., Gibbs, P., Belnap, B. H., Karp, J. F., Abebe, K. K., & Rollman, B. L. (2017). Engagement and outcomes for a computerised cognitive–behavioural therapy intervention for anxiety and depression in African Americans. British Journal of Psychiatry Open,3(1), 1-5. doi:10.1192/bjpo.bp.116.003657
Blarigan, E. L., Kenfield, S. A., Tantum, L., Cadmus-Bertram, L. A., Carroll, P. R., & Chan, J. M. (2017). The Fitbit One Physical Activity Tracker in Men With Prostate Cancer: Validation Study. JMIR Cancer,3(1). doi:10.2196/cancer.6935
May, C. N., Waring, M. E., Rodrigues, S., Oleski, J. L., Olendzki, E., Evans, M., . . . Pagoto, S. L. (2016). Weight loss support seeking on twitter: the impact of weight on follow back rates and interactions. Translational Behavioral Medicine,7(1), 84-91. doi:10.1007/s13142-016-0429-1
Nigg, C. R., Mateo, D. J., & An, J. (2017). Pokémon GO May Increase Physical Activity and Decrease Sedentary Behaviors. American Journal of Public Health,107(1), 37-38. doi:10.2105/ajph.2016.303532
Serrano, K. J., Coa, K. I., Yu, M., Wolff-Hughes, D. L., & Atienza, A. A. (2017). Characterizing user engagement with health app data: a data mining approach. Translational Behavioral Medicine. doi:10.1007/s13142-017-0508-y
Goldstein, C. M., Gathright, E. C., Gunstad, J., Dolansky, M. A., Redle, J. D., Josephson, R., . . . Hughes, J. W. (2017). Depressive symptoms moderate the relationship between medication regimen complexity and objectively measured medication adherence in adults with heart failure. Journal of Behavioral Medicine,40(4), 602-611. doi:10.1007/s10865-017-9829-z
Kim, S. J., Marsch, L. A., Brunette, M. F., & Dallery, J. (2017). Harnessing Facebook for Smoking Reduction and Cessation Interventions: Facebook User Engagement and Social Support Predict Smoking Reduction. Journal of Medical Internet Research,19(5). doi:10.2196/jmir.6681
The BIT SIG held its first Twitter Chat on January 19, 2017. The chat discussed ways to overcome technology challenges in health research.