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Behavioral Informatics and Technology

Chair: Charles Jonassaint, PhD
Co-Chair: Lisa Cadmus-Bertram, PhD
Student Co-Chair: Manal Alabduljabbar, PhD

Description/Mission Statement

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.

SIG Minutes

Meeting minutes are available as PDF downloads.

 

2017 Annual Meeting

BIT SIG student poster award winners: Daniel Palac, Jennifer Warnick, and Bradley Kendall.

BIT SIG Trainee Award Winners

BIT SIG Trainee Awardees: Erin Tagai for Significance to the Field of Digital Health and Molly Tanenbaum for Innovation.

 

#TechSIG Feature – Each week, BIT features a recently published article that is relevant to digital health by promoting it on Twitter (@SBMDigitalHlth)

Have an article to share?

Featured papers must have been published or made available online within the past three months. Tweet your submission to @SBMDigitalHlth or email it to danielle.arigo@scranton.edu.

#TechSIG Featured Papers

6/01/17
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

6/08/17
Today's #TechSIG feature, by SIG chair @drjonassaint: racial #healthdisparities in #eHealth #CBT engagement.

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

6/15/17
Today's #TechSIG feature, by BIT co-chair @cadmus_bertram - validity test of #Fitbit One in men w/ #prostatecancer:

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

6/22/17
#TechSIG feature, by BIT members @DrChristineMay @DrSherryPagoto @DrMollyWaring #Weightloss support on Twitter:

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

6/29/17
@BehavioralMed Today's #TechSIG feature, by Nigg et al: #PokemonGO and #physicalactivity behaviors. #mHealth http://goo.gl/jKayJa 

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

7/06/17
#TechSIG feature: who engages with #weightloss apps, and how can we better tailor #mHealth to users' needs? #TBM

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

7/13/17
#TechSIG feature by @sciCarly: #depression → low #medicationadherence in #HF on complex regimens (w/#digital assmt).

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

7/21/17
#TechSIG by @SunnyJungKim: Engagement in a #Facebook-delivered #smoking intervention. #hcsm #eHealth http://www.jmir.org/2017/5/e168/

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

 

Twitter Chat

The BIT SIG held its first Twitter Chat on January 19, 2017. The chat discussed ways to overcome technology challenges in health research.