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.
Buis, L. R., Roberson, D. N., Kadri, R., Rockey, N. G., Plegue, M. A., Choe, H. M., & Richardson, C. R. (2017). Utilizing Consumer Health Informatics to Support Management of Hypertension by Clinical Pharmacists in Primary Care: Study Protocol. JMIR research protocols, 6(10).
Ram, N., Brinberg, M., Pincus, A. L., & Conroy, D. E. (2017). The questionable ecological validity of ecological momentary assessment: Considerations for design and analysis. Research in Human Development, 14(3), 253-270.
#TechSIG feature by BIT member @DaniArigo and colleagues: Pilot feasibility study of #HIIT vs. endurance #exercise (+ #Fitbit) for #weightloss among #postmenopausal women. http://goo.gl/mkVUry #Wearables #WomensHealth
Grossman, J. A., Arigo, D., & Bachman, J. L. (2017). Meaningful weight loss in obese postmenopausal women: A pilot study of high-intensity interval training and wearable technology. Menopause (New York, NY).
Fanning, J., Roberts, S., Hillman, C. H., Mullen, S. P., Ritterband, L., & McAuley, E. (2017). A smartphone “app”-delivered randomized factorial trial targeting physical activity in adults. Journal of Behavioral Medicine, 1-18.
#TechSIG feature by BIT members @APfam @SpringLabTeam: improving recruitment and retention in an #mHealth clinical trial by responding to population's feedback. #DigitalHealth http://mhealth.amegroups.com/article/view/17200 …
Pfammatter, A. F., Mitsos, A., Wang, S., Hood, S. H., & Spring, B. (2017). Evaluating and improving recruitment and retention in an mHealth clinical trial: an example of iterating methods during a trial. mHealth, 3.
Carter-Harris, L., Comer, R. S., Goyal, A., Vode, E. C., Hanna, N., Ceppa, D., & Rawl, S. M. (2017). Development and Usability Testing of a Computer-Tailored Decision Support Tool for Lung Cancer Screening: Study Protocol. JMIR research protocols, 6(11).
#TechSIG feature by BIT members @JessicaYBreland @lmquinti @DrKrisSchneider @DrChristineMay & today's #SBMGrandRounds presenter @DrSherryPagoto: #SocialMedia to Increase Impact of #PublicHealth Research (DM for full text).
Breland, J. Y., Quintiliani, L. M., Schneider, K. L., May, C. N., & Pagoto, S. (2017). Social Media as a Tool to Increase the Impact of Public Health Research. American Journal of Public Health Research, 107, 1890–1891.
The BIT SIG held its first Twitter Chat on January 19, 2017. The chat discussed ways to overcome technology challenges in health research.