CBITs is one of the largest academic centers in the United States that is focused on technology and behavior change, with more than 50 funded projects, including more than 25 grants from the National Institutes of Health, as well as funding from Grand Challenges Canada, the Department of Defense, and the Centers for Medicaid and Medicare Innovation.
Within CBITs, our faculty work together on projects spanning diverse clinical areas (mental health, cancer, heart disease, HIV and many more), technology areas (human factors engineering, platform development, and use of sensor data), and contexts (medical care settings, mental health care settings, communities, and global health).
Behavioral intervention technologies (BITs) offer enormous potential to create and bolster relationships between people, their care providers, and peers. Connected health covers efforts to use social networks, coaches, and providers to improve the impact of and engagement with technology-based interventions.
Many behavioral intervention technologies (BITs) require intentional effort from the user to input data on a regular basis. This can quickly become burdensome, and often results in people stopping use of applications. Alternatively, sensor data available from mobile phones offers a potential window into the lives of users with no additional user burden.
Very few of the more than 40,000 health apps available on app stores have received any evaluation. Thus, users, clinicians, and payers do not know which are efficacious and which provide no benefit. The randomized controlled trial (RCT), the gold standard for evaluation of medications, devices, and therapies is insufficient in its current form.
Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study
Saeb, S., Zhang, M., Karr, C.J., Schueller, S.M., Corden, M., Kording, K.P., Mohr, D.C.
Journal of Medical Internet Research. 2015.
Web-based interventions for ulcerative colitis and crohn's disease: Systematic review and future directions
Stiles-Shields C, Keefer, L.
Clinical and Experimental Gastroenterology. 2015. doi: http://dx.doi.org/10.2147/CEG.S56069
The relationship between clinical, momentary, and sensor-based assessment of depression
Saeb, S, Zhang S, Karr CJ, Corden ME, Kwasny M, Mohr DC
Proc. Pervasive Health 2015, Istanbul, Turkey, May 20-23, 2015 (In Press).