The organization and aims of the Center are guided by our conceptual framework. As displayed in Fig. 1, two critical goals for TABIs remain the enhancement of efficacy and adherence. Our Center Model is built upon models proposed by Eysenbach (35) Ritterband (36) and Mohr (37) . We propose three factors that affect efficacy and adherence in internet interventions. (38). 1) Human Support: There is growing evidence that support from clinicians can improve adherence to internet interventions far more than can non-human support (e.g. automated e-mails) (37,39-42). Human beings appear to have a unique ability to elicit a sense of accountability in adhering to behavioral treatments from their fellow humans (43). Web 2.0 allows a care system to harness networked users (i.e. peers), and to engineer interactions that support both adherence to treatment (e.g. logging in) as well as the quality of use (44). 2) Connectedness: This factor reflects the confinuity of contact between the user and the TABI care system. Telecommunicafions technologies (e-mail, telephone, mobile phones) permit more confinuous contact with users, which can extend more fully into the user's environment. Connectedness adds two potenfial improvements over simple internet interventions. First, they allow """"""""push"""""""" funcfions that can contact pafients, rather than relying on patients to contact the website. Second, they can potenfially permit more frequent monitoring (e.g. ecological momentary assessment;EMA) ofthe user in his/her environment and intervenfions that are fimed at crifical moments. 3) Presentation Characteristics: This factor typically refers to features of technology (e.g. use of audio and video, or degree of tailoring in a website) that may affect how the user interacts with it. Technologies are becoming available that permit much more interacfive, simulated environments that have the potenfial to provide unique avenues for learning. This factor reflects the continuity of contact between the user and the TABI care system. Telecommunications technologies (e-mail, telephone, mobile phones) permit more continuous contact with users, which can extend more fully into the user's environment. Connectedness adds two potential improvements over simple internet interventions. First, they allow

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Exploratory Grants (P20)
Project #
5P20MH090318-04
Application #
8705015
Study Section
Special Emphasis Panel (ZMH1-ERB-B)
Project Start
Project End
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
4
Fiscal Year
2014
Total Cost
$242,928
Indirect Cost
$83,380
Name
Northwestern University at Chicago
Department
Type
DUNS #
005436803
City
Chicago
State
IL
Country
United States
Zip Code
60611
Pisani, Anthony R; Wyman, Peter A; Mohr, David C et al. (2016) Human Subjects Protection and Technology in Prevention Science: Selected Opportunities and Challenges. Prev Sci 17:765-78
Vittengl, Jeffrey R; Jarrett, Robin B; Weitz, Erica et al. (2016) Divergent Outcomes in Cognitive-Behavioral Therapy and Pharmacotherapy for Adult Depression. Am J Psychiatry 173:481-90
Ho, Joyce; Corden, Marya E; Caccamo, Lauren et al. (2016) Design and evaluation of a peer network to support adherence to a web-based intervention for adolescents. Internet Interv 6:50-56
Saeb, Sohrab; Zhang, Mi; Karr, Christopher J et al. (2015) Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study. J Med Internet Res 17:e175
Miner, Adam S; Schueller, Stephen M; Lattie, Emily G et al. (2015) Creation and validation of the Cognitive and Behavioral Response to Stress Scale in a depression trial. Psychiatry Res 230:819-25
Saeb, Sohrab; Zhang, Mi; Kwasny, Mary M et al. (2015) The Relationship between Clinical, Momentary, and Sensor-based Assessment of Depression. Int Conf Pervasive Comput Technol Healthc 2015:
Saeb, Sohrab; Körding, Konrad; Mohr, David C (2015) Making Activity Recognition Robust against Deceptive Behavior. PLoS One 10:e0144795
Schueller, Stephen M; Mohr, David C (2015) Initial Field Trial of a Coach-Supported Web-Based Depression Treatment. Int Conf Pervasive Comput Technol Healthc 2015:
Ben-Zeev, Dror; Schueller, Stephen M; Begale, Mark et al. (2015) Strategies for mHealth research: lessons from 3 mobile intervention studies. Adm Policy Ment Health 42:157-67
Mohr, David C; Schueller, Stephen M; Riley, William T et al. (2015) Trials of Intervention Principles: Evaluation Methods for Evolving Behavioral Intervention Technologies. J Med Internet Res 17:e166

Showing the most recent 10 out of 18 publications