Depression is common and disabling. Advances in telecommunications have greatly increased the possibilities for delivering behavioral interventions. Unfortunately, the initial results in this emerging field indicate that much work remains before viable systems can be implemented clinically. The mission of this Center is to develop and pilot novel systems of care that can provide efficacious, scalable, cost-effective, patient friendly technology assisted behavioral interventions (TABIs) for the treatment and prevention of depression. The Center's model proposes that adherence and efficacy can be enhanced by increasing support from humans, creating greater connectedness to patients in their environments, and developing new interfaces that are more conducive to promoting complex behavior change. To this end, we will propose a Technology Development Unit that will develop and refine three new technologies that address each of these areas, two pilot trials that will test novel interventions in the treatment and prevention of depression, and two measurement projects that will develop and evaluate metrics. The Technology Development Unit will 1) refine mobile phone technology that can continuously monitor patient behavior, environmental context, and mood, and can reach out to engage the patient at critical moments in his/her environment, 2) refine an online peer network that is specifically designed to activate participants to provide support and encourage accountability among its members, and 3) develop programmable virtual humans to support interpersonal skills training. Two pilot trials will 1) evaluate these technologies in the context of an internet treatment for depression in adults and 2) evaluate these technologies in the context of an internet treatment for prevention of depression in adolescents. Measurement projects will, using data collected in the pilot trials, evaluate measurement in two critical areas for TABIs: adherence and cost-effectiveness.

Public Health Relevance

Depression is a common and disabling disorder affecting 10% of Americans each year. Most people with depression experience barriers to receiving treatment and receive sub-optimal treatment if they do access treatment. This center will develop and test novel methods of using telecommunications technologies to extend treatment and prevention into the patient's environment, with the aim of making interventions more effective and more available. This center has the potential to open an entirely new set of treatment options for patients with depression.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Exploratory Grants (P20)
Project #
5P20MH090318-04
Application #
8705014
Study Section
Special Emphasis Panel (ZMH1-ERB-B (01))
Program Officer
Chambers, David A
Project Start
2011-08-04
Project End
2016-07-31
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
4
Fiscal Year
2014
Total Cost
$945,350
Indirect Cost
$243,759
Name
Northwestern University at Chicago
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
005436803
City
Chicago
State
IL
Country
United States
Zip Code
60611
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Tomasino, Kathryn N; Lattie, Emily G; Ho, Joyce et al. (2017) Harnessing Peer Support in an Online Intervention for Older Adults with Depression. Am J Geriatr Psychiatry 25:1109-1119
Mohr, David C; Lyon, Aaron R; Lattie, Emily G et al. (2017) Accelerating Digital Mental Health Research From Early Design and Creation to Successful Implementation and Sustainment. J Med Internet Res 19:e153
Lattie, Emily G; Ho, Joyce; Sargent, Elizabeth et al. (2017) Teens Engaged in Collaborative Health: The Feasibility and Acceptability of an Online Skill-Building Intervention for Adolescents at Risk for Depression. Internet Interv 8:15-26
Saeb, Sohrab; Cybulski, Thaddeus R; Schueller, Stephen M et al. (2017) Scalable Passive Sleep Monitoring Using Mobile Phones: Opportunities and Obstacles. J Med Internet Res 19:e118
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
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
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
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

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