The proposed Center will require the efficient and productive communication and coordination of activities among an interdisciplinary expert team (including behavioral scientists, technologists, health economists, service providers, implementation science experts and policy experts). Although many team members are located at the parent institution of the proposed Center (NDRI), a number of these members are geographically dispersed. We recognize that working with a geographically dispersed team presents novel challenges to ensure productive collaboration. In this section, we briefly review the importance of including a team of collaborators in the Center who are somewhat geographically dispersed and review empirical research identifying models of collaboration that promote optimal productivity among geographically dispersed teams. In the Approach section below, we provide details of our plan to effectively communicate and collaborate with experts within the Center using approaches that are grounded in this empirical literature. We further describe the planned organizational structure of the Center that will facilitate productive interchange across Center collaborators and allow the Center to maximally benefit from each collaborator's involvement.

National Institute of Health (NIH)
National Institute on Drug Abuse (NIDA)
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Dartmouth College
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Aronson, Ian David; Marsch, Lisa A; Rajan, Sonali et al. (2015) Computer-based video to increase HIV testing among emergency department patients who decline. AIDS Behav 19:516-22
Hieftje, Kimberly; Duncan, Lindsay R; Fiellin, Lynn E (2014) Novel methods to collect meaningful data from adolescents for the development of health interventions. Health Promot Pract 15:714-22
Chaple, Michael; Sacks, Stanley; McKendrick, Karen et al. (2014) Feasibility of a computerized intervention for offenders with substance use disorders: a research note. J Exp Criminol 10:105-127
Ben-Zeev, Dror; Brenner, Christopher J; Begale, Mark et al. (2014) Feasibility, acceptability, and preliminary efficacy of a smartphone intervention for schizophrenia. Schizophr Bull 40:1244-53
Berman, Margit I; Buckey Jr, Jay C; Hull, Jay G et al. (2014) Feasibility study of an interactive multimedia electronic problem solving treatment program for depression: a preliminary uncontrolled trial. Behav Ther 45:358-75
Marsch, Lisa A; Guarino, Honoria; Acosta, Michelle et al. (2014) Web-based behavioral treatment for substance use disorders as a partial replacement of standard methadone maintenance treatment. J Subst Abuse Treat 46:43-51
Meredith, Steven E; Robinson, Andrew; Erb, Philip et al. (2014) A mobile-phone-based breath carbon monoxide meter to detect cigarette smoking. Nicotine Tob Res 16:766-73
Ramsey, Alex; Lord, Sarah; Torrey, John et al. (2014) Paving the Way to Successful Implementation: Identifying Key Barriers to Use of Technology-Based Therapeutic Tools for Behavioral Health Care. J Behav Health Serv Res :
Marsch, Lisa A; Carroll, Kathleen M; Kiluk, Brian D (2014) Technology-based interventions for the treatment and recovery management of substance use disorders: a JSAT special issue. J Subst Abuse Treat 46:1-4
Marsch, Lisa A; Gustafson, David H (2013) The Role of Technology in Health Care Innovation: A Commentary. J Dual Diagn 9:101-103

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