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Our Projects

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With funding from the NIH and other sources, our work has focused on the development and evaluation of innovative, technology-based behavioral interventions to promote cigarette smoking cessation and other health-related behavior. We pioneered the development of technology-based contingency management to eliminate distance as a barrier to treatment for cigarette smoking and other health behavior.

We have extended these methods to promote adherence to self-monitoring of blood glucose in adolescents diagnosed with Type 1 diabetes, and to promote physical activity in sedentary adults.  We were the first to deploy a group-based CM procedure using technology, to promote smoking cessation. Under the group procedure, small teams of smokers work together to earn incentives, and they can communicate and support each other via an integrated discussion board.

In the human lab, we have conducted translational research focused on behavioral treatments for smoking cessation, and we are exploring quantitative models of choice and decision making. For example, we have found that although exercise appears to reduce the craving the smoke, it does not produce greater decreases in smoking relative to a lab-based contingency management procedure.  Recently, using a delay discounting model of decision making, we found surrogate decision makers show higher rates of discounting when choices are made from the perspective of a smoker.

We have worked with collaborators from the Johns Hopkins School of Medicine, Fred Hutchinson Cancer Center, Rowan University, University of Oklahoma Medical Center, The Giesel School of Medicine at Dartmouth College, Yale University, Western Michigan University, The University of Kentucky, and others.

Current Funding

  • Patient Centered Outcomes Research Institutes. Comparative Effectiveness of Mobile Health Smoking Cessation Approaches among Underserved Patients in Primary Care. PI: J. Dallery, (MPI: R. Salloum).  3/1/22 – 8/31/27
  • National Institutes of Health. Interventions to improve alcohol-related comorbidities along the gut-brain axis in persons with HIV infection.  Co-I: Dallery, PI: R. Cook.
  • National Cancer Institute.   Mobile Contingency Management for Smoking Cessation among Socioeconomically Disadvantaged Adults.  Co-I: J. Dallery, PI: D. Kenzdor.
  • Tryp Therapeutics, A Phase 2a Safety and Feasibility Study Evaluating Psilocybin (TRP-8802) Administration in Concert with Psychotherapy in the Treatment of Binge Eating Disorder. Co-I & Lead Psychologist, J. Dallery, PI: J. Miller.

Representative publications

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  1. Dallery, J., Stinson, L., Bolívar, H., Modave, F., Salloum, R. G., Viramontes, T. M., & Rohilla, P. (2021). mMotiv8: A smartphone-based contingency management intervention to promote smoking cessation. Journal of Applied Behavior Analysis, 54(1), 38–53. https://doi.org/10.1002/jaba.800
  2. J., Raiff, B. R., Grabinski, M., & Marsch, L. A. (2019). Technology-based contingency management in the treatment of substance use disorders.  Perspectives on Behavior Science, 42(3):445-464.    PMCID 6768925
  3. Dallery, J., Jarvis, B. P., Marsch, L., & Xie, H. (2014). Mechanisms of change associated with technology-based interventions for substance use. Drug and Alcohol Dependence, 150, 14-23. doi: 10.1016/j.drugalcdep.2015.02.036. PMCID 4386723
  4. Marsch, L.A., Lord, S.E. & Dallery, J. (Eds.), (2014). Behavioral Health Care and Technology: Using Science-based Innovations to Transform Practice. Oxford University Press.
  5. de Cola, B., & Dallery, J. (2020). Delay discounting rate by a surrogate decision maker depends on the smoking status of the recipient. Experimental and clinical psychopharmacology, 10.1037/pha0000356. Advance online publication. https://doi.org/10.1037/pha0000356
  6. Bolívar, H. A., & Dallery, J. (2020). Effects of response cost magnitude on resurgence of human operant behavior. Behavioural processes, 178, 104187. https://doi.org/10.1016/j.beproc.2020.104187
  7. Cox, D. J., & Dallery, J. (2018). Verbal behavior and risky choice in humans: Exploring the boundaries of the description-experience gap.  Behavioural Processes, 157:301-308.
  8. Bolivar, H., Cox, D., Barlow, M. (2017). Evaluating Resurgence Procedures in a Human Operant Laboratory.  Behavioural Processes, 140:150-160.

*Click here for a complete list of published work by Dr. Jesse Dallery