General Topics on Health Behavior Interventions

General Topics on Health Behavior Interventions

Antman, E. M., & Harrington, R. A. (2012). Transforming clinical trials in cardiovascular disease: mission critical for health and economic well-being.JAMA, 308(17), 1743-1744.

Appel, L. J., Clark, J. M., Yeh, H. C., Wang, N. Y., Coughlin, J. W., Daumit, G., ... & Brancati, F. L. (2011). Comparative effectiveness of weight-loss interventions in clinical practice. New England Journal of Medicine, 365(21), 1959-1968.

Carcone, A. I., Naar-King, S., Brogan, K. E., Albrecht, T., Barton, E., Foster, T., ... & Marshall, S. (2013). Provider Communication Behaviors that Predict Motivation to Change in Black Adolescents with Obesity. Journal of Developmental & Behavioral Pediatrics, 34(8), 599-608.

Chapman, J. E., Sheidow, A. J., Henggeler, S. W., Halliday-Boykins, C. A., & Cunningham, P. B. (2008). Developing a measure of therapist adherence to contingency management: An application of the Many-Facet Rasch Model.Journal of child & adolescent substance abuse, 17(3), 47-68.

DeBar, L. L., Kindler, L., Keefe, F. J., Green, C. A., Smith, D. H., Deyo, R. A., ... & Feldstein, A. (2012). A primary care-based interdisciplinary team approach to the treatment of chronic pain utilizing a pragmatic clinical trials framework.Translational behavioral medicine, 2(4), 523-530.

Ji, Y., Liu, P., Li, Y., & Bekele, B. N. (2010). A modified toxicity probability interval method for dose-finding trials. Clinical Trials, 7(6), 653-663.

Ji, Y., & Wang, S. J. (2013). Modified Toxicity Probability Interval Design: A Safer and More Reliable Method Than the 3+ 3 Design for Practical Phase I Trials. Journal of Clinical Oncology, 31(14), 1785-1791.

Lauer, M. S. (2012). Time for a creative transformation of epidemiology in the United States. Jama, 308(17), 1804-1805.

Trial, S. E. M. I. (2013). Eliminating the “expensive” adjective for clinical trials.trial, 381(9867), 661-9.

Luke, D. A., & Harris, J. K. (2007). Network analysis in public health: history, methods, and applications. Annu. Rev. Public Health, 28, 69-93.

Wansink, B. (2014). Leveraging Inside Sources of Consumer Insights.

Factorial Design

Bakeman, R., Deckner, D. F., & Quera, V. (2005). Analysis of behavioral streams. Handbook of research methods in developmental science, 394-420.

Hammond, R. A. (2009). Peer reviewed: complex systems modeling for obesity research. Preventing chronic disease, 6(3).

Hammond, R. A., & Dubé, L. (2012). A systems science perspective and transdisciplinary models for food and nutrition security. Proceedings of the National Academy of Sciences, 109(31), 12356-12363.

Schoenwald, S. K., Garland, A. F., Chapman, J. E., Frazier, S. L., Sheidow, A. J., & Southam-Gerow, M. A. (2011). Toward the effective and efficient measurement of implementation fidelity. Administration and Policy in Mental Health and Mental Health Services Research, 38(1), 32-43.

Wansink, B. (2012). Behavioral Event Modeling: Identifying and Altering the Antecedents of Action.

Small n Study Design

Dallery, J., Cassidy, R. N., & Raiff, B. R. (2013). Single-case experimental designs to evaluate novel technology-based health interventions. Journal of medical Internet research, 15(2).

Dallery, J., & Raiff, B. R. Optimizing behavioral health interventions with single-case designs: from development to dissemination. Translational Behavioral Medicine, 1-14.

Estrin, D. (2014). Small data, where n= me. Communications of the ACM,57(4), 32-34.

Ridenour, T. A., Pineo, T. Z., Molina, M. M. M., & Lich, K. H. (2013). Toward rigorous idiographic research in prevention science: Comparison between three analytic strategies for testing preventive intervention in very small samples.Prevention science, 14(3), 267-278.

Shadish, W. R., Kyse, E. N., & Rindskopf, D. M. (2013). Analyzing data from single-case designs using multilevel models: New applications and some agenda items for future research. Psychological methods, 18(3), 385.

Adaptive Interventions

Nahum-Shani, I., Qian, M., Almirall, D., Pelham, W. E., Gnagy, B., Fabiano, G. A., ... & Murphy, S. A. (2012). Experimental design and primary data analysis methods for comparing adaptive interventions. Psychological methods, 17(4), 457.

Nahum-Shani, I., Qian, M., Almirall, D., Pelham, W. E., Gnagy, B., Fabiano, G. A., ... & Murphy, S. A. (2012). Q-learning: A data analysis method for constructing adaptive interventions. Psychological methods, 17(4), 478.

Seemann, J. (2012). Hybrid Insights: Where the Quantitative Meets the Qualitative. Rotman Magazine, Iss, 57-61.

Taveras, E. M., Marshall, R., Horan, C. M., Gillman, M. W., Hacker, K., Kleinman, K. P., ... & Simon, S. R. (2013). Rationale and design of the STAR randomized controlled trial to accelerate adoption of childhood obesity comparative effectiveness research. Contemporary clinical trials, 34(1), 101-108.

Valente, T. W. (2012). Network interventions. Science, 337(6090), 49-53.

· MOST

Collins, L. M., Baker, T. B., Mermelstein, R. J., Piper, M. E., Jorenby, D. E., Smith, S. S., ... & Fiore, M. C. (2011). The multiphase optimization strategy for engineering effective tobacco use interventions. Annals of behavioral medicine,41(2), 208-226.

· SMART

Lei, H., Nahum-Shani, I., Lynch, K., Oslin, D., & Murphy, S. A. (2012). A “SMART” design for building individualized treatment sequences. Annual review of clinical psychology, 8.

· JITAI

· Gustafson, D. H., McTavish, F. M., Chih, M. Y., Atwood, A. K., Johnson, R. A., Boyle, M. G., ... & Shah, D. (2014). A smartphone application to support recovery from alcoholism: a randomized clinical trial. JAMA psychiatry.

mHealth

Dryden, E. M., Hardin, J., McDonald, J., Taveras, E. M., & Hacker, K. (2012). Provider perspectives on electronic decision supports for obesity prevention.Clinical pediatrics, 51(5), 490-497.

Matthews, M., Abdullah, S., Gay, G., & Choudhury, T. (2014). Tracking Mental Well-Being: Balancing Rich Sensing and Patient Needs. Computer, 47(4), 36-43.

Sim, I. Making sense of mobile health data: An open architecture to improve individual and population level health.

Spring, B., Schneider, K., McFadden, H. G., Vaughn, J., Kozak, A. T., Smith, M., ... & Lloyd-Jones, D. M. (2012). Multiple behavior changes in diet and activity: a randomized controlled trial using mobile technology. Archives of internal medicine, 172(10), 789-796.

Spring, B., Duncan, J. M., Janke, E. A., Kozak, A. T., McFadden, H. G., DeMott, A., ... & Hedeker, D. (2013). Integrating technology into standard weight loss treatment: a randomized controlled trial. JAMA internal medicine,173(2), 105-111.

Confereneces that might be of interest

National Healthcare Innovation Summit May 13-15, 2014 http://www.healthcareinnovationssummit.com/

Health Datapalooza June 1-3, 2014 http://healthdatapalooza.org/about/

Health Communities Data Summit June 11, 2014 http://www.hcdatasummit.org/about-the-summit/

Health 2.0 8th Annual Fall Conference September 21-24, 2014 http://www.health2con.com/events/conferences/health-2-0-fall-conference-2014/#venue

Health 2.0 Europe November 10-12, 2014

http://www.health2con.com/events/conferences/health-2-0-europe-2014/

mHealth + Telehealth World July 22-24, 2014

NIH mHealth Training Institute December 6-7, 2014

2014 mHealth Summit December 7-11, 2014