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SBM 2019

Mar 2019: Panel at SBM 2019

SBM 2019: 40th Annual Meeting and Scientific Sessions of Society of Behavioral Medicine, March 2019, USA

6-9 March 2019, The Digital Health Council organizes a Panel Titled “Interdisciplinary, collaborative models of designing, implementing, and evaluating digital behavior change interventions” (Web), at the 40th Annual Meeting and Scientific Sessions of Society of Behavioural Medicine (SBM), Washington, DC, USA. Prof. Wac participates in a Panel discussion.

Full citation

Madalina Sucala, Katarzyna Wac, Donna Spruijt-Metz. “Interdisciplinary, Collaborative Models Of Designing, Implementing, And Evaluating Digital Behavior Change Interventions.” In Annals Of Behavioral Medicine, Vol. 53, Pp. S187-S187. Journals Dept, 2001 Evans Rd, Cary, Nc 27513 Usa: Oxford Univ Press Inc, 2019.

Abstract The rapid expansion of technology promises to transform the behavior science field by revolutionizing the ways in which individuals can monitor and improve their health behaviors. Wearables and smartphone apps are permeating the healthcare space and bringing the promise that such technology can foster behavior change across a wide spectrum of health and wellbeing goals, from smoking cessation, chronic disease management, to improved physical activity and nutrition behaviors. To fully live into this promise, the field has to face and address its challenges, amongst which: building interventions that are not only scientifically sound, but also engaging; using evaluation methods to precisely assess intervention components for continuous intervention optimization; building adaptive interventions that acknowledge and respond to the continuously-changing individual and contextual variables. The purpose of this panel is to provide frameworks to address these challenges by leveraging behavior science, human-centered design, and data science expertise throughout the cycle of developing, implementing, and evaluating digital behavior change interventions. Current models and practices for intervention development and evaluation, as well as technology industry models for product development will be reviewed. Case examples from industry and academia will be provided, covering each phase from development to evaluation, to discuss the optimal practices, necessary stakeholders, and recommended research methods. The proposed frameworks and checklists might inform practices in both academia and industry, as well as highlight the need to offer collaboration platforms for partnerships that can lead to more effective digital behavior change interventions.