The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions

By David C. Mohr, Stephen M. Schueller, Enid N. H. Montague, M. Burns, Parisa Rashidi. Journal of Medical Internet Research, 2014

520 citations recorded by the source corpus.

A growing number of investigators have commented on the lack of models to inform the design of behavioral intervention technologies (BITs). BITs, which include a subset of mHealth and eHealth interventions, employ a broad range of technologies, such as mobile phones, the Web, and sensors, to support users in changing behaviors and cognitions related to health, mental health, and wellness. We propose a model that conceptually defines BITs, from the clinical aim to the technological delivery framework. The BIT model defines both the conceptual and technological architecture of a BIT. Conceptually, a BIT model should answer the questions why, what, how (conceptual and technical), and when. While BITs generally have a larger treatment goal, such goals generally consist of smaller intervention aims (the "why") such as promotion or reduction of specific behaviors, and behavior change strategies (the conceptual "how"), such as education, goal setting, and monitoring. Behavior change strategies are instantiated with specific intervention components or “elements” (the "what"). The characteristics of intervention elements may be further defined or modified (the technical "how") to meet the needs, capabilities, and preferences of a user. Finally, many BITs require specification of a workflow that defines when an intervention component will be delivered. The BIT model includes a technological framework (BIT-Tech) that can integrate and implement the intervention elements, characteristics, and workflow to deliver the entire BIT to users over time. This implementation may be either predefined or include adaptive systems that can tailor the intervention based on data from the user and the user’s environment. The BIT model provides a step towards formalizing the translation of developer aims into intervention components, larger treatments, and methods of delivery in a manner that supports research and communication between investigators on how to design, develop, and deploy BITs.

Subfields: Applied Psychology, General Health Professions, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/ab1383827cfefbb09df3831762a10e768e93bae1

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Citations in the corpus

Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop (2017, background): “Analysis of this very different pattern of engagement requires careful consideration of the relationship between the “micro” level of immediate engagement with the digital dimension of the intervention and the “macro” level of engagement with longer-term behavior change (see next section) [13].”
Systematic review of smartphone-based passive sensing for health and wellbeing (2017, background): “These emerging technologies may ultimately permit rapid and context-sensitive passive sensing, machine learning, and just-in-time personalized intervention delivery, especially if integrated within existing frameworks for behavior change technologies (e.g., [84]).”
The Person-Based Approach to Intervention Development: Application to Digital Health-Related Behavior Change Interventions (2015, background): “Theory-based approaches have provided valuable frameworks and models for anticipating and describing the likely influences on behavior [25-27], which can then be mapped onto appropriate behavior change techniques [28].”