ArticleJournal of medical Internet research2020
The Adaptive Behavioral Components (ABC) Model for Planning Longitudinal Behavioral Technology-Based Health Interventions: A Theoretical Framework.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Progressing implementation of behavior change frameworks for digital health interventions: challenges and ways forward.Translational behavioral medicine · 2025Article
- Latent profiles of volume management behaviors and their relationship with symptom distress in patients with chronic heart failure.Frontiers in cardiovascular medicine · 2025Article
- Novel behaviour change frameworks for digital health interventions: A critical review.Journal of health psychology · 2023Review
- A Qualitative Exploration of the Potential Role of Using Online Social Media Support Communities to Increase Initiation of Medications for Opioid Use Disorder (MOUD).Journal of substance use · 2023Article
- Applying Cultural Intelligence to Improve Vaccine Hesitancy Among Black, Indigenous, and People of Color.The Nursing clinics of North America · 2022Review
- Antifragile Behavior Change Through Digital Health Behavior Change Interventions.JMIR formative research · 2022Article
- Technology-Delivered Intervention Strategies to Bolster HIV Testing.Current HIV/AIDS reports · 2021Review
- Facilitators and Inhibitors of Lifestyle Modification and Maintenance of KOREAN Postmenopausal Women: Revealing Conversations from FOCUS Group Interview.International journal of environmental research and public health · 2020Article
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1 author.
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Abstract
A growing number of interventions incorporate digital and social technologies (eg, social media, mobile phone apps, and wearable devices) into their design for behavior change. However, because of a number of factors, including changing trends in the use of technology over time, results on the efficacy of these interventions have been mixed. An updated framework is needed to help researchers better plan behavioral technology interventions by anticipating the needed resources and potential changes in trends that may affect interventions over time. Focusing on the domain of health interventions as a use case, we present the Adaptive Behavioral Components (ABC) model for technology-based behavioral interventions. ABC is composed of five components: basic behavior change; intervention, or problem-focused characteristics; population, social, and behavioral characteristics; individual-level and personality characteristics; and technology characteristics. ABC was designed with the goals of (1) guiding high-level development for digital technology-based interventions; (2) helping interventionists consider, plan for, and adapt to potential barriers that may arise during longitudinal interventions; and (3) providing a framework to potentially help increase the consistency of findings among digital technology intervention studies. We describe the planning of an HIV prevention intervention as a case study for how to implement ABC into intervention design. Using the ABC model to plan future interventions might help to improve the design of and adherence to longitudinal behavior change intervention protocols; allow these interventions to adapt, anticipate, and prepare for changes that may arise over time; and help to potentially improve intervention behavior change outcomes. Additional research is needed on the influence of each of ABC's components to help improve intervention design and implementation.
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