ArticleJournal of medical Internet research2023
Supporting Adolescent Engagement with Artificial Intelligence-Driven Digital Health Behavior Change Interventions.
Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 4 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- Digital health interventions for promoting physical activity among adolescents: a systematic review.Frontiers in public health · 2026Pooled it
- The inclusion and impact of digital determinants of health in digital nutrition interventions for adolescents: a systematic review.Health promotion international · 2025Pooled it
- Planning, implementation, evaluation, and sustainment of digital health interventions for adolescent substance use prevention: a systematic review of influencing factors based on the RE-AIM framework.Health education research · 2025Pooled it
- Leveraging Artificial Intelligence for Substance Use Prevention Among Adolescents: A Systematic Review of Emerging Evidence.Inquiry : a journal of medical care organization, provision and financingPooled it
- Introducing Adolescents to the Social Dimensions of AI through Story-Driven Game-Based Learning.Artificial intelligence in education : 27th international conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, proceedings. Part VI. International Conference on Artificial Intelligence in Education (27th : 2026 : Seoul, Kore... · 2027Article
- Engagement of Users in Digital Health Applications: Scoping Review.JMIR mHealth and uHealth · 2026Article
- A Theory-Informed Narrative-Centered Model to Foster AI Literacy and Biomedical Career Interest.FDG : proceedings of the International Conference on Foundations of Digital Games. International Conference on the Foundations of Digital Games · 2026Article
- Lessons Learned from Co-Designing a Digital Health App for Foster Youth: Development and Usability Study.JMIR formative research · 2025Article
- Adolescents' Health in the Digital Era: Exploring Opportunities, Overcoming Challenges, and Implementing Public Health Interventions.International journal of preventive medicine · 2025Article
- Designing a Narrative-Centered Game to Promote AI Literacy and Health Career Exploration.IEEE Conference on Computational Intelligence and Games : [proceedings]. IEEE Conference on Computational Intelligence and Games · 2025Article
- Human centered design of AI-powered Digital Therapeutics for stress prevention: Perspectives from multi-stakeholders' workshops about the SHIVA solution.Internet interventions · 2024Article
- Role of Open AI (Artificial Intelligence)-Innovations in Health Behavior Change Interventions.Healthcare (Basel, Switzerland) · 2023Article
- Engagement of adolescents with ADHD in a narrative-centered game-based behavior change environment to reduce alcohol use.Frontiers in education · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Understanding and optimizing adolescent-specific engagement with behavior change interventions will open doors for providers to promote healthy changes in an age group that is simultaneously difficult to engage and especially important to affect. For digital interventions, there is untapped potential in combining the vastness of process-level data with the analytical power of artificial intelligence (AI) to understand not only how adolescents engage but also how to improve upon interventions with the goal of increasing engagement and, ultimately, efficacy. Rooted in the example of the INSPIRE narrative-centered digital health behavior change intervention (DHBCI) for adolescent risky behaviors around alcohol use, we propose a framework for harnessing AI to accomplish 4 goals that are pertinent to health care providers and software developers alike: measurement of adolescent engagement, modeling of adolescent engagement, optimization of current interventions, and generation of novel interventions. Operationalization of this framework with youths must be situated in the ethical use of this technology, and we have outlined the potential pitfalls of AI with particular attention to privacy concerns for adolescents. Given how recently AI advances have opened up these possibilities in this field, the opportunities for further investigation are plenty.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.