ArticleJournal of studies on alcohol and drugs2026
From Assessment to Intervention: Leveraging Ecological Momentary Assessment (EMA) to Develop a Personalized mobile-health (mHealth) Ecological Momentary Intervention (EMI) for Young Adults With ADHD and High-Risk Alcohol Use.
Article in Journal of studies on alcohol and drugs, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07654205 (Training Inhibitory Control Using Personalized Strategies), which is not on this map. Not yet cited in PubMed.
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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.
Training Inhibitory Control Using Personalized Strategies (TIPS): A Randomized Controlled Feasibility Trial of a Smartphone-Based Intervention for Alcohol Use in Young Adults With ADHD
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4 authors.
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Abstract
Ecological momentary assessment (EMA) can be a powerful and flexible tool for collecting data on alcohol use, particularly to understand proximal precursors and consequences. EMA can also be leveraged to inform the development of and deploy mobile-health (mHealth) interventions. This article describes the development of an mHealth ecological momentary intervention (EMI) for young adults with high-risk alcohol use and attention-deficit/hyperactivity disorder (ADHD). This novel intervention uses EMA as an intervention component to increase self-awareness via symptom monitoring. It also incorporates additional EMI components, including personalized feedback and behavioral strategy suggestions ("tips"), which operate synergistically with EMA questions and are tailored by EMA data. The theoretical underpinnings of this intervention are described, and its distinct relevance for young adults with ADHD who engage in high-risk alcohol use is discussed. The process of developing this mHealth EMI is detailed, including examining EMA data to generate intervention content, considering participant feedback through iterative pilot testing, and applying human-centered design methods with end users and community partners. Finally, practical considerations of this intervention approach are discussed, including unique benefits, key challenges, and exciting future opportunities.
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