ArticleDrug and alcohol dependence reports2025
The feasibility of utilizing the open dynamic interaction network (ODIN) app to assess rEMA data across 30 days among those recovering from alcohol use disorders.
Article in Drug and alcohol dependence reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Preferences for an Experience Sampling Method-Based Tool as an Adjunct to Usual Treatment in Patients With Problem Substance Use: Qualitative Study.JMIR formative research · 2026Article
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Authors and funding
10 authors.
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Abstract
Preliminary data from a prospective micro-longitudinal study (30 days) that examined the co-evolution of return to use risk among people diagnosed with an alcohol use disorder (AUD) in residential substance treatment is presented. Data assessed the feasibility of using the open dynamic interaction network (ODIN) responsive ecological momentary assessment (rEMA). rEMA collected daily estimates on affect, urges, sober-support engagement, and use. The ODIN app administered twelve daily questions at established EMA times. GPS-identified sober support engagement and alcohol access exposure prompted additional questions. Of the eight hundred questions, most people answered 500 questions. Five-day estimates showed that 80 % of the participants answered between 80 and 100 questions (10-30 questions/day). The ODIN app acquired 95 % of GPS readings across 30 days (~288 GPS readings/day). Most were satisfied with the stability (84 %), look/feel (82 %), and ease of use (92 %) of the ODIN app. Participants also reported interest in longer assessments that prompted them to call a sponsor (85 %) or to use prevention skills (72 %). Preliminary findings show that the ODIN platform accurately and efficiently collects data amongst this population.
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