ArticleResearch square2026
User experience and real-world implementation of a peer-integrated digital health intervention for substance use disorder.
Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Digital health interventions (DHIs) are a promising tool for supporting recovery from substance use disorder (SUD), yet implementation in vulnerable populations remains a concern. We conducted a 30-day observational study of Realize, Analyze, Engage (RAE) Health, a wearable sensor based DHI in dyads of clients with SUD (N = 75) and peer recovery professionals (N = 16) from 11 US outpatient recovery programs. Outcomes include acceptability, engagement, usability, and sustainability with validated instruments. Clients demonstrated high acceptability (Treatment Acceptability and Preferences Measure score = 3.37/4) and usability (System Usability Scale = 70.9): peers demonstrated high usability (78.2) and favorable acceptability and sustainability. Mean client app connectivity was 13.8/30 days. No significant differences in outcomes were observed by client income, employment, or education. These findings support real-world implementation of a peer-integrated DHI for SUD and suggest that embedding peer support within a DHI may extend reach across socioeconomic backgrounds.
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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.