ArticleJournal of substance abuse treatment2021
An evaluation of StaySafe, a tablet app to improve health risk decision-making among people under community supervision.
Article in Journal of substance abuse treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed, 9 citations in OpenAlex.
- Decision-Making Styles as a Moderator on the Efficacy of theSubstance use & misuse · 2023Trial
- Acceptability, Feasibility, and Preliminary Efficacy of the Substance Use and Health Risk Intervention (SUHRI) for Youth on Probation.Journal of child & adolescent substance use · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundA self-administered tablet app, StaySafe, helps people under community supervision to make better decisions regarding health risk behaviors, especially those linked to HIV, viral hepatitis, and other sexually transmitted infections. The multi-session StaySafe design uses an interactive, analytical schema called WORKIT that guides users through a series of steps, questions, and exercises aimed at promoting critical thinking about health risks associated with substance use and unprotected sex. Repetition of the WORKIT schema is designed to enhance procedural memory that can be rapidly accessed when individuals are faced with making decisions about risky behaviors.
methodsA total of 511 participants under community supervision in community and residential treatment settings from three large Texas counties completed consent forms and baseline surveys, followed by randomization to one of two conditions: 12 weekly StaySafe sessions or standard practice (SP). The study also asked participants to complete a follow-up survey three months after baseline. Outcome measures included knowledge, confidence, and motivation (KCM) scales around HIV knowledge, avoiding risky sex, HIV services, and reducing health risks; decision-making; and reports of talking about issues such as making better decisions, avoiding HIV risks, and HIV prevention or treatment with others (probation officers, counselors, trusted friend or advisor, or family members).
resultsParticipants in both community and residential settings voluntarily completed multiple StaySafe sessions, with those in the residential settings completing more sessions. When compared with SP participants, StaySafe participants showed greater improvement in the KCM measures-HIV knowledge, avoiding sex risks, HIV services, and risk reduction skills. In addition, greater improvements in the KCM measures as well as an increased likelihood to discuss issues with others were associated with completing more StaySafe sessions.
conclusionThese results suggest that the StaySafe app is a feasible and potentially effective tool for improving health risk reduction decision-making for individuals under community supervision.
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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.