Trial reportAddictive behaviors2018
Student engagement and comfort during a web-based personalized feedback intervention for alcohol and sexual assault.
Trial report in Addictive behaviors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Personalized normative feedback for hazardous drinking among college women: Differential outcomes by history of incapacitated rape.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023Trial
- Initial efficacy of a web-based alcohol and emotion regulation intervention for college women with sexual assault histories.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2021Trial
- An event-level evaluation of women's self-medicated drinking: The role of sexual assault severity, affect, and drinking motives.Psychological trauma : theory, research, practice and policy · 2023Article
- Barriers to addressing alcohol use in college sexual assault prevention: Where we stand and future steps.Current addiction reports · 2022Article
- A formative evaluation of a web-based intervention for women with a sexual assault history and heavy alcohol use.Psychological trauma : theory, research, practice and policy · 2021Article
- Surveying the Role of Analytics in Evaluating Digital Mental Health Interventions for Transition-Aged Youth: Scoping Review.JMIR mental health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
introductionThe purpose of this study was to investigate individual engagement and comfort during a web-based intervention for alcohol and sexual assault risk reduction.
methodsParticipants were 264 college women (aged 18-20) who reported engaging in heavy episodic drinking in the past month. Participants were randomized to either an intervention condition (alcohol, sexual assault risk reduction, or combined) or a control condition (full or minimal assessment). Participants rated their experiences during the procedures following the assessment or receipt of the intervention depending on condition. Survey usage information (e.g., time data, completion of intervention) was automatically recorded.
resultsMost participants completed the intervention as intended (in a reasonable amount of time, in private, without consuming substances). Women with a sexual assault history were most comfortable in the sexual assault risk reduction intervention, whereas women who frequently engaged in heavy episodic drinking were least comfortable in the alcohol intervention condition. Self-reported distraction was not impacted by personal relevance of the intervention, but was associated with setting of participation.
conclusionsResults suggest that most college women completed web-based personalized feedback interventions as designed, despite minimal discomfort.
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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.