Trial reportPrevention science : the official journal of the Society for Prevention Research2015
Effects of Personalized Feedback Interventions on Drug-Related Reoffending: a Pilot Study.
Trial report in Prevention science : the official journal of the Society for Prevention Research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
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, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.
- Criminal reactions to drug-using offenders: A systematic review of the effect of treatment and/or punishment on reduction of drug use and/or criminal recidivism.Frontiers in psychiatry · 2023Pooled it
- Effectiveness of psychological interventions in prison to reduce recidivism: a systematic review and meta-analysis of randomised controlled trials.The lancet. Psychiatry · 2021Pooled it
- A Change Talk Model for Abstinence Based on Web-Based Anonymous Gambler Chat Meeting Data by Using an Automatic Change Talk Classifier: Development Study.Journal of medical Internet research · 2021Article
- Analysis of associations between emotions and activities of drug users and their addiction recovery tendencies from social media posts using structural equation modeling.BMC bioinformatics · 2020Article
- Craving for Gambling Predicts Income-Generating Offenses: A Pathways Model of a Japanese Prison Population.Journal of gambling studies · 2020Article
- Normative Substance Use Antecedents among Sexual Minorities: A Scoping Review and Synthesis.Psychology of sexual orientation and gender diversity · 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
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Addiction is serious problem that requires effective treatment. Previous studies support personalized feedback interventions (PFIs) as an effective treatment for drinking; however, the potential beneficial effects of this treatment on illegal drug use have not been explored. The present study examined the effects of PFIs in a sample of repetitive drug-related offenders. Participants were 50 repetitive drug-related offenders incarcerated in a Japanese prison. They were randomly assigned to the PFIs (n = 20) or control (n = 30) group. The PFIs group received six letters for 3 months, whereas the control group did not undergo any interventions. We defined relapse and recidivism as drug-related reoffending and reentering prison after release, respectively. In the 3.6-year follow-up analysis (range, 0.1-5.8 years), participants' criminal records were examined, and results indicated a decreased risk of relapse and recidivism for the PFIs group relative to the control group, even when controlling for age, educational level, number of prison terms, and sentence length. Thus, our findings suggest that PFIs reduce the likelihood of relapse and recidivism in drug-related offenders.
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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.