Evidence map›Paper›PMID 38985475›Full record

Trial reportJAMA network open2024

Disease-Tailored Brief Intervention for Alcohol Use Among Youths With Chronic Medical Conditions: A Secondary Analysis of a Randomized Clinical Trial.

Elissa R Weitzman, Machiko Minegishi, Fatma Dedeoglu, Laurie N Fishman, Katharine C Garvey, Lauren E Wisk, Sharon Levy

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02803567 (Trial of a Novel Brief Intervention on Health Behaviors for Youth With Chronic Medical), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT02803567 nacompletednot on this map

Trial of a Novel Brief Intervention on Health Behaviors for Youth With Chronic Medical

TypeinterventionalSponsorBoston Children's HospitalRan2017 to 2019Enrolled460ConditionsSubstance UseArmsBrief psycho-educational intervention
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Elissa R WeitzmanDivision of Addiction Medicine, Boston Children's Hospital, Boston, Massachusetts.
Machiko MinegishiDivision of Addiction Medicine, Boston Children's Hospital, Boston, Massachusetts.
Fatma DedeogluDepartment of Pediatrics, Harvard Medical School, Boston, Massachusetts.
Laurie N FishmanDepartment of Pediatrics, Harvard Medical School, Boston, Massachusetts.
Katharine C GarveyDepartment of Pediatrics, Harvard Medical School, Boston, Massachusetts.
Lauren E WiskDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine at the University of California, Los Angeles.
Sharon LevyDivision of Addiction Medicine, Boston Children's Hospital, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: In the US, 25% of youths have a chronic medical condition (CMC). Alcohol use is prevalent among youths with a CMC and is associated with treatment nonadherence, simultaneous exposure to contraindicated medications, poor self-care, and elevated rates of progression to heavy and problem use by young adulthood. Preventive interventions targeting these youths are scarce and lack evidence about longer-term risk-stratified effects. Objective: To evaluate the 12-month effects of a preventive intervention for alcohol use among youths with a CMC reporting baseline no or low-risk alcohol use vs high-risk alcohol use, testing the hypothesis of no difference. Design, Setting, and Participants: This presepecified secondary analysis used data from a 2-group, parallel randomized clinical trial of the Take Good Care (TGC) intervention. Convenience samples of youths (aged 14-18 years) with a CMC, such as type 1 diabetes, juvenile idiopathic arthritis, or inflammatory bowel disease, were randomly assigned to the intervention or treatment as usual (TAU) between May 11, 2017, and November 20, 2018, and were followed up for up to 12 months. High-risk alcohol use was defined as heavy episodic (binge) alcohol use in the past 3 months and alcohol-related blackouts, injuries, vomiting, or emergency department visits in the past 12 months. Data were analyzed from September 21, 2023, to February 3, 2024. Interventions: The self-administered, tablet computer-based TGC intervention was developed with patient and expert input, and it delivers disease-tailored psychoeducational content about the effects of alcohol use on overall health, disease processes, and treatment safety and efficacy. Main Outcomes and Measures: The main outcome was self-reported frequency of alcohol use (in days) over the past 3 months, measured by a single validated question. Maximum likelihood methods incorporating all available data were used assuming data missing at random. Results: The trial included 451 participants (229 female youths [50.8%]), with a mean (SD) age of 16.0 (1.4) years. Of these youths, 410 (90.9%) participated in the 12-month follow-up. At baseline, 52 youths (11.5%) reported high-risk alcohol use. Among participants with high-risk alcohol use, the observed mean (SD) frequency of alcohol use from baseline to the 12-month follow-up decreased in the intervention group (from 6.3 [4.6] to 4.9 [4.3] days) and increased in the TAU group (from 5.5 [4.9] to 9.0 [5.8] days), with an adjusted relative rate ratio of 0.60 (95% CI, 0.38 to 0.94). There were no group differences among youths reporting no or low-risk alcohol use. Conclusions and Relevance: In this trial of a brief chronic illness-tailored preventive intervention, medically vulnerable youths with a high risk of alcohol use and harm decreased alcohol use. These findings support the use of a personalized preventive intervention with this group. Trial Registration: ClinicalTrials.gov Identifier: NCT02803567.

Indexed as

Alcohol DrinkingAdolescentChronic DiseaseFemaleHumansMale

Identifiers

PMID38985475
PMCPMC11238030

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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.