Evidence map›Paper›PMID 32950400›Full record

ArticleContemporary clinical trials2020

Trial study design to test a bilingual digital health tool for alcohol use disorders among Latino emergency department patients.

Federico E Vaca, James Dziura, Fuad Abujarad, Michael V Pantalon, Allen Hsiao, Craig A Field, Gail D'Onofrio

Abstract readPublished ErratumCorrected and Republished Article
In one paragraph

Article in Contemporary clinical trials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Federico E VacaYale School of Medicine, Department of Emergency Medicine, 464 Congress Avenue, Suite 260, New Haven, CT 06519, United States of America. Electronic address: federico.vaca@yale.edu.
James DziuraYale School of Medicine, Department of Emergency Medicine, 464 Congress Avenue, Suite 260, New Haven, CT 06519, United States of America. Electronic address: james.dziura@yale.edu.
Fuad AbujaradYale School of Medicine, Department of Emergency Medicine, 464 Congress Avenue, Suite 260, New Haven, CT 06519, United States of America. Electronic address: fuad.abujarad@yale.edu.
Michael V PantalonYale School of Medicine, Department of Emergency Medicine, 464 Congress Avenue, Suite 260, New Haven, CT 06519, United States of America. Electronic address: michael.pantalon@yale.edu.
Allen HsiaoYale School of Medicine, Department of Emergency Medicine, 464 Congress Avenue, Suite 260, New Haven, CT 06519, United States of America; Yale School of Medicine, Department of Pediatrics, Section of Emergency Medicine, 100 York St, Suite 1F, New Haven, CT 06511, United States of America. Electronic address: allen.hsiao@yale.edu.
Craig A FieldUniversity of Texas at El Paso, Latino Alcohol and Health Disparities Research Center (LAHDR), Psychology Building; Rooms 102 and 104, The University of Texas at El Paso, El Paso, TX 79968, United States of America. Electronic address: cfield@utep.edu.
Gail D'OnofrioYale School of Medicine, Department of Emergency Medicine, 464 Congress Avenue, Suite 260, New Haven, CT 06519, United States of America. Electronic address: gail.donofrio@yale.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Automated Bilingual Computerized Alcohol Screening & Intervention in LatinosR01AA022083 · NIAAA · YALE UNIVERSITY · PI VACA, FEDERICO E · 2014 to 2018
$3.1M
NCATS NIH HHS UL1 TR001863NIAAA NIH HHS R01 AA022083
6 · The paper itself

Abstract

We describe an emergency department (ED)-based, Latino patient focused, unblinded, randomized controlled trial to empirically test if automated bilingual computerized alcohol screening and brief intervention (AB-CASI), a digital health tool, is superior to standard care (SC) on measures of alcohol consumption, alcohol-related negative behaviors and consequences, and 30-day treatment engagement. The trial design addresses the full spectrum of unhealthy drinking from high-risk drinking to severe alcohol use disorder (AUD). In an effort to surmount known ED-based alcohol screening, brief intervention, and referral to treatment process barriers, while addressing racial/ethnic alcohol-related health disparities among Latino groups, this trial will purposively use a digital health tool and seek enrollment of English and/or Spanish speaking self-identified adult Latino ED patients. Participants will be randomized (1:1) to AB-CASI or SC, stratified by AUD severity and preferred language (English vs. Spanish). The primary outcome will be the number of binge drinking days assessed using the 28-day timeline followback method at 12 months post-randomization. Secondary outcomes will include mean number of drinks/week and number of episodes of driving impaired, riding with an impaired driver, injuries, arrests, and tardiness and days absent from work/school. A sample size of 820 is necessary to provide 80% power to detect a 1.14 difference between AB-CASI and SC in the primary outcome. Showing efficacy of this promising bilingual ED-based brief intervention tool in Latino patients has the potential to widely and efficiently expand prevention efforts and facilitate meaningful contact with specialized treatment services.

Indexed as

Alcohol screeningBehavioral interventionDigital healthEmergency departmentHealth disparitiesLatino

Identifiers

PMID32950400
PMCPMC7721867

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.