Evidence map›Paper›PMID 41923034›Full record

ArticleBMC public health2026

Barbershop talk: a hybrid-2 trial examining the effectiveness of a barbershop-placed screening, brief intervention, and referral (SBIRT) intervention.

Tiffany Haynes, Nakita Lovelady, Camille Hart, Amber Hill, Tamier Wells, Alice Gardner, James Selig, Michael Cucciare

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05609344 (Barbershop Talk), which is not on this map. Not yet cited in PubMed.

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

NCT05609344 naactive not recruitingnot on this map

Barbershop Talk: Reducing Excessive Alcohol Consumption Among Men

TypeinterventionalSponsorUniversity of ArkansasRan2023 to 2027Enrolled611ConditionsDrinking Behavior, Drinking Excessive, DrinkingArmsSBIRT
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Tiffany HaynesDepartment of Health Behavior and Health Education, Fay W. Boozman College of Health, University of Arkansas for Medical Sciences, 4301 W. Markham St. Slot 820-05, Little Rock, AR, 72205, US. tfhaynes@uams.edu.
Nakita LoveladyDepartment of Health Behavior and Health Education, Fay W. Boozman College of Health, University of Arkansas for Medical Sciences, 4301 W. Markham St. Slot 820-05, Little Rock, AR, 72205, US.
Camille HartDepartment of Health Behavior and Health Education, Fay W. Boozman College of Health, University of Arkansas for Medical Sciences, 4301 W. Markham St. Slot 820-05, Little Rock, AR, 72205, US.
Amber HillDepartment of Health Behavior and Health Education, Fay W. Boozman College of Health, University of Arkansas for Medical Sciences, 4301 W. Markham St. Slot 820-05, Little Rock, AR, 72205, US.
Tamier WellsDepartment of Health Behavior and Health Education, Fay W. Boozman College of Health, University of Arkansas for Medical Sciences, 4301 W. Markham St. Slot 820-05, Little Rock, AR, 72205, US.
Alice GardnerDepartment of Health Behavior and Health Education, Fay W. Boozman College of Health, University of Arkansas for Medical Sciences, 4301 W. Markham St. Slot 820-05, Little Rock, AR, 72205, US.
James SeligDepartment of Health Biostatistics, Fay W. Boozman College of Health, University of Arkansas for Medical Sciences, 4301 W. Markham St. Slot 781, Little Rock, AR, 72205, US.
Michael CucciareDepartment of Psychiatry, College of Medicine, University of Arkansas for Medical Sciences, 4301 W. Markham St. Slot 755, Little Rock, AR, 72205, US.

Funding

The Center for Research, Health, and Social JusticeP50MD017319 · NIMHD · UNIV OF ARKANSAS FOR MED SCIS · PI FAGAN, PEBBLES · 2021 to 2025
$21.9M
NIMHD NIH HHS P50 MD017319
6 · The paper itself

Abstract

backgroundBlack men who report unhealthy drinking experience more severe health outcomes and negative social consequences than other racialized groups. Screening, Brief Intervention, and Referral to Treatment (SBIRT) is an evidence-based, multilevel, integrated public health approach to delivering early intervention services for individuals at risk for unhealthy drinking, as well as the timely referral to more intensive treatment. SBIRTs have been implemented effectively in both primary care and emergency care settings. However, structural barriers to care (i.e., insurance status, culturally competent services, racism, discrimination, geography) may impede Black men’s access to evidence-based care for unhealthy drinking that is often located in medical settings.

methodsThis manuscript describes a protocol for the definitive Hybrid-II implementation trial, which aims to test the effectiveness of an SBIRT program delivered in barbershops and to gather data on strategies to support the successful implementation of this intervention in 60 barbershops. This study employs a wait-list, cluster-randomized, controlled design to assess the effectiveness of SBIRT in reducing the average number of drinking days and the number of unhealthy drinking days. DISCUSSION: This project has the potential to generate knowledge that will lead to improvements in the provision of alcohol interventions within the African American community. Furthermore, the use of the Hybrid-II design has the potential to enhance our understanding of strategies to support the implementation and sustainability of alcohol interventions in African American barbershops. CLINICAL

trial registrationNCT05609344 https//clinicaltrials.gov/study/NCT05609344.

Indexed as

AlcoholismBlack or African AmericanMass ScreeningReferral and ConsultationAdultBarberingHumansMaleProgram EvaluationRandomized Controlled Trials as TopicBarbershopExcessive drinkingMenRural

Identifiers

PMID41923034
PMCPMC13170183

What OpenQuestion holds

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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.