Evidence map›Paper›PMID 41684383›Full record

ArticleAddictive behaviors reports2026

Understanding alcohol use disorder and help-seeking in a Hispanic faith-based community.

Rupa Jose, Mario O Martinez, Rachana Seelam, Karen Chan Osilla, Eunice Wong

Abstract read
In one paragraph

Article in Addictive behaviors reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

5 authors.

Rupa JoseRAND Corporation, 1200 South Hayes St., Arlington, VA 22202, USA.
Mario O MartinezDiocese of San Bernardino, 1201 E. Highland Avenue, San Bernardino CA 92404, USA.
Rachana SeelamRAND Corporation, 1776 Main Street, Santa Monica, CA 90401, USA.
Karen Chan OsillaStanford University School of Medicine, Department of Psychiatry and Behavioral Sciences, 401 Quarry Road., Palo Alto, CA 94305, USA.
Eunice WongRAND Corporation, 1776 Main Street, Santa Monica, CA 90401, USA.

Funding

Delivering Church-based Interventions to Reduce Stigma and Mental Health Treatment Disparities among Latinos.R01MD012638 · NIMHD · RAND CORPORATION · PI WONG, EUNICE C · 2018 to 2023
$3.7M
NIMHD NIH HHS R01 MD012638
6 · The paper itself

Abstract

Introduction: Hispanic Americans are disproportionately affected by alcohol use disorders (AUD) yet many are reluctant to seek alcohol treatment. Faith-based communities could serve as an effective setting for raising awareness and supporting linkage to treatment given the strong role of faith within many Hispanic communities. Limited research, however, has focused on experiences of AUD and help-seeking among Hispanic Americans within congregational settings. Methods: Using data from a California community-based longitudinal study of Hispanic church attendees with a probable AUD at baseline ( Results: A little over half of the participants with AUD at baseline sought help from health care providers (30%), clergy (13%), or both (8%) at 1-year follow-up. Help-seeking from health care providers was significantly associated with perceived need for treatment at baseline ( Conclusions: Findings highlight the potential role that faith-based communities can play in strengthening awareness of alcohol-related problems and reducing barriers to seeking care. Partnering with faith-based communities to promote early recognition and facilitate connections to treatment may enhance support for Hispanic individuals with AUD.

Indexed as

Alcohol Use Disorders (AUD)ClergyFaith communitiesHelp-seekingHispanicsPerceived needReligion

Identifiers

PMID41684383
PMCPMC12890823

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.