Evidence map›Paper›PMID 41851564›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2026

Disseminating Health Prevention Programs Using AI-Crafted, Culturally Tailored Ads for Somali American Adolescents.

Tori Simenec, Salma Ibrahim, Gail Ferguson

Abstract read
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

3 authors.

Tori SimenecUniversity of Minnesota, Minneapolis, MN, USA. sime0060@umn.edu.
Salma IbrahimUniversity of Minnesota, Minneapolis, MN, USA.
Gail FergusonUniversity of Minnesota, Minneapolis, MN, USA.

Funding

National Science Foundation Graduate Research Fellowship Program 2237827
6 · The paper itself

Abstract

Recent advancements in artificial intelligence (AI) and digital health messaging present opportunities to bridge service health gaps in underserved communities. Adolescents are highly engaged with technology; however, they lack the access to relevant health information and resources tailored to their specific needs. This may be especially true for Black migrant-background adolescents. Utilizing publicly available AI resources can support the dissemination of culturally responsive digital prevention programs. The present study developed four 1-min direct-to-consumer (DTC) video health advertisements that varied in cultural and developmental tailoring, using focus-group-generated digital health message preferences. The advertisements promoted a culturally adapted food-focused media literacy program, JUS Media? Global Classroom - Somali American. The four ads were experimentally tested among 230 Somali American adolescents (ages 11-19, M

Indexed as

AdvertisingArtificial IntelligenceHealth PromotionAdolescentChildDigital MediaFemaleFocus GroupsHumansMaleSomaliaYoung AdultAdolescentsCultural adaptationDigital interventionsDisseminationImmigrant/refugee youth

Identifiers

PMID41851564
PMCPMC13550089

What OpenQuestion holds

Textmetadata
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.