Evidence map›Paper›PMID 42859956›Full record

ArticleJournal of behavioral medicine2026

The effectiveness of targeted visuals: Improving awareness of acral lentiginous melanoma among Hispanic and African American participants.

Manusheela Pokharel, Kevin K John, Yi Liao, Yelena P Wu, Jakob D Jensen

Abstract read
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Article in Journal of behavioral medicine, 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.

Manusheela PokharelDepartment of Communication Studies, Texas State University, San Marcos, USA. manu.pokharel@txstate.edu.ORCID http://orcid.org/0000-0002-9167-4750
Kevin K JohnSchool of Communications, Brigham Young University, Provo, USA.
Yi LiaoDepartment of Communication, University of Utah, Salt Lake City, USA.
Yelena P WuHuntsman Cancer Institute, Salt Lake City, USA.
Jakob D JensenDepartment of Communication, University of Utah, Salt Lake City, USA.

Funding

NIBIB NIH HHS 1DP2EB022360-01Texas State University Research Enhancement Program
6 · The paper itself

Abstract

Acral lentiginous melanoma (ALM) is an aggressive type of melanoma that disproportionally impacts people of color, with rising incidence among Hispanic/Latino populations and the highest mortality rate among African Americans. Given these disparities, innovative strategies for communicating ALM risk are critically needed, especially to Hispanics/Latinos and African Americans. To address this need, the current study investigated the implications of targeted visuals to conveying ALM risk for Hispanic/Latino and African American participants through a 3 (Skin tone of models in patient education materials: white, light brown, or dark brown) × 2 (Race/Ethnicity of the participants: Hispanic/Latino vs. African American) message experiment. The findings revealed that Hispanic/Latino participants reported higher ALM knowledge when they were exposed to patient education materials depicting light or dark brown models, whereas African American participants performed better with either dark brown or white skin models. Additionally, there was an indirect effect of exposure to the patient education materials on ALM knowledge via memorability for Hispanic/Latino participants. The findings align with the theorizing on demographic targeting and memorable messages as both Hispanic/Latino and African American populations responded more positively to targeted models and memorability once again materialized as the key mechanism of effect.

Indexed as

Acral lentiginous melanomaDarker skin populationsHispanicIllustrationTargeted messages

Identifiers

What OpenQuestion holds

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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.