Evidence map›Paper›PMID 41233681›Full record

ArticleJournal of community health2026

Examining the Impact of Patient Demographics on Outreach Efforts for a Student-Run LGBTQIA + Free Clinic.

Geoffrey Xue, Anthony Barnes, Gabriel Alexander Lee, Lucas Raphael Lee, Courtney DuBois Shihabuddin

Abstract read
In one paragraph

Article in Journal of community health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

Geoffrey Xue *The Ohio State University College of Arts and Sciences, Columbus, OH, USA.ORCID 0009-0004-5616-6082
Anthony Barnes *The Ohio State University College of Arts and Sciences, Columbus, OH, USA.ORCID 0009-0001-7864-5111
Gabriel Alexander LeeThe Ohio State University College of Medicine, Columbus, OH, USA.ORCID 0000-0003-4073-3578
Lucas Raphael LeeThe Columbus Free Clinic, Columbus, OH, USA.
Courtney DuBois ShihabuddinThe Ohio State University College of Nursing, Columbus, OH, USA. shihabuddin.2@osu.edu.ORCID 0000-0001-8353-6430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The LGBTQIA + community faces unique health disparities that can lead to severe barriers to care. The Rainbow Clinic is a specialty clinic at the Columbus Free Clinic, a student-run free clinic affiliated with a large academic institution in the Midwest, that provides free primary and specialty care for uninsured and underinsured patients in Columbus, Ohio. Unfortunately, there is a paucity of literature depicting how to best reach these patient populations. This study sought to examine the outreach strategies for patient recruitment to the Rainbow Clinic with a retrospective chart review of past patients (N = 77). 44.2% of respondents discovered the clinic through social media. Age strongly and negatively correlated with appointment frequency (r = -0.665, p < 0.001), while income showed a moderate positive correlation (r = 0.464, p < 0.001). Preliminary data is a promising foundation for future research to improve recruitment of vulnerable populations. Correlations between age and social-media related appointments and income and social-media associated appointments can be helpful to address specific modes of outreach for target populations in the LGBTQIA + community.

Indexed as

Community-Institutional RelationsSexual and Gender MinoritiesStudent Run ClinicAdultFemaleHumansMaleMedically UninsuredMiddle AgedOhioPatient SelectionRetrospective StudiesYoung AdultCommunity outreachHealth disparitiesLGBTQIA + communitySexual and gender minoritiesStudent-run clinics

Identifiers

PMID41233681
PMCPMC13241402

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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.