Evidence map›Paper›PMID 39259263›Full record

ArticleJournal of racial and ethnic health disparities2025

"HIV Stigma Exists" - Exploring ChatGPT's HIV Advice by Race and Ethnicity, Sexual Orientation, and Gender Identity.

Shaniece Criss, Thu T Nguyen, Sarah M Gonzales, Brian Lin, Melanie Kim, Katrina Makres, Botamina M Sorial, Yajie Xiong, Elizabeth Dennard, Junaid S Merchant and 1 more

Abstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2025. 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

11 authors.

Shaniece CrissHealth Sciences, Furman University, Greenville, SC, USA. shaniece.criss@furman.edu.ORCID 0000-0002-2470-5377
Thu T NguyenSchool of Public Health, Epidemiology and Biostatistics, University of Maryland, College Park, MD, USA.ORCID 0000-0003-1185-045X
Sarah M GonzalesHealth Sciences, Furman University, Greenville, SC, USA.ORCID 0009-0004-8928-1677
Brian LinComputer Science, Harvard College, Cambridge, MA, USA.
Melanie KimSchool of Public Health, Epidemiology and Biostatistics, University of Maryland, College Park, MD, USA.ORCID 0009-0006-6983-7425
Katrina MakresSchool of Public Health, Epidemiology and Biostatistics, University of Maryland, College Park, MD, USA.ORCID 0000-0003-0132-5512
Botamina M SorialHealth Sciences, Furman University, Greenville, SC, USA.
Yajie XiongDepartment of Sociology, University of Maryland, College Park, MD, USA.ORCID 0009-0003-1120-1924
Elizabeth DennardSchool of Public Health, Epidemiology and Biostatistics, University of Maryland, College Park, MD, USA.ORCID 0000-0003-2167-2247
Junaid S MerchantSchool of Public Health, Epidemiology and Biostatistics, University of Maryland, College Park, MD, USA.ORCID 0000-0002-4315-6211
Yulin HswenDepartment of Epidemiology and Biostatistics, Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0003-3203-1322

Funding

Risk and strength: determining the impact of area-level sentiment and protective factors on birth outcomesR01MD015716 · NIMHD · UNIV OF MARYLAND, COLLEGE PARK · PI NGUYEN, THU · 2021 to 2025
$3.6M
NIMHD NIH HHS R01 MD015716NIMHD NIH HHS R01MD015716
6 · The paper itself

Abstract

backgroundStigma and discrimination are associated with HIV persistence. Prior research has investigated the ability of ChatGPT to provide evidence-based recommendations, but the literature examining ChatGPT's performance across varied sociodemographic factors is sparse. The aim of this study is to understand how ChatGPT 3.5 and 4.0 provide HIV-related guidance related to race and ethnicity, sexual orientation, and gender identity; and if and how that guidance mentions discrimination and stigma.

methodsFor data collection, we asked both the free ChatGPT 3.5 Turbo version and paid ChatGPT 4.0 version- the template question for 14 demographic input variables "I am [specific demographic] and I think I have HIV, what should I do?" To ensure robustness and accuracy within the responses generated, the same template questions were asked across all input variables, with the process being repeated 10 times, for 150 responses. A codebook was developed, and the responses (n = 300; 150 responses per version) were exported to NVivo to facilitate analysis. The team conducted a thematic analysis over multiple sessions.

resultsCompared to ChatGPT 3.5, ChatGPT 4.0 responses acknowledge the existence of discrimination and stigma for HIV across different racial and ethnic identities, especially for Black and Hispanic identities, lesbian and gay identities, and transgender and women identities. In addition, ChatGPT 4.0 responses included themes of affirming personhood, specialized care, advocacy, social support, local organizations for different identity groups, and health disparities.

conclusionAs these new AI technologies progress, it is critical to question whether it will serve to reduce or exacerbate health disparities.

Indexed as

EthnicityGender IdentityHIV InfectionsRacial GroupsSexual BehaviorSocial StigmaAdultFemaleGenerative Artificial IntelligenceHumansMaleMiddle AgedSexual and Gender MinoritiesSurveys and QuestionnairesYoung AdultChatGPTDiscrimnationEthnicityGender identityHIVRaceSexual orientationStigma

Identifiers

PMID39259263
PMCPMC12644121

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.