# Latent Healthcare Stigma Profiles and Their Association With Human Immunodeficiency Virus (HIV) Treatment and Care Outcomes Among Women With HIV in the United States: An Intersectional Analysis

**Authors:** Jennifer P Jain, Nadra E Lisha, Jae Sevelius, Torsten B Neilands, Carol Dawson-Rose, Mallory O Johnson, Ayden Scheim, Bulent Turan, Adebola Adedimeji, Mirjam-Colette Kempf, Gypsyamber D’Souza, Michelle Floris-Moore, Seble Kassaye, Anandi Sheth, Azure Thompson, Deborah Jones Weiss, Phyllis C Tien

PMC · DOI: 10.1093/ofid/ofaf414 · Open Forum Infectious Diseases · 2025-08-06

## TL;DR

This study explores how different levels of healthcare stigma affect HIV treatment outcomes among women in the US, finding that high stigma is linked to worse health outcomes.

## Contribution

The novel contribution is identifying distinct stigma profiles and their intersectional associations with HIV treatment outcomes among women with HIV.

## Key findings

- Three stigma profiles were identified: high stigma (3%), low stigma (86%), and anticipated stigma (11%).
- High stigma was strongly associated with suboptimal HIV treatment outcomes and mental health issues.
- Low stigma was linked to better adherence to antiretroviral therapy and lower viral nonsuppression.

## Abstract

Stigma is a barrier to human immunodeficiency virus (HIV) care among women with HIV (WWH) in the United States (US). We estimated associations between latent stigma profiles and HIV outcomes among WWH in the Women's Interagency HIV Study.

From 2018 to 2019, participants (N = 1407) completed semi-annual assessments on sociodemographics, substance use, HIV-related, anticipated, and race-related stigma in healthcare, and suboptimal antiretroviral therapy adherence (<95%), and underwent HIV RNA testing. Latent profile analysis and multinomial logistic regression were used to examine adjusted associations between profiles and several covariates. Structural equation modeling estimated longitudinal associations between profiles, suboptimal adherence, and viral nonsuppression (HIV-1 RNA ≥20 copies/mL).

We identified 3 profiles: high stigma (3%), low stigma (86%), and anticipated stigma (11%). Membership in the high stigma profile was greater for Black WWH who use drugs (adjusted odds ratio [aOR], 3.6 [95% confidence interval {CI}, 1.1–12.1]), non-Black WWH who use drugs (aOR, 4.8 [95% CI, 1.3–18]), and those who reported suboptimal adherence (aOR, 2.2 [95% CI, 1–4.8]), drug use (aOR, 2.6 [95% CI, 1.3–5.1]), noninjection drug use (aOR, 2.2 [95% CI, 1.1–4.4]), opioid use treatment (aOR, 4.07 [95% CI, 1.47–11.26]), depression (aOR, 5.8 [95% CI, 2.8–11.9]), stress (aOR, 1.09 [95% CI, 1.05–1.1]), and high post-traumatic stress disorder (aOR, 10.6 [95% CI, 4.3–25.7]). In the longitudinal model, suboptimal adherence was lowest for the low stigma profile and predicted future viral nonsuppression.

Reducing stigma and integrating HIV, substance use, and mental health treatment is crucial for improving health outcomes among US WWH.

## Linked entities

- **Diseases:** depression (MONDO:0002050), post-traumatic stress disorder (MONDO:0005146)

## Full-text entities

- **Diseases:** post-traumatic stress disorder (MESH:D013313), depression (MESH:D003866), opioid (MESH:D009293), WWH (MESH:D015658)
- **Species:** Homo sapiens (human, species) [taxon 9606], Human immunodeficiency virus 1 (no rank) [taxon 11676], Human immunodeficiency virus (species) [taxon 12721]

## Full text

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## References

64 references — full list in the complete paper: https://tomesphere.com/paper/PMC12341926/full.md

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Source: https://tomesphere.com/paper/PMC12341926