# Using Medicaid data to advance care for people with schizophrenia at risk for HIV (Medicaid-DASH)

> **NIH NIH R01** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2021 · $249,839

## Abstract

PROJECT SUMMARY/ABSTRACT
People with severe mental illness (e.g., schizophrenia, bipolar disorder; SMI) are a socially marginalized
population with up to ten times increased likelihood of being diagnosed with HIV compared to the general
United States population. The parent grant (R01-MH112420) aims to investigate the increased HIV
transmission risk, low testing rate, and potential HIV treatment gaps for people with SMI using a large,
geographically diverse national retrospective longitudinal Medicaid cohort. The outcomes assessed by the
parent grant, however, may be modified by membership in intersecting categories of social marginalization.
Single-axis interventions that do not consider heterogeneities among vulnerable populations may not be
effective in improving outcomes and achieving epidemic control. Therefore, research is needed to identify and
assess the magnitude of outcome inequalities among the riskiest intersectional positions.
Leveraging twelve years of Medicaid data (2001 through 2012), the major goal of this research is to assess the
existence and magnitude of outcome inequalities along the HIV continuum of care, with respect to intersecting
categories of social marginalization (e.g. schizophrenia diagnosis, race/ethnicity, sex, intravenous drug use,
etc.). The diversity supplement seeks to provide mentored theoretical and methodological training for the
candidate in the area of quantitative intersectionality research. The proposed career development aims are: (1)
to develop foundational knowledge in intersectionality as a theoretical framework; and (2) to develop expertise
in quantitative intersectionality research methods. Aligned with the career development objectives, the
research goals of the proposed study are to: (a) research the cutting-edge quantitative intersectionality
approaches to assess the existence and magnitude of HIV outcome inequalities within a large administrative
database; (b) examine differential rates of HIV testing by intersecting categories of schizophrenia diagnosis,
sex, age, history of intravenous drug use, and race/ethnicity in the R01 parent grant retrospective cohort; and
(c) examine differential rates of treatment for HIV by intersecting categories of schizophrenia diagnosis, sex ,
age, history of intravenous drug use, and race/ethnicity in the R01 parent grant retrospective cohort. The
evidence generated from this work could identify the riskiest intersectional positions to inform targeted, cost-
effective, interventions to improve HIV testing and care outcomes among those most vulnerable. Additionally,
the foundational knowledge of intersectionality as a theoretical framework, paired with the application of
quantitative intersectionality methods to a large administrative data set, will position the candidate to have an
impactful career as an independent investigator generating rigorous quantitative evidence demonstrating
health inequities among socially marginalized populations.

## Key facts

- **NIH application ID:** 9903937
- **Project number:** 3R01MH112420-05S1
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** Christina Mangurian
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $249,839
- **Award type:** 3
- **Project period:** 2017-07-01 → 2023-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9903937

## Citation

> US National Institutes of Health, RePORTER application 9903937, Using Medicaid data to advance care for people with schizophrenia at risk for HIV (Medicaid-DASH) (3R01MH112420-05S1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9903937. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*