# P30 Admin Sup to Enhance (SOGI) Data Collection

> **NIH NIH P30** · WAYNE STATE UNIVERSITY · 2022 · $149,917

## Abstract

In the state of Michigan, four percent of the state's population identify as a sexual or gender minority (SGM). In
Michigan, the SGM population experiences distinct challenges, which include being more likely to be
unemployed, have experiences of food insecurity and less likely to receive routine healthcare compared to
non-SGMs in the state. It is also likely that these experiences influence the cancer care and outcomes of SGM
populations. In order to better, understand cancer health disparities across SGM populations, systematic and
accurate data collection methods of sexual orientation and gender identity (SOGI) data are needed. At
Karmanos Cancer Institute (KCI), work has started related to SOGI data collection, but additional information is
needed to identify all the potential points of SOGI data collection in the system. Additionally, barriers exist at
the oncology-provider level and patient-level, as well as a lack of understanding and education at each of these
levels for the rationale related to SOGI data collection. Thus, we propose a project to better understand how
SOGI data collection is currently being collected at KCI and the opportunities to improve SOGI data collection
at three KCI network sites in Detroit, Bay Region (Bay City) and Central Michigan (Mt. Pleasant). Specific aims
are to 1) identify oncology provider-level and patient-level barriers to collection of SOGI data; 2) develop and
conduct trainings for oncology providers and staff on rationale and strategies for SOGI data collection; 3)
develop and implement a patient-facing campaign to increase patient awareness and knowledge of SOGI data
collection; 4) implement and evaluate SOGI data collection via both paper-based forms and electronic medical
records at three Karmanos Network sites.

## Key facts

- **NIH application ID:** 10642438
- **Project number:** 3P30CA022453-40S3
- **Recipient organization:** WAYNE STATE UNIVERSITY
- **Principal Investigator:** JOSEPH P. UBERTI
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $149,917
- **Award type:** 3
- **Project period:** 2022-09-01 → 2025-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10642438

## Citation

> US National Institutes of Health, RePORTER application 10642438, P30 Admin Sup to Enhance (SOGI) Data Collection (3P30CA022453-40S3). Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/grant/nih/10642438. Licensed CC0.

---

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