# Comparative Modeling to Inform Cervical Cancer Control Policies - Moonshot Supplement

> **NIH NIH U01** · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · 2021 · $449,781

## Abstract

Project Summary/Abstract
While disparities in access to health care and health outcomes have long been apparent, the
COVID pandemic has laid bare the structural and interpersonal racism that contribute to the
disproportionate morbidity and mortality for people who identify as Black, Indigenous, Latinx,
and other minoritized groups. These health disparities are often mediated by complex social
factors stemming from discriminatory practices.
Prior studies of cancer care disparities have focused primarily on characteristics at the patient or
provider level, but increasingly we recognize the importance of macro-level social exposures,
particularly those that occur in the community and health care settings. METRICS and CISNET-
Cervical investigators propose an administrative supplement to advance our scientific
conceptualization of how to measure and model structural racism and discrimination (SRD) and
intermediate social exposures (ISEs) to promote equity in cervical cancer screening.
We propose to (1) conceptualize measures of and policies directed at SRD and ISEs that are
relevant to the cervical cancer screening process and catalogue possible measures available at
METRICS healthcare systems; (2) conceptualize the integration of multi-level characteristics
into existing CISNET cervical cancer models to estimate the effect of SRD and ISEs on
racial/ethnic disparities in cervical cancer outcome; and (3) develop an analytic and
collaborative plan to evaluate the impact of a measure/policy related to SRD or ISEs on Black-
White cervical cancer disparities, leveraging existing and potentially new data from METRICS
and the multi-level CISNET models.
This collaboration will extend the scientific scope of our currently funded work and serve as a
blueprint for examining the impact of SRD and ISEs on other cancers, among other racial/ethnic
groups, and across different health care settings.

## Key facts

- **NIH application ID:** 10455871
- **Project number:** 3U01CA253912-02S2
- **Recipient organization:** HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH
- **Principal Investigator:** Ruanne Vanessa Barnabas
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $449,781
- **Award type:** 3
- **Project period:** 2020-09-08 → 2025-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10455871

## Citation

> US National Institutes of Health, RePORTER application 10455871, Comparative Modeling to Inform Cervical Cancer Control Policies - Moonshot Supplement (3U01CA253912-02S2). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10455871. Licensed CC0.

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