# Administrative Supplement for NCI P30 CCSGs to extend partnerships with comprehensive cancer control coalitions to study implementation of evidence-based cancer control interventions

> **NIH NIH P30** · UNIV OF NORTH CAROLINA CHAPEL HILL · 2021 · $138,311

## Abstract

Abstract
The UNC Lineberger Comprehensive Cancer Center (LCCC) serves all North Carolina (NC) residents by
conducting research and translating research findings into practice focused on North Carolinians’ needs and by
ensuring that high quality, accessible cancer care is provided to all who need it. Since receiving NCI cancer
center designation in 1975 and comprehensive status in 1990, LCCC has served as the only public
comprehensive cancer center in NC with patients, outreach, and research efforts in all 100 NC counties, which
led to the entire state being defined as LCCC’s catchment area. Racially/ethnically diverse and rural
populations in NC face a disproportionate burden of cancer and are key constituent populations for LCCC
efforts. For decades, LCCC-supported research and outreach efforts have been committed to implementing
practices and policies that are evidence-based and designed to address specific needs in the catchment area,
particularly in racial/ethnic minority and rural populations; these responsibilities are now coordinated by the
LCCC Community Outreach and Engagement (COE) Office. Evidence-based interventions (EBIs) to reduce
high-risk behaviors and improve early detection, treatment, survivorship, and health outcomes for patients with
disproportionately high cancer burden clearly exist but are underutilized. These strategies include, but are not
limited to, evidence-based strategies to reduce tobacco use and improve HPV vaccination, cancer screening
uptake, navigation to cancer treatment, regular symptom monitoring, and linkage to comprehensive
survivorship support and palliative care. Funds are needed in the community to build capacity and stimulate
implementation of such EBIs in practice across a diversity of NC settings. The Putting Public Health Evidence
in Action training curriculum and toolkit is an existing resource developed by public health scholars and
practitioners within the Cancer Prevention and Control Research Network (CPCRN) and Comprehensive
Cancer Control Collaborative of NC (4CNC) to enhance EBI implementation through provision of standardized
training, tools, and technical assistance. In this application, our COE Office proposes to partner with the
CPCRN, 4CNC, the NC Division of Public Health’s Cancer Prevention and Control Branch, and the state’s
Community Cancer Network (CCN), comprised of community cancer-focused organizations and stakeholders,
to: (1) deliver the Putting Public Health Evidence in Action training to CCN members across the state to
develop community capacity to identify, adapt, and implement cancer prevention and control EBIs in their
communities, and (2) launch and evaluate a community pilot grant program to support and sustain EBI
implementation. Competitive community proposals will address a specific community cancer need, focus on
an existing EBI or set of EBIs, receive ongoing technical assistance from COE, CPCRN, and 4CNC and focus
on meaningful sustainment of EBIs beyond the fundi...

## Key facts

- **NIH application ID:** 10409299
- **Project number:** 3P30CA016086-45S4
- **Recipient organization:** UNIV OF NORTH CAROLINA CHAPEL HILL
- **Principal Investigator:** H. Shelton Earp
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $138,311
- **Award type:** 3
- **Project period:** 1997-06-01 → 2025-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10409299

## Citation

> US National Institutes of Health, RePORTER application 10409299, Administrative Supplement for NCI P30 CCSGs to extend partnerships with comprehensive cancer control coalitions to study implementation of evidence-based cancer control interventions (3P30CA016086-45S4). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10409299. Licensed CC0.

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