Project PLACE: Enhancing community and academic partnerships to describe and address health disparities

Adv Cancer Res. 2020:146:167-188. doi: 10.1016/bs.acr.2020.01.009. Epub 2020 Mar 19.

Abstract

Achieving cancer health equity is a national imperative. Cancer is the second leading cause of death in the United States and in North Carolina (NC), where the disease disproportionately impacts traditionally underrepresented race and ethnic groups, those who live in rural communities, the impoverished, and medically disenfranchised and/or health-disparate populations at high-risk for cancer. These populations have worse cancer outcomes and are less likely to be participants in clinical research and trials. It is critical for cancer centers and other academic health centers to understand the factors that contribute to poor cancer outcomes, the extent to which they impact the cancer burden, and develop effective interventions to address them. Key to this process is engaging diverse stakeholders in the development and execution of community and population health assessments, and the subsequent programs and interventions designed to address the need across the catchment area. This chapter describes the processes and lessons learned of the Duke Cancer Institute's (DCI) long standing community partnerships that led to Project PLACE (Population Level Approaches to Cancer Elimination), a National Cancer Institute (NCI)-funded community health assessment reaching 2315 respondents in 7 months, resulting in a community partnered research agenda to advance cancer equity within the DCI catchment area. We illustrate the application of a community partnered health assessment and offer examples of strategic opportunities, successes, lessons learned, and implications for practice.

Keywords: Capacity; Community engagement; Community health assessment; Health disparities; Health equity; Partnerships.

Publication types

  • Research Support, N.I.H., Extramural
  • Review

MeSH terms

  • Academic Medical Centers / statistics & numerical data*
  • Community Networks / statistics & numerical data*
  • Health Status Disparities*
  • Humans
  • Neoplasms / diagnosis
  • Neoplasms / ethnology*
  • Neoplasms / therapy