Translating catchment area cancer burden into metrics using the logic model: Insights from the Population Science Working Group of the Big 10 Cancer Research Consortium

Sharon L. Manne; Victoria Champion; Marian Fitzgibbon; Anita Y. Kinney; Cheryl Knott; Eugene J. Lengerich; Sarah Nash; Melissa Simon; Marquita W. Lewis-Thames; Amy Trentham-Dietz; Chasity Washington; Shinobu Watanabe-Galloway; Electra D. Paskett; Margaret Wright Geise

doi:10.1080/28322134.2023.2298086

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Translating catchment area cancer burden into metrics using the logic model: Insights from the Population Science Working Group of the Big 10 Cancer Research Consortium

Journal article

Open access

Translating catchment area cancer burden into metrics using the logic model: Insights from the Population Science Working Group of the Big 10 Cancer Research Consortium

Sharon L. Manne, Victoria Champion, Marian Fitzgibbon, Anita Y. Kinney, Cheryl Knott, Eugene J. Lengerich, Sarah Nash, Melissa Simon, Marquita W. Lewis-Thames, Amy Trentham-Dietz, …

Preventive Oncology & Epidemiology, Vol.1(1), 2298086

01/2023

DOI: 10.1080/28322134.2023.2298086

PMCID: PMC11864780

PMID: 40012603

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Abstract

Background: In 2021, the National Cancer Institute issued updated guidelines clarifying the mandated mission and organizational structure for describing Community Outreach and Engagement (COE) within the Cancer Center Support Grant. These guidelines documented ways that cancer centers should address the needs of the catchment area and how COE teams engage their catchment population in cancer research and its application for their benefit. The logic model has been adopted by COE leaders to provide a schematic for presenting, implementing, and evaluating, and translating catchment area needs into aims, activities, and outcomes that reduce cancer burden. Methods: Ten Big 10 Cancer Center leaders completed a survey describing the origins and components of their center’s logic model, identified challenges, and provided recommendations for improving the consistency of the evaluation process. Results: Limitations included lack of inclusion of short-and intermediate-term outcomes, missing performance metrics, low correspondence between aims, activities, and outcomes, and limited information about resources, activities, and outcomes of COE. Discussion: As catchment area needs evolve, cancer centers will need to re-prioritize the deployment of their resources. Addressing additional needs while maintaining progress on existing long-term goals will require attention to resource allocation and strategic planning.

Details

Title: Subtitle: Translating catchment area cancer burden into metrics using the logic model: Insights from the Population Science Working Group of the Big 10 Cancer Research Consortium
Creators: Sharon L. Manne - Rutgers, The State University of New Jersey
Victoria Champion - Indiana University
Marian Fitzgibbon - University of Illinois Chicago
Anita Y. Kinney - Rutgers, The State University of New Jersey
Cheryl Knott - University of Maryland, College Park
Eugene J. Lengerich - Pennsylvania State University
Sarah Nash - University of Iowa
Melissa Simon - Northwestern University
Marquita W. Lewis-Thames - Northwestern University
Amy Trentham-Dietz - University of Wisconsin–Madison
Chasity Washington - The Ohio State University
Shinobu Watanabe-Galloway - University of Nebraska Medical Center
Electra D. Paskett - The Ohio State University
Margaret Wright Geise - University of Illinois Chicago
Resource Type: Journal article
Publication Details: Preventive Oncology & Epidemiology, Vol.1(1), 2298086
DOI: 10.1080/28322134.2023.2298086
PMID: 40012603
PMCID: PMC11864780
NLM abbreviation: Prev Oncol Epidemiol
ISSN: 2832-2134
eISSN: 2832-2134
Language: English
Date published: 01/2023
Academic Unit: Epidemiology; Center for Social Science Innovation; Community and Behavioral Health
Record Identifier: 9984548853402771

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