Related Experiment Video
Updated: May 25, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Translating catchment area cancer burden into metrics using the logic model: Insights from the Population Science
Sharon L Manne1, Victoria Champion2, Marian Fitzgibbon3
1Department of Medicine, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
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.
More Related Videos
09:53Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
Published on: August 16, 2020
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Related Concept Videos
Cancer Survival Analysis
Mouse Models of Cancer Study
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...