Literature DB >> 28472310

The Population Burden of Cancer: Research Driven by the Catchment Area of a Cancer Center.

Caroline G Tai, Robert A Hiatt.   

Abstract

Cancer centers, particularly those supported by the National Cancer Institute, are charged with reducing the cancer burden in their catchment area. However, methods to define both the catchment area and the cancer burden are diverse and range in complexity often based on data availability, staff resources, or confusion about what is required. This article presents a review of the current literature identifying 4 studies that have defined various aspects of the cancer burden in a defined geographical area and highlights examples of how some cancer centers and other health institutions have defined their catchment area and characterized the cancer burden within it. We then present a detailed case study of an approach applied by the University of California, San Francisco, Helen Diller Family Comprehensive Cancer Center to define its catchment area and its population cancer burden. We cite examples of how the Cancer Center research portfolio addresses the defined cancer burden. Our case study outlines a systematic approach to using publicly available data, such as cancer registry data, that are accessible by all cancer centers. By identifying gaps and formulating future research directions based on the needs of the population within the catchment area, epidemiologic studies and other types of cancer research can be directed to the population served. This review can help guide cancer centers in developing an approach to defining their own catchment area as mandated and applying research findings to this defined population.
© The Author 2017. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  cancer; cancer care facilities; catchment area; community health planning; population-based planning; registries

Mesh:

Year:  2017        PMID: 28472310     DOI: 10.1093/epirev/mxx001

Source DB:  PubMed          Journal:  Epidemiol Rev        ISSN: 0193-936X            Impact factor:   6.222


  13 in total

1.  Predictive Assessment of Cancer Center Catchment Area from Electronic Health Records.

Authors:  Luca Salmasi; Enrico Capobianco
Journal:  Front Public Health       Date:  2017-11-16

2.  Reducing Cancer Burden in the Population: An Overview of Epidemiologic Evidence to Support Policies, Systems, and Environmental Changes.

Authors:  Elizabeth A Platz
Journal:  Epidemiol Rev       Date:  2017-01-01       Impact factor: 6.222

3.  Association of mental health diagnosis with race and all-cause mortality after a cancer diagnosis: Large-scale analysis of electronic health record data.

Authors:  William C Chen; Lauren Boreta; Steve E Braunstein; Michael W Rabow; Lawrence E Kaplan; Jessica D Tenenbaum; Olivier Morin; Catherine C Park; Julian C Hong
Journal:  Cancer       Date:  2021-09-22       Impact factor: 6.860

Review 4.  Project PLACE: Enhancing community and academic partnerships to describe and address health disparities.

Authors:  Nadine J Barrett; Kearston L Ingraham; Kenisha Bethea; Pao Hwa-Lin; Maritza Chirinos; Laura J Fish; Schenita Randolph; Ping Zhang; Peter Le; Demetrius Harvey; Ronald L Godbee; Steven R Patierno
Journal:  Adv Cancer Res       Date:  2020-03-19       Impact factor: 6.242

5.  Factors associated with biomedical research participation within community-based samples across 3 National Cancer Institute-designated cancer centers.

Authors:  Nadine J Barrett; Elisa M Rodriguez; Ronaldo Iachan; Terry Hyslop; Kearston L Ingraham; Gem M Le; Kelly Martin; Rodney C Haring; Natalie A Rivadeneira; Deborah O Erwin; Laura J Fish; Deirdre Middleton; Robert A Hiatt; Steven R Patierno; Urmimala Sarkar; Elizabeth A Gage-Bouchard
Journal:  Cancer       Date:  2020-01-07       Impact factor: 6.860

6.  Association of Smartphone Ownership and Internet Use With Markers of Health Literacy and Access: Cross-sectional Survey Study of Perspectives From Project PLACE (Population Level Approaches to Cancer Elimination).

Authors:  Sachiko M Oshima; Sarah D Tait; Samantha M Thomas; Oluwadamilola M Fayanju; Kearston Ingraham; Nadine J Barrett; E Shelley Hwang
Journal:  J Med Internet Res       Date:  2021-06-09       Impact factor: 5.428

7.  A National Map of NCI-Designated Cancer Center Catchment Areas on the 50th Anniversary of the Cancer Centers Program.

Authors:  Peter F DelNero; Ian D Buller; Rena R Jones; Zaria Tatalovich; Robin C Vanderpool; Henry P Ciolino; Robert T Croyle
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2022-05-04       Impact factor: 4.090

8.  Assessing the Coverage of US Cancer Center Primary Catchment Areas.

Authors:  Amy E Leader; Christopher McNair; Christina Yurick; Matthew Huesser; Elizabeth Schade; Emily E Stimmel; Caryn Lerman; Karen E Knudsen
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2022-05-04       Impact factor: 4.090

9.  Cancer care in Brazil: structure and geographical distribution.

Authors:  Mario Jorge Sobreira da Silva; Gisele O'Dwyer; Claudia Garcia Serpa Osorio-de-Castro
Journal:  BMC Cancer       Date:  2019-10-23       Impact factor: 4.430

10.  Using the health belief model to assess racial/ethnic disparities in cancer-related behaviors in an NCI-designated comprehensive cancer center catchment area.

Authors:  Amy K Otto; Dana Ketcher; Rachael McCormick; Jenna L Davis; McKenzie R McIntyre; Yunqi Liao; Maija Reblin; Susan T Vadaparampil
Journal:  Cancer Causes Control       Date:  2021-06-16       Impact factor: 2.532

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