Skip to main content
Grant Details

Grant Number: 7R01CA126858-06 Interpret this number
Primary Investigator: Mobley, Lee
Organization: Georgia State University
Project Title: Geospatial Factors and Impacts II
Fiscal Year: 2013
Back to top


Abstract

DESCRIPTION (provided by applicant): This is a renewal application of 1R01CA126858, the parent grant titled "Geospatial Factors and Impacts: Measurement and Use." Geographic disparities in breast cancer (BC) and colorectal cancer (CRC) prevention and outcomes have existed for decades. Their persistence may indicate inefficient use of healthcare resources in national and local efforts concerning cancer control prevention due to factors that differ between geographic areas. However, outside of our own work, spatial analytic methods have rarely been used in the past to combat these disparities. In the parent grant we enhanced software to analyze spatial data, made it widely available (to date used by 62,500 researchers), applied it to limited data sets, and demonstrated the impact of ignoring spatial effects in the analyses. In this new application, we will extend the existing software to incorporate new spatial analytic methods addressing two particular problems that were beyond the scope of the parent grant. We will make the new enhanced software widely available, and use newly available data to conduct comprehensive analyses. The results will provide actionable information to health planners that will improve the ability to reduce disparities in BC and CRC prevention and outcomes (i.e., cancer stage at time of cancer diagnosis), by using targeted interventions to identified populations in specific places. Using the enhanced software, we will apply the new methodological capabilities to estimate spatial relationships in the newly available national comprehensive cancer registry data, which cover all areas of the United States. These combined National Program of Cancer Registry/Surveillance Epidemiology and End Results (NPCR/SEER) registry data are restricted, person-level data (including cancer stage) available for approved projects inside the RDCs. We will conduct complex geospatial-multilevel analysis of U.S. BC and CRC populations, linking persons with cancer to their county, state, and regional characteristics. The new methods will allow for the proper incorporation of both spatial heterogeneity and spatial dependence in modeling the complex multilevel factors influencing disparities in cancer prevention and stage at diagnosis.

Back to top


Publications

Modeling Geospatial Patterns of Late-Stage Diagnosis of Breast Cancer in the US.
Authors: Mobley L.R. , Kuo T.M. , Scott L. , Rutherford Y. , Bose S. .
Source: International Journal Of Environmental Research And Public Health, 2017-05-05 00:00:00.0; 14(5), .
EPub date: 2017-05-05 00:00:00.0.
PMID: 28475134
Related Citations

Geospatial Analysis of Inflammatory Breast Cancer and Associated Community Characteristics in the United States.
Authors: Scott L. , Mobley L.R. , Il'yasova D. .
Source: International Journal Of Environmental Research And Public Health, 2017-04-11 00:00:00.0; 14(4), .
EPub date: 2017-04-11 00:00:00.0.
PMID: 28398259
Related Citations

Using Residential Segregation To Predict Colorectal Cancer Stage At Diagnosis: Two Different Approaches
Authors: Mobley L.R. , Scott L. , Rutherford Y. , Kuo T.M. .
Source: Annals Of Epidemiology, 2016-11-25 00:00:00.0; , .
PMID: 27939165
Related Citations

How Generalizable Are The Seer Registries To The Cancer Populations Of The Usa?
Authors: Kuo T.M. , Mobley L.R. .
Source: Cancer Causes & Control : Ccc, 2016 Sep; 27(9), p. 1117-26.
PMID: 27443170
Related Citations

Demographic Disparities In Late-stage Diagnosis Of Breast And Colorectal Cancers Across The Usa
Authors: Mobley L.R. , Kuo T.M. .
Source: Journal Of Racial And Ethnic Health Disparities, 2016-04-12 00:00:00.0; , .
PMID: 27072541
Related Citations

United States Health Policies And Late-stage Breast And Colorectal Cancer Diagnosis: Why Such Disparities By Age?
Authors: Mobley L.R. , Kuo T.M. .
Source: Health Economics Review, 2015 Dec; 5(1), p. 58.
PMID: 26170153
Related Citations

Geographic And Demographic Disparities In Late-stage Breast And Colorectal Cancer Diagnoses Across The Us
Authors: Mobley L.R. , Kuo T.M. .
Source: Aims Public Health, 2015; 2(3), p. 583-600.
PMID: 27981060
Related Citations

Macro-level Factors Impacting Geographic Disparities In Cancer Screening
Authors: Mobley L.R. , Kuo T.M. , Traczynski J. , Udalova V. , Frech H.E. .
Source: Health Economics Review, 2014 Dec; 4(1), p. 13.
PMID: 26054402
Related Citations

Geographic disparities in late-stage cancer diagnosis: multilevel factors and spatial interactions.
Authors: Mobley L.R. , Kuo T.M. , Watson L. , Gordon Brown G. .
Source: Health & Place, 2012 Sep; 18(5), p. 978-90.
PMID: 22789866
Related Citations

Spatial Heterogeneity in Cancer Control Planning and Cancer Screening Behavior.
Authors: Mobley L.R. , Kuo T.M. , Urato M. , Subramanian S. , Watson L. , Anselin L. .
Source: Annals Of The Association Of American Geographers. Association Of American Geographers, 2012; 102(5), p. 1113-1124.
PMID: 24944346
Related Citations

Managed care and the diffusion of endoscopy in fee-for-service Medicare.
Authors: Mobley L.R. , Subramanian S. , Koschinsky J. , Frech H.E. , Trantham L.C. , Anselin L. .
Source: Health Services Research, 2011 Dec; 46(6pt1), p. 1905-27.
PMID: 22092022
Related Citations

Geographic disparities in late-stage breast cancer diagnosis in California.
Authors: Kuo T.M. , Mobley L.R. , Anselin L. .
Source: Health & Place, 2011 Jan; 17(1), p. 327-34.
PMID: 21144791
Related Citations

Community contextual predictors of endoscopic colorectal cancer screening in the USA: spatial multilevel regression analysis.
Authors: Mobley L.R. , Kuo T.M. , Urato M. , Subramanian S. .
Source: International Journal Of Health Geographics, 2010-09-03 00:00:00.0; 9, p. 44.
EPub date: 2010-09-03 00:00:00.0.
PMID: 20815882
Related Citations

Predictors of endoscopic colorectal cancer screening over time in 11 states.
Authors: Mobley L. , Kuo T.M. , Urato M. , Boos J. , Lozano-Gracia N. , Anselin L. .
Source: Cancer Causes & Control : Ccc, 2010 Mar; 21(3), p. 445-61.
PMID: 19946738
Related Citations

Mammography facilities are accessible, so why is utilization so low?
Authors: Mobley L.R. , Kuo T.M. , Clayton L.J. , Evans W.D. .
Source: Cancer Causes & Control : Ccc, 2009 Aug; 20(6), p. 1017-28.
PMID: 19205911
Related Citations

Heterogeneity in mammography use across the nation: separating evidence of disparities from the disproportionate effects of geography.
Authors: Mobley L.R. , Kuo T.M. , Driscoll D. , Clayton L. , Anselin L. .
Source: International Journal Of Health Geographics, 2008-06-30 00:00:00.0; 7, p. 32.
EPub date: 2008-06-30 00:00:00.0.
PMID: 18590540
Related Citations

How sensitive are multilevel regression findings to defined area of context?: a case study of mammography use in California.
Authors: Mobley L.R. , Kuo T.M. , Andrews L. .
Source: Medical Care Research And Review : Mcrr, 2008 Jun; 65(3), p. 315-37.
PMID: 18259047
Related Citations

Spatial Variation in the Quality of American Community Survey Estimates.
Authors: Folch D.C. , Arribas-Bel D. , Koschinsky J. , Spielman S.E. .
Source: Demography, 2016 10; 53(5), p. 1535-1554.
PMID: 27541024
Related Citations




Back to Top