Grant Number:	1R01CA126858-01A1 Interpret this number
Primary Investigator:	Mobley, Lee
Organization:	Research Triangle Institute
Project Title:	Geospatial Factors & Impacts: Measurement and Use
Fiscal Year:	2007

DESCRIPTION (provided by applicant): Among the 2007 strategic goals of the National Cancer Institute (NCI) are improving early detection of cancers and overcoming cancer health disparities. To help NCI achieve the vision of "A Nation free from the suffering and death due to cancer by 2015 with dramatic reductions in cancer incidence," RTI International and the University of Illinois at Urbana-Champaign have partnered to advance the understanding of discrepancies in the participation in cancer screening across subpopulations and regions of the United States. The major aims are to (1) contribute to a better understanding of the factors that influence cancer screening rates and characteristics of locales with the lowest rates, so that these disparities might be reduced, and (2) advance new geospatial methods and measurements in social science and behavioral health research and apply them to the study of cancer screening rates. We will achieve this by: developing and making publicly available a database of geospatial measures, which include characteristics of people in places and characteristics of the places themselves; developing and making publicly available new spatial analysis software capabilities and a Web application, built to standards developed by the Open Geospatial Consortium, that allows analysis of data in the databases along with proprietary data linked to the system by the user; and using these data and tools to estimate multivariate models explaining variability in cancer screening across people and places, and disseminating the findings and other support materials, providing information that will guide other researchers who use these data and tools. In our research, we will examine determinants of screening for two types of cancer (breast and colorectal) among large retrospective cohorts of the elderly population residing in all areas of the United States. We will combine the information contained in detailed health administrative records (Medicare claims) with our newly constructed geospatial variables pertaining to contextual factors that vary across small areas of geography. Our research papers will contribute to a better understanding of the factors that cause variability in cancer screening, and show the significance of place-specific heterogeneity in assessing health behaviors and outcomes. We will demonstrate how this approach might be used to identify locales where targeted interventions could be most effective. Our research, readily available software, public-use geospatial database and Web portal with interactive mapping and geovisualization capabilities will advance the application of new geospatial methods and measurement in social science and behavioral health research.




Geospatial analysis of multiple cancers in individuals in the US, 2004-2014.
Authors: Scott L.C. , Kuo T.M. , Il'yasova D. , Mobley L.R. .
Source: Annals Of Cancer Epidemiology, 2021 Mar; 5, .
EPub date: 2021-03-30 00:00:00.0.
PMID: 33880445
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What Happened to Disparities in CRC Screening Among FFS Medicare Enrollees Following Medicare Modernization?
Authors: Mobley L.R. , Kuo T.M. , Zhou M. , Rutherford Y. , Meador S. , Koschinsky J. .
Source: Journal Of Racial And Ethnic Health Disparities, 2018-09-19 00:00:00.0; , .
EPub date: 2018-09-19 00:00:00.0.
PMID: 30232793
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Medicare modernization and diffusion of endoscopy in FFS medicare.
Authors: Mobley L.R. , Amaral P. , Kuo T.M. , Zhou M. , Bose S. .
Source: Health Economics Review, 2017 Dec; 7(1), p. 13.
EPub date: 2017-03-09 00:00:00.0.
PMID: 28281245
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Spatial Sufficiency of 5% Medicare Standard Analytic Files.
Authors: Mobley L.R. .
Source: Spatial Demography, 2013 Jun; 1(2), p. 202-218.
EPub date: 2015-05-14 00:00:00.0.
PMID: 30023426
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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
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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
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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
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Building A Biomedical Cyberinfrastructure For Collaborative Research
Authors: Schad,P.A. , Mobley,L.R. , Hamilton,C.M. .
Source: American Journal Of Preventive Medicine, 2011 May; 40(5 Suppl 2), p. S144-50.
PMID: 21521587
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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
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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
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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
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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
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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
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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
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