title: Spatial Heterogeneity in Cancer Control Planning and Cancer Screening Behavior.
abstract: Each state is autonomous in its comprehensive cancer control (CCC) program, and considerable heterogeneity exists in the program plans. However, researchers often focus on the concept of nationally representative data and pool observations across states using regression analysis to come up with average effects when interpreting results. Due to considerable state autonomy and heterogeneity in various dimensions-including culture, politics, historical precedent, regulatory environment, and CCC efforts-it is important to examine states separately and to use geographic analysis to translate findings in place and time. We used 100 percent population data for Medicare-insured persons aged 65 or older and examined predictors of breast cancer (BC) and colorectal cancer (CRC) screening from 2001-2005. Examining BC and CRC screening behavior separately in each state, we performed 100 multilevel regressions. We summarize the state-specific findings of racial disparities in screening for either cancer in a single bivariate map of the 50 states, producing a separate map for African American and for Hispanic disparities in each state relative to whites. The maps serve to spatially translate the voluminous regression findings regarding statistically significant disparities between whites and minorities in cancer screening within states. Qualitative comparisons can be made of the states' disparity environments or for a state against a national benchmark using the bivariate maps. We find that African Americans in Michigan and Hispanics in New Jersey are significantly more likely than whites to utilize CRC screening and that Hispanics in 6 states are significantly and persistently more likely to utilize mammography than whites. We stress the importance of spatial translation research for informing and evaluating CCC activities within states and over time.
authors.affiliation: RTI International.
authors.forename: Lee R
authors.initials: LR
authors.lastname: Mobley
authors.affiliation: RTI International.
authors.forename: Tzy-Mey
authors.initials: TM
authors.lastname: Kuo
authors.affiliation: RTI International.
authors.forename: Matthew
authors.initials: M
authors.lastname: Urato
authors.affiliation: RTI International.
authors.forename: Sujha
authors.initials: S
authors.lastname: Subramanian
authors.affiliation: RTI International.
authors.forename: Lisa
authors.initials: L
authors.lastname: Watson
authors.affiliation: Arizona State University.
authors.forename: Luc
authors.initials: L
authors.lastname: Anselin
keywords: bivariate mapping; comprehensive cancer control; geographic disparities; spatial heterogeneity; spatial translation