title: Racial and geographic disparities in late-stage prostate cancer diagnosis in Florida.
abstract: Abstract:Disparities in prostate cancer diagnosis among racial/ethnic     groups and across Florida were mapped for the period 1996-2002 and     their relationship with putative factors (individual, census tract and     county level) was investigated using multilevel modeling and     contingency analysis. More counties had higher rates of late-stage     diagnosis for Black men than for White men and the location of these     racial disparities changed with time. An important finding was the     substantially larger correlation between county-level rates for Black     and White men in 2002 relatively to 1996, which suggests a convergence     in their spatial patterns. Major significant factors for late-stage     diagnosis included lack of insurance, low household income, smoking,     not being married and presence of farm house. These findings should     help the design of intervention programs to target counties with the     greatest racial disparities in health outcomes. Additional analysis is     needed to disentangle the observed racial/ethnic and geographic     differences.
authors.affiliation: College of Pharmacy and Pharmaceutical Sciences, Florida A&M University, FL, USA. hong.xiao@famu.edu
authors.forename: Hong
authors.initials: H
authors.lastname: Xiao
authors.forename: Fei
authors.initials: F
authors.lastname: Tan
authors.forename: Pierre
authors.initials: P
authors.lastname: Goovaerts
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D057210:Delayed Diagnosis; D005006:Ethnicity / Q000706:statistics & numerical data; D005431:Florida / Q000453:epidemiology; D040362:Geographic Information Systems; D005843:Geography; D006301:Health Services Needs and Demand; D054624:Health Status Disparities; D054625:Healthcare Disparities; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011159:Population Surveillance; D011471:Prostatic Neoplasms / Q000175:diagnosis / Q000453:epidemiology / Q000208:ethnology*; D012044:Regression Analysis; D012959:Socioeconomic Factors; D015996:Survival Rate
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