title: Cancer registry policies in the United States and geographic information systems applications in comprehensive cancer control.
abstract: OBJECTIVE
  Through a long history of cancer policies, public health has a foundation for cancer research and data to use in applying technological advancements for U.S. cancer control efforts. Geographic information systems (GIS) are one technology enabling the visualization of cancer risk patterns associated with incidence, mortality, and accessibility to care.
  
  
  METHODS
  U.S. Comprehensive Cancer Control (CCC) program directors were interviewed from 49 of 50 states to assess use and function of GIS tools for mapping data related to cancer control policies and practices. Interviews were coded to obtain frequencies of response associated with content domains mapped using GIS tools and the perceived relative advantages.
  
  
  RESULTS
  Significant relationships were found between the mapping of behavioral risk factors, health care services, transportation access, and policy advantages identified by program managers. The mapping of cancer incidence, mortality, and staging, transportation access, and multiple layers of content were found to have significant associations with perceived research advantages.
  
  
  CONCLUSIONS
  U.S. CCC program managers recognize several important advantages relating to health policy and research for use of GIS tools in cancer control efforts. The application of GIS in U.S. cancer control efforts is employed unevenly, suggesting the need for innovative policies to support accessibility.
authors.affiliation: Department of Communication Arts & Sciences, The Pennsylvania State University, University Park, PA 16802, United States. cghetian@psu.edu
authors.forename: Christie B
authors.initials: CB
authors.lastname: Ghetian
authors.forename: Roxanne
authors.initials: R
authors.lastname: Parrott
authors.forename: Julie E
authors.initials: JE
authors.lastname: Volkman
authors.forename: Eugene J
authors.initials: EJ
authors.lastname: Lengerich
mesh_terms: D001291:Attitude of Health Personnel; D016000:Cluster Analysis; D003710:Demography; D004781:Environmental Exposure; D005568:Forms and Records Control; D040362:Geographic Information Systems / Q000706:statistics & numerical data*; D006291:Health Policy; D006297:Health Services Accessibility; D006801:Humans; D015994:Incidence; D007407:Interviews as Topic; D009367:Neoplasm Staging; D009369:Neoplasms / Q000453:epidemiology* / Q000517:prevention & control; D011635:Public Health Administration / Q000193:education / Q000706:statistics & numerical data; D040442:Public Health Informatics / Q000706:statistics & numerical data*; D012042:Registries / Q000706:statistics & numerical data*; D018570:Risk Assessment; D012309:Risk-Taking; D014481:United States / Q000453:epidemiology