title: Identifying key variables in African American adherence to colorectal cancer screening: the application of data mining.
abstract: BACKGROUND
  This paper reports on an effort to identify a streamlined set of issues important for colorectal cancer communication and interventions with older African Americans.
  
  
  METHODS
  African American (N = 1,021), 683 women and 338 men, 50 to 75 years completed a telephone survey addressing demographics, colorectal cancer screening, cancer attitudes, and cancer related cultural attitudes. Several data analytics methods were applied and evaluated. Among them, results from associative data mining identified key variables and logistic regression was used to confirm associations to screening adherence.
  
  
  RESULTS
  Sets of co-occurring variables identified by associative data mining methods are extracted to further study differences between adherent and non-adherent groups. Logistic regressions suggested four variables were significantly associated with adherence: healthcare provider colonoscopy recommendation, prevention services at the place health care is usually sought, a history of colitis, and a history of polyps.
  
  
  CONCLUSIONS
  The findings suggest a streamlined set of issues and concerns that may be used by providers advising patients or developing colorectal cancer intervention strategies for older African Americans. The data suggest the continued importance of healthcare provider recommendation to screen. It is important that providers give a clear recommendation to screen regardless of the test ultimately selected and should advise all patients that family history and the absence of symptoms or colitis do not eliminate the value of screening.
authors.affiliation: Brown School, Washington University in St, Louis, St, Louis, MO, USA. vthompson22@wustl.edu.
authors.forename: Vetta L Sanders
authors.initials: VL
authors.lastname: Thompson
authors.forename: Sean
authors.initials: S
authors.lastname: Lander
authors.forename: Shuyu
authors.initials: S
authors.lastname: Xu
authors.forename: Chi-Ren
authors.initials: CR
authors.lastname: Shyu
mesh_terms: D001741:Black or African American / Q000706:statistics & numerical data; D000368:Aged; D003113:Colonoscopy / Q000706:statistics & numerical data*; D015179:Colorectal Neoplasms / Q000175:diagnosis / Q000208:ethnology / Q000517:prevention & control*; D003466:Cultural Characteristics; D057225:Data Mining; D055088:Early Detection of Cancer / Q000706:statistics & numerical data*; D005260:Female; D006306:Health Surveys; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D010342:Patient Acceptance of Health Care; D013689:Telephone; D014481:United States