title: Race and Insurance Differences in the Receipt of Adjuvant Chemotherapy Among Patients With Stage III Colon Cancer.
abstract: OBJECTIVE
  Although the incidence and mortality of colon cancer in the United States has declined over the past two decades, blacks have worse outcomes than whites. Variations in treatment may contribute to mortality differentials.
  
  
  METHODS
  Patients diagnosed with stage III colon cancer were randomly sampled from the SEER program from the years 1990, 1991, 1995, 2000, 2005, and 2010. Patients were categorized as non-Hispanic white (n = 835) or black (n = 384). Treatment data were obtained from a review of the medical records, and these data were verified through contact with the original treating physicians. Log-binomial regression models were used to estimate the association between race and receipt of adjuvant chemotherapy. Effect modification by insurance was assessed with use of single referent models.
  
  
  RESULTS
  Receipt of adjuvant chemotherapy among both white and black patients increased from the period encompassing the years 1990 and 1991 (white, 58%; black, 45%) to the year 2005 (white, 72%; black, 71%) and then decreased in the year 2010 (white, 66%; black, 57%). There were marked racial disparities in the time period of 1990 to 1991 and again in 2010, with black patients less likely to receive adjuvant chemotherapy as compared with white patients (risk ratio [RR], .82; 95% CI, .72 to .93). For black patients, receipt of adjuvant chemotherapy did not differ across insurance categories (RR for private insurance, .80; 95% CI, .69 to .93; RR for Medicare, .84; 95% CI, .69 to 1.02; and RR for Medicaid, .84; 95% CI, .69 to 1.02), although a larger proportion had Medicaid in all years of the study as compared with white patients.
  
  
  CONCLUSIONS
  The chemotherapy differential narrowed after the time period of 1990 to 1991, but our findings suggest that the disparity reemerged in 2010. Recent decreases in chemotherapy use may be due, in part, to the economic downturn and an increase in Medicaid coverage.
authors.affiliation: Caitlin C. Murphy, University of North Carolina at Chapel Hill, Chapel Hill, NC; and Linda C. Harlan, Joan L. Warren, Ann M. Geiger, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD. caitlin_murphy@med.unc.edu.
authors.forename: Caitlin C
authors.initials: CC
authors.lastname: Murphy
authors.affiliation: Caitlin C. Murphy, University of North Carolina at Chapel Hill, Chapel Hill, NC; and Linda C. Harlan, Joan L. Warren, Ann M. Geiger, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.
authors.forename: Linda C
authors.initials: LC
authors.lastname: Harlan
authors.affiliation: Caitlin C. Murphy, University of North Carolina at Chapel Hill, Chapel Hill, NC; and Linda C. Harlan, Joan L. Warren, Ann M. Geiger, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.
authors.forename: Joan L
authors.initials: JL
authors.lastname: Warren
authors.affiliation: Caitlin C. Murphy, University of North Carolina at Chapel Hill, Chapel Hill, NC; and Linda C. Harlan, Joan L. Warren, Ann M. Geiger, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.
authors.forename: Ann M
authors.initials: AM
authors.lastname: Geiger
mesh_terms: D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data*; D000368:Aged; D000971:Antineoplastic Combined Chemotherapy Protocols / Q000191:economics* / Q000627:therapeutic use*; D017024:Chemotherapy, Adjuvant; D003110:Colonic Neoplasms / Q000188:drug therapy* / Q000191:economics / Q000208:ethnology* / Q000473:pathology; D005260:Female; D006801:Humans; D019458:Insurance Coverage; D007348:Insurance, Health; D008297:Male; D008484:Medicaid; D006278:Medicare; D008875:Middle Aged; D009367:Neoplasm Staging; D016017:Odds Ratio; D012306:Risk; D018426:SEER Program; D012494:Sampling Studies; D014481:United States; D044465:White People / Q000706:statistics & numerical data*