Race, epithelial ovarian cancer survival, and membership in a large health maintenance organization

Epidemiology. 2002 Mar;13(2):231-4. doi: 10.1097/00001648-200203000-00021.

Abstract

Background: African-American ovarian cancer patients present with more advanced disease and have poorer survival than do white patients.

Methods: To determine whether these differences occur among African-American and white patients who have equal access to medical care, we analyzed ovarian cancer patient characteristics separately for 1,587 members of the Kaiser Permanente Medical Plan of Northern California and 5,757 non-members.

Results: The distributions of disease stage at diagnosis were similar among African-American and white patients, both in the Kaiser plan and elsewhere. However, ovarian cancer death rates, adjusted for disease stage and age at diagnosis and for histology, were higher for African-American patients compared with white patients, regardless of Kaiser membership status. The death rate ratios for African-Americans compared with whites were 1.32 (95% CI = 1.02-1.70) for Kaiser members and 1.20 (95% CI = 1.04-1.40) for Kaiser non-members.

Conclusion: Further research within an equal-access care system is needed to evaluate other important factors such as specialty of surgeon, extent of residual tumor after surgery, chemotherapy treatment, and postoperative management to determine whether these factors are contributing to the differences in survival between African-American and white ovarian cancer patients.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Black or African American / statistics & numerical data*
  • California / epidemiology
  • Female
  • Health Maintenance Organizations / standards
  • Health Maintenance Organizations / statistics & numerical data*
  • Health Services Accessibility*
  • Humans
  • Middle Aged
  • Multivariate Analysis
  • Ovarian Neoplasms / ethnology*
  • Ovarian Neoplasms / mortality
  • Survival Analysis
  • White People / statistics & numerical data