The Effect of Gynecologic Oncologist Availability on Ovarian Cancer Mortality
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.
Clear All

The Effect of Gynecologic Oncologist Availability on Ovarian Cancer Mortality

Filetype[PDF-429.39 KB]

  • Alternative Title:
    World J Obstet Gynecol
  • Description:
    AIM To determine the association between the distribution of gynecologic oncologist (GO) and population-based ovarian cancer death rates. MATERIALS AND METHODS Data on ovarian cancer incidence and mortality in the United States (U.S.) was supplemented with U.S. census data, and analyzed in relation to practicing GOs. GO locations were geocoded to link association between county variables and GO availability. Logistic regression was used to measure areas of high and low ovarian cancer mortality, adjusting for contextual variables. RESULTS Practicing GOs were unevenly distributed in the United States, with the greatest numbers in metropolitan areas. Ovarian cancer incidence and death rates increased as distance to a practicing GO increased. A relatively small number (153) of counties within 24 miles of a GO had high ovarian cancer death rates compared to 577 counties located 50 or more miles away with high ovarian cancer death rates. Counties located 50 or more miles away from a GO practice had an almost 60% greater odds of high ovarian cancer mortality compared to those with closer practicing GOs (OR 1.59, 95% CI 1.18–2.15). CONCLUSION The distribution of GOs across the United States appears to be significantly associated with ovarian cancer mortality. Efforts that facilitate outreach of GOs to certain populations may increase geographic access. Future studies examining other factors associated with lack of GO access (e.g. insurance and other socioeconomic factors) at the individual level will assist with further defining barriers to quality ovarian cancer care in the United States.
  • Pubmed ID:
  • Pubmed Central ID:
  • Document Type:
  • Collection(s):
  • Main Document Checksum:
  • File Type:
No Related Documents.

You May Also Like: