title: Disparities in use of gynecologic oncologists for women with ovarian cancer in the United States.
abstract: OBJECTIVE
  To examine disparities in utilization of gynecologic oncologists (GOs) across race and other sociodemographic factors for women with ovarian cancer.
  
  
  METHODS
  Obtained SEER-Medicare linked dataset for 4,233 non-Hispanic White, non-Hispanic African American, Hispanic of any race, and Non-Hispanic Asian women aged ≥ 66 years old diagnosed with ovarian cancer during 2000-2002 from 17 SEER registries. Physician specialty was identified by linking data to the AMA master file using Unique Physician Identification Numbers.
  
  
  METHODS
  Retrospective claims data analysis for 1999-2006. Logistic regression models were used to analyze the association between GO utilization and race/ethnicity in the initial, continuing, and final phases of care.
  
  
  RESULTS
  GO use decreased from the initial to final phase of care (51.4-28.8 percent). No racial/ethnic differences were found overall and by phase of cancer care. Women >70 years old and those with unstaged disease were less likely to receive GO care compared to their counterparts. GO use was lower in some SEER registries compared to the Atlanta registry.
  
  
  CONCLUSIONS
  GO use for the initial ovarian cancer treatment or for longer term care was low but not different across racial/ethnic groups. Future research should identify factors that affect GO utilization and understand why use of these specialists remains low.
authors.affiliation: Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
authors.forename: Shamly
authors.initials: S
authors.lastname: Austin
authors.forename: Michelle Y
authors.initials: MY
authors.lastname: Martin
authors.forename: Yongin
authors.initials: Y
authors.lastname: Kim
authors.forename: Ellen M
authors.initials: EM
authors.lastname: Funkhouser
authors.forename: Edward E
authors.initials: EE
authors.lastname: Partridge
authors.forename: Maria
authors.initials: M
authors.lastname: Pisu
mesh_terms: D001741:Black or African American; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006176:Gynecology / Q000706:statistics & numerical data*; D054625:Healthcare Disparities / Q000706:statistics & numerical data*; D006630:Hispanic or Latino; D006801:Humans; D007345:Insurance Claim Review / Q000706:statistics & numerical data; D008495:Medical Oncology / Q000706:statistics & numerical data*; D006278:Medicare / Q000706:statistics & numerical data; D010051:Ovarian Neoplasms / Q000208:ethnology* / Q000628:therapy*; D012189:Retrospective Studies; D018426:SEER Program / Q000706:statistics & numerical data; D012959:Socioeconomic Factors; D014481:United States; D044465:White People