Health Services Research
Latest posts by Health Services Research (see all)
- New Evidence on What Works in Effective Public Reporting - Apr. 28, 2016
- Response to Inference Using Sample Means of Parametric Nonlinear Data Transformations - Apr. 20, 2016
- High-Cost Users of Prescription Drugs: A Population-Based Analysis from British Columbia,… - Apr. 19, 2016
- Inference Using Sample Means of Parametric Nonlinear Data Transformations - Apr. 19, 2016
Objective To examine disparities in utilization of gynecologic oncologists (GOs) across race and other sociodemographic factors for women with ovarian cancer. Data Sources 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. Study Design 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.
Link to original –