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Impact of distance to care, race, and socioeconomic status on ovarian cancer survival in California: A spatial analysis
Methods: Patients diagnosed with Stage IIIC/IV epithelial ovarian cancer from 1/1/96 to 12/31/06 were identified from the California Cancer Registry. Generalized additive models (GAMs) were used to identify the spatial distribution of ovarian cancer survival by smoothing residential location. The impact of distance travelled to receive care, race, and SES on survival patterns was assessed while adjusting for age and tumor characteristics.
Results: Of the 11,765 patients identified, 28.6% survived the first 3 years and 12.7% survived the first 5 years. Distance to receive care >32 km was associated with increased odds of surviving 3 years (OR=1.16, 95%CI=1.02-1.33), but not with odds of surviving 5 years (OR=0.99, 95%CI=0.83-1.18). Women of low SES (OR=0.78, 95%CI=0.68-0.90) and African American women (OR=0.60, 95%CI=0.48-0.76) had decreased odds of surviving the first 3 years. After accounting for distance traveled, SES, and race, the odds of surviving the first 3 years was lower in southern California compared to the rest of the state. The further women traveled to receive care, the more likely they were to receive care adherent to National Comprehensive Cancer Network (NCCN) guidelines (p<0.0001).
Conclusions: Traveling long distances (>32km) to receive care is associated with increased odds of surviving the first 3 years with advanced-stage ovarian cancer. Geographic barriers disproportionately affect survival among racial minorities and women of low-SES who are less likely to travel long distances to receive NCCN guideline adherent care.
Learning Areas:
EpidemiologyPublic health or related research
Learning Objectives:
Discuss how the distribution of race and SES of ovarian cancer cases in CA vary by distance traveled to receive care.
Compare spatial patterns of ovarian cancer survivorship in CA before and after adjusting for race, SES, and tumor characteristics.
Keyword(s): Geographic Information Systems (GIS), Underserved Populations
Qualified on the content I am responsible for because: I have been the principal or co-principal of several NIH funded grants focusing on spatial epidemiology. My research interests include spatio-temporal analyses of health data for examining the contributions of known risk factors, community variables, and environmental exposures to the underlying geographic pattern of disease risk.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.