204172
Transportation barriers to mammography screening clinics in the Atlanta, Georgia metropolitan area
Tuesday, November 10, 2009
Lucy Peipins, PhD
,
Nccdphp, Centers for Disease Control, Atlanta, GA
Rand Young, MA
,
Atsdr, Centers for Disease Control, Atlanta, GA
Brian Lewis
,
Atsdr, Centers for Disease Control, Atlanta, GA
Barry E. Flanagan, PhD
,
Atsdr, Centers for Disease Control, Atlanta, GA
Stephanie Foster, MPH
,
Atsdr, Centers for Disease Control, Atlanta, GA
Andrew L. Dent, MA, MBA
,
Atsdr, Centers for Disease Control, Atlanta, GA
Many studies have described distance as a barrier to breast cancer screening and treatment for rural areas. However, less is known about time and distance as a barrier to mammography facilities in urban areas where many women are dependent upon public transportation for access to care. Using GIS methods, we examined spatial and temporal accessibility to mammography facilities for residents living in economically disadvantaged areas in two Atlanta, Georgia metropolitan area counties. Census 2000 data was used to characterize census tracts with economically disadvantaged female populations. Dasymetric mapping techniques were used to create weighted population centroids within the census tracts and to eliminate zones of zero population. A multimodal transportation network was built to calculate travel times and distance from each centroid to the nearest mammography facility. We compared travel times of census tracts in which women are more likely to use public transportation to tracts in more affluent areas in which women are more likely to use private transportation. Preliminary results show transportation time may pose a barrier to mammography screening for economically disadvantaged women in Atlanta. There is a strong correlation (r=0.912) between poverty and no private vehicle availability. This suggests that impoverished women must rely on public transportation for access to mammography clinics. Using GIS, we will geographically describe time and distance barriers to facilities by levels of poverty as well as by race and ethnicity. These results will be useful in determining new locations for facilities to better serve low-income women who depend on public transportation.
Learning Objectives: Identify time and distance barriers to mammography screening clinics.
Presenting author's disclosure statement:Qualified on the content I am responsible for because: MA, Geography; Graduate Certificate in Public Health; 5 years experience as a GIS analyst in the use of GIS in public health
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.
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