Table 3.
Linear regression of participant potential spatial access to oncology care on census tract percent Black among female patients diagnosed with breast cancer in GA from 1999 to 2003
| Intercept | Coeficient | SE | P value | |
|---|---|---|---|---|
| Less distance decay (friction parameter = 1) | ||||
| All women | −10.29 | 0.0920 | 0.0013 | <0.0001 |
| White women | −10.26 | 0.0290 | 0.0022 | <0.0001 |
| Black women | −9.73 | 0.0437 | 0.0022 | <0.0001 |
| More distance decay (friction parameter = 2) | ||||
| All women | −11.00 | 0.1403 | 0.0031 | <0.0001 |
| White women | −11.03 | 0.1160 | 0.0056 | <0.0001 |
| Black women | −10.43 | 0.0786 | 0.0055 | <0.0001 |
Potential spatial access is measured with gravity-based modeling of oncology supply, potential demand (population density), distance from patient to oncology services, and a distance decay function (‘friction parameter’). Resulting values were small and skewed, and thus log-transformed for modeling. Friction of 1 indicates less influence of travel distance on access; friction of 2 is greater influence of travel distance on potential access