Table 3.
Predictors of change in county-level mammography capacity, 2000-2010
| Characteristic | Coefficient | p |
|---|---|---|
| Mammography capacity, 2000 | −0.630 | <0.0001 |
| Proportion age 65+, 2000 | 0.372 | NS |
| Change in proportion age 65+ | −3.709 | <0.0001 |
| Proportion black, 2000 | −0.046 | NS |
| Change in proportion black | 0.830 | NS |
| Proportion at or below poverty, 2000 | 0.119 | NS |
| Change in proportion in poverty | −1.108 | 0.0007 |
| Proportion without high school diploma, 2000 | −0.777 | <0.0001 |
| Change in proportion without diploma | −0.185 | <0.01 |
| Proportion rural, 2000 | 0.139 | 0.0027 |
| Change in proportion rural | −0.060 | NS |
| Proportion uninsured, 2000 | −0.046 | NS |
| Change in proportion uninsured | −0.350 | NS |
| Medicare managed care penetration, 2000 | −0.273 | <0.01 |
| Change in managed care penetration | −0.161 | <0.05 |
| Population density, 2000 | −0.038 | <0.0001 |
| Change in population density | −0.557 | <0.0001 |
| Primary care physicians per 100,000, 2000 | −0.012 | NS |
| Change in primary care physicians per 100,000 | −0.002 | NS |
| Radiologists per 100,000, 2000 | −0.001 | NS |
| Change in radiologists per 100,000 | 0.007 | NS |
| Hospital beds per 100,000, 2000 | 0.040 | <0.0001 |
| Change in hospital beds per 100,000 | 0.046 | <0.0001 |
Notes:
The adjusted impact of each county characteristic on change in county mammography capacity was estimated in a linear regression model where the dependent variable was the natural log of change in capacity between 2000 and 2010. All characteristics shown here were included in the model. The estimated coefficients for each predictor in can be interpreted as impacts on the rate of change in county mammography capacity.
NS: not statistically significant at p<0.05.