Table 2.

Predictors of county-level mammography capacity

Characteristic	2000		2010
	Coefficient	p	Coefficient	p
Proportion age 65+	0.384	NS	0.486	<0.05
Proportion black	−0.020	NS	0.054	NS
Proportion at or below poverty	1.076	<0.0001	0.200	NS
Proportion without high school diploma	−0.596	0.0003	−0.543	<0.01
Proportion rural	−0.193	<0.0001	−0.033	NS
Proportion uninsured	−1.121	0.0005	−1.074	<0.0001
Medicare managed care penetration	−0.384	<0.0001	−0.432	<0.0001
Population density	−0.079	<0.0001	−0.090	<0.0001
Primary care physicians per 100,000	0.017	NS	−0.023	<0.05
Radiologists per 100,000	0.010	NS	0.010	NS
Hospital beds per 100,000	0.079	<0.0001	0.081	<0.0001

Notes:

The adjusted impact of each characteristic on county-level mammography capacity was estimated in separate multivariable linear regression models, where the dependent variable was the natural of mammography capacity in the respective year. All characteristics shown were included in each model, and county characteristics corresponded with the year in which capacity was defined. Population density and the numbers of primary care physicians, radiologists and hospital beds per population were included as log-transformed variables.

NS: not statistically significant at p<0.05.