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Table 3 Sample statistics by county (N) by regime (REG1, REG2, REG3), mammography sample (female, 2003-2005)

From: Macro-level factors impacting geographic disparities in cancer screening

 

REG11R14 = 1 & R25 = 1 (N = 2,056)

REG21R14 = 1 & R25 = 0 (N = 632)

REG31R14 = 0 & R25 = 0 (N = 445)reference group

% Mammography screening in 2003-2005, among FFS Medicare population

56.6 (7.5)

53.9 (7.6)

54.7 (8.5)

% Age 65-74 in FFS Medicare

61.3 (4.7)

63.1 (4.1)

60.8 (5.2)

% Age 75-84 in FFS Medicare

31.3 (3.4)

29.9 (3.1)

31.1 (3.6)

% Age 85+ in FFS Medicare

7.4 (1.8)

7.0 (1.8)

8.1 (2.3)

% Dual or ESRD in FFS Medicare

20.3 (10.0)

23.6 (11.7)

21.4 (14.1)

% White in FFS Medicare

87.9 (11.5)

83.1 (12.2)

85.2 (15.5)

% Black in FFS Medicare

5.2 (9.7)

7.2 (10.5)

8.0 (14.8)

% Hispanic in FFS Medicare

0.38 (1.5)

2.5 (5.8)

0.15 (0.4)

% Other race in FFS Medicare

6.6 (6.4)

7.1 (7.2)

6.6 (6.5)

% Mover in 2001-2005 in FFS Medicare

5.6 (2.6)

6.1 (2.3)

5.1 (2.3)

Average distance to closest provider

11.6 (23.1)

16.6 (18.5)

19.9 (17.1)

Managed care penetration, 2001

12.3 (13.3)

7.9 (10.8)

2.2 (4.3)

Managed care penetration, 1998

0.3 (2.1)

0.1 (0.3)

0.1 (0.1)

Population density in 2001 (in thousands)

12.6 (4.5)

15.2 (5.2)

14.1 (5.5)

% US population in poverty in 2001

47

62.5

25

% states allowing NP to practice and/or prescribe

11.8 (4.5)

15.0 (3.7)

18.1 (7.8)

% of counties with MD Shortage

63.9 (8.2)

56.9 (9.4)

65.3 (11.6)

% of Medicare population with Supplemental MediGap

63.1

64

78.5

  1. 1We defined three insurance regulatory ‘regimes’ based on the combination of the two state insurance regulatory variables (R14, external review and R25, continuity of care.
  2. Regime 1 (REG1) was defined as having both regulations in place (R14 = 1, R25 = 1). Regime 2 (REG2) was defined as having only one of these regulations in place (R14 = 1). Regime 3 (REG3) included all other states, which had neither regulation. See Table 7 for Regime Membership by States.