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Appendix Table 3.
Full regression results for the effects of multiple cost control methods on the probability of not getting prescription drugs due to cost.


Variable Coefficient
Intercept 0.09
State has 2 or 3 cost control methods (compared with 0 or 1) 0.10**
State has 4 or 5 cost control methods (compared with 0 or 1) 0.18*
Age 35-44 0.02
Age 45-54 0.04
Age 55-64 -0.05
Female 0.11*
Family income 100-199% of poverty 0.005
Family income 200-299% of poverty -0.01
Family income 300-399% of poverty -0.11*
Family income 400% of poverty or higher -0.12*
Black 0.05
Hispanic -0.01
Other race 0.004
Interview not conducted in English -0.06
Excellent, very good health -0.11*
Good health -0.05
1 chronic condition 0.09*
2 or more chronic conditions 0.21*
Married 0.03
Children in family 0.02
Covered by Medicaid only part year 0.13*
Person enrolled in HMO -0.01
Percent of Medicaid beneficiaries in managed care (state-level) -0.0002
Number of physicians per 1,000 persons (county) -0.02*
Northeast region -0.05
Midwest region -0.02
West region 0.03
Large MSA residence (greater than 200,000 persons) -0.03
Small MSA residence (less than 200,000 persons 0.04

* p < .05
** p < .10

Note: Effects of individual cost-control methods are shown in Table 6 (all based on separate regressions). Effects of other independent variables are similar across all regression models.




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