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. 2015 Feb 13;50(5):1508–1527. doi: 10.1111/1475-6773.12288

Table 2.

The Association between Low State Acceptance of New Medicaid Patients and Measures of Experience with Physician Availability for Children on Medicaid or CHIP (NHIS 2011/2012)

Percentage Point Effect Relative to Children in States with Acceptance of at Least 75% (Standard Error in Parentheses) Percent of Primary Care Physicians Accepting New Medicaid Patients
<60% 60–74%
Adjusted using Medicaid/CHIP sample (n = 9,009)
 Doctor's office or clinic indicated that they did not accept child's insurance 4.16*** (1.15) 1.79** (0.72)
 Had trouble finding a general doctor or provider to see the child 2.08*** (0.77) 1.38*** (0.51)
 Was not able to get a general doctor or provider to see the child 1.57*** (0.45) 0.37 (0.22)
 Did not get care in the last year because it took too long to get an appointment 2.91** (1.17) 1.63** (0.79)
 Did not get care in the past year because the wait in the doctor's office was too long 1.54 (1.13) 0.55 (0.71)
 At least one visit with a doctor or health care professional in the past year −2.88* (1.61) −1.37 (0.87)
Adjusted using Medicaid/CHIP and private insurance sample (n = 20,787)
 Doctor's office or clinic indicated that they did not accept child's insurance 3.39*** (0.97) 1.66** (0.64)
 Had trouble finding a general doctor or provider to see the child 1.72** (0.68) 1.20** (0.45)
 Was not able to get a general doctor or provider to see the child 1.43*** (0.42) 2.99 (0.19)
 Did not get care in the last year because it took too long to get an appointment 2.79*** (0.94) 1.94*** (0.72)
 Did not get care in the past year because the wait in the doctor's office was too long 2.42** (1.01) 1.18* (0.69)
 At least one visit with a doctor or health care professional in the past year −2.98** (1.40) −1.31 (0.86)

Notes: The symbols *, **, and *** indicate statistical significance at the 10, 5, and 1 percent levels, respectively, relative to “75%+”. The first panel of the table reports coefficients (with standard errors in parentheses) on dichotomous variables for each category of acceptance of new Medicaid patients. The second panel reports the sum of the coefficients (with standard errors in parentheses) on a dichotomous variable representing that the child is on Medicaid/CHIP (rather than privately insured) and that dichotomous variable multiplied by the measure of state acceptance of new Medicaid patients. Coefficients for control variables included are presented in Appendix Table S2.