. 2015 Apr;105(Suppl 2):S330–S336. doi: 10.2105/AJPH.2014.302449

TABLE 2—

Predicted Probabilities for Selected EPSDT Outcomes and Covariates of Interest: South Carolina, 1995–2010

Characteristics	No Visit^a	P	Ratio of Observed:Expected Visits^b	P
Fixed effects^c
Intercept	−3.00	< .001	0.493	< .001
Year	0.212	< .001	−0.009	< .001
Year x Year	−0.016	< .001	0.001	< .001
SCDHEC market share^d
Low	Ref		Ref
Average	−0.599		0.082
High	−0.901	< .001	0.107	< .001
Residence
Urban	Ref		Ref
Rural	−0.326	.126	0.038	.057
Year x SCDHEC market share x rural
Low—urban	Ref		Ref
Low—rural	0.061	.006	−0.008	< .001
Average—urban	0.096	< .001	−0.018	< .001
Average—rural	0.141	< .001	−0.027	< .001
High—urban	0.145	.011	−0.013	< .001
High—rural	0.208	.002	−0.033	< .001
Random effects^e
SD, y	0.061		0.007
SD (intercept)	0.561		0.057
Correlation, y (intercept)	−0.483		−0.554

Note. EPSDT = Early Periodic Screening, Diagnosis, and Treatment; SCDHEC = South Carolina Department of Health and Environmental Control.

^{^a}

Model derived using Stata XTMELOGIT.

^{^b}

Model derived using Stata XTMIXED.

^{^c}

All models included additional fixed effects for race/ethnicity, mother’s age, education, marital status, special need status, federally qualified health centers or rural health center market share, private provider capacity, managed care market share, changes in Medicaid enrollment, and reimbursement for EPSDT.

^{^d}

Low is defined as ≤ 19% of visits, average as 20%–59% of visits, and high as ≥ 60% of visits.

^{^e}

All models included random effects for county and year.