Table 4.

Results from three-level hierarchal generalized logistic model (HGLM) analysis predicting odds of leukodystrophy among a subgroup of children with complex chronic conditions (CCC) (n=439,024 children)

	Coeff.	Odds Ratio	SE	t-ratio	p-value
Hospital Level
Intercept	−7.051	−0.001	0.087	−81.314	<0.001
Center of Excellence	0.376	1.456	0.073	5.112	<0.001
Hospital months	0.004	1.004	0.011	0.406	0.687
Zip Code Level
Median household Income	0.001	1.000	0.001	1.206	0.228
HPSA flag	−0.110	0.896	0.063	−1.739	0.082
Distance to hospital	0.001	1.001	0.001	2.186	0.029
Proportion non-White	−0.272	0.762	0.195	−1.396	0.163
Urban/Rural Context
Urban core	REF	REF	REF	REF	REF
Large rural	0.080	1.083	0.079	1.016	0.31
Small rural	0.223	1.249	0.094	2.374	0.018
Isolated	0.383	1.467	0.129	2.970	0.003
Other urban	−0.030	0.971	0.076	−0.391	0.696
Patient Level
Age at first admit in study
period	−0.001	0.999	0.004	−0.312	0.755
Male (versus female)	0.284	1.329	0.061	4.652	<0.001
Inpatient days (per time in PHIS)	−0.407	0.666	0.311	−1.307	0.191
Number of admits (per time in PHIS)	1.164	3.202	0.182	6.401	<0.001
Patient Race/Ethnicity
White, non-Hispanic	REF	REF	REF	REF	REF
Hispanic	0.085	1.089	0.076	2.226	0.265
Black, non-Hispanic	−0.464	0.629	0.083	−5.595	<0.001
Asian, non-Hispanic	−0.302	0.739	0.207	−1.459	0.144
Other race, non-Hispanic	0.189	1.201	0.077	2.440	0.015
Patient Payer Status
Private payer	REF	REF	REF	REF	REF
Government payer	0.365	1.440	0.057	6.453	<0.001
Other payer	0.415	1.514	0.154	2.688	0.007