Table 2.

Logistic regression models of provision of SUP by agency characteristics

	Univariate Models OR (95% CI)	p	Multivariate Models OR (95% CI)	p
Agency type
Juvenile justice	0.25 (0.10, 0.67)	.006	0.33 (0.11, 0.94)	.037
Behavioral health	Reference		Reference
Agency location
Urban county	Reference
Rural county	1.14 (0.49, 2.64)	.759
Number of doctoral-level full-time equivalent staff	1.35 (0.85, 2.15)	.201
Number of master’s-level full-time equivalent staff	1.06 (1.01, 1.11)	.027	1.05 (1.00, 1.10)	.066
Distribution of female youth in the agency’s caseload
Females as < 30% of youth in the caseload	1.00 (0.33, 3.03)	.995
Females as > = 30% of youth in the caseload	Reference
Female distribution unknown	0.68 (0.22, 2.12)	.503
Distribution of minority youth in the agency’s caseload
Minorities as < 8% of youth in the caseload	0.95 (0.31, 2.94)	.935
Minorities as > = 8% of youth in the caseload	Reference
Minority distribution unknown	0.71 (0.27, 1.85)	.447
Distribution by age in the agency’s caseload
Youth aged 14 and older as < 86% of youth	1.51 (0.54, 4.25)	.430
Youth aged 14 and older as > 86% of youth	Reference
Age distribution unknown	0.97 (0.33, 2.82)	.948
Maximum rate of use of alcohol, marijuana, or non-medical prescription drugs
Maximum use below the median	0.18 (0.04, 0.67)	.011	0.22 (0.07, 0.67)	.008
Maximum use above the median	Reference		Reference
Rate of use unknown	0.39 (0.16, 0.97)	.042	0.33 (0.12, 0.88)	.027

Notes: OR = Odds Ratio, CI = Confidence Interval, Bold indicates p < .05; Italics indicates p < .10 (two-tailed test). Only variables from the univariate analyses with a p < .10 were included in the multivariate model