Table 5.

Odds Ratios with 95% CI for logistic regression analysis for different comparisons of receipt of Opioid agonist therapy modalities

	Odds Ratio (95% CI)	p-value	Standardized Coefficient*
Model 1: Odds of receipt of Buprenorphine only compared to Methadone only
Age (10 year increments)	0.67 (0.64-0.70)	<.0001	−0.29
Urban Residence	0.74 (0.25-0.33)	<.0001	−0.26
Black Race	0.39 (0.35-0.43)	<.0001	−0.23
VA Pension Receipt	0.69 (0.59-0.80)	<.0001	−0.06
Charlson Comorbidity Index	0.92 (0.90-0.95)	<.0001	−0.08
Schizophrenia Diagnosis	0.65 (0.52-0.81)	0.0002	−0.05
Model 2: Odds of receipt of Both Buprenorphine and Methadone in same year Vs Methadone only
Age (10 year increments)	0.63 (0.60-0.66)	<0.0001	0.33
Urban Residence	0.35 (0.30-0.42)	<0.0001	0.17
Black Race	0.50 (0.44-0.57)	<0.0001	0.18
Charlson comorbidity Index	0.96 (0.93-0.99)	0.0064	0.05
Schizophrenia Diagnosis	0.60 (0.44-0.81)	0.0007	0.06
Model 3: Odds of receipt of Buprenorphine only compared to Buprenorphine and Methadone in same year
Age (10 year increments)	1.06 (1.02-1.10)	0.003	0.05
Urban Residence	0.81 (0.71-0.91)	0.004	−0.05
VA Pension Receipt	0.78 (0.64-0.96)	0.0183	−0.03
Black Race	0.76 (0.65-0.88)	0.0004	−0.05

^*The greater the absolute value of the standardized coefficient, the greater the predicted change in the probability of the outcome given a 1 -standard deviation change in the corresponding predictor variable, holding constant the other predictors in the model.