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. Author manuscript; available in PMC: 2019 Apr 1.
Published in final edited form as: J Subst Abuse Treat. 2018 Feb 3;87:50–55. doi: 10.1016/j.jsat.2018.01.010

TABLE 2.

Results of Mixed Logistic Regression Model for State Benefit Design and Program Features

Variable Adjusted Odds Ratio Confidence Interval
Lower Upper
Benefits Design
 Benefits restrictiveness *0.65 0.43 0.97
 Covers oral naltrexone 1.87 0.34 10.30
 Covers methadone 0.67 0.15 2.93
 Number of utilization limits 0.95 0.84 1.06
 Percent residents Medicaid eligible 1.03 0.86 1.22
Program Capacity
 Use of electronic health records **2.75 1.37 5.52
 Ability to bill insurance *2.38 1.16 4.89
 Percent staff with computers *1.02 1.01 1.03
 Physician employed on staff 0.96 0.41 2.23
 Physician required for treatment 0.73 0.19 2.78
Control Variables
 Nonprofit **3.33 1.35 8.21
 Publicly-owned *4.02 1.21 13.33
 Offers inpatient treatment 1.33 0.36 4.91
 Offers residential treatment **0.32 0.13 0.77
 Opioid treatment program (OTP) 0.72 0.19 2.68
 Accredited 2.06 0.86 4.93
 Average Caseload 0.98 0.71 1.34
 Number of Tx Programs in county 0.10 0.99 1.00
 Methadone* OTP interaction *3.21 1.02 10.15
*

p<0.05;

**

p<0.01