Table 2 Negative binomial models for wait time and retention

Client characteristics

 Female

1.254, 2.230

1.030

0.954, 1.112

 Year

0.307, 1.328

1.113

0.998, 1.241

 Age

0.993, 1.024

1.004*

1.001, 1.007

 Minorities (Black, Latino, Other)

0.733, 2.431

0.941

0.774, 1.144

 Education (years)

0.990, 1.139

0.998

0.989, 1.006

 Employed

0.820, 1.955

1.072

0.971, 1.183

 Homeless

1.251, 2.696

0.877*

0.792, 0.970

 Mental health issues

1.265, 2.485

1.011

0.936, 1.091

 Age using primary drug

0.976, 1.024

0.994***

0.991, 0.997

 Days using primary drug

1.026, 1.076

0.989***

0.984, 0.994

 Court mandated referral

1.473, 9.880

0.860

0.729, 1.015

 # Children under 18

1.048, 1.493

0.961***

0.938, 0.985

 Medi-Cal eligible

0.109, 0.465

1.074

0.981, 1.176

 # prior episodes

1.016, 1.168

1.022***

1.014, 1.030

 Medication for opioids

0.078, 5.180

1.178

0.913, 1.519

Program characteristics

 Medi-Cal payment acceptance

0.199, 3.172

0.763

0.558, 1.043

Financial variables

 Reserve ratio

0.714, 1.688

1.013

0.993, 1.033

 Equity ratio

0.355, 2.523

1.493***

1.168, 1.908

 Mark up

0.950, 1.084

0.993*

0.986, 0.999

 Revenue growth

0.998, 1.001

1.000

1.000, 1.000

 Earned revenue

0.053, 0.955

0.745*

0.559, 0.994

Interactions

 Minorities*Equity ratio

0.796*

0.645, 0.981

 Minorities*Markup

1.014, 1.143

 Minorities*Earned revenue

1.256*

1.035, 1.525

 log Alpha

3.452, 4.317

0.239

0.134, 0.343

 # treatment episodes

5028

5028

 # treatment programs

70

70