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Table 4 Dynamic panel models predicting SUD treatment utilization

From: Organizational access points and substance use disorder treatment utilization among Black women: a longitudinal cohort study

 

Total

Community

Prison

Probation

Model

(1)

Partially adjusted

(2)

Fully adjusted

(1)

Partially adjusted

(2)

Fully adjusted

(1)

Partially adjusted

(2)

Fully adjusted

(1)

Partially adjusted

(2)

Fully adjusted

Time variant variables

Health Services

Prior addiction treatment

0.26*

(0.03, 0.48)

0.23*

(0.03, 0.43)

0.21

(-0.10, 0.52)

0.01

(-0.20, 0.22)

0.05

(-0.23, 0.33)

0.01

(-0.24, 0.26)

0.36*

(0.01, 0.70)

0.22

(-0.06, 0.51)

Prior doctor’s visit

-0.04

(-0.14, 0.07)

-0.04

(-0.14, 0.07)

-0.04

(-0.19, 0.10)

-0.07

(-0.18, 0.04)

-0.03

(-0.20, 0.13)

-0.03

(-0.20, 0.13)

-0.07

(-0.26, 0.12)

-0.05

(-0.23, 0.13)

Prior ED visit

-0.24*

(-0.41, -0.06)

-0.24*

(-0.41, -0.07)

-0.24*

(-0.49, -0.00)

-0.21*

(-0.40, -0.01)

-0.33*

(-0.60, -0.05)

-0.33*

(-0.60, -0.06)

-0.09*

(-0.43, 0.25)

-0.11

(-0.43, 0.21)

Social Services

Prior receipt of welfare or public assistancea

0.06

(-0.04, 0.15)

0.05

(-0.04, 0.15)

-0.03

(-0.17, 0.11)

-0.02

(-0.13, 0.09)

-0.01

(-0.17, 0.15)

-0.01

(-0.17, 0.14)

0.30*

(0.10, 0.50)

0.27*

(0.08, 0.46)

Prior receipt of disability benefits

-0.13

(-0.32, 0.06)

-0.12

(-0.31, 0.06)

0.09

(-0.21, 0.40)

0.09

(-0.15, 0.32)

-0.21

(-0.46, 0.04)

-0.20

(-0.45, 0.05)

0.03

(-0.41, 0.47)

0.07

(-0.35, 0.49)

Criminal Justice System

Prior arrest

0.02

(-0.10, 0.14)

0.02

(-0.10, 0.14)

-0.06

(-0.26, 0.14)

-0.05

(-0.21, 0.11)

0.03

(-0.16, 0.23)

0.04

(-0.16, 0.23)

0.13

(-0.06, 0.33)

0.12

(-0.06, 0.31)

Time invariant variables (baseline characteristics)

Age

 

0.00

(-0.00, 0.00)

 

-0.00

(-0.01, 0.00)

 

0.01

(-0.00, 0.02)

 

-0.00*

(-0.01, 0.00)

Educational attainment

Less than High School

 

Ref

 

Ref

 

Ref

 

Ref

High School (or GED equivalent)

 

-0.04

(-0.12, 0.04)

 

0.03

(-0.07, 0.13)

 

-0.14

(-0.30, 0.03)

 

-0.00

(-0.16, 0.16)

College or more

 

-0.03

(-0.12, 0.04)

 

0.05

(-0.05, 0.15)

 

-0.19

(-0.04, 0.01)

 

0.02

(-0.15, 0.87)

Marital status

Legally married

 

Ref

 

Ref

 

Ref

 

Ref

Single, never married

 

0.08

(-0.02, 0.18)

 

0.06

(-0.08, 0.20)

 

0.04

(-0.16, 0.24)

 

0.11

(-0.10, 0.32)

Other (divorced, widowed, etc.)

 

0.15*

(0.04, 0.27)

 

0.12

(-0.03, 0.26)

 

0.12

(-0.10, 0.33)

 

0.28*

(0.02, 0.54)

Primary substance that caused most serious problem

Alcohol

 

Ref

 

Ref

 

Ref

 

Ref

Cannabis

 

0.02

(-0.09, 0.13)

 

-0.01

(-0.12, 0.10)

 

-0.06

(-0.32, 0.20)

 

0.27*

(0.01, 0.54)

Cocaine

 

0.19*

(0.08, 0.29)

 

0.22*

(0.11, 0.34)

 

0.17

(-0.06, 0.38)

 

0.29*

(0.02, 0.55)

Opiates

 

0.44*

(0.22, 0.66)

 

0.89*

(0.48, 1.29)

 

0.33

(-0.04, 0.71)

 

0.92*

(0.40, 1.43)

Health insurance status

Not insured

 

Ref

 

Ref

 

Ref

 

Ref

Medicaid

 

0.02

(-0.06, 0.10)

 

0.31

(-0.07, 0.13)

 

0.01

(-16.9, 19.2)

 

-0.08

(-0.26, 0.0)

Other

 

-0.05

(-0.15, 0.05)

 

-0.03

(-0.14, 0.08)

 

-0.11

(-0.17, 0.19)

 

-0.14

(-0.35, 0.06)

Recruitment sites

        

Community

 

Ref

      

Prison

 

0.15*

(0.05, 0.24)

      

Probation

 

0.07

(-0.01, 0.15)

      

Fit indices

        

RMSEA

0.042

0.000

0.026

0.057

0.000

0.026

0.079

0.046

AIC

3375.60

8844.44

735.80

2269.34

1677.40

3638.31

964.97

2408.32

BIC

3741.78

10182.13

992.09

3072.18

1948.93

4488.91

1211.03

3179.15

  1. Notes: a(food stamps, housing assistance, TANF, etc.); RMSEA = Root mean squared error of approximation; AIC = Akaike’s information criterion; BIC = Bayesian information criterion
  2. * significant at p < 0.05