Note. NIC = not in care; SE = standard error; OBGYN = obstetrics/gynecology; STD = sexually transmitted disease; AIC = Akaike information criterion; BIC = Bayesian information criterion.

Supplemental Digital Content 1 Table 1

Model Selection, Newly Diagnosed and NIC Participants

Model 1: Preferred

Model Model 2 Model 3

β SE β SE β SE

Time < -2.5*** < 0.72 < -2.2*** < 0.74 < -0.94*** < 1.6 Intervention Effect 0.45*** 0.12 0.45*** 0.12 0.49*** 0.12 Race (Reference = Black/ African American)

White 0.18 0.16

Other 0.21 0.43

Ethnicity

Hispanic or Latino -0.51 0.52

Sex (Reference = Male)

Female 0.07 0.15

Transgender 0.33 0.47

Age

Age at HIV diagnosis -0.01 0.01

Location of HIV Diagnosis (Reference = Outpatient facility/clinic)

Blood bank -0.32 0.37

Family Planning/OBGYN Clinic -1.18 1.02

HIV clinic/counseling and testing

Site -0.25 0.22

Emergency room -0.16 0.22

Corrections facility -0.06 0.29

Drug treatment center 0.28 0.76

Inpatient facility/hospital -0.14 0.22

Unknown (out-of-state) 0.13 0.2

Infectious disease/STD clinic 0.09 0.21

Other 0.12 0.74

Percent of Individuals in Zip Code

Living in poverty 0.01 0.01

Without health insurance -0.02 0.02

Unemployed -0.09~ 0.04

With at least a high school

education -0.01 0.01

Who take public transportation to

work -0.01 0.03

Who walk to work 0.00 0.01

Public Health Regions (Reference = Region 1)

2 0.05 0.17

7 -0.38~ 0.21

Goodness of Fit

AIC 2,576.4 2,582.9 2,589.8

BIC 2,722.0 2,770.1 2,860.2

Likelihood-Ratio Test

Intervention vs. Constant 14.60***

Intervention vs. Covariates 5.51

Intervention vs. Regional 22.64

Note. NIC = not in care; SE = standard error; OBGYN = obstetrics/gynecology; STD = sexually transmitted disease; AIC = Akaike information criterion; BIC = Bayesian information criterion.

*** p < 0.001

Supplemental Digital Content 2 Table 2

Model Selection, Previously Diagnosed and NIC Participants

Model 1 Model 2 Model 3:

Preferred Model

β SE β SE β SE

Time^a < -2.02*** < 0.72 < -1.82*** < 0.72 < -1.86*** < 0.72 Intervention Effect 0.17*** 0.04 0.17*** 0.04 0.16*** 0.04 Race (Reference = Black/ African American)

White 0.13* 0.06

Other 0 0.18

Ethnicity

Hispanic or Latino -0.32 0.23

Sex (Reference = Male)

Female 0.07 0.05

Transgender

0.15 0.19

Age^b

Age at study entry 0.01** 0

Age at HIV diagnosis -0.02*** 0

Location of HIV Diagnosis (Reference = Outpatient facility/hospital)

Blood bank -0.17 0.16 -0.18 0.16

Family planning/ OBGYN clinic 0.07 0.23 -0.02 0.23

HIV clinic/counseling and

testing Site -0.14 0.10 -0.12 0.10

Emergency room -0.16 0.12 -0.07 0.12

Corrections facility -0.36** 0.11 -0.35** 0.11

Drug treatment center -0.63 0.46 -0.70 0.46

Inpatient facility/hospital -0.06 0.06 -0.08 0.06

Unknown (out-of-state) -0.54*** 0.07 -0.57*** 0.07

Infectious disease/ STD clinic -0.09 0.06 -0.12~ 0.06

Other -0.22 0.27 -0.26 0.27

Percent of Individuals in Zip Code^c

Living in poverty 0 0 0 0

Without health insurance 0 0.01 0 0.01

Unemployed -0.01 0.01 -0.01 0.02

With at least a high school

education 0 0 0 0

Who take public transportation

to work 0 0.01 0 0.01

Who walk to work 0 0 0 0

Public Health Regions (Reference = Region 1)

2 -0.09 0.06 -0.09 0.06

7 -0.14~ 0.08 -0.14~ 0.08

Note. NIC = not in care; SE = standard error; OB/GYN = obstetrics/gynecology; STD = sexually transmitted disease; AIC = Akaike information criterion; BIC = Bayesian information criterion.

*** p <0 .001, ** p < 0.01, * p < 0.05, ~ p < 0.10

a. For the sake of parsimony, we present the range of coefficient and standard error values rather than findings for each discrete-time variable.

b. Age at diagnosis and age at study entry variables were mean centered prior to inclusion in Model 3.

c. For each variable related to the percentage of individuals living in each zip code, we

use the mean-centered value in Models 2 and 3.