TABLE 3–

Standardized Multilevel^a Multivariable Results of Regressing Rates of Black MSM Testing Events (per 10,000) Among Black MSM (Aged 15–64 Years) on Structural Independent Variables^b in 85 Large US Metropolitan Statistical Areas, 2011–2016^c

Variable and Domain	Percent Change in Black MSM Testing Rate (in standard deviation units) Per Standard Deviation Increase in the Independent Variabled (CI)
Need Domain
Black MSM living with HIV per 10,000 Black MSM
Lagged baseline (2010)	31.68 (12.30, 54.40)*
Change since baseline	−2.29 (−10.8, 7.04)
General Resources Domain
Percent Black residents employed
Lagged baseline (2008)	21.46 (7.56, 37.14)*
Change since baseline	6.37 (−1.79, 15.20)
Specialized Resources Domain
Black heterosexual HIV testing rate per 10,000 Black adults
Lagged baseline (2010)	58.71 (27.35, 97.78)*
Change since baseline	8.98 (0.11, 18.63)
Health expenditures per capita ($)
Lagged baseline (2008)	17.73 (−7.08, 49.15)*
Change since baseline	1.60 (−24.44, 36.59)
Liberalism of Public Policies Domain
ACT UP organization presence
Lagged baseline (1990)	21.01 (−11.48, 65.4)*
Syringe service program presence
Lagged baseline (2008)	12.76 (−12.79, 45.79)*
Institutional Opposition Domain
Hard drug arrest rate per 10,000
Lagged baseline (2009)	−19.27 (−30.54, −6.17)*
Change since baseline	−9.50 (−15.49, −2.11)*
Racial Structure Domain
Percent isolated Black residents
Lagged baseline (2008)	1.55 (−13.84, 19.7)
Change since baseline	7.70 (−3.01, 19.59)

^aThree level multilevel model with yearly observations (2011, 2012, 2013, 2014, 2105, 2016) nested within MSA and MSAs nested within state. All models include a linear time function.

^BVariables significant in the final multivariable model shown.

^c2011 to 2016 refers to the timeframe for the HIV diagnoses outcome. Independent variables were lagged 1–3 years using the lag with the strongest association with the outcome. Note: Independent variables were lagged because we did not expect a change in the independent variables to have an instantaneous effect on the outcome.

^dResults of back transformation of standardized models with the natural logged outcome to obtain percent change in the MSM testing rate (in standard deviation units) per 1 standard deviation increase in the independent variable.

^eBinary independent variable.

^*Significant at the a priori cut point. Variables in the multivariable model are substantively significant if the coefficient is |>.10|