Table 2.
Predictors and Values | Total | In a Hotspot for Poor Viral Suppression |
Not in a Hotspot for Poor Viral Suppression |
Multivariable Regression Model |
|||||
---|---|---|---|---|---|---|---|---|---|
Label | Level | N | % | N | % | N | % | AOR | 95% CI |
Age at diagnosis | < 25 | 99 | 18.82 | 14 | 19.44 | 85 | 18.72 | 1 | |
25–44 | 262 | 49.80 | 31 | 43.06 | 231 | 50.88 | |||
45+ | 165 | 31.36 | 27 | 37.50 | 138 | 30.40 | |||
Sex at Birth | Male | 354 | 67.30 | 39 | 54.17 | 315 | 69.38 | Ref | |
Female | 172 | 32.69 | 33 | 45.83 | 139 | 30.62 | 1.735 | 1.000–3.010 | |
Race | Hispanic | 93 | 17.68 | 20 | 27.78 | 73 | 16.08 | 1 | |
Other/UNK | 20 | 03.80 | 1 | 1.39 | 19 | 4.19 | |||
Black | 308 | 58.55 | 39 | 54.17 | 269 | 59.25 | |||
White | 105 | 19.96 | 12 | 16.67 | 93 | 20.48 | |||
Transmission Risk | MSM | 191 | 36.31 | 23 | 31.94 | 168 | 37.00 | 1 | |
IDU | 45 | 08.55 | 9 | 12.50 | 36 | 7.93 | |||
Heterosexual | 207 | 39.35 | 25 | 34.72 | 182 | 40.09 | |||
Other/NIR | 83 | 15.77 | 15 | 20.83 | 68 | 14.98 | |||
Insurance | Medicaid | 156 | 29.65 | 25 | 34.72 | 131 | 28.85 | 1 | |
Medicare | 45 | 8.55 | 6 | 8.33 | 39 | 8.59 | |||
None | 87 | 16.53 | 5 | 6.94 | 82 | 18.06 | |||
Other/UNK | 121 | 23.00 | 17 | 23.61 | 104 | 22.91 | |||
Private | 117 | 22.24 | 19 | 26.39 | 98 | 21.59 | |||
Economic Deprivation Index | Mean (MED) | 19.33 | (19.64) | (23.49) | (23.69) | (18.57) | (19.63) | 1.086 | 1.048–1.124 |
Pharmacy Density (rate per 1,000 population) | Mean (MED) | 0.35 | (0.24) | 0.32 | (0.29) | 0.33 | (0.24) | 1 | |
Public Transit Route Density (rate per 1,000 population) | Mean (MED) | 5.55 | (4.92) | 4.87 | (4.59) | 5.47 | (4.93) | 1 | |
Distance to Care (in miles) | Mean (MED) | 3.65 | (2.88) | 3.50 | (3.06) | 3.97 | (3.08) | 1 | |
Average Distance to 5 closest pharmacies (in miles) | Mean (MED) | 0.56 | (0.55) | 0.52 | (0.49) | 0.56 | (0.55) | 0.124 | 0.022–0.694 |
Variable was not significant in univariate analysis and was not entered into the regression model for poor retention.
Economic Deprivation was calculated from the American Community Survey data elements of percent employed in low-wage occupation, percent households in poverty, percent households receiving food stamps, percent female-headed households with dependent children, and percent less than high school education.
Distance to care was assessed using the spatial locations of cases and HIV care providers using the street address at time of HIV diagnosis and the address of the medical care sites where initial linkage to care.