Table 3.
Estimates from Main- and Sensitivity-Analyses of Racial Residential Segregation, Proportional Composition and per Capita Syringe and Naloxone Distribution.
| Syringe Distribution per 100k County Population | Naloxone Distribution per 100k County Population | |||||||
|---|---|---|---|---|---|---|---|---|
| aIRR | 95% Confidence Limits | Pr > |Z| | aIRR | 95% Confidence Limits | Pr > |Z| | |||
| Divergence Index | ||||||||
| Main Analysis | 0.67 | 0.54 | 0.83 | 0.000 | 0.99 | 0.73 | 1.35 | 0.954 |
| Sensitivity Analysis, 25th pctl | 0.66 | 0.54 | 0.81 | <.0001 | 0.95 | 0.71 | 1.27 | 0.745 |
| Dissimiliarty Index NH Black | ||||||||
| Main Analysis | 0.84 | 0.58 | 1.21 | 0.348 | 0.64 | 0.33 | 1.25 | 0.196 |
| Sensitivity Analysis, 25th pctl | 0.82 | 0.58 | 1.16 | 0.268 | 0.63 | 0.35 | 1.12 | 0.116 |
| Dissimiliarty Index Hispanic | ||||||||
| Main Analysis | 0.65 | 0.48 | 0.88 | 0.005 | 0.82 | 0.50 | 1.33 | 0.419 |
| Sensitivity Analysis, 25th pctl | 0.66 | 0.49 | 0.89 | 0.006 | 0.80 | 0.51 | 1.25 | 0.326 |
| % NH Black | ||||||||
| Main Analysis | 0.69 | 0.49 | 0.97 | 0.031 | 1.07 | 0.71 | 1.60 | 0.754 |
| Sensitivity Analysis, 25th pctl | 0.71 | 0.51 | 0.97 | 0.033 | 1.04 | 0.70 | 1.54 | 0.852 |
| % NH Asian | ||||||||
| Main Analysis | 0.89 | 0.79 | 1.01 | 0.066 | 0.92 | 0.81 | 1.05 | 0.204 |
| Sensitivity Analysis, 25th pctl | 0.89 | 0.80 | 0.99 | 0.038 | 0.90 | 0.80 | 1.02 | 0.103 |
| % NH Other | ||||||||
| Main Analysis | 0.86 | 0.65 | 1.13 | 0.284 | 0.60 | 0.49 | 0.74 | <.0001 |
| Sensitivity Analysis, 25th pctl | 0.93 | 0.74 | 1.15 | 0.488 | 0.77 | 0.63 | 0.94 | 0.011 |
| % Hispanic | ||||||||
| Main Analysis | 1.01 | 0.99 | 1.02 | 0.424 | 0.97 | 0.95 | 0.98 | 0.000 |
| Sensitivity Analysis, 25th pctl | 1.00 | 0.99 | 1.02 | 0.641 | 0.97 | 0.95 | 0.98 | <.0001 |
Pctl = percentile; aIRR = adjusted incident rate ratio; LCL=95% lower confidence limit; UCL=95% upper confidence limit; NH = non-Hispanic; Each racial residential segregation measure and the proportional racial composition measure was modeled separately. Each model adjusted for urbanicity, the percent of county residents that voted for the Republican presidential candidate in 2020, and the rate of opioid-related overdose mortality.