Table 3.
Adjusted logistic regression model assessing the impact of Tele-Harm Reduction for buprenorphine treatment on three-month retention.
| Characteristic | aOR | 95% CI |
|---|---|---|
| Age | 0.99 | 0.95, 1.05 |
| Biological sex | ||
| Male | 2.45 | 0.60, 9.99 |
| Female | Ref | Ref |
| Race/ethnicity | ||
| Non-Hispanic Black | 0.48 | 0.09, 2.47 |
| Hispanic | 0.84 | 0.23, 3.04 |
| Non-Hispanic White | Ref | Ref |
| Insurance status at enrolment | ||
| Uninsured | 0.39 | 0.07, 2.09 |
| Underinsured | 4.71 | 0.37, 59.69 |
| Insured | Ref | Ref |
| Housing status at enrolment | ||
| Unstably Housed (in shelter) | 2.43 | 0.60, 9.83 |
| Rough sleeping (street) | 1.33 | 0.28, 6.34 |
| Stably Housed | Ref | Ref |
| Stimulant use at baseline | ||
| Yes | 0.29 | 0.09, 0.93 |
| No | Ref | Ref |
| Escalated buprenorphine dose post baseline | ||
| Yes | 8.09 | 1.83, 35.87 |
| No | Ref | Ref |
| Saw provider via Telehealth in first three months | ||
| Yes | 7.53 | 2.36, 23.98 |
| No | Ref | Ref |
Note. Bolded represents a p value <.05.