Table 1.
Participant characteristics.
| Total sample (N = 197) | Presentation (n = 97) | Presentation + mastery (n = 100) | χ2/U/t-value (p-value) | |
|---|---|---|---|---|
| Demographics | ||||
| Age M (SD) | 33.2 (11.4) | 32.7 (11.1) | 33.7 (11.6) | 0.63 (0.53) |
| Female (%) | 45.2 | 39.2 | 51.0 | 2.78 (0.10) |
| Median household income | $52,500 | $52,500 | $38,500 | 4,544 (0.45) |
| Opioid characteristics (%) | ||||
| Misused prescription opioid in previous year | 39.1 | 34.0 | 44.0 | 2.01 (0.15) |
| Overdosed on opioids ≥1 | 19.5 | 24.7 | 13.2 | 3.57 (0.06) |
| Heard of naloxone | 68.5 | 60.9 | 77.6 | 5.42 (0.02) |
| Received naloxone prescription | 5.4 | 6.5 | 3.9 | 0.55 (0.46) |
| Trained to administer naloxone | 7.1 | 10.9 | 2.6 | 4.26 (0.04) |
| Trained to administer CPR | 64.9 | 66.3 | 63.2 | 0.18 (0.67) |
Comparisons based upon independent group t-tests for continuous and chi-squares for dichotomous variables. Participants were recruited via Amazon Mechanical Turk from May to June 2017.
significant differences in bold