Table 3.
Top 10 Interactions in the Random Forest Results.
| Counter-narratives | Trust in provider | Trust in healthcare system | Total trust | ||||
|---|---|---|---|---|---|---|---|
| Interaction | Occurrences | Interaction | Occurrences | Interaction | Occurrences | Interaction | Occurrences |
| Depressive symptoms × Age | 294 | Depressive symptoms × Age | 243 | Depressive symptoms × Age | 289 | Depressive symptoms × Age | 310 |
| Depressive symptoms × Years since HIV diagnosis | 260 | Depressive symptoms × Years since HIV diagnosis | 236 | Depressive symptoms × Extreme poverty | 259 | Depressive symptoms × Years since HIV diagnosis | 279 |
| Age × Depressive symptoms | 252 | Age × Depressive symptoms | 228 | Depressive symptoms × Years since HIV diagnosis | 254 | Depressive symptoms × Extreme poverty | 259 |
| Depressive symptoms × Extreme poverty | 229 | Age × Years since HIV diagnosis | 225 | Depressive symptoms × Sexual orientation | 246 | Depressive symptoms × Homeless | 239 |
| Depressive symptoms × Sexual orientation | 222 | Age × Extreme poverty | 220 | Depressive symptoms × Depressive symptoms | 220 | Depressive symptoms × Sexual orientation | 236 |
| Depressive symptoms × Depressive symptoms | 222 | Extreme poverty × Age | 208 | Extreme poverty × Age | 203 | Age × Depressive symptoms | 228 |
| Age × Extreme poverty | 216 | Age × Age | 206 | Extreme poverty × Depressive symptoms | 200 | Depressive symptoms × Depressive symptoms | 227 |
| Age × Years since HIV diagnosis | 208 | Depressive symptoms × Extreme poverty | 200 | Depressive symptoms × Incarceration | 192 | Extreme poverty × Age | 223 |
| Depressive symptoms × Homeless | 207 | Age × Sexual orientation | 195 | Extreme poverty × Years since HIV diagnosis | 192 | Extreme poverty × Years since HIV diagnosis | 214 |
| Age × Age | 203 | Extreme poverty × Depressive symptoms | 192 | Depressive symptoms × Homeless | 189 | Extreme poverty × Depressive symptoms | 207 |
Note. An interaction between a variable and itself indicates consecutive splits made on that same variable (e.g., a split at age ≥50 followed by a split at age ≥30 within the <50 branch of the regression tree). This also could be thought of as a nonlinear effect of the predictor (e.g., among those <50 the outcome increases with age, but for those ≥50, no change in the outcome is expected with increasing age).