Table 4.
Linear regression between log transform of wait time or length of visit and by race/ethnicity, NHAMCS 2005–2016.
| Wait time | Length of visit | |||
|---|---|---|---|---|
| Beta (95% CI) | p-value | Beta (95% CI) | p-value | |
| White | (1) | (1) | ||
| Black | 0.27 (0.25–0.28) | <0.0001 | 0.18 (0.17–0.19) | <0.0001 |
| Hispanic | 0.13 (0.11–0.15) | <0.0001 | 0.21 (0.20–0.22) | <0.0001 |
| Asian | 0.06 (0.02–0.09) | 0.001 | 0.13 (0.11–0.16) | <0.0001 |
| Other | 0.08 (0.03–0.13) | 0.002 | −0.01 (−0.04–0.02) | 0.45 |
The model was adjusted for the following factors: demographics (gender, age group), socioeconomic (residence type, insurance type, census region), visiting and clinical (year, week of day, arrive by ambulance, seen within last 72 h, pain level, temperature, heart rate, dialytic blood pressure), and ESI score.