Table 4.
Backwards Logistic Regression Analyses for Selected Variables Associated With Early Hospital Arrival and Treatment
Variable | P¹ | ODT <90 minutes | P² | OTT <2 hours |
---|---|---|---|---|
Age | — | — | 0.083 | 1.027 (0.996–1.059) |
Onset‐to‐call time | <0.001 | 0.999 (0.998–0.999) | <0.001 | 0.999 (0.999–0.999) |
Call duration | 0.09 | 0.991 (0.996–1.001) | — | — |
New call suggested by the dispatcher | — | — | 0.037 | 2.235 (1.050–4.760) |
Call‐to‐dispatch time | 0.139 | 0.997 (0.992–1.001) | 0.133 | 0.998 (0.995–1.001) |
Dispatch‐to‐scene time | 0.001 | 0.997 (0.996–0.999) | 0.08 | 0.999 (0.998–1.000) |
On‐scene time | 0.001 | 0.999 (0.998–0.999) | 0.09 | 0.999 (0.998–1.000) |
Dispatch using high priority | 0.048 | 5.259 (1.017–27.195) | — | — |
Arm weakness | — | — | 0.079 | 2.114 (0.918–4.869) |
Transport using high priority | <0.001 | 0.084 (0.023–0.310) | 0.02 | 0.114 (0.028–0.462) |
Both regression models presented using P values and odds ratios (95% CI). All odds ratios for time intervals are based on change per minute. P¹=P value for ODT <90 minutes, P²=P value for OTT <2 hours. — indicates variable not included in the final model; ODT, onset‐to‐door time; OTT, onset‐to‐treatment time.