Table 5.
Re-triage status |
Re-triage status × Trauma Funding Status Interaction Term p-value | |||||
---|---|---|---|---|---|---|
Field Triage; Appropriatea | Field Triage; Under-Triageb | Optimal Re-triagec | Sub-optimal Re-triaged | All Patients | ||
| ||||||
Odds Ratio (CI)e | Odds Ratio (CI)e | Odds Ratio (CI)e | Odds Ratio (CI)e | Odds Ratio (CI)e | ||
| ||||||
Trauma Funding Status f | 0.0374 | |||||
Without Trauma Funding | Reference | Reference | Reference | Reference | Reference | |
With Trauma Funding | 0.98 (0.82–1.17) | 0.90 (0.77–1.05) | 0.70 (0.53–0.92) | 0.46 (0.23–0.89) | 0.73 (0.60–0.89) |
Patients presenting to an emergency department at or directly admitted to a Level I or II trauma center, with no subsequent transfer, were defined as Appropriate Triage on the field.
Patients presenting to an emergency department at or directly admitted to a Level III, IV, or non-trauma center, with no subsequent transfer, were defined as Under-Triage on the field.
Patients emergently transferred from any emergency department to a Level I or II trauma center were defined as Optimal Re-Triage.
Patients emergently transferred from any emergency department to a Level III, IV, or non-trauma center were defined as Sub-optimal Re-Triage.
Values were obtained from a hierarchical logistic regression model with in-hospital mortality as the outcome. Age, sex, race, primary payer, Injury Severity Score, Elixhauser Comorbidity Index, hospital bed size, hospital medical school affiliation, trauma funding status, re-triage status, and a re-triage status by funding status interaction term are included as fixed effects. An intercept defined by hospital ID was used as the sole random effect.
Trauma Funding Status was determined by the absence ($0.00) or presence (>$0.00) of per capita state trauma funding in the state that the patient was hospitalized in.