Association of out-of-hospital criteria with need for hospital admission.
Publication/Presentation Date
10-1-1995
Abstract
OBJECTIVE: To validate high-risk historical and physiologic out-of-hospital criteria as predictors of the need for hospitalization following ED evaluation.
METHODS: Consecutive patients entered into the Suffolk County advanced life support system were enrolled. Previously proposed historical and physiologic "high-risk" criteria for hospitalization were prospectively collected. Criteria were associated with the need for hospital admission following ED evaluation.
RESULTS: 1,238 patients were enrolled; 391 were released from an ED after transport. Most patients (843/1,238; 68%) were admitted to a hospital; and four died in the ED. Factors associated with an increased likelihood of admission or death among the transported patients were: bradycardia (90% admitted, p < 0.02); hypotension (80%, p < 0.03); hypertension (89%, p < 0.03); and age > 55 years (81%, p < 0.0001). Unresponsiveness and other abnormal vital signs were not associated with admission on univariate analysis. Logistic regression analysis identified two other factors associated with admission or death: tachycardia (72% admitted, p < 0.01) and head injury (78% admitted, p < 0.001).
CONCLUSIONS: Abnormal pulse or blood pressure, head injury, and age > 55 years are associated with patients' requiring hospital admission after accessing the emergency medical services system. These criteria may aid the design of out-of-hospital refusal-of-care policies.
Volume
2
Issue
10
First Page
863
Last Page
866
ISSN
1069-6563
Published In/Presented At
Burstein, J. L., Hollander, J. E., Henry, M. C., Delagi, R., & Thode, H. C., Jr (1995). Association of out-of-hospital criteria with need for hospital admission. Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2(10), 863–866. https://doi.org/10.1111/j.1553-2712.1995.tb03098.x
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
8542484
Department(s)
Administration and Leadership
Document Type
Article