Distance impacts mortality in trauma patients with an intubation attempt.

OBJECTIVE: Out-of-hospital endotracheal intubation (OOH-ETI) has been associated with adverse outcomes; whether transport distance changes this relationship is unclear. We sought to determine whether patients injured farther from the hospital benefit more from OOH-ETI than those injured closer. METHODS: We performed a retrospective cohort analysis of trauma patients > 14 years old transported to two Level 1 trauma centers and surviving to admission from 2000 to 2003. We used probabilistically linked geographic data to calculate transport distance. To adjust for the nonrandom selection of patients for OOH-ETI, we used a propensity score based on clinical variables: prehospital physiology, demographics, transport mode, mechanism, comorbidities, Abbreviated Injury Scale head injury score >or= 3, Injury Severity Score, blood transfusion, and major surgery. Propensity-adjusted multivariable logistic regression with mode of transport was used to test the interaction between distance and OOH-ETI. RESULTS: 8,786 patients were included, 534 with OOH-ETI. Patients with OOH-ETI had higher adjusted mortality (odds ratio [OR] 2.06, 95% confidence interval [CI] 1.33-3.18), and there was a significant interaction between distance and OOH-ETI (p = 0.02). Patients with shortest distances had the highest mortality (OR 3.98, 95% CI 2.08-7.60). Probability of mortality was higher with OOH-ETI across all distances and increased for patients closest to the hospital. Helicopter transport was associated with improved survival. CONCLUSIONS: Prehospital intubation is associated with increased mortality among trauma patients at all distances from the hospital. Patients with the shortest transport distances had the greatest mortality associated with OOH-ETI, whereas helicopter transport was associated with improved survival. The event location and ensuing distance to the hospital are another factor to consider when instituting and modifying OOH airway protocols.

Endotracheal intubation increases out-of-hospital time in trauma patients.

OBJECTIVES: Prior efforts have linked field endotracheal intubation (ETI) with increased out of hospital (OOH) time, but it is not clear if the additional time delay is due to the procedure, patient acuity, or transport distance. We sought to assess the difference in OOH time among trauma patients with and without OOH-ETI after accounting for distance and other clinical variables. METHODS: Retrospective cohort analysis of trauma patients 14 years or older transported by ground or air to one of two Level 1 trauma centers from January 2000 to December 2003. Geographical data were probabilistically linked to trauma registry records for transport distance. Trauma registry OOH time (interval from 9-1-1 call to hospital arrival) was validated against a subset of linked ambulance records using Bland-Altman plots and tested by using the Spearman rank correlation coefficient. Based on the validation, the sample was restricted to patients with OOH time 100 minutes or less. The propensity for OOH-ETI was calculated by using field vital signs, demographics, mechanism, transport mode, comorbidities, Abbreviated Injury Scale head injury 3 or greater, injury severity score, blood transfusion, and major surgery. Multivariable linear regression (outcome = total OOH time) was used to assess the time increase (minutes) associated with OOH-ETI after adjusting for distance, propensity for OOH-ETI, and mode of transport. RESULTS: A total of 8,707 patients were included in the analysis, of which 570 (6.5%) were intubated in the field. Adjusted only for distance, OOH times averaged 6.1 minutes longer (95% CI 4.2-7.9) among patients intubated with RSI. After including other covariates, OOH time was 10.7 minutes (95% CI 7.7-13.8) longer among patients with RSI and 5.2 minutes (95% CI 2.2-8.1) longer among patients with conventional ETI. The time difference was greatest farther from the hospital. CONCLUSIONS: Patients with OOH-ETI have increased total OOH time, especially among those using RSI, even after accounting for distance and other clinical factors. Injured patients may benefit from airway management techniques that require less time for execution.

Investigation of an electronic emergency department information system as a data source for respiratory syndrome surveillance.

Emergency department syndromic surveillance may provide early warning of disease outbreaks due to bioterrorism or natural phenomena. The purpose of this investigation was to explore how an electronic emergency department information system could be used as a data source for respiratory syndrome surveillance. The process of data collection, entry, and transmission is described, and then a subset of data elements with potential epidemiological value is selected. The quality of the data contained in the system was evaluated by conducting a retrospective analysis of emergency department visits recorded in the system during 2001 and by reviewing clinical charts of cases with respiratory diagnoses. Diagnosis codes, discharge disposition, and demographic data were relatively complete; additional clinical data were not. Diagnosis codes were rapidly and reliably recorded. Data available in the system allows a description of emergency department visits for respiratory syndrome in terms of age, gender, location, severity of illness, and distribution in time. Encrypted data were transmitted every four hours to the health department without added work for emergency department personnel. Although significant obstacles remain, electronic emergency department information systems such as this may provide rapid, reliable data for syndromic surveillance.

Security aspects of electronic data interchange between a state health department and a hospital emergency department.

Electronic emergency department reporting provides the potential for enhancing local and state surveillance capabilities for a wide variety of syndromes and reportable conditions. The task of protecting data confidentiality and integrity while developing electronic data interchange between a hospital emergency department and a state public health department proved more complex than expected. This case study reports on the significant challenges that had to be resolved to accomplish this goal; these included application restrictions and incompatibilities, technical malfunctions, changing standards, and insufficient dedicated resources. One of the key administrative challenges was that of coordinating project security with enterprise security. The original project has evolved into an ongoing pilot, with the health department currently receiving secure data from the emergency department at four-hour intervals. Currently, planning is underway to add more emergency departments to the project.

Temporal trends in ambulance diversion in a mid-sized metropolitan area.

OBJECTIVES: To evaluate the amount of ambulance diversion in an emergency medical services (EMS) system and to investigate potential predictive factors. METHODS: Ambulance diversion status of hospitals in the four-county metropolitan Portland, Oregon, area has been recorded for approximately 15 years. These data are used by EMS transporting agencies to determine appropriate hospital destination for their patients. The authors calculated the total yearly hospital ambulance diversion time for "Total Ambulance Divert (TAD)" and "Critical Care Divert (CCD)" for the time period between January 1, 1996, and December 31, 1999. Yearly EMS 9-1-1-generated patient transport volume, hospital emergency department (ED) census volume, total population, amount of health maintenance organization (HMO) penetration, and number of licensed and available hospital beds were calculated for each yearly interval. Kendall's tau-b correlation was used to determine significant secular trends. Potential predictive factors for the amount of ambulance diversion were tested using Pearson's correlation. RESULTS: Total TAD increased 122.5% (p = 0.04), total CCD increased 64.4% (p = 0.50), total EMS transport volume increased 16.1% (p = 0.04), total ED census increased 9.4% (p = 0.04), total licensed beds decreased 5.7% (p = 0.17), total available beds decreased 15.8% (p = 0.17), HMO penetration increased 4.7% (p = 0.04), and total population increased 9.7% (p = 0.04) over the four-year study period. CCD and TAD were not significantly related to each other (p = 0.50). The only significant factor associated with the increase in TAD was number of available beds (p = 0.03). There were no significant factors associated with CCD. CONCLUSION: TAD increased significantly over time and was associated only with the decrease in available hospital beds.