Ross J. Fleischman

The Cost Of Overtriage: More Than One-Third Of Low-Risk Injured Patients Were Taken To Major Trauma Centers

Regionalized trauma care has been widely implemented in the United States, with field triage by emergency medical services (EMS) playing an important role in identifying seriously injured patients for transport to major trauma centers. In this study we estimated hospital-level differences in the adjusted cost of acute care for injured patients transported by 94 EMS agencies to 122 hospitals in 7 regions, overall and by injury severity. Among 301,214 patients, the average adjusted per episode cost of care was

Validation of length of hospital stay as a surrogate measure for injury severity and resource use among injury survivors.

5,590 higher in a level 1 trauma center than in a nontrauma hospital. We found hospital-level differences in cost among patients with minor, moderate, and serious injuries. Of the 248,342 low-risk patients-those who did not meet field triage guidelines for transport to trauma centers-85,155 (34.3 percent) were still transported to major trauma centers, accounting for up to 40 percent of acute injury costs. Adhering to field triage guidelines that minimize the overtriage of low-risk injured patients to major trauma centers could save up to

The Optimum Follow-Up Period for Assessing Mortality Outcomes in Injured Older Adults

136.7 million annually in the seven regions we studied.

Effectiveness and safety of fentanyl compared with morphine for out-of-hospital analgesia.

OBJECTIVES While hospital length of stay (LOS) has been used as a surrogate injury outcome when more detailed outcomes are unavailable, it has not been validated. This project sought to validate LOS as a proxy measure of injury severity and resource use in heterogeneous injury populations. METHODS This observational study used four retrospective cohorts: patients presenting to 339 California emergency departments (EDs) with a primary International Classification of Diseases, Ninth Revision (ICD-9), injury diagnosis (years 2005-2006); California hospital injury admissions (a subset of the ED population); trauma patients presenting to 48 Oregon EDs (years 1998-2003); and injured Medicare patients admitted to 171 Oregon and Washington hospitals (years 2001-2002). In-hospital deaths were excluded, as they represent adverse outcomes regardless of LOS. Duration of hospital stay was defined as the number of days from ED admission to hospital discharge. The primary composite outcome (dichotomous) was serious injury (Injury Severity Score [ISS] >or= 16 or ICD-9 ISS <or= 0.90) or resource use (major surgery, blood transfusion, or prolonged ventilation). The discriminatory accuracy of LOS for identifying the composite outcome was evaluated using receiver operating characteristic (ROC) analysis. Analyses were also stratified by age (0-14, 15-64, and >or=65 years), hospital type, and hospital annual admission volume. RESULTS The four cohorts included 3,989,409 California ED injury visits (including admissions), 236,639 California injury admissions, 23,817 Oregon trauma patients, and 30,804 Medicare injury admissions. Composite outcome rates for the four cohorts were 2.1%, 29%, 27%, and 22%, respectively. Areas under the ROC curves for overall LOS were 0.88 (California ED), 0.74 (California admissions), 0.82 (Oregon trauma patients), and 0.68 (Medicare patients). In general, the discriminatory value of LOS was highest among children, tertiary trauma centers, and higher volume hospitals, although this finding differed by the injury population and outcome assessed. CONCLUSIONS Hospital LOS may be a reasonable proxy for serious injury and resource use among injury survivors when more detailed outcomes are unavailable, although the discriminatory value differs by age and the injury population being studied.

Pediatric Educational Needs Assessment for Urban and Rural Emergency Medical Technicians

OBJECTIVES: To compare mortality rates of hospitalized injured aged 67 and older across commonly used follow‐up periods (e.g., in‐hospital, 30‐day, 1‐year) and to determine the postinjury time after which mortality rates stabilize.

Trauma in the Neighborhood: A Geospatial Analysis and Assessment of Social Determinants of Major Injury in North America

Abstract Background. Fentanyl has several potential advantages for out-of-hospital analgesia, including rapid onset, short duration, and less histamine release. Objective. To compare the effectiveness and safety of fentanyl with that of morphine. Methods. This was a retrospective before-and-after study of a protocol change from morphine to fentanyl in an advanced life support emergency medical services system in January 2007. Charts from nine months prior to the change and for nine months afterward were abstracted by two reviewers using a standardized instrument. The first three months after the change were excluded. Effectiveness was measured by change in pain scores on a 0–10 scale. A priori–defined adverse events included out-of-hospital events: respiratory rate <12 breaths/min, pulse oximetry <92%%, systolic blood pressure <90 mmHg, any fall in Glasgow Coma Scale score, nausea or vomiting, intubation, and use of antiemetic agents or naloxone. Emergency department charts were reviewed for initial pain scores and the same adverse events during the first two hours. Events clearly not attributable to the opioid were discounted. The changes in pain scores were also compared adjusting for confounders by multivariable linear regression. Results. Three hundred fifty-five patients aged 13 to 99 years received morphine during the nine months before the protocol change and 363 received fentanyl following the washout period. Initial pain scores for morphine (8.1) and fentanyl (8.3) were comparable (95%% confidence interval [CI] for difference –1.1 to 0.3). Fentanyl patients received a higher equivalent dose of opioid (7.7 mg morphine equivalents for morphine, 9.2 mg for fentanyl, CI for the difference 0.9 to 2.3). The mean decreases in pain score were similar between the drugs (2.9 for morphine, 3.1 for fentanyl, CI for the difference –0.3 to 0.7). With regard to adverse events, 9.9%% of the morphine patients and 6.6%% of the fentanyl patients experienced an adverse event in the field (CI for the difference –0.8 to 7.3%%). The most common event was nausea, with a rate of 7.0%% for morphine vs. 3.8%% for fentanyl (CI for the difference –0.1%% to 6.5%%). Conclusion. Morphine and fentanyl provide similar degrees of out-of-hospital analgesia, although this was achieved with a higher dose of fentanyl. Both medications had low rates of adverse events, which were easily controlled.

Predicting Ambulance Time of Arrival to the Emergency Department Using Global Positioning System and Google Maps

Objective The objective of the study was to identify past experiences, present needs, barriers, and desired methods of training for urban and rural emergency medical technicians. Methods This 62-question pilot-tested written survey was administered at the 2008 Oregon EMS and 2009 EMS for Children conferences. Respondents were compared with registration lists and the state emergency medical services (EMS) database to assess for nonresponder bias. Agencies more than 10 miles from a population of 40,000 were defined as rural. Results Two hundred nineteen (70%) of 313 EMS personnel returned the surveys. Respondents were 3% first responders, 27% emergency medical technician basics, 20% intermediates, and 47% paramedics. Sixty-eight percent were rural, and 32% were urban. Sixty-eight percent reported fewer than 10% pediatric transports. Overall, respondents rated their comfort caring for pediatric patients as 3.1 on a 5-point Likert scale (95% confidence interval, 3.1–3.2). Seventy-two percent reported a mean rating of less than “comfortable” (4 on the scale) across 17 topics in pediatric care, which did not differ by certification level. Seven percent reported no pediatric training in the last 2 years, and 76% desired more. The “quality of available trainings” was ranked as the most important barrier to training; 26% of rural versus 7% of urban EMS personnel ranked distance as the most significant barrier (P < 0.01). Fifty-one percent identified highly realistic simulations as the method that helped them learn best. In the past 2 years, 19% had trained on a highly realistic pediatric simulator. One to 3 hours was the preferred duration for trainings. Conclusions Except for distance as a barrier, there were no significant differences between urban and rural responses. Both urban and rural providers desire resources, in particular, highly realistic simulation, to address the infrequency of pediatric transports and limited training.

Evaluation of a novel pediatric appendicitis pathway using high- and low-risk scoring systems.

OBJECTIVES We sought to identify and characterize areas with high rates of major trauma events in 9 diverse cities and counties in the United States and Canada. METHODS We analyzed a prospective, population-based cohort of injured individuals evaluated by 163 emergency medical service agencies transporting patients to 177 hospitals across the study sites between December 2005 and April 2007. Locations of injuries were geocoded, aggregated by census tract, assessed for geospatial clustering, and matched to sociodemographic measures. Negative binomial models were used to evaluate population measures. RESULTS Emergency personnel evaluated 8786 major trauma patients, and data on 7326 of these patients were available for analysis. We identified 529 (13.7%) census tracts with a higher than expected incidence of major trauma events. In multivariable models, trauma events were associated with higher unemployment rates, larger percentages of non-White residents, smaller percentages of foreign-born residents, lower educational levels, smaller household sizes, younger age, and lower income levels. CONCLUSIONS Major trauma events tend to cluster in census tracts with distinct population characteristics, suggesting that social and contextual factors may play a role in the occurrence of significant injury events.

The trade-offs in field trauma triage: a multiregion assessment of accuracy metrics and volume shifts associated with different triage strategies.

Abstract Objective. To derive and validate a model that accurately predicts ambulance arrival time that could be implemented as a Google Maps web application. Methods. This was a retrospective study of all scene transports in Multnomah County, Oregon, from January 1 through December 31, 2008. Scene and destination hospital addresses were converted to coordinates. ArcGIS Network Analyst was used to estimate transport times based on street network speed limits. We then created a linear regression model to improve the accuracy of these street network estimates using weather, patient characteristics, use of lights and sirens, daylight, and rush-hour intervals. The model was derived from a 50% sample and validated on the remainder. Significance of the covariates was determined by p < 0.05 for a t-test of the model coefficients. Accuracy was quantified by the proportion of estimates that were within 5 minutes of the actual transport times recorded by computer-aided dispatch. We then built a Google Maps-based web application to demonstrate application in real-world EMS operations. Results. There were 48,308 included transports. Street network estimates of transport time were accurate within 5 minutes of actual transport time less than 16% of the time. Actual transport times were longer during daylight and rush-hour intervals and shorter with use of lights and sirens. Age under 18 years, gender, wet weather, and trauma system entry were not significant predictors of transport time. Our model predicted arrival time within 5 minutes 73% of the time. For lights and sirens transports, accuracy was within 5 minutes 77% of the time. Accuracy was identical in the validation dataset. Lights and sirens saved an average of 3.1 minutes for transports under 8.8 minutes, and 5.3 minutes for longer transports. Conclusions. An estimate of transport time based only on a street network significantly underestimated transport times. A simple model incorporating few variables can predict ambulance time of arrival to the emergency department with good accuracy. This model could be linked to global positioning system data and an automated Google Maps web application to optimize emergency department resource use. Use of lights and sirens had a significant effect on transport times. Key words: emergency medical services; prehospital emergency care.

Patients' perspectives of enrollment in research without consent: the patients' experiences in emergency research-progesterone for the treatment of traumatic brain injury study.

Objectives This study aimed to determine the test characteristics of a pathway for pediatric appendicitis and its effects on emergency department (ED) length of stay, imaging, and admissions. Methods Children age 3 to 18 years with suspicion for appendicitis at 1 tertiary care ED were prospectively enrolled, using validated low- and high-risk scoring systems incorporating history, physical examination, and white blood cell count. Low-risk patients were discharged or observed in the ED. High-risk patients were admitted. Those meeting neither low-risk nor high-risk criteria were evaluated by surgery, with imaging at their discretion. Chart review or telephone follow-up was conducted 2 weeks after the visit. A retrospective study before and after was also performed. Charts of a random sample of patients evaluated for appendicitis in the 8 months before and after the pathway implementation were reviewed. Results Appendicitis was diagnosed in 65 of 178 patients. Of those with appendicitis, 63 were not low-risk (sensitivity, 96.9%; specificity, 40.7%). The high-risk criteria had a sensitivity of 75.3% and specificity of 75.2%. We reviewed 292 visits before and 290 after the pathway implementation. Emergency department length of stay was similar (253 minutes before vs 257 minutes after, P = 0.77). Computed tomography was used in 12.7% of visits before and 6.9% of visits after (P = 0.02). Use of ultrasound was not significantly different (47.3% vs 53.7%). Admission rates were not significantly different (45.5% vs 42.7%). Conclusions The low-risk criteria had good sensitivity in ruling out appendicitis. The high-risk criteria could be used to guide referral or admission. Neither outperformed the a priori judgment of experienced providers.