Factors Influencing the Timeliness of Emergency Medical Service Response to Time Critical Emergencies

Objective: While emergency medical service (EMS) response times (ERT) remain a leading measure of system performance in many developed countries, relatively few studies have explored the factors associated with meeting benchmark performance for potentially time critical incidents. The purpose of this study was to identify system-level and patient-level factors associated with ERT, which are readily available at the time of ambulance dispatch. Methods: Between July 2009 and June 2014, we included data from 1,000,458 EMS responses to time critical “lights and sirens” incidents in Melbourne, Australia. The primary outcome measure was ERT, defined as the time from emergency call to the arrival of the first EMS team on scene. Quantile regression models were used to identify system-level and patient-level factors associated with 10-percentile intervals of ERT. Results: The median ERT was 10.6 minutes (IQR: 8.1–14.0), increasing from 9.6 minutes (IQR: 7.6–12.5) in 2009/10 to 11.0 minutes (IQR: 8.4–14.7) in 2013/14 (p < 0.001). System-level factors independently associated with the 90th percentile ERT were distance to scene, activation time, turnout time, case upgrade, hour of day, day of week, workload in the previous hour, ambulance skill set, priority zero case (e.g., suspected cardiac or respiratory arrest), and average hospital delay time in the previous hour. Patient-level factors such as age, gender, chief medical complaint, and severity of complaint were also significantly associated with ERT. Conclusions: System-level and patient-level factors available at the time of ambulance dispatch are useful predictors of ERT performance, which could be used to improve the timeliness of EMS response.     

Emergency Medical Services Education in Emergency Medicine Residency Programs: A National Survey

Objectives: Emergency medical services (EMS) was recently approved as a subspecialty by the American Board of Medical Specialties, highlighting the core content of knowledge that encompasses prehospital emergency patient care. This study aimed to describe the current state of EMS education at emergency medicine (EM) residency programs in the United States. Methods: The authors distributed an online survey containing multiple‐choice and free‐response questions pertaining to resident EMS education to the directors of EM residency programs in the United States between July 21 and September 10, 2010. Results: Of 154 programs, 117 (75%) responded to the survey, and 108 (70%) completed the survey by answering all required questions. Of completed surveys, 82 programs (76%) reported the cumulative time devoted to EMS didactic education during the course of residency training, a median of 20 hours (range = 3 to 300 hours; interquartile range [IQR] = 12 to 36 hours). There is a designated EMS rotation in 89% of programs, with a median duration of 3 weeks (range = 1 to 9 weeks; IQR = 2 to 4 weeks). Most programs involve residents on EMS rotations strictly as in‐field observers (63%), some as in‐field providers (20%), and the rest with some combination of the two roles. Ground ride‐along is required in 94% of programs, while air ride‐along is mandatory in 4% and optional in 81% of programs. Direct medical oversight (DMO) certification is required in 41% of residency programs, but not available in 26% of program jurisdictions. Residents in 92% of programs provide DMO. In those programs, most residents (77%) provide DMO primarily while working in the emergency department (ED), 13% during dedicated EMS or medical oversight shifts, and 4% during a combination of these shifts. Disaster‐preparedness was most frequently listed as the component programs would like to add to their EMS curricula. Conclusions: There is a wide range in the didactic, online, and in‐field EMS educational experiences provided as part of EM training. Most residents participate in ground ride‐along activities, provide DMO, and have a dedicated EMS rotation. Disaster‐preparedness is the most common desired addition to existing EMS rotations. ACADEMIC EMERGENCY MEDICINE 2012; 19:1–6 © 2012 by the Society for Academic Emergency Medicine     

Predictors of Emergency Medical Services Utilization by Elders

OBJECTIVE: Elders (age > or = 65 years) frequently use emergency medical services (EMS) for care. Understanding reasons for EMS use by elders may allow better management of EMS demand. To the best of the authors' knowledge, no studies have identified patient characteristics associated with EMS use by elders. This study aimed to identify patient attributes associated with elder EMS users. METHODS: This was a prospective cohort study of non-institutionalized elders presenting to an urban university hospital emergency department. Nine hundred thirty elder patients completed the survey. The authors asked patients about access to care, health beliefs, and reasons for requesting EMS assistance. Univariate and logistic regression were used to identify predictors of EMS use. RESULTS: The sample had a mean age of 76 years; 37% were male; 79% were African American. Thirty percent arrived via EMS. Sixty-five percent of those transported and 46% of those not transported by EMS were admitted to the hospital (p < 0.001). Reported reasons for using EMS transport included immobility (33%), illness (22%), request by others (21%), instruction from health care providers (10%), and lack of transportation (10%). Logistic regression identified symptom onset within four hours of seeking care (OR = 3.1), age > or = 85 years (OR = 1.63), increased deficiencies in activities of daily living (OR = 1.40 per deficiency), worse physical functioning (OR = 1.14/10 points), and worse social functioning (OR = 1.06/10 points) as factors associated with EMS use. CONCLUSIONS: Elders report using EMS because of immobility, perceived medical needs, or requests by others. Similarly, the presence of acute illness symptoms, older age, and poor social and physical function, rather than health beliefs, predict EMS use among elders. These factors must be considered when managing the demand for EMS services.