Increasing paramedics' comfort and knowledge about children with special health care needs.

This study evaluated a continuing education program for paramedics about children with special health care needs (CSHCN). Pretraining, posttraining, and follow-up surveys containing two scales (comfort with CSHCN management skills and comfort with Pediatric Advanced Life Support [PALS] skills) were administered. Objective measures of knowledge were obtained from pre- and posttraining tests. Differences in average scores were assessed using t-tests. Response rates for paramedics completing the program ranged from 94% for the posttraining survey, 81% for the initial comfort survey, 56% for the knowledge pretest, and 56% for the follow-up survey. PALS comfort scores were significantly higher than CSHCN comfort scores both before and after training, both P < .01. Posttraining surveys showed an increase in CSHCN comfort, P < .01. The follow-up surveys showed a significant decline in CSHCN comfort, P = .05. Scores on the tests showed a similar pattern, with a significant increase in knowledge from pre- to posttraining (P = .02) and a significant decrease in knowledge from posttraining to follow-up (P < .01). Comfort was significantly higher for standard pediatric skills than for specialized management skills. Completion of the self-study program was associated with an increase in comfort and knowledge, but there was some decay over time.

Use of emergency medical services by children with special health care needs.

OBJECTIVE: This study describes emergency medical services (EMS) responses for children with special health care needs (CSHCN) in an urban area over a one-year period. METHODS: A prospective surveillance system was established to identify EMS responses for children, 21 years of age or younger, with a congenital or acquired condition or a chronic physical or mental illness. Responses related to the special health care needs of the child were compared with unrelated responses. RESULTS: During a one-year period, 924 responses were identified. Fewer than half of the responses were related to the child's special health care need. Younger children were significantly more likely to have a response related to their special needs than older children. Among related responses, seizure disorder was the most common diagnosis, while asthma was more common for unrelated responses. Almost 58% of the responses resulted in transport of the child to a hospital. CONCLUSIONS: Emergency medical services responses related to a child's special health care needs differ from unrelated responses. The most common special health care needs of children did not require treatment beyond the prehospital care provider's usual standard of care. These results are relevant for communities providing EMS services for CSHCN.

Emergency medical service agency definitions of response intervals.

STUDY OBJECTIVE: There is a time continuum from emergency medical services (EMS) dispatch, response, scene, transport, and arrival at the hospital. Previous research has documented favorable patient outcome with short response intervals; however, these studies revealed the documentation of EMS time intervals is not always consistent. This study evaluates how agencies estimate these times and factors that may affect the length of response intervals. METHODS: The study used a mail questionnaire to assess factors related to response intervals and to determine how agencies define and record response intervals. All ground-based EMS agencies in a southwestern state were invited to participate in the survey. Univariate and stratified data analyses compared definitions of response intervals. RESULTS: Agencies varied as to how they defined the start and end of the response. Fifty-six percent stated that their response started when the responding unit was notified of the call. However, almost 23% defined response interval as starting when dispatch received the call, and 11% defined it as starting with the initial 911 call. A factor that affected response intervals was routing of the 911 call. Less than 6% of agencies had only 1-call routing. CONCLUSION: Agencies use different time points as the start and end of their response interval, which makes comparison of results directly related to response intervals across agencies or regions difficult. To maintain an appropriate standard of prehospital emergency medical care throughout the state, the use of consistent standard terminology defining response intervals will help reach that goal.

Development of an electronic emergency medical services patient care record.

OBJECTIVE: The need for valid and reliable emergency medical services (EMS) data has long been recognized. EMS data are useful for monitoring resources and operations, documenting patient care and outcome, and evaluating injury prevention strategies. The goal of this project was to develop a computerized data set with the capability to generate a patient care record (PCR) to overcome some of the current EMS data limitations. METHODS: The authors discuss developing an electronic PCR and analysis data set containing 233 variables. Data are collected for the following: incident, response, scene, patient, history, primary survey (including vital signs), physical examination, physiologic scores, diagnostics, plan (medications and procedures), assessment, and reevaluation. Software on a portable computer installed in an EMS response unit utilizes a graphical user interface for data collection by prehospital emergency care providers. A data set stores codes corresponding to user's selections. This data set supports data storage and analysis. The electronic PCR and data set can be useful to EMS agencies for collecting, storing, reporting, and analyzing information. RESULTS: Variables are categorized into 12 main categories to categorize the variables and to drive data collection. The system provides the user with the ability to print out a record (using a portable printer installed in an ambulance) and analyze data stored in the data set. CONCLUSION: This computerized approach overcomes many limitations inherent with using paper-based systems for research. Linked with emergency department, hospital discharge, and mortality data, EMS data can be used in systems analyses related to patient outcome.

Prehospital advanced life support for major trauma: critical need for clinical trials.

A widely diverse body of information exists on the use of Advanced Life Support procedures by prehospital personnel. We compared and contrasted the literature that currently exists on this topic. We examined methodologies, results, and conclusions for each article. We also stress the need for critical clinical evaluations in this arena.

Developing a foundation for the evaluation of expanded-scope EMS: a window of opportunity that cannot be ignored.

EMS systems are about to undergo a major transformation. Not only will the scope of EMS change, but many experts believe that it will dramatically expand. Some see the "expanded scope" as entailing relatively limited changes, whereas others consider them to be more broad. Although no agreement is evident about the definition for expanded-scope EMS, it is hoped that all EMS professionals can agree that it must be implemented in a manner that can be carefully evaluated to determine its effects on patients and EMS systems. We present a framework for evaluating the effect of expanded-scope EMS in the various types of systems that currently exist. Special consideration must be given to the indirect effects that system changes may have on survival from out-of-hospital cardiac arrest. Numerous issues will affect our ability to properly assess expanded-scope EMS. The basic research models necessary to assess the impact of system change are lacking. Few EMS systems consistently produce significant volumes of good systems research ... that is, there are few "EMS laboratories." Cost-effectiveness and issues surrounding the "societal value" of EMS remain essentially unstudied. Reliable scoring methods, severity scales, and outcome measures are lacking: and, it is ethically and logistically difficult to justify withholding the "standard of care" in an effort to understand the impact of EMS interventions. Despite all of these barriers, it is time to pay the price of doing methodologically sound evaluations that ensure the most optimal societal impact by the EMS systems of the future.

Observational evaluation of compliance with traffic regulations among helmeted and nonhelmeted bicyclists.

STUDY OBJECTIVE: To evaluate whether helmeted bicyclists are more compliant with traffic regulations than nonhelmeted bicyclists. METHODS: This prospective observational study, using a convenience sample, was conducted during daylight hours at three separate intersections, marked with legal stop signs, near the campus of a major university. Data collected included helmet use, legal hand signal use to indicate a turn or stop, and whether the bicyclist came to a complete stop before proceeding through the intersection. RESULTS: A total of 1,793 bicyclists were evaluated. Only 8.8% of the bicycle riders were wearing helmets. Helmeted bicyclists were 2.6 times more likely than nonhelmeted bicyclists to make legal stops (P < .000001; odds ratio [OR], 3.1; 95% confidence interval [CI], 2.1 to 4.6). They were also 7.1 times more likely to use hand signals (P < .000001; OR, 7.2; 95% CI, 2.8 to 18.2). CONCLUSION: Helmeted bicycle riders showed a significantly greater compliance with two traffic laws than nonhelmeted bicyclists. They were 2.6 times more likely to stop at stop signs and 7.1 times more likely to use legal hand signals. This very strong association of helmet use with safer riding habits has implications for injury-control efforts aimed at preventing bicycle-related injuries.

Analysis of federally imposed penalties for violations of the Consolidated Omnibus Reconciliation Act.

STUDY OBJECTIVE: To identify the incidence of federally imposed penalties for violations of the Consolidated Omnibus Reconciliation Act (COBRA). METHODS: Under the Freedom of Information Act, we retrieved a copy of any document related to fines imposed on, settlements made by, or litigation against physicians or hospitals as a result of COBRA violations from the Office of the Inspector General. Under a separate inquiry, also under the Freedom of Information Act, we requested and received from the central office of the Health Care Financing Administration the National Composite Log showing the status of all complaint investigations pursuant to COBRA since the inception of the law. RESULTS: One thousand seven hundred fifty-seven complaint investigations were authorized. Of the 1,729 investigations completed, 412 (24%) were found to be out of compliance with federal regulations. Of these, 27 cases resulted in fines imposed on hospitals. These fines ranged from $1,500 to $150,000 with a mean of $33,917, a median of $25,000, and standard deviation of $35,899. The six fines that were imposed against physicians ranged in value from $2,500 to $20,000 with a mean of $8,500, a median of $7,500, and an SD of $8,612. Seven hospitals but no physicians were terminated from the Medicare program for COBRA violations. CONCLUSION: The incidence of federally imposed penalties for COBRA violations is low given the multitude of patient transfers that have occurred since the enactment of COBRA. The growing concern regarding this issue may be related to current litigation efforts to broaden the scope and applications of these laws.

Comparison of clinically significant infection rates among prehospital-versus in-hospital-initiated i.v. lines.

STUDY OBJECTIVE: To compare the risk of infection for i.v. lines placed in the prehospital versus in the in-hospital setting in a midsized emergency medical service system. DESIGN: A retrospective analysis was made of all i.v. line site infections among patients admitted to ward beds from a university hospital emergency department in 1992. METHODS: The hospital's infection control team conducted daily ward rounds and a surveillance of all wound and blood cultures. Patients with signs and/or symptoms consistent with Centers for Disease Control and Prevention guidelines for skin and soft tissue infection were reported to the responsible medical team. Infections were documented based on consensus opinion between the infection control team and the physicians responsible for the care of the patient. IV lines placed in the prehospital phase of care were identified by electronic retrieval from the prehospital database. RESULTS: Three thousand one hundred eighty-five patients who had a prehospital or an in-hospital i.v. line placed were admitted from the ED. Eight hundred fifty-nine i.v. lines were prehospital placed (27%), and 2,326 were in-hospital placed (73%). There was one infection in the prehospital group and four in the in-hospital group (infection rate: .0012 for prehospital patients and .0017 for in-hospital patients; P = .591 by Fisher's exact test). CONCLUSION: Both cohorts had exceptionally low infection rates. No clinically or statistically significant increase in the risk of infection among prehospital- or in-hospital-initiated i.v. lines was identified.

A prospective investigation of the impact of alcohol consumption on helmet use, injury severity, medical resource utilization, and health care costs in bicycle-related trauma.

STUDY OBJECTIVE: To examine if a relationship exists between bicycle-related injuries, consumption of alcohol, helmet use, and medical resource utilization. DESIGN: A prospective cohort study with data from emergency department, operating room, and inpatient records. SETTING: University-based trauma center in a medium-sized metropolitan area. TYPE OF PARTICIPANTS: Adult victims (age > or = 18 years) of bicycle-related injury presenting to the emergency department. A total of 350 patients made up the study population. RESULTS: Group 1 consisted of 29 patients (8.3%) with detectable blood alcohol levels at the time of the incident. Group 2 (321 patients) had a measured blood alcohol level of 0 or no clinical indication of alcohol consumption. Group 1 mean Injury Severity Score was 10.3, with six (20.7%) sustaining at least one severe anatomic injury. Group 2 had an Injury Severity Score of 3.3 (p < 0.0001), with only 4.4% (p = 0.0013) sustaining severe anatomic injury. Mean length of hospitalization for group 1 was 3.5 days, including a mean of 1.4 intensive care unit days. Mean hospitalization (0.5 days, p < 0.0001) and intensive care unit (0.1 days, p < 0.0001) were significantly lower in group 2. Mean combined hospital and physician charges were more than six times greater for group 1 ($7,206) than group 2 patients ($1170, p < 0.0001). CONCLUSION: In patients presenting with bicycle-related injuries, prior consumption of alcohol is highly associated with greater injury severity, longer hospitalization, and higher health care costs. This information is useful in the development of injury prevention strategies to decrease incidence and severity of adult bicycle injuries.

A prospective in-field comparison of intravenous line placement by urban and nonurban emergency medical services personnel.

STUDY HYPOTHESIS: Emergency medical services personnel are highly proficient at rapid i.v. line placement in the prehospital setting, with little difference between urban and nonurban areas in a geographically diverse state. DESIGN: Prospective evaluation by an in-field observer of timing, sequence, success rates, and patient characteristics for IV line placement by prehospital personnel for 1 year. SETTING: Twenty advanced life support agencies from all four emergency medical service regions of Arizona. PARTICIPANTS: Fifty-eight patients encountered by participating emergency medical service agencies who had at least one i.v. line placement attempt in the prehospital setting. RESULTS: Urban agencies encountered 24 patients (41.4%), and nonurban agencies encountered 34 (58.6%). Fifty-seven of 58 patients (98.3%) had at least one successful i.v. line started before arrival at a hospital. All 24 urban patients and 33 of 34 nonurban patients (97.1%) had a successful i.v. line attempt (P = .586, power = .09). In the urban setting, 24 of 31 attempts (77.4%) were successful, and in the nonurban setting 35 of 52 attempts (67.3%) were successful (P = .464, power = .28). Mean i.v. line procedure intervals were 1.6 minutes in urban and 1.4 minutes in nonurban settings (P = .408, power = .7). Thirty of 31 i.v. line attempts (96.7%) were completed in less than 4 minutes in urban systems, and 49 of 52 IV line attempts (94.2%) were completed in less than 4 minutes in nonurban systems (P = .520, power = .13). Mean i.v. line procedure intervals were 1.3 minutes for successful attempts and 2.1 minutes for unsuccessful ones (P = .015). Mean i.v. line procedure intervals for on-scene attempts were 1.3 minutes compared with 2.0 minutes for attempts during transport (P = .005). On average, i.v. line attempts in trauma patients took only 1.0 minutes compared with 1.7 in medical patients (P = .017). CONCLUSION: Personnel in the 20 advanced life support agencies studied were extremely adept (rate of 98.3%) at obtaining i.v. line access in the prehospital setting. The time required to complete i.v. line placement was very short, and little difference was noted between urban and nonurban providers. I.v. procedure intervals were shorter for successful attempts, on-scene attempts, and attempts in trauma patients compared with their counterparts.

Emergency vehicle intervals versus collapse-to-CPR and collapse-to-defibrillation intervals: monitoring emergency medical services system performance in sudden cardiac arrest.

STUDY OBJECTIVE: To compare emergency vehicle response intervals with collapse-to-intervention intervals to determine which of these system data better correlated with survival after prehospital sudden cardiac arrest. STUDY DESIGN: A 22-month case series, collected prospectively, of out-of-hospital cardiac arrests. Times of collapse, dispatch, scene arrival, CPR, and initial defibrillation were determined from dispatch records, recordings of arrest events, interviews with bystanders, and hospital records. SETTING: Southwestern city (population, 400,000; area, 390 km2) with a two-tiered basic life support-advanced life support emergency medical services system. Emergency medical technician-firefighters without electrical defibrillation capability comprised the first response tier; firefighter-paramedics were the second tier. PATIENTS: One hundred eighteen cases of witnessed, out-of-hospital cardiac arrest in adults with initial ventricular fibrillation. MAIN OUTCOME MEASURES: Survival was defined as a patient who was discharged alive from the hospital. RESULTS: Eighteen of 118 patients (15%) survived. Survivors did not differ significantly from nonsurvivors in age, sex, or basic life support or advanced life support response intervals. Survivors had significantly (P < .05) shorter intervals from collapse to CPR (1.7 versus 5.2 minutes) and to defibrillation (7.4 versus 9.5 minutes). CONCLUSION: Collapse-to-intervention intervals, not emergency vehicle response intervals, should be used to characterize emergency medical services system performance in the treatment of sudden cardiac death.

Physician in-field observation of prehospital advanced life support personnel: a statewide evaluation.

STUDY HYPOTHESIS: Direct physician observation of advanced life support (ALS) personnel is rare in a demographically diverse state. STUDY POPULATION: Twenty ALS agencies from throughout Arizona. METHODS: A board-certified emergency physician performed on-site interviews with the emergency medical services (EMS) supervisor of each agency to approximate the number of days per year that physicians observe ALS personnel in the field. RESULTS: Only 11 agencies (55%) reported that physicians ever observed ALS personnel. Among all agencies, an estimated total of 84 observer-days occurred per year. The agencies staffed a total of 86 ALS units, resulting in an estimated 0.98 observer-days/unit/year (84/86). On the average, it took 3.4 ALS personnel to staff a given unit over time and the probability that an ALS provider would be on a unit on any given day was 0.29 (1/3.4). The probability of a given provider being observed during one year was approximately 0.29 (0.98 x 0.29). Thus, on the average, an ALS provider would be observed by a physician approximately once every 3.5 years (1/0.29). Among urban agencies, the "average" ALS provider would be observed once every 2.9 years. This compared to a likelihood of in-field observation of only once every 6.7 years for non-urban providers (p = .036). CONCLUSIONS: The skills of ALS providers in Arizona are observed by a physician in the field very infrequently. Although an uncommon occurrence in urban agencies, observation of non-urban ALS personnel occurs even less frequently. In addition, nearly one-half of the agencies surveyed never had a physician-observer. Although a variety of skills evaluation methods exist, it remains unclear whether any method is as useful as direct observation. Future investigations are needed to evaluate whether in-field physician observation impacts skills, patient care, or outcome in EMS systems.

Prospective validation of a new model for evaluating emergency medical services systems by in-field observation of specific time intervals in prehospital care.

STUDY OBJECTIVE: To develop and validate a new time interval model for evaluating operational and patient care issues in emergency medical service (EMS) systems. DESIGN/SETTING/TYPE OF PARTICIPANT: Prospective analysis of 300 EMS responses among 20 advanced life support agencies throughout an entire state by direct, in-field observation. RESULTS: Mean times (minutes) were response, 6.8; patient access, 1.0; initial assessment, 3.3; scene treatment, 4.4; patient removal, 5.5; transport, 11.7; delivery, 3.5; and recovery, 22.9. The largest component of the on-scene interval was patient removal. Scene treatment accounted for only 31.0% of the on-scene interval, whereas accessing and removing patients took nearly half of the on-scene interval (45.8%). Operational problems (eg, communications, equipment, uncooperative patient) increased patient removal (6.4 versus 4.5; P = .004), recovery (25.4 versus 20.2; P = .03), and out-of-service (43.0 versus 30.1; P = .007) intervals. Rural agencies had longer response (9.9 versus 6.4; P = .014), transport (21.9 versus 10.3; P < .0005), and recovery (29.8 versus 22.1; P = .049) interval than nonrural. The total on-scene interval was longer if an IV line was attempted at the scene (17.2 versus 12.2; P < .0001). This reflected an increase in scene treatment (9.2 versus 2.8; P < .0001), while patient access and patient removal remained unchanged. However, the time spent attempting IV lines at the scene accounted for only a small part of scene treatment (1.3 minutes; 14.1%) and an even smaller portion of the overall on-scene interval (7.6%). Most of the increase in scene treatment was accounted for by other activities than the IV line attempts. CONCLUSION: A new model reported and studied prospectively is useful as an evaluative research tool for EMS systems and is broadly applicable to many settings in a demographically diverse state. This model can provide accurate information to system researchers, medical directors, and administrators for altering and improving EMS systems.

Meeting the goals of academia: characteristics of emergency medicine faculty academic work styles.

STUDY OBJECTIVES: Emergency medicine faculty have 24-hour clinical responsibilities in addition to the academic requirements of research and administration/teaching. This study was undertaken to determine the existing and ideal work style of such faculty by professional rank, administrative title, and/or tenure versus clinical track. DESIGN: Data analysis from department or residency directors of Accreditation Council for Graduate Medical Education-approved emergency medicine residency programs. SETTING: ACGME-approved emergency medicine residency programs. TYPE OF PARTICIPANTS: Emergency medicine faculty. RESULTS: Ninety-three percent of programs submitted appropriate data. Programs averaged 11 full- and four part-time faculty. Mean time ranged from 15 to 30 hours per week with an average mean of 23 hours (48% of total work week) for clinical responsibilities, from ten to 32 hours per week with an average mean of 19 hours per week (38%) for administrative/teaching efforts, and from three to 14 hours per week with an average mean of seven hours per week (15%) for research. Total time averaged between 44 and 51 hours per week. Ideal work style emphasized less clinical time and a shorter work week. Responsibilities varied by rank, administrative position, and clinical versus tenure track. CONCLUSION: Emergency medicine faculty accomplish the clinical, research, and teaching/administrative demands of academia by increasing the number of faculty, varying the faculty responsibilities by rank and title, and shortening the total work week. Research time is extremely limited.

Case and survival definitions in out-of-hospital cardiac arrest. Effect on survival rate calculation.

OBJECTIVE: To determine the effect of different case and survival definitions of out-of-hospital cardiac arrest on survival rate calculations. DESIGN: A 22-month case series of nontraumatic, out-of-hospital cardiac arrests. SETTING: Southwestern city (population, 400,000; area, 390 km2) with a two-tiered emergency response system consisting of emergency medical technicians and paramedics. PATIENTS: A consecutive sample of 372 patients found without palpable pulse of spontaneous respiration. MAIN OUTCOME MEASURES: Survival rate after cardiac arrest was calculated using three case definitions of arrest and two definitions of survival. RESULTS: Twenty percent of all patients survived to hospital admission and 6% survived to hospital discharge. Twenty-six percent of adults whose collapse was witnessed survived to hospital admission, and 10% survived to hospital discharge. Patients whose collapse was witnessed and who experienced initial ventricular fibrillation survived to hospital admission in 38% and to hospital discharge in 15% of cases. CONCLUSIONS: The survival rate after out-of-hospital cardiac arrest varies widely depending on the case and survival definitions selected. To facilitate intersystem comparison and assessment of interventions designed to improve outcome, the Utstein Consensus Conference recommended that case and survival definitions should be adopted by all prehospital emergency systems.