Novel Methodology for Linking 9-1-1 Dispatch Categories with a Death Registry: Mortality Rates of Selected Dispatch Categories.

OBJECTIVES: Medical Priority Dispatch System (MPDS) is a system used to assign medical 9-1-1 calls to one of 35 chief complaints that are further categorized in order of increasing priority, Alpha through Echo. In this descriptive study we demonstrate the methodology of matching MPDS codes to a county mortality registry. We also evaluated the ability of select MPDS codes (fall, respiratory, sick person, and abdominal pain) to predict mortality up to 30 d for all ages transported by Alameda County Emergency Medical Services (EMS). METHODS: Using Alameda County EMS data, we conducted a retrospective review of all EMS encounters that occurred from November 1, 2011, to November 1, 2016. To describe mortality in this population, we identified unique patients and linked them to the Alameda County Public Health Death Registry. We identified mortality at 48 h, 7 d, and 30 d after an EMS encounter. RESULTS: Approximately 99% of the EMS encounters were matched with unique patient identifiers, yielding a study sample of 202,431 (4% less than age 18, 53% between ages 18-65, and 43% over age 65). Patients with a respiratory chief complaint had the highest mortality percentage in each age group (0.23%, 2.7%, and 14.55% respectively). There was no correlation between the MPDS code and mortality for patients less than age 18. An increase in Alpha through Echo designation for respiratory complaints in patients 18-65 and older than 65 years corresponded with an increase in 30-day mortality. CONCLUSIONS: This study demonstrates an upward trend in mortality with increasing acuity of Alpha through Echo designations for adult patients with respiratory complaints. Mortality increased with age in this cohort. Most of the deaths occurred after 7 days.

Real-World Midazolam Use and Outcomes With Out-of-Hospital Treatment of Status Epilepticus in the United States.

STUDY OBJECTIVE: Guidelines recommend 10-mg intramuscular midazolam as the first-line treatment option for status epilepticus. However, in real-world practice, it is frequently administered intranasally or intravenously and is dosed lower. Therefore, we used conventional and instrumental variable approaches to examine the effectiveness of midazolam in a national out-of-hospital cohort. METHODS: This retrospective cohort study of adults with status epilepticus used the ESO Data Collaborative research dataset (January 1, 2019, to December 31, 2019). The exposures were the route and dose of midazolam. We performed hierarchical logistic regression and 2-stage least squares regression using agency treatment patterns as an instrument to examine our outcomes, rescue therapy, and ventilatory support. RESULTS: There were 7,634 out-of-hospital encounters from 657 EMS agencies. Midazolam was administered intranasally in 20%, intravenously in 46%, and intramuscularly in 35% of the encounters. Compared with intramuscular administration, intranasal midazolam increased (risk difference [RD], 6.5%; 95% confidence interval [CI], 2.4% to 10.5%) and intravenous midazolam decreased (RD, -11.1%; 95% CI, -14.7% to -7.5%) the risk of rescue therapy. The differences in ventilatory support were not statistically significant (intranasal RD, -1.5%; 95% CI, -3.2% to 0.3%; intravenous RD, -0.3%; 95% CI, -1.9% to 1.2%). Higher doses were associated with a lower risk of rescue therapy (RD, -2.6%; 95% CI, -3.3% to -1.9%) and increased ventilatory support (RD, 0.4%; 95% CI, 0.1% to 0.7%). The instrumental variable analysis yielded similar results, except that dose was not associated with ventilatory support. CONCLUSION: The route and dose of midazolam affect clinical outcomes. Compared with intramuscular administration, intranasal administration may be less effective and intravenous administration more effective in terminating status epilepticus, although the differences between these and previous results may reflect the nature of real-world data as opposed to randomized data.

Effect of a Mobile Integrated Hospice Healthcare Program on Emergency Medical Services Transport to the Emergency Department.

Objective: To evaluate the effect of a Mobile Integrated Hospice Healthcare (MIHH) program including hospice education and expansion of paramedic scope of practice to use hospice medication kits. Primary outcome was the effect on hospice patient transport to the Emergency Department. Secondary outcomes included reasons for patient transport and review of MIHH kit utilization. Methods: In 2015, the project was implemented in Ventura County, California in collaboration with county emergency medical services (EMS) agency, first response/transport organizations, and hospice programs. Paramedic supervisors received 30 hours of hospice training focusing on palliative care, grief and crisis counseling. When 9-1-1 was called for a patient, EMS first responders arrived on scene, determined a patient was enrolled in hospice and then contacted trained MIHH. Results: Six months (2/2015-7/2015) prior to project implementation the percentage of hospice patients transported to the ED averaged 80.3% (98/122). During the first (8/2015-7/2016), second (8/2016-7/2017) and third year (8/2017-7/2018) after project implementation, the percentage of hospice patients transported to the ED was 36.2% (68/188), 33.2% (63/190) and 24.8% (36/145) respectively. A total of 523 hospice patients were cared for by MIHH during this three-year interval. Of those hospice patients transported, the most common reason for transport was fall/trauma. The MIHH hospice kit was only used once in the field. Odds ratio for hospice transportation to the ED before and after project implementation was 0.125 (95% Confidence Interval: 0.077 to 0.201; p < 0.0001). This represents an absolute reduction risk of 46.6% (95% Confidence Interval: 38.53% to 54.72%). Conclusion: MIHH decreased the transportation of hospice patients to the ED. MIHH provided hospice education, provided family grief support and developed treatment plans with hospice nurses. An expanded scope of practice, including a paramedic hospice kit, was not contributory to this decrease.

EMS Experience Caring and Communicating with Patients and Families with a Life-Limiting-Illness.

Introduction: The emergency medical services (EMS) system was designed to reduce death and disability and EMS training focuses on saving lives through resuscitation, aggressive treatment and transportation to the emergency department. EMS providers commonly care for patients who have life-limiting illnesses. The objective was to explore EMS provider challenges, self-perceived roles and training experiences caring for patients and families with life-limiting illness. Methods: Qualitative content analysis of semi-structured interviews with EMS providers (n = 15) in Alameda County, CA. Purposive sampling was used to ensure a variety of perspectives including provider age, years of EMS experience, emergency medical technicians and paramedics, fire-based versus private, transport versus non-transporting. Recorded and transcribed interviews were analyzed using a thematic approach. Results: In their work with patients with life-limiting illness, participating EMS providers were interviewed and reported challenges for which their formal training had not prepared them: responding to grief and emotion expressed by families during traumatic events or death notification, and performing in the moment decision-making to determine the course of action after acute, unexpected, and traumatic events. Many participants reported becoming comfortable with grief counseling and death notification after acquiring some clinical experience. In the moment decision-making was eased when patients and families had had advance care planning discussions, however many patients, especially those from vulnerable and underserved populations, lacked advance care planning. In the face of situations where the course of action was not immediately clear, EMS providers voiced two frames for their role in caring for patients with life-limiting illness: transportation only ("transport people") versus a more "holistic" view, where EMS providers provided counseling and information about available resources. Conclusions: EMS providers interface with patients who have life-limiting illness and their families in the setting of traumatic events where the course of action is often unclear. There is an opportunity to provide formal training to EMS providers around grief counseling as well as how they can assist patients and families in in the moment decision-making to support previously identified goals and align care with patient goals and preferences.

Paramedic use of the Physician Order for Life-Sustaining Treatment (POLST) for medical intervention and transportation decisions.

BACKGROUND: Physician Order for Life-Sustaining Treatment forms (POLST) exist in some format in all 50 states. The objective of this study is to determine paramedic interpretation and application of the California POLST for medical intervention and transportation decisions. METHODS: This study used a prospective, convenience sample of California Bay Area paramedics who reviewed six fictional scenarios of patients and accompanying mock POLST forms. Based on the clinical case and POLST, paramedics identified medical interventions that were appropriate (i.e. non-invasive positive pressure airway) as well as transportation decisions (i.e. non-transport to the hospital against medical advice). EMS provider confidence in their POLST interpretation was also assessed. RESULTS: There were 118 paramedic participants with a mean of 13.3 years of EMS experience that completed the survey. Paramedics routinely identified the selected medical intervention on a patients POLST correctly as either comfort focused, selective or full treatment (113-118;96%-100%). For many clinical scenarios, particularly when a patient's POLST indicated comfort focused treatment, paramedics chose to use online medical oversight through base physician contact (68-73;58%-62%). In one case, a POLST indicated "transport to hospital only if comfort needs cannot be met in current location", 13 (14%) paramedics elected to transport the patient anyway and 51 (43%) chose "Non-transport, Against Medical Advice". The majority of paramedics agreed or strongly agreed that they knew how to use a POLST to decide which medical interventions to provide (106;90%) and how to transport a patient (74;67%). However, after completing the cases, similar proportions of paramedics agreed (42;36%), disagreed (43;36%) or were neutral (30;25%) when asked if they find the POLST confusing. CONCLUSION: The POLST is a powerful tool for paramedics when caring patients with serious illness. Although paramedics are confident in their ability to use a POLST to decide appropriate medical interventions, many still find the POLST confusing particularly when making transportation decisions. Some paramedics rely on online medical oversight to provide guidance in challenging situations. Authors recommend further research of EMS POLST utilization and goal concordant care, dedicated paramedic POLST education, specific EMS hospice and palliative care protocols and better nomenclature for non-transport in order to improve care for patients with serious illness.

Overdose Receiving Centers - An Idea Whose Time Has Come?

Drug overdose deaths have been the leading cause of accidental death in the United States with two thirds involving opioids. Strong evidence supports the efficacy of medications for addiction treatment such as buprenorphine and harm reduction strategies such as naloxone distribution. While emergency medical service (EMS) systems have defined specialty centers for the treatment of many significant life threatening disease (trauma, stroke, myocardial infarction) implementation of opioid use disorder systems of care that integrate EMS are uncommon. As fentanyl drives the third wave of the opioid epidemic, EMS systems are uniquely positioned to direct patients to hospitals that can provide the best care for patients with Opiate Use Disorder (OUD.) Emergency Departments which have established systems for early intervention and treatment for patients with opioid use disorders have shown higher engagement in treatment programs. This, in turn, leads to lower mortality. EMS systems which designate specialty centers for overdose patients may show a public health mortality benefit.

Identification of Generalized Convulsive Status Epilepticus from Emergency Medical Service Records: A Validation Study of Diagnostic Coding.

BACKGROUND: Generalized convulsive status epilepticus (GCSE) is a neurologic emergency demanding prehospital identification and treatment. Evaluating real-world practice requires accurately identifying the target population; however, it is unclear whether emergency medical services (EMS) documentation accurately identifies patients with GCSE. OBJECTIVE: To evaluate the validity of EMS diagnostic impressions for GCSE. METHODS: This was an analysis of electronic medical records of a California county EMS system from 2013 to 2018. We identified all cases with a primary diagnostic impression of "seizure-active," "seizure-post," or "seizure-not otherwise specified (NOS)" and within each diagnostic category, we randomly selected 75 adult and 25 pediatric records. Two authors reviewed the provider narrative of these 300 charts to determine a clinical seizure diagnosis according to prespecified definitions. We calculated a kappa for interrater reliability of the clinical diagnosis. We then calculated the positive predictive value (PPV), sensitivity, and specificity of an EMS diagnosis of "seizure-active" diagnosis for identifying GCSE. Sensitivity and specificity calculations were weighted according to the distribution of seizure cases in the overall population. We performed a descriptive analysis of records with an incorrect EMS diagnosis of GCSE or seizure. RESULTS: Of 38,995 total records for seizure, there were 3401 (8.7%) seizure-active cases, 12,478 (32.0%) seizure-NOS cases, and 23,116 (59.4%) seizure-post cases. An EMS diagnosis of "seizure-active" had a PPV of 65.0% (95% CI 54.8-74.3), sensitivity of 54.6% (95% confidence interval [CI] 39.3-69.0), and specificity of 96.6% (95% CI 95.1-97.6) for capturing GCSE. Limiting the case definition to patients who received an EMS diagnosis of "seizure-active" and were treated with a benzodiazepine increased the PPV (80.2%; 95% CI 69.9-88.2) and specificity (99.3%; 95% CI 98.7-99.6) while the sensitivity decreased (25.1%; 95% CI 17.0-35.3). Across the 300 records reviewed, there were 19 (6.3%) patients who had a non-seizure related diagnosis including non-epileptic spells (7 records), altered mental status (8 records), tremors (2 records), anxiety (1 record), and stroke (1 record). CONCLUSIONS: EMS diagnostic impressions have reasonable PPV and specificity but low sensitivity for GCSE. Improved coding algorithms and training will allow for improved benchmarking, quality improvement, and research about this neurologic emergency.

Prehospital, post-ROSC blood pressure and associated neurologic outcome.

OBJECTIVE: To investigate the relationship between hypotension and neurologic outcome in adults with return of spontaneous circulation after out-of-hospital cardiac arrest. METHODS: Blood pressure and medication data were extracted from adult patients who had ROSC after OHCA in Alameda County and matched with neurologic outcome using the CARES database from January 1, 2018 through July 1, 2019. We used univariate logistic regression with p ≤ 0.2 followed by multivariate logistic regression and reported an odds ratio with 95% confidence intervals. RESULTS: Among the 781 adult patients who had ROSC after OHCA, 107 (13.7%) were noted to be hypotensive and 61 (57% of the hypotensive group) received vasopressors. Patients with a final prehospital blood pressure recording of <90 mmHg were more likely to have a poor neurologic outcome (adjusted odds ratio 2.13, adj p = 0.048). About twice as many patients who were not hypotensive had a good neurologic outcome compared to hypotensive patients who had a good neurologic outcome (23% to 10.3%). Additionally, patients who were hypotensive and did not receive vasopressors had a similar neurologic outcome compared to patients who did receive vasopressors. CONCLUSION: Prehospital post-ROSC hypotension was associated with worse neurologic outcome and giving hypotensive patients vasopressors may not improve neurologic outcome in the prehospital setting.

Prospective Countywide Surveillance and Autopsy Characterization of Sudden Cardiac Death: POST SCD Study.

BACKGROUND: Studies of out-of-hospital cardiac arrest and sudden cardiac death (SCD) use emergency medical services records, death certificates, or definitions that infer cause of death; thus, the true incidence of SCD is unknown. Over 90% of SCDs occur out-of-hospital; nonforensic autopsies are rarely performed, and therefore causes of death are presumed. We conducted a medical examiner-based investigation to determine the precise incidence and autopsy-defined causes of all SCDs in an entire metropolitan area. We hypothesized that postmortem investigation would identify actual sudden arrhythmic deaths among presumed SCDs. METHODS: Between February 1, 2011, and March 1, 2014, we prospectively identified all incident deaths attributed to out-of-hospital cardiac arrest (emergency medical services primary impression, cardiac arrest) between 18 to 90 years of age in San Francisco County for autopsy, toxicology, and histology via medical examiner surveillance of consecutive out-of-hospital deaths, all reported by law. We obtained comprehensive records to determine whether out-of-hospital cardiac arrest deaths met World Health Organization (WHO) criteria for SCD. We reviewed death certificates filed quarterly for missed SCDs. Autopsy-defined sudden arrhythmic deaths had no extracardiac cause of death or acute heart failure. A multidisciplinary committee adjudicated final cause. RESULTS: All 20 440 deaths were reviewed; 12 671 were unattended and reported to the medical examiner. From these, we identified 912 out-of-hospital cardiac arrest deaths; 541 (59%) met WHO SCD criteria (mean 62.8 years, 69% male) and 525 (97%) were autopsied. Eighty-nine additional WHO-defined SCDs occurred within 3 weeks of active medical care with the death certificate signed by the attending physician, ineligible for autopsy but included in the countywide WHO-defined SCD incidence of 29.6/100 000 person-years, highest in black men (P<0.0001). Of 525 WHO-defined SCDs, 301 (57%) had no cardiac history. Leading causes of death were coronary disease (32%), occult overdose (13.5%), cardiomyopathy (10%), cardiac hypertrophy (8%), and neurological (5.5%). Autopsy-defined sudden arrhythmic deaths were 55.8% (293/525) of overall, 65% (78/120) of witnessed, and 53% (215/405) of unwitnessed WHO-defined SCDs (P=0.024); 286 of 293 (98%) had structural cardiac disease. CONCLUSIONS: Forty percent of deaths attributed to stated cardiac arrest were not sudden or unexpected, and nearly half of presumed SCDs were not arrhythmic. These findings have implications for the accuracy of SCDs as defined by WHO criteria or emergency medical services records in aggregate mortality data, clinical trials, and cohort studies.

Emergency Medical Services Use Among Patients Receiving Involuntary Psychiatric Holds and the Safety of an Out-of-Hospital Screening Protocol to "Medically Clear" Psychiatric Emergencies in the Field, 2011 to 2016.

STUDY OBJECTIVE: Patients with acute psychiatric emergencies who receive an involuntary hold often spend hours in the emergency department (ED) because of a deficit in inpatient psychiatric beds. One solution to address the lack of prompt psychiatric evaluation in the ED has been to establish regional stand-alone psychiatric emergency services. However, patients receiving involuntary holds still need to be screened and evaluated to ensure that their behavior is not caused by an underlying and life-threatening nonpsychiatric illness. Although traditional regional emergency medical services (EMS) systems depend on the medical ED for this function, a field-screening protocol can allow EMS to directly transport a substantial portion of patients to a stand-alone psychiatric emergency service. The purpose of this investigation is to describe overall EMS use for patients receiving involuntary holds, compare patients receiving involuntary holds with all EMS patients, and evaluate the safety of field medical clearance of an established field-screening protocol in Alameda County, CA. METHODS: We obtained data for all EMS encounters between November 1, 2011, and November 1, 2016, using Alameda County's standardized data set. After unique patient identification, we describe the data at the patient level and at the encounter level. At the patient level, we compare "involuntary hold patients" (≥1 involuntary hold during the study period) with those who were "never held." Additionally, we assess the safety of out-of-hospital medical clearance by calculating the rate of failed diversion, defined as retransport of a patient to a medical ED within 12 hours of transport to the psychiatric emergency services by EMS. RESULTS: Of the 541,731 total EMS encounters in Alameda County during the study period, 10% (N=53,887) were identified as involuntary hold encounters. Of these involuntary hold patient encounters, 41% (N=22,074) resulted in direct transport of the patient to the stand-alone psychiatric emergency service for evaluation; 0.3% (N=60) failed diversion and required retransport within 12 hours. At the patient level, Alameda County EMS encountered 257,625 unique patients, and 10% (N=26,283) had at least one encounter for an involuntary hold during the study period. These "involuntary hold patients" were substantially younger, more likely to be men, and less likely to be insured. Additionally, they had higher overall EMS use: "involuntary hold patients" accounted for 24% of all encounters (N=128,003); 53,887 of these encounters were for involuntary holds, whereas an additional 74,116 were for other reasons. Similarly, 4% of "involuntary hold patients" had 20 or more encounters, whereas only 0.4% of "never held" patients were in this category. Last, the 7% of "involuntary hold patients" (N=1,907) who received greater than or equal to 5 involuntary holds during the study period accounted for 39% of all involuntary holds and 9% of all EMS encounters. CONCLUSION: Ten percent of all EMS encounters were for involuntary psychiatric holds. With an EMS-directed screening protocol, 41% of all such patient encounters resulted in direct transport of the patient to the psychiatric emergency service, bypassing medical clearance in the ED. Overall, only 0.3% of these patients required retransport to a medical ED within 12 hours of arrival to psychiatric emergency services. We found that 24% of all EMS encounters in Alameda County were attributable to "involuntary hold patients," reinforcing the importance of the effects of mental illness on EMS use.

Statewide Method of Measuring Ambulance Patient Offload Times.

OBJECTIVE: Ambulance patient offload time (APOT) also known colloquially as "Wall time" has been described in various jurisdictions but seems to be highly variable. Any attempt to improve APOT requires the use of common definitions and standard methodology to measure the extent of the problem. METHODS: An Ambulance Offload Delay Task Force in California developed a set of standard definitions and methodology to measure APOT for transported 9-1-1 patients. It is defined as the time "interval between the arrival of an ambulance at an emergency department and the time that the patient is transferred to an ED gurney, bed, chair or other acceptable location and the ED assumes responsibility for care of the patient." Local EMS agencies voluntarily reported data according to the standard methodology to the California EMS Authority (State agency). RESULTS: Data were reported for 9-1-1 transports during 2017 from 9 of 33 local EMS Agencies in California that comprise 37 percent of the state population. These represent 830,637 ambulance transports to 126 hospitals. APOT shows significant variation by EMS agency with half of the agencies demonstrating significant delays. Offload times vary markedly by hospital as well as by region. Three-fourths of hospitals detained EMS crews more than one hour, 40% more than two hours, and one-third delayed EMS return to service by more than three hours. CONCLUSION: This first step to address offload delays in California consists of standardized definitions for data collection to address the significant variability inherent in obtaining data from 33 local agencies, hundreds of EMS provider agencies, and 320 acute care hospital Emergency Departments that receive 9-1-1 ambulance transports. The first year of standardized data collection of ambulance patient offload times revealed significant ambulance patient offload time delays that are not distributed uniformly, resulting in a substantial financial burden for some EMS providers in California.

Neighborhood Poverty and 9-1-1 Ambulance Response Time.

BACKGROUND: Are 9-1-1 ambulances relatively late to poorer neighborhoods? Studies suggesting so often rely on weak measures of neighborhood (e.g., postal zip code), limit the analysis to particular ambulance encounters (e.g., cardiac arrest responses), and do little to account for variations in dispatch priority or intervention severity. METHODS: We merged EMS ambulance contact records in a single California county (n = 87,554) with tract-level data from the American Community Survey (n = 300). After calculating tract-level median ambulance response time (MART), we used ordinary least squares (OLS) regression to estimate a conditional average relationship between neighborhood poverty and MART and quantile regression to condition this relationship on 25th, 50th, and 75th percentiles of MART. We also specified each of these outcomes by five dispatch priorities and by three intervention severities. For each model, we estimated the associated changes in MART per 10 percentage point increase in tract-level poverty while adjusting for emergency department proximity, population density, and population size. RESULTS: Our study produced three major findings. First, most of our tests suggested tract-level poverty was negatively associated with MART. Our baseline OLS model estimates that a 10 percentage point increase in tract-level poverty is associated with almost a 24 s decrease in MART (-23.55 s, 95% confidence interval [CI] -33.13 to -13.98). Results from our quantile regression models provided further evidence for this association. Second, we did not find evidence that ambulances are relatively late to poorer neighborhoods when specifying MART by dispatch priority. Third, we were also unable to identify a positive association between tract-level poverty and MART when we specified our outcomes by three intervention severities. Across each of our 36 models, tract-level poverty was either not significantly associated with MART or was negatively associated with MART by a magnitude smaller than a full minute per estimated 10 percentage point increase in poverty concentration. CONCLUSION: Our study challenges the commonly held assumption that ambulances are later to poor neighborhoods. We scrutinize our findings before cautiously considering their relevance for ambulance response time research and for ongoing conversations on the relationship between neighborhood poverty and prehospital care.

Neighborhood Poverty and 9-1-1 Ambulance Contacts.

BACKGROUND: Neighborhood poverty is positively associated with frequency of 9-1-1 ambulance utilization, but it is unclear whether this association remains significant when accounting for variations in the severities and types of ambulance contacts. METHODS: We merged EMS ambulance contact records in a single California county (n = 88,027) with data from the American Community Survey at the census tract level (n = 300). Using tract as a proxy for neighborhood and negative binomial regression as an analytical tool, we predicted 16 outcomes: any ambulance contacts, ambulance contacts stratified by three intervention severities, and ambulance contacts varied by 12 primary impression categories. For each model, we estimated the incident rate ratios for 10 percentage point increases in tract-level poverty while controlling for geographic patterns in race, citizenship, gender, age, emergency department proximity, population density, and population size. RESULTS: Our study produced three major findings. First, tract-level poverty was positively associated with ambulance contacts (incident rate ratio [IRR] 1.45; 95% confidence interval [CI] 1.34 to 1.57). Second, poverty was positively associated with low severity contacts (IRR 1.48; 95% CI 1.35 to 1.61), medium severity contacts (IRR 1.38; 95% CI 1.28 to 1.49), and high severity contacts (IRR 1.40; 95% CI 1.30 to 1.51). Third, poverty was positively associated with 12 primary impression categories: abdominal (IRR 1.48; 95% CI 1.36 to 1.61), altered level of consciousness (IRR 1.37; 95% CI 1.25 to 1.50), cardiac (IRR 1.28; 95% CI 1.14 to 1.42), overdose/intoxication (IRR 1.59; 95% CI 1.40 to 1.81), pain (IRR 1.56; 95% CI 1.41 to 1.73), psych/behavioral (IRR 1.50; 95% CI 1.34 to 1.67), respiratory (IRR 1.42; 95% CI 1.29 to 1.56) seizure (IRR 1.52; 95% CI 1.38 to 1.68), stroke (IRR 1.14; 95% CI 1.01 to 1.28), syncope/near syncope (IRR 1.23; 95% CI 1.12 to 1.36), trauma (IRR 1.44; 95% CI 1.31 to 1.58), and general weakness (IRR 1.31; 95% CI 1.20 to 1.42). CONCLUSION: Our study suggests poverty is a positive, strong, and enduring predictor of ambulance contacts at the neighborhood level. The relationship between neighborhood poverty and ambulance utilization should be considered at multiple levels of EMS decision making.

Continuous Quality Improvement Efforts Increase Survival with Favorable Neurologic Outcome after Out-of-hospital Cardiac Arrest.

OBJECTIVE: To assess system-wide implementation of specific therapies focused on perfusion during cardiopulmonary resuscitation (CPR) and cerebral recovery after Return of Spontaneous Circulation (ROSC). METHODS: Before and after retrospective analysis of an out-of-hospital cardiac arrest database. Implementation trial in the urban/suburban community of Alameda County, California, USA, population 1.6 million, from November 2009-December 2012. Adult patients with non-traumatic out-of-hospital cardiac arrest (OHCA) who received CPR and/or defibrillation. The impedance threshold device was used throughout this study and there was an increased use of mechanical CPR (mCPR) and in-hospital therapeutic hypothermia (HTH). RESULTS: Rates of ROSC, survival to hospital discharge and Cerebral Performance Category (CPC) scores were compared using univariate and multivariable analyses. A total of 2,926 adult non-traumatic patients with OHCA received CPR during the study period. From 2009-2011 to 2012, there was an increase in ROSC from 29.0% to 34.4% (p = 0.003) and a non-significant increase in hospital discharge from 10.2% to 12.0% (p = 0.16). There was a 76% relative increase in survival with favorable neurologic function between the two periods, as determined by CPC ≤ 2, from 4.5% to 7.9% (unadjusted OR = 1.80; CI = 1.31, 2.48; p < 0.001). After adjusting for witnessed arrest, bystander CPR, initial rhythm (VT/VF vs. others), placement of an advanced airway, EMS response time, drugs administered, and age, the OR was 1.61 (1.10, 2.36; p = 0.015). Using a stepwise multivariable logistic regression model, the independent predictors of CPC ≤ 2 were 2012 (vs. 2009-2011; p = 0.022), witnessed arrest (p < 0.001), initial rhythm VT/VF (p < 0.001), and advanced airway (inverse association p < 0.001). Additional analyses of the three prescribed therapies, separately and in combination, demonstrated that for those patients admitted to the hospital, mCPR with HTH had the biggest impact on survival to hospital discharge with CPC ≤ 2. CONCLUSIONS: Specific therapies within a system of care (mCPR, HTH), developed to enhance circulation during CPR and cerebral recovery after ROSC, significantly improved survival by 74% with favorable neurologic function following OHCA.

Hypoglycemia Patients and Transport by EMS in Alameda County, 2013-15.

OBJECTIVE: To estimate the rate, characteristics, and dispositions of hypoglycemia events among persons who received care from Alameda County, California, Emergency Medical Services (EMS). METHODS: This study was based on data for 601,077 Alameda County EMS encounters during 2013-15. Subjects were defined as having hypoglycemia if EMS personnel recorded a primary impression of hypoglycemia or low blood glucose (<60 mg/dl or "unspecified low"). The outcome of interest was patient transport or non-transport to an emergency department or other care setting; we excluded 33,177 (6%) encounters which lacked clear disposition outcomes. RESULTS: Among 567,900 eligible encounters, 8,332 (1.47%) were attributed to hypoglycemia, of which 1,125 (13.5%) were not transported. Non-transport was more likely among males, adult patients age <60, initial blood glucose >60 mg/dl or EMS arrival time 18:00-6:00. CONCLUSIONS: Without an understanding of EMS encounters and non-transport rates, surveillance based solely on emergency department and hospital data will significantly underestimate rates of severe hypoglycemia. Additionally, given that hypoglycemia is often safely and effectively treated by non-physicians, EMS protocols should provide guidance for non-transport of hypoglycemic patients whose blood glucose levels have normalized.

EMS-STARS: Emergency Medical Services "Superuser" Transport Associations: An Adult Retrospective Study.

Abstract Objective. Emergency medical services (EMS) "superusers" -those who use EMS services at extremely high rates -have not been well characterized. Recent interest in the small group of individuals who account for a disproportionate share of health-care expenditures has led to research on frequent users of emergency departments and other health services, but little research has been done regarding those who use EMS services. To inform policy and intervention implementation, we undertook a descriptive analysis of EMS superusers in a large urban community. In this paper we compare EMS superusers to low, moderate, and high users to characterize factors contributing to EMS use. We also estimate the financial impact of EMS superusers. Methods. We conducted a retrospective cross-sectional study based on 1 year of data from an urban EMS system. Data for all EMS encounters with patients age ≥18 years were extracted from electronic records generated on scene by paramedics. We identified demographic and clinical variables associated with levels of EMS use. EMS users were characterized by the annual number of EMS encounters: low (1), moderate (2-4), high (5-14), and superusers (≥15). In addition, we performed a financial analysis using San Francisco Fire Department (SFFD) 2009 charge and reimbursement data. Results. A total of 31,462 adults generated 43,559 EMS ambulance encounters, which resulted in 39,107 transports (a 90% transport rate). Encounters for general medical reasons were common among moderate and high users and less frequent among superusers and low users, while alcohol use was exponentially correlated with encounter frequency. Superusers were significantly younger than moderate EMS users, and more likely to be male. The superuser group created a significantly higher financial burden/person than any other group, comprising 0.3% of the study population, but over 6% of annual EMS charges and reimbursements. Conclusions. In this retrospective study, adult EMS "superusers" emerged as a distinct, predominantly male population and their EMS encounters were associated with alcohol use. Continued analysis of this unique, high-cost, and frequently transported population will likely illuminate specific intervention strategies.

Spinal motion restriction: an educational and implementation program to redefine prehospital spinal assessment and care.

INTRODUCTION: Prehospital spine immobilization has long been applied to victims of trauma in the United States and up to 5 million patients per year are immobilized mostly with a cervical collar and a backboard. OBJECTIVE: The training of paramedics and emergency medical technicians on the principals of spine motion restriction (SMR) will decrease the use of backboards. METHODS: The training for SMR emphasized the need to immobilize those patients with a significant potential for an unstable cervical spine fracture and to use alternative methods of maintaining spine precautions for those with lower risk. The training addressed the potential complications of the use of the unpadded backboard and education was provided about the mechanics of spine injuries. Emergency medical services (EMS} personnel were taught to differentiate between the critical multisystem trauma patients from the more common moderate, low kinetic energy trauma patients. A comprehensive education and outreach program that included all of the EMS providers (fire and private), hospitals, and EMS educational institutions was developed. RESULTS: Within 4 months of the policy implementation, prehospital care practitioners reduced the use of the backboard by 58%. This was accomplished by a decrease in the number of patients considered for SMR with low kinetic energy and the use of other methods, such as the cervical collar only. CONCLUSION: The implementation of a SMR training program significantly decreases the use of backboards and allows alternative methods of maintaining spine precautions.

Which emergency medical dispatch codes predict high prehospital nontransport rates in an urban community?

BACKGROUND: The Medical Priority Dispatch System (MPDS) is a commonly used computer-based emergency medical dispatch (EMD) system that is widely used to prioritize 9-1-1 calls and optimize resource allocation. There are five major priority classes used to dispatch 9-1-1 calls in the San Francisco System; Alpha codes are the lowest priority (lowest expected acuity) and Echo are the highest priority. OBJECTIVE: We sought to determine which MPDS dispatch codes are associated with high prehospital nontransport rates (NTRs). METHODS: All unique MPDS call categories from 2009 in a highly urbanized, two-tier advanced life support (ALS) system were sorted according to highest NTRs. There are many reasons for nontransport, such as "gone on arrival," and "patient denied transport." Those categories with greater than 100 annual calls were further evaluated. MPDS groups that included multiple categories with NTRs exceeding 25% were then identified and each category was analyzed. Results. EMS responded to a total of 81,437 calls in 2009, of which 18,851 were not transported by EMS. The majority of the NTRs were found among "cardiac/ respiratory arrest/death," "assault/sexual assaults," "unknown problem/man down," "traffic/transportation accidents," and "unconscious/fainting." "Cardiac or respiratory arrest/death -obvious death" (9B1) had the highest overall nontransport rate, 99.25% (1/134), most likely due to declaration of death. "Unknown problem -man down -medical alert notification" had the second highest NTR, 67.22% (138/421). However, Echo priority codes had the highest overall nontransport rates (45.45%) and Charlie had the lowest (13.84%). CONCLUSIONS: The nontransport rates of individual MPDS categories vary considerably and should be considered in any system design. We identified 52 unique call categories to have a 25% or greater NTR, 18 of which exceeded 40%. The majority of NTRs occurred among the "cardiac/respiratory arrest/death," "assault/sexual assaults," "unknown problem/man down," "traffic/transportation accidents," and "unconscious/fainting" categories. The higher the priority code within each subset (AB vs. CDE), the less likely the patient was to be transported. Charlie priority codes had a lower NTR than Delta, and Delta was lower than Echo. Charlie codes were therefore the strongest predictors of hospital transport, while Echo codes (highest priority) were those with the highest nontransport rates and were the worst predictors of hospital transport in the emergent subset.