Dispatch Categories as Indicators of Out-of-Hospital Time Critical Interventions and Associated Emergency Department Outcomes.

OBJECTIVES: Emergency medical services (EMS) systems increasingly grapple with rising call volumes and workforce shortages, forcing systems to decide which responses may be delayed. Limited research has linked dispatch codes, on-scene findings, and emergency department (ED) outcomes. This study evaluated the association between dispatch categorizations and time-critical EMS responses defined by prehospital interventions and ED outcomes. Secondarily, we proposed a framework for identifying dispatch categorizations that are safe or unsafe to hold in queue. METHODS: This retrospective, multi-center analysis encompassed all 9-1-1 responses from 8 accredited EMS systems between 1/1/2021 and 06/30/2023, utilizing the Medical Priority Dispatch System (MPDS). Independent variables included MPDS Protocol numbers and Determinant levels. EMS treatments and ED diagnoses/dispositions were categorized as time-critical using a multi-round consensus survey. The primary outcome was the proportion of EMS responses categorized as time-critical. A non-parametric test for trend was used to assess the proportion of time-critical responses Determinant levels. Based on group consensus, Protocol/Determinant level combinations with at least 120 responses (∼1 per week) were further categorized as safe to hold in queue (<1% time-critical intervention by EMS and <5% time-critical ED outcome) or unsafe to hold in queue (>10% time-critical intervention by EMS or >10% time-critical ED outcome). RESULTS: Of 1,715,612 EMS incidents, 6% (109,250) involved a time-critical EMS intervention. Among EMS transports with linked outcome data (543,883), 12% had time-critical ED outcomes. The proportion of time-critical EMS interventions increased with Determinant level (OMEGA: 1%, ECHO: 38%, p-trend < 0.01) as did time-critical ED outcomes (OMEGA: 3%, ECHO: 31%, p-trend < 0.01). Of 162 unique Protocols/Determinants with at least 120 uses, 30 met criteria for safe to hold in queue, accounting for 8% (142,067) of incidents. Meanwhile, 72 Protocols/Determinants met criteria for unsafe to hold, accounting for 52% (883,683) of incidents. Seven of 32 ALPHA level Protocols and 3/17 OMEGA level Protocols met the proposed criteria for unsafe to hold in queue. CONCLUSIONS: In general, Determinant levels aligned with time-critical responses; however, a notable minority of lower acuity Determinant level Protocols met criteria for unsafe to hold. This suggests a more nuanced approach to dispatch prioritization, considering both Protocol and Determinant level factors.

Prehospital Sepsis Recognition and Outcomes for Patients with Sepsis by Race and Ethnicity.

BACKGROUND: First medical contact for patients with sepsis often initiates in the prehospital setting, yet limited studies have explored the EMS sepsis recognition-mortality relationship. Racial and ethnic minority patients often have worse sepsis outcomes, yet the role of prehospital recognition in this inequity has not been explored. Our objective was to describe prehospital sepsis recognition and hospital mortality, with analysis by patient race and ethnicity. METHODS: Using linked EMS and hospital records from the 2021 ESO Data Collaborative, we retrospectively analyzed 9-1-1 EMS transports for adult patients with emergency department ICD-10 sepsis diagnosis codes. EMS sepsis recognition was defined as a primary or secondary sepsis impression, use of an electronic health record specialty sepsis form, or a prehospital sepsis alert. We used multivariable logistic regression to assess the association between EMS sepsis recognition and hospital mortality, adjusting for age, sex, race and ethnicity, scene socioeconomic status, and documented clinical characteristics: altered mental status, hypotension, tachypnea, tachycardia, fever. We conducted a secondary analysis of patients who were positive for the quick sequential organ failure assessment (qSOFA) using first prehospital vital signs. RESULTS: We analyzed 20,172 records for EMS-transported patients with diagnosed sepsis. Overall, 8% of patients were Black, 8% were Hispanic, and 72% were White. Prehospital sepsis recognition was 18%. Prehospital sepsis recognition was similar across racial and ethnic groups (Black: 17.2%, Hispanic: 17.4%, White: 18.1%) and adjusted odds of sepsis recognition did not differ between racial and ethnic groups. Overall mortality was 11% (2,186). Prehospital sepsis recognition was associated with a 18% reduction in adjusted odds of mortality (OR: 0.82, 95% CI: 0.70-0.94). Of patients who were qSOFA positive in the field (n = 2,168), EMS sepsis recognition was 32% and was similar across race and ethnicities. Adjusted odds of mortality were 0.68 (95% CI: 0.53-0.88) when sepsis was recognized in the prehospital setting. CONCLUSION: EMS identified sepsis in fewer than one in three patients even after limiting to those positive for qSOFA, without differences by race and ethnicity. EMS sepsis recognition was associated with reduced odds of mortality; however, Black patients remained at greater odds of death suggesting additional factors that warrant investigation.

Evaluating Firefighter On-Scene Decontamination Practices Using a National Fire Records Management System.

OBJECTIVE: This study describes firefighters' on-scene decontamination procedure use post-working fire and frequency of adherence to best practice. METHODS: This retrospective analysis of working fires was conducted using records from the ESO Data Collaborative (Austin, TX) national research database from January 1, 2021, to December 31, 2021. Documentation of decontamination procedures was examined among records with smoke or combustion products exposure. Firefighter and incident characteristics were evaluated. Descriptive statistics and univariable odds ratios were calculated. RESULTS: Among the 31,281 firefighters included in the study, 8.0% documented a fire-related exposure. Of those, 82% performed at least one on-scene decontamination procedure; 5% documented all decontamination procedures defined as best practices. The odds of documenting any decontamination procedure were significantly decreased among firefighters responding to incidents in rural areas compared with urban areas (odds ratio, 0.70). CONCLUSIONS: Fire personnel may not be taking all necessary decontamination steps post-working fires.

Racial, Ethnic, and Socioeconomic Disparities in Out-of-Hospital Pain Management for Patients With Long Bone Fractures.

STUDY OBJECTIVE: To evaluate racial and ethnic disparities in out-of-hospital analgesic administration, accounting for the influence of clinical characteristics and community socioeconomic vulnerability, among a national cohort of patients with long bone fractures. METHODS: Using the 2019-2020 ESO Data Collaborative, we retrospectively analyzed emergency medical services (EMS) records for 9-1-1 advanced life support transport of adult patients diagnosed with long bone fractures at the emergency department. We calculated adjusted odds ratios (aOR) and 95% confidence intervals (CI) for out-of-hospital analgesic administration by race and ethnicity, accounting for age, sex, insurance, fracture location, transport time, pain severity, and scene Social Vulnerability Index. We reviewed a random sample of EMS narratives without analgesic administration to identify whether other clinical factors or patient preferences could explain differences in analgesic administration by race and ethnicity. RESULTS: Among 35,711 patients transported by 400 EMS agencies, 81% were White, non-Hispanic, 10% were Black, non-Hispanic, and 7% were Hispanic. In crude analyses, Black, non-Hispanic patients with severe pain were less likely to receive analgesics compared with White, non-Hispanic patients (59% versus 72%; Risk Difference: -12.5%, 95% CI: -15.8% to -9.9%). After adjustment, Black, non-Hispanic patients remained less likely to receive analgesics compared with White, non-Hispanic patients (aOR:0.65, 95% CI:0.53 to 0.79). Narrative review identified similar rates of patients declining analgesics offered by EMS and analgesic contraindications across racial and ethnic groups. CONCLUSIONS: Among EMS patients with long bone fractures, Black, non-Hispanic patients were substantially less likely to receive out-of-hospital analgesics compared with White, non-Hispanic patients. These disparities were not explained by differences in clinical presentations, patient preferences, or community socioeconomic conditions.

Emergency medical services clinicians in the United States are increasingly exposed to death.

Introduction: Exposure to patient death places healthcare workers at increased risk for burnout and traumatic stress, yet limited data exist exploring exposure to death among emergency medical services (EMS) clinicians. Our objective was to describe changes in EMS encounters involving on-scene death from 2018 to 2021. Methods: We retrospectively analyzed deidentified EMS records for 9-1-1 responses from the ESO Data Collaborative from 2018 to 2021. We identified cases where patient dispositions of death on scene, with or without attempted resuscitation, and without EMS transport. A non-parametric test of trend was used to assess for monotonic increase in agency-level encounters involving on-scene death and the proportion of EMS clinicians exposed to ≥1 on-scene death. Results: We analyzed records from 1109 EMS agencies. These agencies responded to 4,286,976 calls in 2018, 5,097,920 calls in 2019, 4,939,651 calls in 2020, and 5,347,340 calls in 2021.The total number of encounters with death on scene rose from 49,802 in 2018 to 60,542 in 2019 to 76,535 in 2020 and 80,388 in 2021. Agency-level annual counts of encounters involving death on scene rose from a median of 14 (interquartile range [IQR], 4-40) in 2018 to 2023 (IQR, 6-63) in 2021 (P-trend < 0.001). In 2018, 56% of EMS clinicians responded to a call with death on scene, and this number rose to 63% of EMS clinicians in 2021 (P-trend < 0.001). Conclusion: From 2018 to 2021, EMS clinicians were increasingly exposed to death. This trend may be driven by COVID-19 and its effects on the healthcare system and reinforces the need for evidence-based death notification training to support EMS clinicians.

Patient Outcomes Based on the 2011 CDC Guidelines for Field Triage of Injured Patients.

BACKGROUND: The Centers for Disease Control and Prevention Guidelines for Field Triage of Injured Patients drive the destination decision for millions of emergency medical services (EMS)-transported trauma patients annually, yet limited information exists regarding performance and relationship with patient outcomes as a whole. OBJECTIVE: To evaluate the association of positive findings on Centers for Disease Control and Prevention Guidelines for Field Triage of Injured Patients with hospitalization and mortality. METHODS: This retrospective study included all 911 responses from the 2019 ESO Data Collaborative research dataset with complete Centers for Disease Control and Prevention Guidelines for Field Triage of Injured Patients and linked emergency department dispositions, excluding children and cardiac arrests prior to EMS arrival. Patients were categorized by Centers for Disease Control and Prevention Guidelines for Field Triage of Injured Patients step(s) met. Outcomes were hospitalization and emergency department or inhospital mortality. RESULTS: There were 86,462 records included: n = 65,967 (76.3%) met no criteria, n = 16,443 (19.0%) met one step (n = 1,571 [9.6%] vitals, n = 1,030 [6.3%] anatomy of injury, n = 993 [6.0%] mechanism of injury, and n = 12,849 [78.1%] special considerations), and n = 4,052 (4.7%) met multiple. Compared with meeting no criteria, hospitalization odds increased threefold for vitals (odds ratio [OR]: 3.07, 95% confidence interval [CI]: 2.77-3.40), fourfold for anatomy of injury (OR: 3.94, 95% CI: 3.48-4.46), twofold for mechanism of injury (OR: 2.00, 95% CI: 1.74-2.29), or special considerations (OR: 2.46, 95% CI: 2.36-2.56). Hospitalization odds increased ninefold when positive in multiple steps (OR: 8.97, 95% CI: 8.37-9.62). Overall, n = 84,473 (97.7%) had mortality data available, and n = 886 (1.0%) died. When compared with meeting no criteria, mortality odds increased 10-fold when positive in vitals (OR: 9.58, 95% CI: 7.30-12.56), twofold for anatomy of injury (OR: 2.34, 95% CI: 1.28-4.29), or special considerations (OR: 2.10, 95% CI: 1.71-2.60). There was no difference when only positive for mechanism of injury (OR: 0.22, 95% CI: 0.03-1.54). Mortality odds increased 23-fold when positive in multiple steps (OR: 22.7, 95% CI: 19.7-26.8). CONCLUSIONS: Patients meeting multiple Centers for Disease Control and Prevention Guidelines for Field Triage of Injured Patients steps were at greater risk of hospitalization and death. When meeting only one step, anatomy of injury was associated with greater risk of hospitalization; vital sign criteria were associated with greater risk of mortality.

Adverse events following emergent prehospital sedation of patients with behavioral emergencies: A retrospective cohort study.

Background: Patients presenting to emergency medical services (EMS) with behavioral emergencies may require emergent sedation to facilitate care, but concerns about sedation-related adverse events (AEs) exist. This study aimed to describe the frequency of AEs following emergent prehospital sedation with three types of sedative agents: ketamine, benzodiazepines and antipsychotics. Methods: This retrospective cohort study included patients ≥ 15 years who presented to 1031U.S. EMS agencies in calendar year 2019 with behavioral emergencies necessitating emergent prehospital sedation. Serious AEs (SAE) included cardiac arrest, invasive airway placement, and severe oxygen desaturation (<75%). Less-serious AEs included positive pressure ventilation, any oxygen desaturation (<90%), oropharyngeal or nasopharyngeal airway placement, and suctioning. The need for additional sedation was also assessed. Findings: Of 7973 patients, 1996 received ketamine; 4137 received a benzodiazepine; 1532 received an antipsychotic agent; and 308 received an indeterminant agent. Cardiac arrest occurred in 11 patients (0·1%) and any SAE occurred in 165 patients (2·1%). Invasive airway placement was more frequent with ketamine (40, 2·0%) compared with benzodiazepines (17, 0·4%) or antipsychotics (3, 0·2%). Oxygen desaturation below 75% also occurred more frequently with ketamine (51, 2·6%) than with benzodiazepines (52, 1·3%) or antipsychotics (14, 0·9%). Patients sedated with ketamine were less likely to require additional sedation. Propensity-matching to minimize potential confounding between patient condition, sedative choice and AEs did not meaningfully alter the results. Interpretation: Although SAEs were rare among patients receiving emergent prehospital sedation, prehospital clinicians should remain mindful of the potential risks and monitor patients closely. Funding: None.

Initial prehospital Rapid Emergency Medicine Score (REMS) to predict outcomes for COVID-19 patients.

OBJECTIVE: The Rapid Emergency Medicine Score (REMS) has not been widely studied for use in predicting outcomes of COVID-19 patients encountered in the prehospital setting. This study aimed to determine whether the first prehospital REMS could predict emergency department and hospital dispositions for COVID-19 patients transported by emergency medical services. METHODS: This retrospective study used linked prehospital and hospital records from the ESO Data Collaborative for all 911-initiated transports of patients with hospital COVID-19 diagnoses from July 1 to December 31, 2020. We calculated REMS with the first recorded prehospital values for each component. We calculated area under the receiver operating curve (AUROC) for emergency department (ED) mortality, ED discharge, hospital mortality, and hospital length of stay (LOS). We determined optimal REMS cut-points using test characteristic curves. RESULTS: Among 13,830 included COVID-19 patients, median REMS was 6 (interquartile range [IQR]: 5-9). ED mortality was <1% (n = 80). REMS ≥9 predicted ED death (AUROC 0.79). One-quarter of patients (n = 3,419) were discharged from the ED with an optimal REMS cut-point of ≤5 (AUROC 0.72). Eighteen percent (n = 1,742) of admitted patients died. REMS ≥8 optimally predicted hospital mortality (AUROC 0.72). Median hospital LOS was 8.3 days (IQR: 4.1-14.8 days). REMS ≥7 predicted hospitalizations ≥3 days (AUROC 0.62). CONCLUSION: Initial prehospital REMS was modestly predictive of ED and hospital dispositions for patients with COVID-19. Prediction was stronger for outcomes more proximate to the first set of emergency medical services (EMS) vital signs. These findings highlight the potential value of first prehospital REMS for risk stratification of individual patients and system surveillance for resource planning related to COVID-19.

Out-of-Hospital Ketamine: Indications for Use, Patient Outcomes, and Associated Mortality.

STUDY OBJECTIVE: To describe out-of-hospital ketamine use, patient outcomes, and the potential contribution of ketamine to patient death. METHODS: We retrospectively evaluated consecutive occurrences of out-of-hospital ketamine administration from January 1, 2019 to December 31, 2019 reported to the national ESO Data Collaborative (Austin, TX), a consortium of 1,322 emergency medical service agencies distributed throughout the United States. We descriptively assessed indications for ketamine administration, dosing, route, transport disposition, hypoxia, hypercapnia, and mortality. We reviewed cases involving patient death to determine whether ketamine could be excluded as a potential contributing factor. RESULTS: Indications for out-of-hospital ketamine administrations in our 11,291 patients were trauma/pain (49%; n=5,575), altered mental status/behavioral indications (34%; n=3,795), cardiovascular/pulmonary indications (13%; n=1,454), seizure (2%; n=248), and other (2%; n=219). The highest median dose was for altered mental status/behavioral indications at 3.7 mg/kg (interquartile range, 2.2 to 4.4 mg/kg). Over 99% of patients (n=11,274) were transported to a hospital. Following ketamine administration, hypoxia and hypercapnia were documented in 8.4% (n=897) and 17.2% (n=1,311) of patients, respectively. Eight on-scene and 120 in-hospital deaths were reviewed. Ketamine could not be excluded as a contributing factor in 2 on-scene deaths, representing 0.02% (95% confidence interval 0.00% to 0.07%) of those who received out-of-hospital ketamine. Among those with in-hospital data, ketamine could not be excluded as a contributing factor in 6 deaths (0.3%; 95% confidence interval 0.1% to 0.7%). CONCLUSION: In this large sample, out-of-hospital ketamine was administered for a variety of indications. Patient mortality was rare. Ketamine could not be ruled out as a contributing factor in 8 deaths, representing 0.07% of those who received ketamine.

Initial Prehospital Rapid Emergency Medicine Score (REMS) as a Predictor of Patient Outcomes.

Background: A standardized objective measure of prehospital patient risk of hospitalization or death is needed. The Rapid Emergency Medicine Score (REMS), a validated risk-stratification tool, has not been widely tested for prehospital use. This study's objective was to assess predictive characteristics of initial prehospital REMS for ED disposition and overall patient mortality. Methods: This retrospective analysis used linked prehospital and hospital data from the national ESO Data Collaborative. All 911 responses from 1/1/2019-12/31/2019 were included. REMS (0-26) was calculated using age and first prehospital values for: pulse rate, mean arterial pressure, respiratory rate, oxygen saturation, and Glasgow Coma Scale. Non-transports, patients <18 and cardiac arrests prior to EMS arrival were excluded. The primary outcome was ED disposition, dichotomized to discharge versus admission, transfer, or death. The secondary outcome was overall survival to discharge (ED or inpatient). Transfers and records without inpatient disposition were excluded from the secondary analysis. Predictive ability was assessed using area under the receiver operating curve (AUROC). Optimal REMS cut points were determined using test characteristic curves. Univariable logistic regression modeling was used to quantify the association between initial prehospital REMS and each outcome. Results: Of 579,505 eligible records, 94,640 (16%) were excluded due to missing data needed to calculate REMS. Overall, 62% (n = 298,223) of patients were discharged from the ED, 36% (n = 175,212) were admitted, 2% (n = 10,499) were transferred, and 0.2% (n = 931) died in the ED. A REMS of 5 or lower demonstrated optimal statistical prediction for ED discharge versus not discharged (admission/transfer/death) (AUROC: 0.68). Patients with initial prehospital REMS of 5 or lower showed a three-fold increase in odds of ED discharge (OR: 3.28, 95%CI: 3.24-3.32). Of the 457,226 patients included in overall mortality analysis, >98% (n = 450,112) survived. AUROC of initial prehospital REMS for overall mortality was 0.79. A score 7 or lower was statistically optimal for predicting survival. Initial prehospital REMS of 7 or lower was associated with a five-fold increase in odds of overall survival (OR:5.41, 95%CI:5.15-5.69). Conclusion: Initial prehospital REMS was predictive of ED disposition and overall patient mortality, suggesting value as a risk-stratification measure for EMS agencies, systems and researchers.

The Cincinnati Prehospital Stroke Scale Compared to Stroke Severity Tools for Large Vessel Occlusion Stroke Prediction.

BACKGROUND: Various screening tools, ranging in complexity, have been developed to predict large vessel occlusion (LVO) stroke in the prehospital setting. Our objective was to determine whether newly-developed LVO stroke scales offer a clinically-meaningful advantage over the Cincinnati Prehospital Stroke Scale (CPSS). METHODS: We retrospectively analyzed prehospital patient care records linked with hospital data from 151 EMS agencies in the United States, between January 1, 2018 and December 31, 2018. We compared the CPSS to the Rapid Arterial Occlusion Evaluation (RACE), Los Angeles Motor Scale (LAMS), and the Vision, Aphasia, Neglect (VAN) assessment for LVO prediction. For each stroke scale, we used the intersection of sensitivity and specificity curves to determine optimal prediction cut-points. We used area under the ROC curve and 95% confidence intervals to assess for differences in discriminative ability between scales. RESULTS: We identified 13,596 prehospital records with one or more documented stroke scales of interest. Among these, 4,228 patients were diagnosed with stroke. Over half (57%, n = 2,415) of patients diagnosed with stroke experienced an acute ischemic stroke. Of patients with ischemic stroke, 26% (n = 628) were diagnosed with LVO. A CPSS score of 2 or higher demonstrated sensitivity = 69% and specificity = 78% for LVO. A RACE score of 4 or higher demonstrated sensitivity = 63%, specificity = 73%. A LAMS score of 3 or higher demonstrated sensitivity = 63%, specificity = 72% and a positive VAN score demonstrated sensitivity = 86%, specificity = 65%. Comparing the area under the ROC curve for each scale revealed no statistically significant differences in discriminative ability for LVO stroke. CONCLUSIONS: In this large sample of real-world prehospital patient encounters, the CPSS demonstrated similar predictive performance characteristics compared to the RACE, LAMS, and VAN for detecting LVO stroke. Prior to implementing a specific screening tool, EMS agencies should evaluate ease of use and associated implementation costs. Scored 0-3, the simple, widely-used CPSS may serve as a favorable prehospital screening instrument for LVO detection with a cut-point of 2 or higher maximizing the tradeoff between sensitivity and specificity.

Evaluation of an Integrated Rescue Task Force Model for Active Threat Response.

OBJECTIVE: An integrated response to active threat events is essential to saving lives. Coordination of law enforcement officer (LEO) and emergency medical services (EMS) roles requires joint training, as maximizing survival is a shared responsibility. We sought to evaluate the performance of an integrated LEO-EMS Rescue Task Force (RTF) response to a simulated active shooter incident utilizing objective performance measures. METHODS: Following prior didactic training, we conducted a series of evaluation scenarios for EMS providers and patrol officers in our urban/suburban advanced life support EMS system (pop. 1,000,000). The scenario-tested command staff, LEOs tasked with neutralizing an active shooter threat, and two RTFs of LEOs and EMS providers each tasked with triage and treatment of 11 simulated casualties scattered over 2 office building floors totaling 13,000 square feet. Trained evaluators recorded performance on 30 objective data elements related to LEO-EMS operations/communication, time intervals, and trauma care. Data were analyzed using descriptive statistics and t-tests for between group comparisons. RESULTS: Over 18 days, 69 scenario events evaluated 388 EMS providers and 468 LEOs. Overall median (90th percentile) times in minutes from dispatch were: unified command established 4.1 (5.5), RTF assembled 9.4 (13.5), first victim contact 11.9 (16.5), first victim to internal casualty collection point (CCP) 16.6 (20.8), all victims ready for evacuation 21.6 (26.0). Life-saving interventions included tourniquet placed: 96% (95% CI 92-99) and LEO placed tourniquet: 88% (79-94). Clinical delays included inappropriate chest decompression: 4% (2-9) and unnecessary initial treatment: 17% (12-25). Correct operational actions included communication with LEO to ensure EMS was safe to treat: 70% (61-77) and appropriate CCP selection: 84% (74-91). Incorrect operational actions included failure to maintain protective LEO-EMS formation: 49% (45-62) and inappropriate single patient evacuation: 20% (14-28). Limitations included the lack of a pre-training control group for this novel program. CONCLUSIONS: We described the performance of an integrated LEO-EMS Rescue Task Force response to a simulated active shooter event in a large city. In general, clinical care was appropriate while operational targets can be improved. Objective measurement of response goals may be used for benchmarking and performance improvement for active threat events.

Acute Crisis Care for Patients with Mental Health Crises: Initial Assessment of an Innovative Prehospital Alternative Destination Program in North Carolina.

OBJECTIVE: Emergency Departments (ED) are overburdened with patients experiencing acute mental health crises. Pre-hospital transport by Emergency Medical Services (EMS) to community mental health and substance abuse treatment facilities could reduce ED utilization and costs. Our objective was to describe characteristics, treatment, and outcomes of acute mental health crises patients who were transported by EMS to an acute crisis unit at WakeBrook, a North Carolina community mental health center. METHODS: We performed a retrospective cohort study of patients diverted to WakeBrook by EMS from August 2013-July 2014. We abstracted data from WakeBrook medical records and used descriptive statistics to quantify patient characteristics, diagnoses, length of stay (LOS), and 30-day recidivism. RESULTS: A total of 226 EMS patients were triaged at WakeBrook. The median age was 38 years, 55% were male, 58% were white, and 38% were uninsured. The most common chief complaints were suicidal ideation or self-harm (46%) and substance abuse (19%). The most common diagnoses were substance-related and addictive disorders (42%), depressive disorders (32%), and schizophrenia spectrum and other psychotic disorders (22%). Following initial evaluation, 28% of patients were admitted to facilities within WakeBrook, 40% were admitted to external psychiatric facilities, 18% were stabilized and discharged home, 5% were transferred to an ED within 4 hours for further medical evaluation, and 5% refused services. The median LOS at WakeBrook prior to disposition was 12.0 hours (IQR 5.4-21.6). Over a 30-day follow-up period, 60 patients (27%) had a return visit to the ED or WakeBrook for a mental health issue. CONCLUSIONS: A dedicated community mental health center is able to treat patients experiencing acute mental health crises. LOS times were significantly shorter compared to regional EDs. Successful broader programmatic implementation could improve care quality and significantly reduce the volume of patients treated in the ED for acute mental health disorders.

Improving Decisions About Transport to the Emergency Department for Assisted Living Residents Who Fall.

Background: Residents of assisted living facilities who fall may not be seriously ill or injured, but policies often require immediate transport to an emergency department regardless of the patient's condition. Objective: To determine whether unnecessary transport can be avoided. Design: Prospective cohort study. Setting: One large county with a single system of emergency medical services. Participants: Convenience sample of residents in 22 assisted living facilities served by 1 group of primary care physicians. Intervention: Paramedics providing emergency medical services followed a protocol that included consulting with a physician by telephone. Measurements: The number of transports after a fall and the number of time-sensitive conditions in nontransported patients. Results: Of the 1473 eligible residents, 953 consented to participate in the study (mean age, 86 years; 76% female) and 359 had 840 falls in 43 months. The protocol recommended nontransport after 553 falls. Eleven of these patients had a time-sensitive condition. At least 7 of them received appropriate care: 4 requested and received transport despite the protocol recommendation, and 3 had minor injuries that were successfully managed on site. Three additional patients had fractures that were diagnosed by outpatient radiography. The final patient developed vomiting and diarrhea, started palliative care, and died 60 hours after the fall. At least 549 of the 553 patients (99.3% [95% CI, 98.2% to 99.8%]) with a protocol recommendation for nontransport received appropriate care. Limitation: The resources required for this program will preclude use in some locations. Conclusion: Shared decision making between paramedics and primary care physicians can prevent transport to the emergency department for many residents of assisted living facilities who fall. Primary Funding Source: None.

Innovative Care Model to Improve Clinical Quality and Safety of Transitional Care: Early Outcomes.

One in five elderly patients returns to the hospital within 30 days of leaving. These rehospitalizations are a common and costly occurrence. A program developed to address problems in post-acute transitional care seems to be effective in reducing 30-day readmission rates for some Medicare fee-for-service beneficiaries.

Mobile Integrated Healthcare: Preliminary Experience and Impact Analysis with a Medicare Advantage Population.

Background: Mobile Integrated Healthcare (MIH) is a novel, patient-centered approach to population management. This concept creates a needs-matched, time appropriate assignment of one or more members of a multi-professional clinical team to care for patients on a scheduled or unscheduled basis. The selection of the site of care for scheduled interventions is driven by patient choice and, most often occurs in the patient's home; unscheduled interventions are guided by a 5-point triage system and, based on acuity, may be treated in the home, primary care office, urgent care or, rarely, in an emergency department. Methods: An MIH team was assigned to deliver a care coordination program for a Medicare Advantage PPO (MAPPO) population (55% female, 71.2 years mean age), with risk assignment and interventions designed to affect potentially avoidable utilization of Emergency Medical Services (EMS), emergency department, and medical inpatient admissions. Patients participating in the MIH program were compared with contemporaneous, risk-matched non-participants as well as to actuarially expected cost and utilization based on historical claim experience. Results: All measured trends demonstrated favorable results for patients participating in the MIH program when compared against a matched cohort: 19% decrease in emergency department per member per month (PMPM) cost, 21% decrease in emergency department utilization, 37% decrease in inpatient PMPM cost, 40% decrease inpatient utilization, all measures reached statistical significance. Member experience satisfaction scores and patient activation measures also showed favorable preliminary trends. Conclusion: This initial impact analysis of a MIH care coordination program for this MAPPO population demonstrates promising trends regarding utilization, cost, member experience and patient activation. These preliminary findings indicate both that implementation of such a program is feasible and strongly suggest meritorious impacts upon the health, experience and cost of care for the population.

National Prehospital Evidence-Based Guidelines Strategy: A Summary for EMS Stakeholders.

Multiple national organizations have recommended and supported a national investment to increase the scientific evidence available to guide patient care delivered by Emergency Medical Services (EMS) and incorporate that evidence directly into EMS systems. Ongoing efforts seek to develop, implement, and evaluate prehospital evidence-based guidelines (EBGs) using the National Model Process created by a multidisciplinary panel of experts convened by the Federal Interagency Committee on EMS (FICEMS) and the National EMS Advisory Council (NEMSAC). Yet, these and other EBG efforts have occurred in relative isolation, with limited direct collaboration between national projects, and have experienced challenges in implementation of individual guidelines. There is a need to develop sustainable relationships among stakeholders that facilitate a common vision that facilitates EBG efforts. Herein, we summarize a National Strategy on EBGs developed by the National Association of EMS Physicians (NAEMSP) with involvement of 57 stakeholder organizations, and with the financial support of the National Highway Traffic Safety Administration (NHTSA) and the EMS for Children program. The Strategy proposes seven action items that support collaborative efforts in advancing prehospital EBGs. The first proposed action is creation of a Prehospital Guidelines Consortium (PGC) representing national medical and EMS organizations that have an interest in prehospital EBGs and their benefits to patient outcomes. Other action items include promoting research that supports creation and evaluates the impact of EBGs, promoting the development of new EBGs through improved stakeholder collaboration, and improving education on evidence-based medicine for all prehospital providers. The Strategy intends to facilitate implementation of EBGs by improving guideline dissemination and incorporation into protocols, and seeks to establish standardized evaluation methods for prehospital EBGs. Finally, the Strategy proposes that key stakeholder organizations financially support the Prehospital Guidelines Consortium as a means of implementing the Strategy, while together promoting additional funding for continued EBG efforts.

Transitions of Care Model Inclusive of Unplanned Care Improves the Patient Experience.

A major emphasis in health care is creating an experience whereby patients receive the right care at the right time from the right provider in the right setting at the right cost. Over the past several decades, there has been considerable effort in the area of medical management, with prior authorization, gatekeeper utilization management regimens, and other techniques designed to guide patients and caregivers into desired treatment pathways. Alternatively, the concept of demand management may be employed to achieve these desired outcomes by giving patients meaningful, expanded choices beyond traditional acute-care settings. The implementation of a novel, patient-centered, unplanned care delivery model is described along with illustrative case studies.

Retrospective Validation of a Protocol to Limit Unnecessary Transport of Assisted-living Residents Who Fall.

Abstract Objective. Emergency medical services (EMS) often transports patients who suffer simple falls in assisted-living facilities (ALFs). An EMS "falls protocol" could avoid unnecessary transport for many of these patients, while ensuring that patients with time-sensitive conditions are transported. Our objective was to retrospectively validate an EMS protocol to assist decision making regarding the transport of ALF patients with simple falls. Methods. We conducted a retrospective cohort study of patients transported to the emergency department from July 2010 to June 2011 for a chief complaint of "fall" within a subset of ALFs served by a specific primary care group in our urban EMS system (population 900,000). The primary outcome, "time-sensitive intervention" (TSI), was met by patients who had wound repair or fracture, admission to the ICU, OR, or cardiac cath lab, death during hospitalization, or readmission within 48 hours. EMS and primary care physicians developed an EMS protocol, a priori and by consensus, to require transport for patients needing TSI. The protocol utilizes screening criteria, including history and exam findings, to recommend transport versus nontransport with close primary care follow-up. The EMS protocol was retrospectively applied to determine which patients required transport. Protocol performance was estimated using sensitivity, specificity, and negative predictive value (NPV). Results. Of 653 patients transported across 30 facilities, 644 had sufficient data. Of these, 197 (31%) met the primary outcome. Most patients who required TSI had fracture (73) or wound repair (92). The EMS protocol identified 190 patients requiring TSI, for a sensitivity of 96% (95% CI: 93-98%), specificity of 54% (95% CI: 50-59%), and NPV of 97% (95% CI: 94-99%). Of 7 patients with false negatives, 3 were readmitted (and redischarged) after another fall, 3 sustained hip fractures that were surgically repaired, and 1 had a lumbar compression fracture and was discharged. Conclusions. In this cohort, two-thirds of patients with falls in ALFs did not require TSI. An EMS protocol may have sufficient sensitivity to safely allow for nontransport of these patients with falls in ALFs. Prospective validation of the protocol is necessary to test this hypothesis.