Effectiveness of a Novel Rapid Infusion Device and Clinician Education for Early Fluid Therapy by Emergency Medical Services in Sepsis Patients: A Pre-Post Observational Study.

OBJECTIVE: Emergency medical services (EMS) clinicians are tasked with early fluid resuscitation for patients with sepsis. Traditional methods for prehospital fluid delivery are limited in speed and ease-of-use. We conducted a comparative effectiveness study of a novel rapid infusion device for prehospital fluid delivery in suspected sepsis patients. METHODS: This pre-post observational study evaluated a hand-operated, rapid infusion device in a single large EMS system from July 2021-July 2022. Prior to device deployment, EMS clinicians completed didactic and simulation-based device training. Data were extracted from the EMS electronic health record. Eligible patients included adults with suspected sepsis treated by EMS with intravenous fluids. The primary outcome was the proportion of patients receiving goal fluid volume (at least 500 mL) prior to hospital arrival. Secondary outcomes included in-hospital mortality, disposition, and length of stay. Multivariable logistic regression was used to compare outcomes between 6-month pre- and post-implementation periods (July-December 2021 and February-July 2022, respectively), adjusting for patient demographics, abnormal prehospital vital signs, and EMS transport interval. RESULTS: Of 1,180 eligible patients (552 in the pre-implementation period; 628 in the post-implementation period), the mean age was 72 years old, 45% were female, and 25% were minority race-ethnicity. Median (interquartile range) fluid volume (in mL) increased between the pre- and post-implementation periods (600 [400,1,000] and 850 [500-1,000], respectively). Goal fluid volume was achieved in 70% of pre-implementation patients and 82% of post-implementation patients. In adjusted analysis, post-implementation patients were significantly more likely to receive goal fluid volume than pre-implementation patients (adjusted odds ratio (aOR) 2.00, 95% confidence interval (CI) 1.51-2.66). Pre-post in-hospital mortality was not significantly different (aOR 0.91, 95% CI 0.59-1.39). CONCLUSION: In a single EMS system, sepsis education and introduction of a rapid infusion device was associated with achieving goal fluid volume for suspected sepsis. Further research is needed to assess the clinical effectiveness of infusion device implementation to improve sepsis patient outcomes.

Transition of care from the emergency department to skilled nursing facility: Retrospective case-control study.

Objective: The primary objective of this study is to describe associations between emergency department (ED)-to-skilled nursing facility (SNF) transition and ED length-of-stay (LOS). The secondary objective is to explore how social determinants of health (SDOH) influence ED-to-SNF transition visit parameters. In 2020, The Centers for Medicare & Medicaid Services issued the "COVID-19 Emergency Declaration Blanket Waivers for Health Care Providers" eliminating the requirement of a 3-day qualifying hospital stay before SNF placement. The waiver allowed ED patients to be transitioned directly to an SNF from the ED. Methods: We conducted a descriptive retrospective case-control study of adult patients who sought care in the University of North Carolina Hospitals (UNCH) ED between March 1, 2020, and March 1, 2022, lived in a non-SNF residence before their ED visit, and were transitioned directly to an SNF from the ED (n 1 = 27), compared with a group seen in the ED and admitted to hospital for SNF placement (n 2 = 54). Results: The ED-to-SNF group experienced a significantly longer ED LOS compared to the ED-to-Inpatient-to-SNF group: 72.8 hours (95% confidence interval [CI], 59.2-86.4) compared to 14.5 hours (95% CI, 12.1-16.9). We found no significant differences in SDOH between the ED-to-SNF group and the ED-to-Inpatient-to-SNF group. Conclusion: Patients who transition from the ED to an SNF experience long ED stays that may adversely affect health and well-being. Transitioning directly from the ED to an SNF may contribute to ED boarding and overcrowding.

Community Socioeconomic and Urban-Rural Disparities in Prehospital Notification of Stroke by Emergency Medical Services in North Carolina.

OBJECTIVES: Notification by emergency medical services (EMS) to the destination hospital of an incoming suspected stroke patient is associated with timelier in-hospital evaluation and treatment. Current data on adherence to this evidence-based best practice are limited, however. We examined the frequency of EMS stroke prenotification in North Carolina by community socioeconomic status (SES) and rurality. METHODS: Using a statewide database of EMS patient care reports, we selected 9-1-1 responses in 2019 with an EMS provider impression of stroke or documented stroke care protocol use. Eligible patients were 18 years old and older with a completed prehospital stroke screen. Incident street addresses were geocoded to North Carolina census tracts and linked to American Community Survey socioeconomic data and urban-rural commuting area codes. High, medium, and low SES tracts were defined by SES index tertiles. Tracts were classified as urban, suburban, and rural. We used multivariable logistic regression to estimate independent associations between tract-level SES and rurality with EMS prenotification, adjusting for patient age, sex, and race/ethnicity; duration of symptoms; incident day of week and time of day; 9-1-1 dispatch complaint; EMS provider primary impression; and prehospital stroke screen interpretation. RESULTS: The cohort of 9527 eligible incidents was mostly at least 65 years old (65%), female (55%), and non-Hispanic White (71%). EMS prenotification occurred in 2783 (29%) patients. Prenotification in low SES tracts (27%) occurred less often than in medium (30%) and high (32%) SES tracts. Rural tracts had the lowest frequency (21%) compared with suburban (28%) and urban (31%) tracts. In adjusted analyses, EMS prenotification was less likely in low SES (vs high SES; odds ratio 0.76, 95% confidence interval 0.67-0.88) and rural (vs urban; odds ratio 0.64, 95% confidence interval 0.52-0.77) tracts. CONCLUSIONS: Across a large, diverse population, EMS prenotification occurred in only one-third of suspected stroke patients. Furthermore, low SES and rural tracts were independently associated with a lower likelihood of prehospital notification. These findings suggest the need for education and quality improvement initiatives to increase EMS stroke prenotification, particularly in underserved communities.

Prehospital Fluid Administration for Suspected Sepsis in a Large EMS System: Opportunities to Improve Goal Fluid Delivery.

OBJECTIVES: Despite EMS-implemented screening and treatment protocols for suspected sepsis patients, prehospital fluid therapy is variable. We sought to describe prehospital fluid administration in suspected sepsis patients, including demographic and clinical factors associated with fluid outcomes. METHODS: A retrospective cohort of adult patients from a large, county-wide EMS system from January 2018-February 2020 was identified. Patient care reports for suspected sepsis were included, as identified by EMS clinician impression of sepsis, or keywords "sepsis" or "septic" in the narrative. Outcomes were the proportions of suspected sepsis patients for whom intravenous (IV) therapy was attempted and those who received ≥500 mL IV fluid if IV access was successful. Associations between patient demographics and clinical factors with fluid outcomes were estimated with multivariable logistic regression adjusting for transport interval. RESULTS: Of 4,082 suspected sepsis patients identified, the mean patient age was 72.5 (SD 16.2) years, 50.6% were female, and 23.8% were Black. Median (interquartile range [IQR]) transport interval was 16.5 (10.9-23.2) minutes. Of identified patients, 1,920 (47.0%) had IV fluid therapy attempted, and IV access was successful in 1,872 (45.9%). Of those with IV access, 1,061 (56.7%) received ≥500mL of fluid from EMS. In adjusted analyses, female (versus male) sex (odds ratio [OR] 0.79, 95% confidence interval [CI] 0.69-0.90), Black (versus White) race (OR 0.57, 95% CI 0.49-0.68), and end stage renal disease (OR 0.51, 95% CI 0.32-0.82) were negatively associated with attempted IV therapy. Systolic blood pressure (SBP) <90 mmHg (OR 3.89, 95% CI 3.25-4.65) and respiratory rate >20 (OR 1.90, 95% CI 1.61-2.23) were positively associated with attempted IV therapy. Female sex (OR 0.72, 95% CI 0.59-0.88) and congestive heart failure (CHF) (OR 0.55, 95% CI 0.40-0.75) were negatively associated with receiving goal fluid volume while SBP <90 mmHg (OR 2.30, 95% CI 1.83-2.88) and abnormal temperature (>100.4 F or <96 F) (OR 1.41, 95% CI 1.16-1.73) were positively associated. CONCLUSIONS: Fewer than half of EMS sepsis patients had IV therapy attempted, and of those, approximately half met fluid volume goal, especially when hypotensive and no CHF. Further studies are needed on improving EMS sepsis training and prehospital fluid delivery.

A Natural Language Processing and Machine Learning Approach to Identification of Incidental Radiology Findings in Trauma Patients Discharged from the Emergency Department.

STUDY OBJECTIVE: Patients undergoing diagnostic imaging studies in the emergency department (ED) commonly have incidental findings, which may represent unrecognized serious medical conditions, including cancer. Recognition of incidental findings frequently relies on manual review of textual radiology reports and can be overlooked in a busy clinical environment. Our study aimed to develop and validate a supervised machine learning model using natural language processing to automate the recognition of incidental findings in radiology reports of patients discharged from the ED. METHODS: We performed a retrospective analysis of computed tomography (CT) reports from trauma patients discharged home across an integrated health system in 2019. Two independent annotators manually labeled CT reports for the presence of an incidental finding as a reference standard. We used regular expressions to derive and validate a random forest model using open-source and machine learning software. Final model performance was assessed across different ED types. RESULTS: The study CT reports were divided into derivation (690 reports) and validation (282 reports) sets, with a prevalence of incidental findings of 22.3%, and 22.7%, respectively. The random forest model had an area under the curve of 0.88 (95% confidence interval [CI], 0.84 to 0.92) on the derivation set and 0.92 (95% CI, 0.88 to 0.96) on the validation set. The final model was found to have a sensitivity of 92.2%, a specificity of 79.4%, and a negative predictive value of 97.2%. Similarly, strong model performance was found when stratified to a dedicated trauma center, high-volume, and low-volume community EDs. CONCLUSION: Machine learning and natural language processing can classify incidental findings in CT reports of ED patients with high sensitivity and high negative predictive value across a broad range of ED settings. These findings suggest the utility of natural language processing in automating the review of free-text reports to identify incidental findings and may facilitate interventions to improve timely follow-up.

Community socioeconomic and urban-rural differences in emergency medical services times for suspected stroke in North Carolina.

OBJECTIVE: Our objectives were to describe time intervals of EMS encounters for suspected stroke patients in North Carolina (NC) and evaluate differences in EMS time intervals by community socioeconomic status (SES) and rurality. METHODS: This cross-sectional study used statewide data on EMS encounters of suspected stroke in NC in 2019. Eligible patients were adults requiring EMS transport to a hospital following a 9-1-1 call for stroke-like symptoms. Incident street addresses were geocoded to census tracts and linked to American Community Survey SES data and to rural-urban commuting area (RUCA) codes. Community SES was defined as high, medium, or low based on tertiles of an SES index. Urban, suburban, and rural tracts were defined by RUCA codes 1, 2-6, and 7-10, respectively. Multivariable quantile regression was used to estimate how the median and 90th percentile of EMS time intervals varied by community SES and rurality, adjusting for each other; patient age, gender, and race/ethnicity; and incident characteristics. RESULTS: We identified 17,117 eligible EMS encounters of suspected stroke from 2028 census tracts. The population was 65% 65+ years old; 55% female; and 69% Non-Hispanic White. Median response, scene, and transport times were 8 (interquartile range, IQR 6-11) min, 16 (IQR 12-20) min, and 14 (IQR 9-22) minutes, respectively. In quantile regression adjusted for patient demographics, minimal differences were observed for median response and scene times by community SES and rurality. The largest median differences were observed for transport times in rural (6.7 min, 95% CI 5.8, 7.6) and suburban (4.7 min, 95% CI 4.2, 5.1) tracts compared to urban tracts. Adjusted rural-urban differences in 90th percentile transport times were substantially greater (16.0 min, 95% CI 14.5, 17.5). Low SES was modesty associated with shorter median (-3.3 min, 95% CI -3.8, -2.9) and 90th percentile (-3.0 min, 95% CI -4.0, -2.0) transport times compared to high SES tracts. CONCLUSIONS: While community-level factors were not strongly associated with EMS response and scene times for stroke, transport times were significantly longer rural tracts and modestly shorter in low SES tracts, accounting for patient demographics. Further research is needed on the role of community socioeconomic deprivation and rurality in contributing to delays in prehospital stroke care.

A 7 Year Summary of Emergency Department Visits by Patients With Mental Health Disorders.

OBJECTIVES: Emergency departments (EDs) have been increasingly utilized over time for psychiatric care. While multiple studies have assessed these trends in nationally representative data, few have evaluated these trends in state-level data. This investigation seeks to understand the mental health-related ED burden in North Carolina (NC) by describing trends in ED visits associated with a mental health diagnosis (MHD) over time. METHODS: Using data from NC DETECT, this investigation describes trends in NC ED visits from January 1, 2008 through December 31, 2014 by presence of a MHD code. A visit was classified by the first listed MHD ICD-9-CM code in the surveillance record and MHD codes were grouped into related categories for analysis. Visits were summarized by MHD status and by MHD category. RESULTS: Over 32 million ED visits were recorded from 2008 to 2014, of which 3,030,746 (9.4%) were MHD-related visits. The average age at presentation for MHD-related visits was 50 years (SD 23.5) and 63.9% of visits were from female patients. The proportion of ED visits with a MHD increased from 8.3 to 10.2% from 2008 to 2014. Annually and overall, the largest diagnostic category was stress/anxiety/depression. Hospital admissions resulting from MHD-related visits declined from 32.2 to 18.5% from 2008 to 2014 but remained consistently higher than the rate of admissions among non-MHD visits. CONCLUSION: Similar to national trends, the proportion of ED visits associated with a MHD in NC has increased over time. This indicates a need for continued surveillance, both stateside and nationally, in order to inform future efforts to mitigate the growing ED burden.

Identification of social determinants of health using multi-label classification of electronic health record clinical notes.

OBJECTIVES: Social determinants of health (SDH), key contributors to health, are rarely systematically measured and collected in the electronic health record (EHR). We investigate how to leverage clinical notes using novel applications of multi-label learning (MLL) to classify SDH in mental health and substance use disorder patients who frequent the emergency department. METHODS AND MATERIALS: We labeled a gold-standard corpus of EHR clinical note sentences (N = 4063) with 6 identified SDH-related domains recommended by the Institute of Medicine for inclusion in the EHR. We then trained 5 classification models: linear-Support Vector Machine, K-Nearest Neighbors, Random Forest, XGBoost, and bidirectional Long Short-Term Memory (BI-LSTM). We adopted 5 common evaluation measures: accuracy, average precision-recall (AP), area under the curve receiver operating characteristic (AUC-ROC), Hamming loss, and log loss to compare the performance of different methods for MLL classification using the F1 score as the primary evaluation metric. RESULTS: Our results suggested that, overall, BI-LSTM outperformed the other classification models in terms of AUC-ROC (93.9), AP (0.76), and Hamming loss (0.12). The AUC-ROC values of MLL models of SDH related domains varied between (0.59-1.0). We found that 44.6% of our study population (N = 1119) had at least one positive documentation of SDH. DISCUSSION AND CONCLUSION: The proposed approach of training an MLL model on an SDH rich data source can produce a high performing classifier using only unstructured clinical notes. We also provide evidence that model performance is associated with lexical diversity by health professionals and the auto-generation of clinical note sentences to document SDH.

Barriers to Discharge in Geriatric Long Staying Inpatient and Emergency Department Admissions: A Descriptive Study.

BACKGROUND: This study describes long length of stay during emergency department (ED) visits and hospital admissions, barriers to discharge, and discharge solutions for geriatric patients. METHODS: We conducted a retrospective medical record review of a random sample of 150 ED patients and 150 inpatients with long length of stay (LOS) encounters. Cohorts were characterized by demographics, social determinants of health (e.g., health insurance, housing), medical comorbidities at admission, discharge care coordination, and final disposition. RESULTS: In the ED, the primary barrier to discharge was inadequate inpatient bed availability (63%). In the inpatient setting, barriers to discharge were predominantly due to a demonstrated medical requirement for continued hospitalization (55%), followed by difficulty with coordinating discharge to a skilled nursing facility or rehabilitation center (22%). DISCUSSION: Among long LOS ED patients, discharge delays were often the result of unavailable inpatient beds and services. Reducing the LOS for ED patients may require further investigation as to which hospital services are most frequently utilized by geriatric patients and structuring inpatient bed allocation to prevent extended patient boarding in the ED. Reducing long inpatient LOS may require early identification of high-risk patients and strengthening of relationships with community-based services.

Disparities in Emergency Medical Services Time Intervals for Patients with Suspected Acute Coronary Syndrome: Findings from the North Carolina Prehospital Medical Information System.

Background Timely emergency medical services (EMS) response, management, and transport of patients with suspected acute coronary syndrome (ACS) significantly reduce delays to emergency treatment and improve outcomes. We evaluated EMS response, scene, and transport times and adherence to proposed time benchmarks for patients with suspected ACS in North Carolina from 2011 to 2017. Methods and Results We conducted a population-based, retrospective study with the North Carolina Prehospital Medical Information System, a statewide electronic database of all EMS patient care reports. We analyzed 2011 to 2017 data on patient demographics, incident characteristics, EMS care, and county population density for EMS-suspected patients with ACS, defined as a complaint of chest pain or suspected cardiac event and documentation of myocardial ischemia on prehospital ECG or prehospital activation of the cardiac care team. Descriptive statistics for each EMS time interval were computed. Multivariable logistic regression was used to quantify relationships between meeting response and scene time benchmarks (11 and 15 minutes, respectively) and prespecified covariates. Among 4667 patients meeting eligibility criteria, median response time (8 minutes) was shorter than median scene (16 minutes) and transport (17 minutes) time. While scene times were comparable by population density, patients in rural (versus urban) counties experienced longer response and transport times. Overall, 62% of EMS encounters met the 11-minute response time benchmark and 49% met the 15-minute scene time benchmark. In adjusted regression analyses, EMS encounters of older and female patients and obtaining a 12-lead ECG and venous access were independently associated with lower adherence to the scene time benchmark. Conclusions Our statewide study identified urban-rural differences in response and transport times for suspected ACS as well as patient demographic and EMS care characteristics related to lower adherence to scene time benchmark. Strategies to reduce EMS scene times among patients with ACS need to be developed and evaluated.

Opportunities for Emergency Medical Services Intervention to Prevent Opioid Overdose Mortality.

OBJECTIVES: The opioid crisis is a growing cause of mortality in the United States and may be mitigated by innovative approaches to identifying individuals at-risk of fatal opioid overdose. We examined Emergency Medical Services (EMS) utilization among a cohort of individuals who died from opioid overdose in order to identify potential opportunities for intervention. Methods: Individuals who died of unintentional opioid overdose in a large North Carolina county between 01/01/2014 and 12/31/2016 were studied in a retrospective cohort. Death records obtained from North Carolina Vital Records were linked to EMS patient care records obtained from the county EMS System in order to describe the EMS encounters of each decedent in the year preceding their death. Patient demographics and EMS encounters were assessed to identify encounter characteristics that may be targeted for intervention. Chi-square tests and odds ratios were used to evaluate and characterize the statistical significance of differences in EMS utilization. Results: Of the 218 individuals who died from unintentional opioid overdose in the study interval, 30% (n = 66) utilized EMS in the year before their death and 17% (n = 38) had at least one EMS encounter with documented drug or alcohol use (i.e. "drug-related encounter"). The mean age at death was 38 (range 19-74) years, 30% were female, 89% were White, and 8% were Black/African American. Factors associated with higher incidence of EMS utilization included age (P<.001), gender (P=.006), and race (P<.001). Decedents aged 56-65 had the highest EMS utilization (47%) and patients aged <25 and 25-35 had more drug-related EMS encounters (29% and 20%, respectively). The most common reasons for EMS utilization were "other medical" (27%), "non-traumatic pain" (20%), "traumatic injury" (16%), and "poisoning/drug ingestion" (14%). Drug or alcohol use was documented by EMS in 33% of all encounters and an opioid prescription was reported in 22% of encounters. Conclusions: Nearly one-third of individuals who died from accidental opioid overdose utilized EMS in the year before their death and nearly one-fifth had a drug-related encounter. EMS encounters may present an opportunity to identify individuals at-risk of opioid overdose and, ultimately, reduce overdose mortality.

COVID-19 Pandemic: The Role of EMS Physicians in a Community Response Effort.

The COVID-19 pandemic is a worldwide historical event that will continue to affect nearly every aspect of ordinary life, including affecting our economic, political, and healthcare eco-systems. An effective pandemic response demands a coordinated and integrated response across community healthcare stakeholders, including Public Health and Emergency Management Officials. EMS systems are in a unique position and perform an essential role on the frontlines of COVID-19, including facilitating coordination of response efforts to COVID-19 within their communities while supporting public health mitigation efforts to slow the spread of the SARS-CoV-2. EMS physicians serve their communities at a unique intersection as clinical leaders, population health experts, and advocates. This paper examines and recommends crucial roles for EMS physician leaders as communities work together in pandemic response.

Characteristics, clinical care, and disposition barriers for mental health patients boarding in the emergency department.

BACKGROUND AND OBJECTIVES: Lack of mental health resources, such as inpatient psychiatric beds, has increased frequency and duration of boarding for mental health patients presenting to U.S. emergency departments (EDs). The purpose of this study is to describe characteristics of mental health patients with an ED length of stay of one week or longer and to identify barriers to their disposition. METHODS: This study was conducted in an academic ED in which emergency psychiatric evaluations and care are provided by a Psychiatric Emergency Services (PES) team contained within the Department of Emergency Medicine. Prolonged boarding was defined as an ED length of stay of 7 days or more. Pediatric, adult, and geriatric mental health patients with prolonged ED boarding from January 1 to August 31, 2019 were included. This study includes prospective data collection of the boarding group and retrospective identification and data collection of a comparison group of non-barding patients over the same 8-month period to compare patient characteristics and outcomes for each group. RESULTS: Between January 1 and August 31, 2019, the PES team completed 2,745 new assessments of mental health patients, of whom 39 met criteria for prolonged ED boarding. The following characteristics were associated with boarding: child (8%), male (64%), having Medicaid (49%) or both Medicaid and Medicare (18%), and having either a neurodevelopmental (15%) or neurocognitive disorder (15%) with a median stay of 18 days. Barriers to discharge included being declined from all state inpatient psychiatric hospitals (69%), declined from community living environments (21%), or declined from both (10%). The most common ED non-boarding patients were: Caucasian (64%), have a diagnosis of unspecified mental disorder (including suicidal ideation) or other specified mental disorder (59%) and have private insurance (42%) with a median stay of 1 day. CONCLUSION: In this study of mental health patients with prolonged ED stays, the primary barrier to disposition was the lack of patient acceptance to inpatient psychiatric hospitals, community settings, or other housing. Early identification of potential prolonged boarding, quality treatment and care for those patients, and effective case management, may resolve the ongoing challenges of boarding within the ED.

Novel Use of Telemedicine by Hurricane Evacuation Shelters.

Introduction: Hurricane Florence made landfall in North Carolina as a Category 1 hurricane on September 14, 2018 causing catastrophic flooding throughout much of eastern North Carolina. Large numbers of evacuees were housed in evacuation shelters established by state emergency management and county governments. The purpose of this study was to evaluate the implementation of a telemedicine service in evacuation shelters to determine whether the presence of telemedicine could alter EMS and ED utilization. Methods: We conducted a cross-sectional study that described the EMS and Emergency Department utilization of patients housed in disaster shelters during a 12 day period following Hurricane Florence. Subjects were those shelter residents in Wake or Orange counties utilizing emergency services. Data were collected from Wake County EMS, Orange County EMS, and RelyMD, the telemedicine service utilized in the shelters. Data included subject demographics, chief complaint, case disposition, telemedicine processing times, and an after-call survey to assess satisfaction and emergency department avoidance rates. De-identified data were compiled into Excel spread sheets. Results: There were a total of 194 combined telemedicine and EMS patient encounters, including 63 EMS transports, 25 refusals, 13 referrals (Wake County EMS), and 93 telemedicine patient encounters. Of the telemedicine encounters, 64 evaluations took place in Wake County shelters and 29 evaluations in the Orange County shelter. Average patient age was 49 years old; 67% were female. Forty three patients (46%) utilized the telemedicine service for obtaining medication refills, of whom 19 (44%) indicated they would have otherwise utilized an ED to refill their medication. Forty patients (43%) indicated they would have otherwise gone to an ED for care had the service not been provided, with the needs of 33 (83%) of these patients successfully managed without evaluation in an ED. Only 9 (9.7%) patients were referred by the telemedicine service to an ED for an evaluation, with 3 (3.2%) being admitted. Conclusion: Our descriptive findings suggest telemedicine can be effectively utilized in a general population evacuation shelter to reduce EMS and ED utilization and address the medical needs of the population. Further studies should be performed to assess applicability to other disaster settings.

A Statewide Assessment of Prehospital Electrocardiography Approaches of Acquisition and Interpretation for ST-Elevation Myocardial Infarction Based on Emergency Medical Services Characteristics.

Background: The American Heart Association recommends acquiring and interpreting prehospital electrocardiograms (ECG) for patients transported by Emergency Medical Services (EMS) to the emergency department with symptoms highly suspicious of acute coronary syndrome. If interpreted correctly, prehospital ECGs have the potential to improve early detection of ST-elevation myocardial infarction (STEMI) and inform prehospital activation of the cardiac catheterization laboratory, thus reducing total ischemic time and improving patient outcomes. Standardized protocols for prehospital ECG interpretation methods are lacking due to variations in EMS system design, training, and procedures. Objectives: We aimed to describe approaches for prehospital ECG interpretation in EMS systems across North Carolina (NC), and examine potential differences among systems. Methods: A 35-item internet survey was sent to all NC EMS systems (n = 99). Questions pertaining to prehospital ECG interpretation methods included: paramedic, computerized algorithm (i.e., software interpretation), combined approaches, and/or transmission for physician interpretation, transmission capability, cardiac catheterization laboratory activation, and EMS system characteristics (e.g. rural versus urban). Data were summarized and compared. Results: A total of 96 EMS systems across NC responded to the survey (97% response rate); of these, 69% were rural. EMS medical directors (53%) or EMS administrative directors (42%) completed the majority of surveys. While 91% of EMS systems had a prehospital ECG interpretation protocol in place, only 61% had a written cardiac catheterization laboratory activation policy. More than half (55%) of systems reported paramedic interpretation of prehospital ECGs, followed by a combined paramedic and software interpretation approach (39%), physician interpretation (4%), or software interpretation only approach (2%). Nearly 80% of EMS systems transmitted prehospital ECGs to receiving hospitals (always or sometimes), regardless of interpretation method. All EMS systems had some paid versus non-paid EMS personnel and the majority (86%) had both basic and advanced life support capabilities. Conclusions: Most NC EMS systems had a paramedic only ECG interpretation or paramedic in combination with a computerized algorithm approach. Very few used a physician read approach following transmission, even in rural service areas.

The Triage of Older Adults with Physiologic Markers of Serious Injury Using a State-Wide Prehospital Plan.

INTRODUCTION: In January of 2010, North Carolina (NC) USA implemented state-wide Trauma Triage Destination Plans (TTDPs) to provide standardized guidelines for Emergency Medical Services (EMS) decision making. No study exists to evaluate whether triage behavior has changed for geriatric trauma patients. HYPOTHESIS/PROBLEM: The impact of the NC TTDPs was investigated on EMS triage of geriatric trauma patients meeting physiologic criteria of serious injury, primarily based on whether these patients were transported to a trauma center. METHODS: This is a retrospective cohort study of geriatric trauma patients transported by EMS from March 1, 2009 through September 30, 2009 (pre-TTDP) and March 1, 2010 through September 30, 2010 (post-TTDP) meeting the following inclusion criteria: (1) age 50 years or older; (2) transported to a hospital by NC EMS; (3) experienced an injury; and (4) meeting one or more of the NC TTDP's physiologic criteria for trauma (n = 5,345). Data were obtained from the Prehospital Medical Information System (PreMIS). Data collected included proportions of patients transported to a trauma center categorized by specific physiologic criteria, age category, and distance from a trauma center. RESULTS: The proportion of patients transported to a trauma center pre-TTDP (24.4% [95% CI 22.7%-26.1%]; n = 604) was similar to the proportion post-TTDP (24.4% [95% CI 22.9%-26.0%]; n = 700). For patients meeting specific physiologic triage criteria, the proportions of patients transported to a trauma center were also similar pre- and post-TTDP: systolic blood pressure <90 mmHg (22.5% versus 23.5%); respiratory rate <10 or >29 (23.2% versus 22.6%); and Glascow Coma Scale (GCS) score <13 (26.0% versus 26.4%). Patients aged 80 years or older were less likely to be transported to a trauma center than younger patients in both the pre- and post-TTDP periods. CONCLUSIONS: State-wide implementation of a TTDP had no discernible effect on the proportion of patients 50 years and older transported to a trauma center. Under-triage remained common and became increasingly prevalent among the oldest adults. Research to understand the uptake of guidelines and protocols into EMS practice is critical to improving care for older adults in the prehospital environment.

Availability of Hospital Resources and Specialty Services for Stroke Care in North Carolina.

OBJECTIVES: Effective regionalization of acute stroke care requires assessment and coordination of limited hospital resources. We described the availability of stroke-specific hospital resources (neurology specialty physicians and neuro-intensive care unit [neuro-ICU] bed capacity) for North Carolina overall and by region and population density. We also assessed daily trends in hospital bed availability. METHODS: This statewide descriptive study was conducted with data from the State Medical Asset Resource Tracking Tool (SMARTT), a Web-based system used by North Carolina to track available medical resources within the state. The SMARTT system was queried for stroke-specific physician and bed resources at each North Carolina hospital during a 1-year period (June 2015-May 2016), including daily availability of neuro-ICU beds. We compared hospital resources by geographic region and population density (metropolitan, urban, and rural). RESULTS: Data from 108 acute care hospitals located in 75 of 100 counties in North Carolina were included in the analysis. Fifty-seven percent of hospitals had no neurology specialty physicians. Western and eastern North Carolina had the lowest prevalence of these physicians. Most hospitals (88%) had general ICUs, whereas only 17 hospitals (16%) had neuro-ICUs. Neuro-ICUs were concentrated in metropolitan areas and in central North Carolina. On average, there were 276 general ICU and 27 neuro-ICU beds available statewide each day. Daily neuro-ICU bed availability was lowest in eastern and southeastern regions and during the week compared with weekends. CONCLUSIONS: In North Carolina, stroke-specific hospital subspecialists and resources are not distributed evenly across the state. Daily bed availability, particularly in neuro-ICUs, is lacking in rural areas and noncentral regions and appears to decrease on weekdays. Regionalization of stroke care needs to consider the geographic distribution and daily variability of hospital resources.

Characteristics of Prehospital Electrocardiogram Use in North Carolina Using a Novel Linkage of Emergency Medical Services and Emergency Department Data.

Objective: Prehospital electrocardiography (ECG) is recommended for patients with suspected acute coronary syndrome (ACS), yet only 20-80% of chest pain patients receive a prehospital ECG. Less is known about prehospital ECG use in patients with less common complaints (e.g., fatigue) suspicious for ACS who are transported by emergency medical services (EMS). The aims of this study were to determine: (1) the proportion of patients with chest pain and less typical complaints, and (2) patient characteristics associated with prehospital ECG use in patients transported by EMS to emergency departments across North Carolina. Methods: A novel linked database was created between prehospital and emergency department (ED) patient care data from the North Carolina Prehospital Medical Information System and the North Carolina Disease Event Tracking and Epidemiologic Collection Tool. Institutional review board approval and a data use agreement were received prior to the start of the study. Patients ≥21 transported during 2010-14 by EMS with select variables were included. We examined patients' complaints (symptoms), characteristics (e.g., race, ethnicity, final hospital diagnosis), and prehospital ECG use (yes/no). Analysis included descriptive statistics and mixed logistic regression. Results: During 2010-14, there were 1,967,542 patients with linked EMS-ED data (mean age: 56.9 [SD: 22.2], 43.2% male, 63.7% White). Of these, 643,174 (32.6%) received a prehospital ECG. Patients with prehospital ECG presented with the following complaints: 20% chest pain; 10% shortness of breath; 6% abdominal pain/problems; 6% altered level of consciousness; 5% syncope/dizziness; 4% palpitations; 12% other complaints; and 37% missing. Patients' presenting complaints were the strongest predictor of prehospital ECG use, adjusting for age, sex, race, ethnicity, urbanicity, and date and time of EMS dispatch. Conclusions: Patients with chest pain were significantly more likely to receive a prehospital ECG compared to those with less typical but suspicious complaints for ACS. Patients with less common presentations remain disadvantaged for early triage, risk stratification, and intervention prior to the hospital.

Assessment of Key Health and Wellness Indicators Among North Carolina Emergency Medical Service Providers.

OBJECTIVE: The objective of this study was to characterize key health indicators in Emergency Medical Services (EMS) personnel and identify areas for intervention in order to ensure a strong and capable emergency health workforce. METHODS: Participants were EMS personnel delivering patients to 4 regional tertiary care emergency departments within North Carolina (NC). After transferring patient care and agreeing to participate, height, weight, and blood pressure (BP) measurements were recorded and each participant completed a questionnaire regarding demographics, activity levels, alcohol consumption, smoking, and medical history. Data were analyzed descriptively. RESULTS: A sample of 452 EMS personnel from across NC was enrolled. The cohort was predominantly male (74.1%) and employed full-time (85.5%). The prevalence of overweight and obesity (80.3%) among EMS personnel was higher than the NC population (65.6%) and the general United States (US) population (70.8%). A previous diagnosis of high BP was reported by only 18.3% of participants, but 65.1% had elevated BP at the time of measurement. Alcohol consumption in the past 30 days among participants (55.4%) was slightly higher than state estimates (48.0%) and similar to national estimates (57.1%). However, heavy drinking (22.2%) and binge drinking (28.8%) were reported at much higher rates than state (5.6% and 15.2%, respectively) and national (6.6% and 18.3%, respectively) estimates. The prevalence of current smoking (21.5%) and quit attempts (48.8%) in the cohort was similar to state (21.8% and 55.0%, respectively) and national (21.2% and 55.7%, respectively) estimates. Likewise, the proportion of EMS providers meeting the Center for Disease Control's activity guidelines (49.6%) was similar to that found in the NC (46.8%) and the general US (48.0%) populations. CONCLUSIONS: These findings suggest a high prevalence of overweight and obesity, heavy drinking, binge drinking, and high BP among NC EMS personnel. Similar to fire service personnel, these rates are higher than the general US population. As such, they suggest areas where intervention would have the greatest positive impact on the health and performance of the EMS workforce.

Elder Abuse Identification in the Prehospital Setting: An Examination of State Emergency Medical Services Protocols.

OBJECTIVES: To describe statewide emergency medical service (EMS) protocols relating to identification, management, and reporting of elder abuse in the prehospital setting. DESIGN: Cross-sectional analysis. SETTING: Statewide EMS protocols in the United States. PARTICIPANTS: Publicly available statewide EMS protocols identified from published literature, http://EMSprotocols.org, and each state's public health website. MEASUREMENTS: Protocols were reviewed to determine whether elder abuse was mentioned, elder abuse was defined, potential indicators of elder abuse were listed, management of older adults experiencing abuse was described, and instructions regarding reporting were provided. EMS protocols for child abuse were reviewed in the same manner for the purpose of comparison. RESULTS: Of the 35 publicly available statewide EMS protocols, only 14 (40.0%) mention elder abuse. Of protocols that mention elder abuse, 6 (42.9%) define elder abuse, 10 (71.4%) describe indicators of elder abuse, 8 (57.1%) provide instruction regarding management, and 12 (85.7%) provide instruction regarding reporting. Almost twice as many states met each of these metrics for child abuse. CONCLUSION: Statewide EMS protocols for elder abuse vary in regard to identification, management, and reporting, with the majority of states having no content on this subject. Expansion and standardization of protocols may increase the identification of elder abuse.