Emergency Medical Services Patients Research Articles

Potential bypassing of nearest emergency department by EMS transports.

Guidelines recommend emergency medical services (EMS) patients to be transported to the nearest appropriate emergency department (ED). Our objective was to estimate the prevalence of EMS transport to an ED other than the nearest ED ("potential bypassing"). Illinois Prehospital Patient Care Report Data of EMS transports (July 2019 to December 2019). We identified all EMS ground transports with an advanced life-support (ALS) paramedic to an ED for patients aged 21 years and older. Using street address of incident location, we performed geocoding and driving route analyses and obtained estimated driving distance and time to the destination ED and alternative EDs. Our main outcomes were dichotomous indicators of potential bypassing of the nearest ED based on distance and time. As secondary outcomes we examined potential bypassing indicators based on excess driving distance and time. We used Poisson regression models to obtain adjusted relative rates of potential bypassing indicators by acuity level, primary impression, patient demographics and geographic characteristics. Our study cohort of 361,051 EMS transports consisted of 5.8% critical, 37.2% emergent and 57.0% low acuity cases transported to 222 EDs. The observed rate of potential bypassing was approximately 34% of cases for each acuity level. Treating the cardiovascular primary impression code group as the reference case, we found small to no differences in potential bypassing rates across other primary impression code groups of all acuity levels, with the exception of critical acuity trauma cases for which potential bypassing rate was 64% higher (incidence rate ratio=1.64, 95% confidence interval, 1.54-1.74). Compared to zip codes with one ED within a 5-mile vicinity, potential bypassing was higher in areas with no ED or multiple EDs within a 5-mile vicinity. Approximately one-third of EMS transports potentially bypassed the nearest ED. EMS transport destination may be motivated by factors other than proximity.

Abstract 13216: Initial Survey of Respiratory Mechanics During Prehospital Bag Ventilation

Introduction: Respiratory mechanics, such as tidal volume and inspiratory pressures, affect outcome in hospitalized patients with respiratory failure. The ability to accurately measure respiratory mechanics in the prehospital setting is limited, thus the relationship between prehospital respiratory mechanics and clinical outcome is not well understood. In this feasibility study, we examined respiratory mechanics of bag-valve mask (BVM) ventilation by emergency medical services (EMS) using a novel in-line measuring device during a period when agencies switched from larger to smaller ventilation bags. Methods: This prospective cohort study included a convenience sample of adult patients who received BVM ventilation by EMS, from August 2018 to January 2020, in Bellevue, Washington. The airway monitoring device was applied by paramedics after intubation to passively record in black box mode, until termination of efforts or hospital arrival. Respiratory parameters included tidal volume, airway pressure, flow rates, end-tidal carbon dioxide, and respiratory rate. Prehospital agencies transitioned from large (1500 mL) to small (1000 mL) ventilation bags during the study period. Results: 7371 post-intubation breaths were measured in 54 patients, 32 treated for out-of-hospital cardiac arrest (OHCA) and 22 treated for non-arrest conditions, primarily respiratory etiology. EMS ventilated 19 patients with a small bag and 35 patients with a large bag. Ventilation with a smaller bag was characterized by less variability in tidal volumes and higher proportion of breaths delivered within 4-10 mL/kg of predicted body weight (Figure) (p<0.05). Conclusions: Respiratory mechanics can be measured in EMS patients receiving BVM ventilation following intubation. Ventilation with a smaller bag might reduce variation in tidal volume, but further study is needed. These data provide the first evaluation of respiratory mechanics during manual ventilation provided by EMS.

Out-of-hospital, non-invasive, positive-pressure ventilation for acute dyspnea.

BackgroundEmergency medical services (EMS) patients with acute dyspnea require prompt treatment. Limited data describe out‐of‐hospital dyspnea treatment with non‐invasive, positive‐pressure ventilation (NIPPV), including continuous positive airway pressure (CPAP) or bi‐level positive air pressure (BPAP). We sought to determine the course and outcomes of out‐of‐hospital acute dyspnea patients treated with NIPPV.MethodsWe analyzed retrospective data on 1289 EMS agencies from the ESO Data Collaborative (ESO, Inc., Austin, TX) between January and December 2018. We defined acute dyspnea as adults with an initial respiratory rate ≥ 30 breaths/min (bpm), with a primary or secondary EMS subjective impression of a respiratory condition, who received oxygen and/or a respiratory medication and had 2 or more recordings of respiratory rate (RR). We excluded patients with trauma and those with altered mental status. We identified cases receiving care with and without NIPPV. The primary outcome was change in respiratory rate (RR), censored at 90 minutes of treatment. We compared baseline characteristics between NIPPV and non‐NIPPV patients. We compared RR changes between NIPPV and non‐NIPPV patients at 20 and 40 minutes of treatment. Using mixed linear, fractional polynomial, and multiple spline models, we examined the association of out‐of‐hospital NIPPV with overall change in RR. Secondary outcomes included whether the patient received advanced airway treatment (intubation, supraglottic airway device, and/or cricothyroidotomy).ResultsWe analyzed 33,585 EMS encounters for patients with acute dyspnea, including 8,750 (26.1%) NIPPV and 24,835 (73.9%) non‐NIPPV encounters. Median treatment duration was similar between NIPPV and non‐NIPPV (23.3 minutes vs 23.6 minutes, rank‐sum P = 0.266). Common concurrent treatments included albuterol (NIPPV, 48.8%; non‐NIPPV, 46.2%), ipratropium bromide (27.9%, 24.8%), and methylprednisolone (24.9%, 18.5%). At 20 minutes, mean RR change was slightly lower for the NIPPV group than non‐NIPPV; −6.0 versus −6.8 breaths/min. At 40 minutes, mean RR change was similar between NIPPV and non‐NIPPV groups; −7.7 versus −7.9 breaths/min. On linear mixed modeling adjusted for age, sex, incident location, race, ethnicity, agency type, initial RR, and medication use, NIPPV was associated with a smaller RR decrease across time than NIPPV; [NIPPV × time] interaction P < 0.001. Out‐of‐hospital advanced airway placement (endotracheal intubation or supraglottic airway insertion) was higher for NIPPV than non‐NIPPV group (2.3% vs 1.3%, odds ratio = 2.23, 95% confidence interval = 2.01–2.47).ConclusionsNIPPV has been proven to be an effective treatment for out‐of‐hospital patients experiencing acute dyspnea through prior studies. Our findings provide detailed insight into characteristics and use of NIPPV and highlight the commonality of this treatment modality with use in over 1 in 4 patients in respiratory distress.

A Statewide EMS Viral Syndrome Pandemic Triage Protocol: 24 Hour Outcomes

Background: Early during the COVID-19 pandemic, Emergency Medical Services (EMS) systems encountered many challenges that prompted crisis-level strategies. Maryland’s statewide EMS system implemented the Viral Syndrome Pandemic Triage Protocol which contained a decision tool to help identify patients potentially safe for self-care at home. Objectives: This study assessed the effects of the Maryland Viral Syndrome Pandemic Triage Protocol and the safety of referring patients for self-care at home. Methods: This is a retrospective statewide analysis of EMS patients from March 19 thru September 4, 2020, who were not transported and had documentation of the Viral Syndrome Pandemic Triage Protocol’s decision support tool completed, as well as a random sample of 150 patients who were not transported and did not have documentation of the decision tool. Descriptive statistics were performed as well as a two-stage multivariable logistic regression model for the outcomes of ED presentation within 24 hours and subsequent hospitalization. Results: 301 EMS patients were documented as triaged to home using the protocol and outcomes data were available for 282 (94%). 41(14.5%) patients presented to an ED within 24 hours and 14 (5% of 282) required inpatient hospitalization. Nine (3.2%) patients were subsequently hospitalized with a diagnosis of COVID-19 illness. Of those patients for whom the decision tool was not documented, 35 (23%) had an ED visit within 24 hours and 15 (10%) were hospitalized (p = 0.075). Multivariate logistic regression model results (N = 432) suggest that those with documentation of triage protocol use had some advantage over those patients without documentation. The 95% CIs of the estimated effect of Triage/No Triage protocol documented were wide and crossed the 1.0 limit but overall, all effects Odds Ratios and Adjust Odds Ratios were consistently over 1.0 with the lowest value of 1.3 and the highest value of 2.1. Conclusion: Most patients (95%) who were triaged to self-care at home with home documented decision support tool use did not require hospitalization within 24 hours following EMS encounter and this appears to be safe. Future opportunity exists to incorporate such tools into comprehensive pandemic preparedness strategies along with appropriate follow up and quality improvement mechanisms.

Does Every Minute Really Count? Road Time as an Indicator for the Economic Value of Emergency Medical Services

ObjectivesThis article builds on the literature regarding the association between emergency medical service (EMS) response times and patient outcomes (death and severe injury). Three issues are addressed in this article with respect to the empirical estimation of this relationship: the endogeneity of response time (systematically quicker response for higher degrees of urgency), the nonlinearity of this relationship, and the variation between such estimations for different patient outcomes. MethodsBinomial and multinomial logistic regression models are used to estimate the impact of response time on the probabilities of death and severe injury using data from French Fire and Rescue Services. These models are developed with response time as an explanatory variable and then with road time (dispatch to arrival) hypothesized as representing the exogenous variation within response time. Both models are also applied to data subsets based on response time intervals. ResultsThe results show that road time yields a higher estimate for the impact of response time on patient outcomes than (total) response time. The impact of road time on patient outcomes is also shown to be nonlinear. These results are of both statistical significance (model coefficients are significant at the 95% confidence level) and economical significance (when taking into account the number of annual interventions performed). ConclusionsWhen using heterogeneous data on EMS interventions where endogeneity is a clear issue, road time is a more reliable indicator to estimate the impact of EMS response time on patient outcomes than (total) response time.

Centralized Ambulance Destination Determination: A Retrospective Data Analysis to Determine Impact on EMS System Distribution, Surge Events, and Diversion Status.

IntroductionEmergency medical services (EMS) systems can become impacted by sudden surges that can occur throughout the day, as well as by natural disasters and the current pandemic. Because of this, emergency department crowding and ambulance “bunching,” or surges in ambulance-transported patients at receiving hospitals, can have a detrimental effect on patient care and financial implications for an EMS system. The Centralized Ambulance Destination Determination (CAD-D) project was initially created as a pilot project to look at the impact of an active, online base hospital physician and paramedic supervisor to direct patient destination and distribution, as a way to improve ambulance distribution, decrease surges at hospitals, and decrease diversion status.MethodsThe project was initiated March 17, 2020, with a six-week baseline period; it had three additional study phases where the CAD-D was recommended (Phase 1), mandatory (Phase 2), and modified (Phase 3), respectively. We used coefficients of variation (CV) statistical analysis to measure the relative variability between datasets (eg, CAD-D phases), with a lower variation showing better and more even distribution across the different hospitals. We used analysis of co-variability for the CV to determine whether level loading was improved systemwide across the three phases against the baseline period. The primary outcomes of this study were the following: to determine the impact of ambulance distribution across a geographical area by using the CV; to determine whether there was a decrease in surge rates at the busiest hospital in this area; and the effects on diversion.ResultsWe calculated the CV of all ratios and used them as a measure of EMS patient distribution among hospitals. Mean CV was lower in Phase 2 as compared to baseline (1.56 vs 0.80 P < 0.05), and to baseline and Phase 3 (1.56 vs. 0.93, P <0.05). A lower CV indicates better distribution across more hospitals, instead of the EMS transports bunching at a few hospitals. Furthermore, the proportion of surge events was shown to be lower between baseline and Phase 1 (1.43 vs 0.77, P <0.05), baseline and Phase 2 (1.43 vs. 0.33, P < 0.05), and baseline and Phase 3 (1.43 vs 0.42, P < 0.05). Diversion was shown to increase over the system as a whole, despite decreased diversion rates at the busiest hospital in the system.ConclusionIn this retrospective study, we found that ambulance distribution increased across the system with the implementation of CAD-D, leading to better level loading. The surge rates decreased at some of the most impacted hospitals, while the rates of hospitals going on diversion paradoxically increased overall. Specifically, the results of this study showed that there was an improvement when comparing the CAD-D implementation vs the baseline period for both the ambulance distribution across the system (level loading/CV), and for surge events at three of the busiest hospitals in the system.

4 Outcomes Following Consultation With Online Medical Control During Out-of-Hospital Cardiac Arrest in the Portland Metropolitan Area

Emergency medical services (EMS) frequently seeks advice, often as a local protocol requirement, on further care or termination of resuscitation (TOR) during an out-of-hospital cardiac arrest (OHCA) resuscitation via online medical control (OLMC). Our objective was to characterize the recommendations made by OLMC in OHCA, and to determine the impact of these on EMS transport decisions and patient outcomes.

Frequency and severity of prehospital obstetric events encountered by emergency medical services in the United States

BackgroundPrehospital obstetric events encountered by emergency medical services (EMS) can be high-risk patient presentations for which suboptimal care can cause substantial morbidity and mortality. The frequency of prehospital obstetric events is unclear because existing descriptions have reported obstetric and gynecological conditions together, without delineating specific patient presentations. Our objective was to identify the types, frequency, and acuity of prehospital obstetric events treated by EMS personnel in the US.MethodsWe conducted a cross-sectional analysis of EMS patient care records in the 2018 National EMS Information System dataset (n=22,532,890). We focused on EMS activations (i.e., calls for service) for an emergency scene response for patients aged 12-50 years with evidence of an obstetric event. Type of obstetric event was determined by examining patient symptoms, the treating EMS provider’s impression (i.e., field diagnosis), and procedures performed. High patient acuity was ascertained by EMS documentation of patient status and application of the modified early obstetric warning system (MEOWS) criteria, with concordance assessed using Cohen’s kappa. Descriptive statistics were calculated to describe the primary symptoms, impressions, and frequency of each type of obstetric event among these activations.ResultsA total of 107,771 (0.6%) of EMS emergency activations were identified as involving an obstetric event. The most common presentation was early or threatened labor (15%). Abdominal complaints, including pain and other digestive/abdomen signs and symptoms, was the most common primary symptom (29%) and primary impression (18%). We identified 3,489 (3%) out-of-hospital deliveries, of which 1,504 were preterm. Overall, EMS providers documented 34% of patients as being high acuity, similar to the MEOWS criteria (35%); however, there were high rates of missing data for EMS documented acuity (19%), poor concordance between the two measures (Cohen’s kappa=0.12), and acuity differences for specific conditions (e.g., high acuity of non-cephalic presentations, 77% in EMS documentation versus 53% identified by MEOWS).ConclusionPrehospital obstetric events were infrequently encountered by EMS personnel, and about one-third were high acuity. Additional work to understand the epidemiology and clinical care of these patients by EMS would help to optimize prehospital care and outcomes.

Hospice and Comfort Care Patient Utilization of Emergency Medical Services

Introduction: Emergency medical services (EMS) were designed to prevent death and disability. When hospice patients call 9-1-1, it can create challenging scenarios for EMS providers, patients, and families. The objective of this investigation is to understand the characteristics of hospice and comfort care patient EMS utilization in Alameda County, California. Methods: This is a 15-month (7/1/2019-10/1/2020) retrospective observational study in Alameda County using electronic patient care reports (PCRs). The search terms "hospice" and "comfort measures only" were applied to PCR narratives. Results: Of the 237,493 EMS provider response calls, 534 (0.2%) were for hospice and comfort care patients. One hundred seventy-four (32.6%) calls were from skilled nursing facilities versus 343 (64.2%) from private residences. Among the most common primary impressions were respiratory complaints (96; 18.0%), altered mental status (96; 18.0%), weakness (58; 10.9%), and cardiac arrest (45; 8.4%). The most common interventions included blood glucose (244; 45.7%), electrocardiogram (181; 33.9%), and intravenous placement (170; 31.8%). Of note, eight (1.5%) patients received cardiopulmonary resuscitation, and an additional eight (1.5%) patients were intubated endotracheally or received a supraglottic airway device for intubation. Sixty-eight (12.7%) patients received medications, the most common of which were fentanyl (17; 3.2%) and albuterol (16; 3.0%). Of note, five (0.9%) patients received naloxone. Ultimately, 468 (87.6%) patients were transported by EMS. Of the 33 (6.1%) patients who died on the scene, three received resuscitation attempts. Conclusion: Although EMS providers encounter hospice and comfort care patients infrequently, awareness of hospice services and comprehensive end-of-life care communication skills with patients and family should be an important part of EMS.

Erratum to: Which health-related reasons lead to prehospital emergency care and how does subjective emergency status connect to subsequent care? Emergency medical service patients’ survey linked to health claims data

Erratum to: Which health-related reasons lead to prehospital emergency care and how does subjective emergency status connect to subsequent care? Emergency medical service patients’ survey linked to health claims data

Prehospital Airway Management: A Systematic Review

Objective: To assess comparative benefits and harms across three airway management approaches (bag valve mask [BVM], supraglottic airway [SGA], and endotracheal intubation [ETI]) used by prehospital emergency medical services (EMS) to treat patients with trauma, cardiac arrest, or medical emergencies, and how they differ based on techniques and devices, EMS personnel and patient characteristics. Data sources: We searched electronic citation databases (Ovid® MEDLINE®, CINAHL®, the Cochrane Central Register of Controlled Trials, the Cochrane Database of Systematic Reviews, and Scopus®) from 1990 to September 2020. Review methods: We followed Agency for Healthcare Research and Quality Effective Health Care Program Methods guidance. Outcomes included mortality, neurological function, return of spontaneous circulation (ROSC), and successful advanced airway insertion. Meta-analyses using profile-likelihood random effects models were conducted, with analyses stratified by study design, emergency type, and age. Results: We included 99 studies involving 630,397 patients. We found few differences in primary outcomes across airway management approaches. For survival, there was no difference for BVM versus ETI or SGA in adult and pediatric patients with cardiac arrest or trauma. For neurological function, there was no difference for BVM versus ETI and SGA versus ETI in pediatric patients with cardiac arrest. There was no difference in BVM versus ETI in adults with cardiac arrest, but improved neurological function with BVM or ETI versus SGA. There was no difference in ROSC for patients with cardiac arrest for BVM versus ETI or SGA in adults and pediatrics, or SGA versus ETI in pediatrics. There was higher frequency of ROSC in adults with SGA versus ETI. For successful advanced airway insertion, there was higher first-pass success with SGA versus ETI for all patients except adult medical patients (no difference), and no difference in overall success using SGA versus ETI in adults. Conclusions: The currently available evidence does not indicate benefits of more invasive airway approaches based on survival, neurological function, ROSC, or successful airway insertion. Strength of evidence was low or moderate; most included studies were observational. This supports the need for high-quality randomized controlled trials to advance clinical practice and EMS education and policy, and improve patient-centered outcomes.

The importance of the partnership between the public and private healthcare institutions to improve interhospital patient transfers

Purpose The purpose of this study/paper is to identify the importance of the partnership between the public and private health-care institutions to improve interhospital patient transfers. Scientific research and statistical data show the increased number of interhospital transportation services; therefore, timely and qualified patient transportation between different health-care institutions must be considered, the activity that directly and significantly impacts the patient’s health status and overall quality of the health-care services. The successful patient transportation from the smaller hospitals to the health-care institutions with advanced intensive care or urgent care units can be enhanced through the partnership between private and public health-care institutions. Design/methodology/approach The methodology included quantitative method, statistical data analysis and theoretical data generalization. Both primary and secondary data were collected and analyzed during the research. Expert quantification was performed using the survey research method. The survey was conducted in Lithuania. The respondents were selected to be the general managers of the health-care and urgent care institutions, the chief doctors of the reanimation and intensive care department also the chief doctors of the emergency department. Findings Because of the centralization and regionalization of health-care services, the number of patients transferred between hospitals by the emergency medical services (EMS) and personal health-care institutions has increased. University hospitals are not sufficiently prepared to accept an increasing flow of patients in accordance with the Ministry of Health orders. Not all regional or district hospitals have the right to provide such assistance, which increases transportation time and costs as well as requires additional human resources. The five EMS categories could be used to improve the patient transfer between different levels of health-care institutions. To increase partnership between private and public health-care organizations, incentives should be provided for the development of private health-care organizations, as well as encouraging actions should be taken to increase the demand for private health-care services by Lithuanian patients. Practical implications Five EMS categories identified in this paper could be used to ensure a smooth mechanism for the patient transfer between different levels of the personal health-care institutions. The proposed categories should also be used in the pre-stationary emergency phase (for reducing the interhospital patient transportation amount). Social implications Properly organized secondary and tertiary interhospital patient transfers influence the availability and quality of the EMS and reduce inequalities in the provided services and social exclusion. Originality/value This paper presents the classification of the interhospital transfer issues, determines the main reasons for the patient interhospital transfer, creates the model for the EMS patient process flows and defines five EMS categories for the assessment of patient conditions. Therefore, the research conducted and the results obtained have both theoretical and social-practical value.

Emergency department admission and mortality of the non-transported emergency medical service patients: a cohort study from Northern Finland

ObjectivesA high number of emergency medical service (EMS) patients are not transported to hospital by ambulance. Various non-transport protocols and guidelines have been implemented by different EMS providers. The present...

Which symptoms pose the highest risk in patients calling for an ambulance? A population-based cohort study from Denmark

BackgroundEmergency medical service patients are a vulnerable population and the risk of mortality is considerable. In Denmark, healthcare professionals receive 112-emergency calls and assess the main reason for calling. The main aim was to investigate which of these reasons, i.e. which symptoms or mechanism of injury, contributed to short-term risk of death. Secondary aim was to study 1–30 day-mortality for each symptom/ injury.MethodsHistoric population-based cohort study of emergency medical service patients calling 112 in the North Denmark Region between 01.01.2016–31.12.2018. We defined 1-day mortality as death on the same or the following day. The frequency of each symptom and cumulative number of deaths on day 1 and 30 together with 1- and 30-day mortality for each symptom/mechanism of injury is presented in proportions. Poisson regression with robust variance estimation was used to estimate incident rates (IR) of mortality with 95% confidence intervals (CI), crude and age and sex adjusted, mortality rates on day 1 per 100,000 person-year in the population.ResultsThe five most frequent reasons for calling 112 were “chest pain” (15.9%), “unclear problem” (11.9%), “accidents” (11.2%), “possible stroke” (10.9%), and “breathing difficulties” (8.3%). Four of these contributed to the highest numbers of deaths: “breathing difficulties” (17.2%), “unclear problem” (13.2%), “possible stroke” (8.7%), and “chest pain” (4.7%), all exceeded by “unconscious adult – possible cardiac arrest” (25.3%). Age and sex adjusted IR of mortality per 100,000 person-year was 3.65 (CI 3.01–4.44) for “unconscious adult – possible cardiac arrest” followed by “breathing difficulties” (0.45, CI 0.37–0.54), “unclear problem”(0.30, CI 0.11–0.17), “possible stroke”(0.13, CI 0.11–0.17) and “chest pain”(0.07, CI 0.05–0.09).ConclusionIn terms of risk of death on the same day and the day after the 112-call, “unconscious adult/possible cardiac arrest” was the most deadly symptom, about eight times more deadly than “breathing difficulties”, 12 times more deadly than “unclear problem”, 28 times more deadly than “possible stroke”, and 52 times more deadly than “chest pain”. “Breathing difficulties” and “unclear problem” as presented when calling 112 are among the top three contributing to short term deaths when calling 112, exceeding both stroke symptoms and chest pain.

Work-related factors, cognitive skills, unsafe behavior and safety incident involvement among emergency medical services crew members: relationships and indirect effects

Objectives. This study examines relationships between work-related factors – stress and fatigue, cognitive skills – situation awareness and cognitive flexibility, unsafe behavior and safety incident involvement among emergency medical services (EMS) crew members, and whether cognitive skills and unsafe behavior together indirectly affect the relationship between work-related factors and safety incident involvement. Methods. A sample of 131 EMS crew members working in ground ambulances (physicians, paramedics, ambulance drivers) completed self-report questionnaires. Results. The correlation analysis showed significant positive interrelationships between work-related factors, unsafe behavior and safety incident involvement, and that cognitive skills were significantly negatively related to these variables. The multiple indirect effects analysis revealed significant indirect effects of both work-related factors on safety incident involvement through situation awareness and unsafe behavior, but not through cognitive flexibility. Conclusion. In terms of reducing the number of EMS provider and patient safety incidents, the findings suggest the importance of reducing stress and fatigue in EMS crew members, improving their cognitive skills, in particular situation awareness, and supporting their safety compliance behavior.

The Development of Consensus-Based Descriptors for Low-Acuity Emergency Medical Services Cases for the South African Setting

Emergency Medical Services (EMS) are designed to respond to and manage patients experiencing life-threatening emergencies; however, not all emergency calls are necessarily emergent and of high acuity. Emergency responses to low-acuity patients affect not only EMS, but other areas of the health care system. However, definitions of low-acuity calls are vague and subjective; therefore, it was necessary to provide a clear description of the low-acuity patient in EMS. The goal of this study was to develop descriptors for "low-acuity EMS patients" through expert consensus within the EMS environment. A Modified Delphi survey was used to develop call-out categories and descriptors of low acuity through expert opinion of practitioners within EMS. Purposive, snowball sampling was used to recruit 60 participants, of which 29 completed all three rounds. An online survey tool was used and offered both binary and free-text options to participants. Consensus of 75% was accepted on the binary options while free text offered further proposals for consideration during the survey. On completion of round two, consensus was obtained on 45% (70/155) of the descriptors, and a further 30% (46/155) consensus was obtained in round three. Experts felt that respiratory distress, unconsciousness, chest pain, and severe hemorrhage cannot be considered low acuity. For other emergency response categories, specific descriptors were offered to denote a case as low acuity. Descriptors of low acuity in EMS are provided in both medical and trauma cases. These descriptors may not only assist in the reduction of unnecessary response and transport of patients, but also assist in identifying the most appropriate response of EMS resources to call-outs. Further development and validation are required of these descriptors in order to improve accuracy and effectiveness within the EMS dispatch environment.

Which health-related reasons lead to prehospital emergency care and how does subjective emergency status connect to subsequent care?

Abstract Objectives/Background In many countries, the use of emergency medical services (EMS) increases steadily each year. At the same time, the percentage of life-threatening complaints decreases. To redesign the system, an assessment and consideration of the patients’ perspectives is helpful. Methods We conducted a paper-based survey of German EMS patients who had at least one case of prehospital emergency care in 2016. Four health insurance companies sent out the questionnaire to 1312 insured persons. We linked the self-reported data of 254 respondents to corresponding claims data provided by their health insurance companies. The analysis focuses a.) how strongly patients tend to call EMS for themselves and others given different health-related scenarios, b.) self-perceived health complaints in their own index case of prehospital emergency care and c.) subjective emergency status in combination with so-called “objective” characteristics of subsequent EMS and inpatient care. We report principal diagnoses of (1) respondents, (2) 57,240 EMS users who are not part of the survey and (3) all 20,063,689 inpatients in German hospitals. Diagnoses for group 1 and 2 only cover the inpatient stay that started on the day of the last EMS use in 2016. Results According to the survey, the threshold to call an ambulance is lower for someone else than for oneself. In 89% of all cases during their own EMS use, a third party called the ambulance. The most common, self-reported complaints were pain (38%), problems with heart and circulation (32%), and loss of consciousness (17%). The majority of respondents indicated that their EMS use was due to an emergency (89%). We could detect no or only weak associations between patients’ subjective urgency and different items for objective care. Conclusion Dispatchers can possibly optimize or reduce the disposition of EMS staff and vehicles if they spoke directly to the patients more often. Nonetheless, there is need for further research on how strongly the patients’ perceived urgency may affect the disposition, rapidness of the service and transport targets.

Airway Management with the Laryngeal Mask Airway (LMA) in Emergency Medical Services

Background: Airway management is an important aspect of care in emergency medical services (EMS) used to prevent obstruction of the respiratory track and inadequate oxygenation. The laryngeal mask airway (LMA) is an easy-to-use supraglottic airway device developed in 1988 that has a high success rate in both adults and children. However, there have yet been no studies regarding LMA use in EMS in Thailand. Objective: To determine the success rate of LMA in EMS and factors associated with successful LMA insertion. Materials and Methods: This was a cross-sectional study consisting of Srinagarind Hospital EMS patients over 18 years of age who underwent LMA airway management between March 2016 and March 2020. Data were collected from the Srinagarind Hospital EMS operation database and hospital information database system. Results: A total of 154 patients were enrolled with a mean age of 43.1+8.5 years, 89 (57.8%) of whom were male. Non trauma patients accounted for 72.7% of all cases. The average oxygen saturation before and after LMA use were 71.4+12.3% and 94.4+3.2%, respectively (p = 0.022). Students in their first and third year of residency training were able to successfully perform LMA airway management on the first attempt in 83.3% and 98.4% of cases, respectively (p = 0.025). Conclusion: Airway management using the LMA had a high success rate on the first attempt, required less time for insertion than other comparable devices, and resulted in a high level of oxygen saturation. Keywords: Laryngeal mask airway, Emergency medical services, Airway management, Internship and residency

Correlation between Emergency Medical Services Suspected COVID-19 Patients and Daily Hospitalizations

Objective: We sought to determine if Emergency Medical Services (EMS) identified Persons Under Investigation (PUI) for COVID-19 are associated with hospitalizations for COVID-19 disease for the purposes of serving as a potential early indicator of hospital surge. Methods: A retrospective analysis was conducted using data from the Maryland statewide EMS electronic medical records and daily COVID-19 hospitalizations from March 13, 2020 through July 31, 2020. All unique EMS patients who were identified as COVID-19 PUIs during the study period were included. Descriptive analysis was performed. The Box-Jenkins approach was used to evaluate the relationship between EMS transports and daily new hospitalizations. Separate Auto Regressive Integrated Moving Average (ARIMA) models were constructed to transform the data into a series of independent, identically distributed random variables. Fit was measured using the Akaike Information Criterion (AIC). The Box-Ljung white noise test was utilized to ensure there was no autocorrelation in the residuals. Results: EMS units in Maryland identified a total of 26,855 COVID-19 PUIs during the 141-day study period. The median patient age was 62 years old, and 19,111 (71.3%) were 50 years and older. 6,886 (25.6%) patients had an abnormal initial pulse oximetry (<92%). A strong degree of correlation was observed between EMS PUI transports and new hospitalizations. The correlation was strongest and significant at a 9-day lag from time of EMS PUI transports to new COVID-19 hospitalizations, with a cross correlation coefficient of 0.26 (p < .01). Conclusions: A strong correlation between EMS PUIs and COVID-19 hospitalizations was noted in this state-wide analysis. These findings demonstrate the potential value of incorporating EMS clinical information into the development of a robust syndromic surveillance system for COVID-19. This correlation has important utility in the development of predictive tools and models that seek to provide indicators of an impending surge on the healthcare system at large.

Factors Associated with Emergency Medical Service Reattendance in Low Acuity Patients Not Transported by Ambulance

Background: The decision for emergency medical services (EMS) personnel not to transport a patient is challenging: there is a risk of subsequent deterioration but transportation of all patients to hospital would overburden emergency departments. The aim of this large-scale EMS study was to identify factors associated with an increased likelihood of ambulance reattendance within 48 hours in low acuity patients who were not transported by ambulance. Methods: We conducted a 2-year retrospective cohort study using data from the St John New Zealand EMS between 1 July 2016 and 30 June 2018 to investigate demographic and clinical associations with ambulance reattendance. Results: In total, 83,171 low acuity patients not transported by ambulance were included, of whom 4,512 (5.4%) had an EMS ambulance reattend within 48 hours. There were significant associations between EMS reattendance and patient age, sex, ethnicity, deprivation, and event location. Patients aged 60-74 years old had the highest likelihood of ambulance recall (OR 2.87, 95% CI: 2.51-3.28). Males were more likely to have an EMS ambulance reattend within 48 hours (OR 1.17, 95% CI: 1.09-1.25). Māori and Pacific Peoples had a similar likelihood of EMS recall to European/Others; however, the Asian cohort showed a reduced likelihood of reattendance (OR 0.76, 95% CI: 0.62-0.93). There were significant associations between EMS reattendance and non-transport reason, time spent on scene, event type, clinical acuity level (status), and pain score. Shorter (<30 minutes) on scene times were associated with a decreased likelihood of ambulance reattendance, whereas longer scene times (>45 minutes) were associated with an increased likelihood. Medical events were more likely to require reattendance than accident-related events (OR 1.22, 95% CI: 1.13-1.32). Non-transported patients with a severe pain score (7-10/10) were at increased likelihood of requiring reattendance (OR 1.60, 95% CI: 1.33-1.92). Discussion: The overall low rate of EMS reattendance is encouraging. Further research is needed into the clinical presentation of patients requiring ambulance reattendance within 48 hours to determine if there are early warning signs indicative of subsequent deterioration.