Emergency Medical Services Run Sheets Research Articles

Abstract 74: Area Deprivation Index, Stroke Outcomes, And Structural Changes To Improve Access To Thrombectomy

Introduction: In New York City (NYC), expanding the reach of thrombectomy-capable stroke centers (TSC) is key to combating socioeconomic disparities in stroke care. The Area Deprivation Index (ADI), a validated, neighborhood-level composite measure (scored 1-100) that includes income, education, employment, and housing quality, has informed healthcare delivery but has not been used to identify disadvantaged neighborhoods with poor access to stroke care. We sought to evaluate the impact of establishing Mount Sinai Queens Hospital (MSQ) as a TSC in 2017 on transfer times and to explore the association between ADI and stroke care access. Methods: Thrombectomy patient pick-up addresses were obtained through Emergency Medical Services runsheets from June 2016 to July 2021 and matched to census-tract level ADI scores from Neighborhood Atlas. Preliminary analyses compared both ADIs and time to stroke care access in both Queens and Manhattan. The primary outcome measure was the duration between ambulance arrival and groin puncture. Simple linear regression and T-tests were used to assess the association between ADI and time to groin puncture by borough. Results: Among 517 cases between 2016-2021, the average ADI of pick-up locations was 10.35 (range: 1 - 70.5). Across all centers, higher ADI (greater deprivation) was significantly associated with increased time to groin puncture (p = 0.024). Notably, Queens patients were picked up in census tracts with higher ADI (p=0.0289) but had a faster pick up to groin puncture time (p=0.006). Conclusions: Across urban census tracts, a higher ADI was associated with delays in access to thrombectomy. Thrombectomy centers in areas with higher ADI can play a role in reducing healthcare disparities for stroke patients.

Abstract P118: Process Improvement for Stroke/EMS Run Sheets Available in Medical Record

Background and Purpose: When stroke patients arrive to the hospital, it is imperative to have a clear picture of what occurred during transport from home, scene or other facility. The stroke team encountered difficulties in obtaining emergency medical services (EMS) run sheets in real time. We also found that these records, even when obtained, were often not scanned into the electronic medical record (EMR). Methods: We created a plan of action with our ED Stroke Champions, which involved development of an automated system to streamline the process of the run sheet scanning into EMR. In December 2019 barcode scanning devices were purchased and placed in the ED to facilitate this process. Ongoing education of the new process was conducted via email to notify our EMS partners of these changes, as well as face to face discussions whenever possible. Laminated color copies of the visual aide were posted at the central scanner location and in the EMS room in the ED. The process was that the EMS partners would:•receive the patient’s medical record number with barcode•stop at a central scanner•send the EMS run sheet directly into the EMR This process began on December 16, 2019. Three days before, another email went out to all EMS partners describing the process with a visual aide. Laminated color copies of the visual aide were posted at the central scanner location and in the EMS room in the ED. Results: In November 2019, 20 eligible ground EMS run sheets were sent to the Medical Records department for EMR scanning. After review, 13 (65%) were found scanned into the EMR. A review of January-July 2020 showed the following eligible scanned run sheets into EMR.•January 2020, 1 out of 21 (4.5%)•February 2020, 4 out of 26 (1.5%)•March 2020, 2 out of 17 (12%)•April 2020, 5 out of 15 (33%)•May 2020, 12 out of 18 (67%)•June 2020, 7 out of 7 (100%) Conclusions: With implementation of an automated process, significant improvement has been seen in obtaining and scanning run sheets. This will lead to better decision making regarding acute treatments in stroke patients.

Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services

BackgroundIn emergency medical services (EMSs), accurately predicting the severity of a patient’s medical condition is important for the early identification of those who are vulnerable and at high-risk. In this study, we developed and validated an artificial intelligence (AI) algorithm based on deep learning to predict the need for critical care during EMS.MethodsWe conducted a retrospective observation cohort study. The algorithm was established using development data from the Korean national emergency department information system, which were collected during visits in real time from 151 emergency departments (EDs). We validated the algorithm using EMS run sheets from two EDs. The study subjects comprised adult patients who visited EDs. The endpoint was critical care, and we used age, sex, chief complaint, symptom onset to arrival time, trauma, and initial vital signs as the predicted variables.ResultsThe number of patients in the development data was 8,981,181, and the validation data comprised 2604 EMS run sheets from two hospitals. The area under the receiver operating characteristic curve of the algorithm to predict the critical care was 0.867 (95% confidence interval, [0.864–0.871]). This result outperformed the Emergency Severity Index (0.839 [0.831–0.846]), Korean Triage and Acuity System (0.824 [0.815–0.832]), National Early Warning Score (0.741 [0.734–0.748]), and Modified Early Warning Score (0.696 [0.691–0.699]).ConclusionsThe AI algorithm accurately predicted the need for the critical care of patients using information during EMS and outperformed the conventional triage tools and early warning scores.

Unnecessary Emergency Medical Services Transports of Geriatric Patients in a Tertiary Hospital in South Korea

Summary Background This study investigated unnecessary emergency medical services (EMS) transports by comparing geriatric patients treated and not treated at the emergency department (ED) after EMS transports, and factors associated with lack of treatment at the ED of geriatric patients after EMS transports. Methods A retrospective review of EMS run sheets was conducted for geriatric patients (≥age 65) admitted by EMS. Study subjects were divided in two groups according to if they were treated at the ED (ED treatment group) or not treated (non-ED treatment group). General demographics, clinical demographics and prehospital treatment were compared between groups. Results Of the total of 1251 EMS run sheets, non-ED treatment group comprised 49 (3.9%) of patients. Elapsed time from scene to ED was longer with the non-ED treatment group. Oxygen saturation was lower in the ED treatment group than the non-ED treatment group and wound care was more frequently conducted in the non-ED treatment group. Causes of not receiving treatment at the ED were against medical advice (37%) and based on doctors' suggestion (67%). Conclusion The non-ED treatment group consisted of more patients with alcohol intake, higher oxygen saturation, alert mentality and wound care than the ED treatment group. Prehospital wound care was the risk factor for not receiving ED treatment after EMS transports in geriatric patients.

Presence of undertriage and overtriage in simple triage and rapid treatment.

We evaluated the use of the Simple Triage and Rapid Treatment (START) method by Emergency Medical Services (EMS) and hypothesized that EMS can categorize patients using the START algorithm accurately. Retrospective Chart Review. Inner-city Tertiary-Care Institutional Emergency Department (ED). Patients ≥ 18 years transported by EMS with a START color of Red, Yellow, or Green during the state triage tag exercise, October 9-15, 2011. EMS assigned each patient a START triage tag. Chart review of the electronic EMS run sheets was performed by investigators to determine a START color. START triage colors were re-categorized as Red = 1, Yellow = 2, and Green = 3. The difference between the investigators' color and EMS color were coded as: 0 for agreement in triage, -1 for undertriage by one category, -2 for undertriage by two categories, 1 for overtriage by one category, 2 for overtriage by two categories. Of 224 participants, START triage colors were: Red = 7.1 percent, Yellow = 19.2 percent, Green = 73.7 percent. The mean difference in triage categories was 0.228 (95% CI: 0.114-0.311, p<.001). 71.0 percent of patients were triaged to the same category, 5.8 percent undertriaged by one category, 0 percent undertriaged by two categories, 17.9 percent overtriaged by one category, and 5.4 percent overtriaged by two categories. EMS was more likely to overtriage using START. All patients who were overtriaged by two categories were ambulatory at the scene, which implies other findings not in START may affect triage.

Epidemiology and aetiology of impaired level of consciousness in prehospital nontrauma patients in an urban setting.

There is little information on the epidemiology and aetiology of nontraumatic loss of consciousness in patients in the Emergency Department, and this high-risk patient group has been poorly characterized in the prehospital setting as well. The aim of this study was to study the epidemiology and aetiology of nontraumatic impaired level of consciousness among the patients treated by an urban Emergency Medical Service (EMS) system in Finland. Data of all emergency calls not related to trauma in an urban EMS system in southern Finland during 2012 were analysed. The inclusion criterion in this study was impaired level of consciousness as identified from the EMS run sheets. Diagnoses made in the receiving facility were cross-checked with the data. During the study period, the EMS was alerted to 22 184 emergency calls. Of these, 306 calls met the inclusion criterion. The included patients could be categorized into four groups: seizures (32%), diabetes (24%), intoxication (17%) and impaired level of consciousness with no other obvious or specific cause (27%). The overall case fatality rate was 8%. Of all EMS calls, patients who presented with an impaired level of consciousness represented 1.4% of all patients, but the fatality rate in those who remained with an impaired level of consciousness during the prehospital phase was considerable. Impaired level of consciousness was associated with a multitude of aetiologies, of which seizures were the most common.

A study on the disaster medical response during the Mauna Ocean Resort gymnasium collapse.

ObjectiveTo investigate and document the disaster medical response during the Gyeongju Mauna Ocean Resort gymnasium collapse on February 17, 2014.MethodsOfficial records of each institution were verified to select the study population. All the medical records and emergency medical service run sheets were reviewed by an emergency physician. Personal or telephonic interviews were conducted, without a separate questionnaire, if the institutions or agencies crucial to disaster response did not have official records or if information from different institutions was inconsistent.ResultsOne hundred fifty-five accident victims treated at 12 hospitals, mostly for minor wounds, were included in this study. The collapse killed 10 people. Although the news of collapse was disseminated in 4 minutes, dispatch of 4 disaster medical assistance teams took at least 69 minutes to take the decision of dispatch. Four point five percent were treated at the accident site, 56.7% were transferred to 2 hospitals that were nearest to the collapse site, and 42.6% were transferred to hospitals that were poorly prepared to handle disaster victims.ConclusionIn the Gyeongju Mauna Ocean Resort gymnasium collapse, the initial triage and distribution of patients was inefficient and medical assistance arrived late. These problems had also been noted in prior mass casualty incidents.

Chest Compression Injuries Detected via Routine Post-arrest Care in Patients Who Survive to Admission after Out-of-hospital Cardiac Arrest

Objective. To examine injuries produced by chest compressions in out-of-hospital cardiac arrest (OHCA) patients who survive to hospital admission. Methods. A retrospective cohort study was conducted among 235 consecutive patients who were hospitalized after nontraumatic OHCA in Minnesota between January 2009 and May 2012 (117 survived to discharge; 118 died during hospitalization). Cases were eligible if the patient had received prehospital compressions from an emergency medical services (EMS) provider. One EMS provider in the area was using a mechanical compression device (LUCASTM) as standard equipment, so the association between injury and use of mechanical compression was also examined. Prehospital care information was abstracted from EMS run sheets, and hospital records were reviewed for injuries documented during the post-arrest hospitalization that likely resulted from compressions. Results. Injuries were identified in 31 patients (13%), the most common being rib fracture (9%) and intrathoracic hemorrhage (3%). Among those who survived to discharge, the mean length of stay was not statistically significantly different between those with injuries (13.5 days) and those without (10.8 days; p = 0.23). Crude injury prevalence was higher in those who died prior to discharge, had received compressions for >10 minutes (versus ≤10 minutes) and underwent computer tomography (CT) imaging, but did not differ by bystander compressions or use of mechanical compression. After multivariable adjustment, only compression time > 10 min and CT imaging during hospitalization were positively associated with detected injury (OR = 7.86 [95% CI = 1.7–35.9] and 6.30 [95% CI = 2.6–15.5], respectively). Conclusion. In patients who survived OHCA to admission, longer duration of compressions and use of CT during the post-arrest course were associated positively with documented compression injury. Compression-induced injuries detected via routine post-arrest care are likely to be largely insignificant in terms of length of recovery.

A trend in epidemiology and outcomes of out-of-hospital cardiac arrest by urbanization level: A nationwide observational study from 2006 to 2010 in South Korea

BackgroundThe goal of this study is to better understand the trend in epidemiological features and the outcomes of emergency medical service (EMS)-assessed out-of-hospital cardiac arrest (OHCA) according to the community urbanization level: metropolitan, urban, and rural. MethodsThis study was performed within a nationwide EMS system with a single-tiered basic-to-intermediate service level and approximately 900 destination hospitals for eligible OHCA cases in South Korea (with 48 million people). A nationwide OHCA database, which included information regarding demographics, Utstein criteria, EMS, and hospital factors and outcomes, was constructed using the EMS run sheets of eligible cases who were transported by 119 EMS ambulances and followed by a medical record review from 2006 to 2010. Cases with an unknown outcome were excluded. The community urbanization level was categorized according to population size, with metropolitan areas (more than 500,000 residents), urban areas (100,000–500,000 residents), and rural areas (<100,000 residents). The primary end point was the survival to discharge rate. Age- and sex-adjusted survival rates (ASRs) and standardized survival ratios (SSRs) with 95% confidence intervals (CIs) were calculated compared to a standard population. The adjusted odds ratios (AORs) and 95% CIs for survival were calculated and adjusted for potential risk factors using stratified multivariable logistic regression analysis. ResultsThere were 97,291 EMS-assessed OHCAs with 73,826 (75.9%) EMS-treated cases analyzed, after excluding the patients with unknown outcome (N=4172). The standardized incidence rate increased from 37.5 in 2006 to 46.8 in 2010 per 100,000 person-years for EMS-assessed OHCAs, and the survival rate was 3.0% for EMS-assessed OHCAs (3.3% for cardiac etiology and 2.3% for non-cardiac etiology) and 3.6% for EMS-treated OHCAs. Significantly different trends were found by urbanization level for bystander CPR, EMS performance, and the level of the destination hospital. The ASRs for survival were significantly improved by year in the metropolitan areas (3.6% in 2006 to 5.3% in 2010) but remained low in the urban areas (1.4% in 2006 to 2.3% in 2010) and very low in the rural areas (0.5 in 2006 and 0.8 in 2010). The SSRs (95% CIs) in the metropolitan areas were 1.19 (1.06–1.34) in 2006 and 1.77 (1.64–1.92) in 2010, whereas the SSRs were observed to be less than 1.00 during the five-year period in both urban and rural areas. The AORs (95% CIs) for survival significantly increased to 1.42 (1.22–1.66) in the metropolitan areas and to 1.58 (1.18–2.11) in the urban areas while not increasing in the rural areas, compared to the level of each group of areas in 2006. ConclusionsIn this nationwide cohort study from 2006 to 2010, the standardized incidence rate and survival to discharge rate of EMS-assessed OHCAs increased annually in metropolitan and urban communities but did not increase in rural communities. Further investigations should be undertaken to improve the performance and outcomes in rural communities.

A comparison of outcomes of out-of-hospital cardiac arrest with non-cardiac etiology between emergency departments with low- and high-resuscitation case volume

ObjectivesIt is unclear whether outcome after out-of-hospital cardiac arrest (OHCA) of non-cardiac etiology (NCE) is associated with the volume of patients with OHCA received annually at the emergency department (ED) where they receive treatment. This study evaluated whether the volume of patients treated is associated with better outcomes for non-cardiac OHCA patients. MethodsThis study was performed in an emergency medical service (EMS) system with a single-tiered basic-to-intermediate service level and approximately 410 destination hospitals for eligible OHCA cases. A nationwide OHCA database (2006–2008), constructed from EMS run sheets, and a hospital medical record review were used. OHCA was defined as pulseless and unresponsive in the field. Included in the study were cases treated with OHCA whose etiology was non-cardiac. Excluded were cases with unknown hospital outcome. The cutoff number for a high volume (HV) versus a low volume (LV) of cardiopulmonary resuscitation (CPR) cases was calculated using a threshold model. The primary end points were survival to admission and survival to discharge. The adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) for the endpoints were calculated, adjusting for potential predictors. ResultsThere were 10,425 eligible patients (trauma 5735; drowning 98; poisoning 684; asphyxia 1413; and hanging 1605). The survival-to-admission and the survival-to-discharge rates of the study participants were 9.6% and 2.4%, respectively. The cutoff number for case volume was 38 per year. The rates of survival to admission and survival to discharge were significantly higher in the HV (18.6% and 5.1%, respectively) group when compared to the LV group (5.9% and 1.3%, respectively). For the treated, non-cardiac OHCA patients, the adjusted ORs in the HV group compared to the LV group were 2.16 for survival to admission (95% CI: 1.84–2.55) and 2.58 for survival to discharge (95% CI: 1.90–3.52). The survival-to-discharge rate was significantly higher in the HV group than in the LV group for each cause: trauma 2.1% vs. 0.6%, drowning 6.8% vs. 1.9%, poisoning 8.6% vs. 1.7%, asphyxia 13.5% vs. 3.8%, and hanging 5.2% vs. 1.3%, respectively. ConclusionThis national cohort study suggests that greater survival to admission as well as discharge for patients with OHCA of NCE is associated with greater annual volume of patients with OHCA treated at that hospital.

Epidemiology and outcomes of poisoning-induced out-of-hospital cardiac arrest

ObjectivesWe aimed to describe and compare the epidemiologic features and outcomes among patients with poisoning-induced out-of-hospital cardiac arrests (POHCAs) according to causative agent groups. MethodsWe identified emergency medical service (EMS)-treated POHCA patients from a nationwide OHCA registry between 2006 and 2008, which was derived from EMS run sheets and followed by hospital record review. Utstein elements were collected and hospital outcomes (survival to admission and to discharge) were measured. We compared risk factors and outcomes according to the main poisons. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated from a multivariate logistic regression model for hospital outcomes. ResultsThe total number of non-cardiac aetiology OHCAs was 20,536. Of these, the number of EMS-assessed and EMS-treated POHCAs was 900 (4.4%). For EMS-treated POHCAs, insecticides (n=111, 15.5%) including organophosphate and carbamates; herbicides (n=94, 13.2%); unknown pesticides (n=142, 19.9%); non-pesticide drugs (n=120, 16.8%); and unknown poisons (n=247, 6%) were identified. The survival to admission rate was 22.5% for insecticides, 3.2% for herbicides, 16.2% for unknown pesticides, 16.7% for non-pesticides and 11.3% for the unknown group. The survival to discharge rates were 9.9% for insecticides, 0.0% for herbicides, 2.1% for unknown pesticides, 3.3% for non-pesticides and 3.2% for the unknown group. The adjusted OR for each group for survival to admission was significantly lower when compared with insecticides: herbicides (OR=0.11, 95% CI=0.03–0.44), non-pesticide drugs (OR=0.28, 95% CI=0.13–0.61) and unknown group (OR=0.40, 95% CI=0.21–0.76). The adjusted OR for each group for survival to discharge was significantly lower when compared with insecticides: herbicides (OR<0.01, 95% CI<0.01 or >99.9), unknown pesticides (OR=0.23, 95% CI=0.0.06–0.87), non-pesticide drugs (OR=0.14, 95% CI=0.04–0.54) and unknown group (OR=0.30, 95% CI=0.11–0.83). ConclusionUsing a nationwide OHCA registry, we found that poisonings were responsible for 4.4% of OHCAs of a non-cardiac aetiology. Ingestion of insecticides including organophosphate and carbamate was associated with more favourable outcomes.

The Efficacy of Pediatric Advanced Life Support Training in Emergency Medical Service Providers

Pediatric advanced life support (PALS) teaches skills unique to pediatric resuscitation. The purpose of this study was to assess the effect of PALS training among emergency medical service (EMS) providers in out-of-hospital trauma and medical resuscitations. A physician panel evaluated all EMS run sheets of pediatric traumas and medical resuscitations brought to a tertiary children's hospital/regional trauma center over a 3-year period. In 183 responses, EMS personnel were the sole providers of medical stabilization. Evaluation included the ability to secure an airway, establish vascular access, shock recognition, and appropriate cardiac rhythm assessment and resuscitation. The panel was blinded to the PALS training status of the responding EMS squad until completion of the review. Pediatric advanced life support-trained EMS personnel responded to 36% of the resuscitations reviewed. A significant difference in successful intubations was noted in PALS-trained squads compared with squads with no PALS training (85% vs 48%; P < 0.001). A significant difference was also noted in the ability to obtain vascular access in shock/arrest cases (100% vs 70%; P < 0.001). Similarly, PALS-trained squads were more successful in intraosseous line placement than non-PALS-trained squads (100% vs 55%; P < 0.01). However, despite better procedural skills, there was no difference in mortality rates between the groups (37% PALS vs 32% non-PALS). We conclude that PALS training improves procedural skills among EMS personnel and should be strongly considered as part of EMS training.

E FFECTIVENESS OF A M EDICAL P RIORITY D ISPATCH P ROTOCOL FOR A BDOMINAL P AIN

Objective. Medical Priority Dispatch System (MPDS) protocols are used to determine the appropriate level of emergency medical services (EMS) response that is sent to care for patients in the prehospital setting. The objective of this study was to determine the proportion of patients with abdominal pain who would benefit from advanced life support (ALS) when called for by these protocols. Methods. All 9-1-1 calls were processed using MPDS protocols to determine whether the patient required ALS or basic life support (BLS) services. Consecutive patients having an ALS response for a chief complaint of abdominal pain were included. Dispatch decisions that did not follow the MPDS protocols, and cases taken to facilities other than the primary study hospitals, were excluded. EMS run sheets and hospital records were reviewed to determine: 1) whether prehospital ALS interventions were required, 2) emergency department (ED) disposition, 3) hospital course, and 4) final diagnosis. Calls were classified according to the need for ALS and the seriousness of the subsequent diagnosis. Data analysis was performed by determining 95% confidence intervals (CIs). Results. Of the 343 patients classified as 1C1 or 1C2 who were transported by ALS during the time period, 227 (67%) were transported to the study hospitals. Nine (4%) were excluded because of inappropriate dispatch, leaving 218 for analysis. Hospital records were available for 186 (86%) cases, of which 12 (6%; CI 3%, 9%) were potentially life-threatening, requiring ALS intervention. Seventeen (9%; CI 5%, 1%) were non-life-threatening, but potentially benefited from ALS intervention. The remaining 157 (84%; CI 79%, 89%) were classified as not requiring ALS. Conclusions. Use of age- and gender-specific MPDS protocols for patients with a chief complaint of abdominal pain results in significant overtriage and overuse of ALS. Steps should be taken to develop key questions that provide more accurate classification of these patients that goes beyond age and gender classification alone.