Emergency Medical Services Response Time Research Articles

Racing against time: Emergency ambulance dispatches and response times, a register-based study in Region Zealand, Denmark, 2013-2022.

The global strain on Emergency Medical Services (EMS) is reflected in the increasing number of emergency ambulance dispatches. Shorter EMS response times have demonstrated some effect on very specific and rare conditions. It is unknown if the increased number of ambulance dispatches compromises response times. This study aimed to describe trends in emergency ambulance dispatches and response times from 2013 to 2022 in Region Zealand, Denmark. Additionally, it aimed to outline the demographic profile of emergency ambulance patients, including age and comorbidities. Using administrative data from the Region Zealand emergency medical dispatch center, a register-based study spanning from January 1, 2013, to December 31, 2022, was conducted. Data were linked with nationwide registries and priority A (emergency), or B (urgent) ambulance dispatches were included. Trends were examined overall and stratified by catchment areas corresponding to the hospitals with emergency departments in the region. Poisson and ordinal logistic regressions were used to analyze data. The study encompassed 678,789 emergency ambulance dispatches, with 55.0% priority A and 45.0% priority B. Among these, 667,788 had a valid personal identification number allowing for further analysis. Within the study population, females comprised 48.5%, while 49.1% of patients were 65years or more. Overall, 47.5% of patients had no comorbidities, while 7.7% and 44.8% had mild and severe comorbidities, respectively. Emergency ambulance dispatches increased from 56,867 in 2013 to 81,080 in 2022 (143%). Correspondingly, the dispatch incidence rate per 1,000 residents per year increased from 69.2 to 95.5. Stratification by catchment areas revealed significant disparities. The median response time for priority A dispatches increased from 7min:14s in 2013 to 8min:20s in 2022 and for priority B dispatches from 12min:23s to 15min:6s. From 2013 to 2022, emergency ambulance dispatches both priorities A and B increased in absolute numbers and per 1000 residents per year. Ambulance response times also increased for both priorities during the study period. The study shows regional disparities regarding to the rate of emergency ambulance dispatches and response times indicating challenges in resource distribution in the future for maintaining emergency care standards.

Endogeneity of pedestrian survival time and emergency medical service response time: Variations across disadvantaged and non-disadvantaged communities

The Vision Zero-Safe Systems Approach prioritizes fast access to Emergency Medical Services (EMS) to improve the survivability of road users in transportation crashes, especially concerning the recent increase in pedestrian-involved crashes. Pedestrian crashes resulting in immediate or early death are considerably more severe than those taking longer. The time gap between injury and fatality is known as survival time, and it heavily relies on EMS response time. The characteristics of the crash location may be associated with EMS response and survival time. A US Department of Transportation initiative identifies communities often facing challenges. Six disadvantaged community (DAC) indicators, including economy, environment, equity, health, resilience, and transportation access, enable an analysis of how survival and EMS response times vary across DACs and non-DACs. To this end, this study created a unique and comprehensive database by linking DACs data with 2017–2021 pedestrian-involved fatal crashes. This study utilizes two-stage residual inclusion models with segmentation for DACs and non-DACs accounting for the endogenous relationship between EMS response and pedestrian survival time. The results indicate that EMS response time is higher and pedestrian survival time is lower in DACs than in non-DACs. A delayed EMS response time is associated with a greater reduction in survival time in DACs compared to non-DACs. Factors, e.g., nighttime and interstate crashes, contribute to higher EMS response time, while pedestrian drugs, driver speeding, and hit-and-run behaviors are associated with a greater reduction in survival time in DACs than non-DACs. The implications of the findings are discussed in the paper.

Professionalizing Emergency Medical Service Response Time

Abstract Prompt responses by emergency medical services (EMSs) are crucial in delivering efficient prehospital emergency treatment. The prompt arrival of EMS is strongly correlated with improved patient outcomes and increased chances of survival. To reduce the occurrence of long-term impairment or illness, the majority of EMS companies follow globally acknowledged response time benchmarks. Internationally, EMSs strive to achieve a response time of 8 min or less for 90% of life-threatening incidents. This research examines many variables that influence EMS response times and their subsequent consequences on patient outcomes. The measurement of response time starts with receipt of a clinical complaint call and concludes upon the arrival of EMS at the site. Timely and effective reactions are essential for the survival of patients, particularly in urgent medical situations. In contrast, there are data indicating that longer reaction times are associated with increased death rates. Various obstacles might hinder prompt EMS responses, including geographical obstacles, unfavorable weather and traffic conditions, and patient-specific considerations such as the kind of injury or sickness, medical history, age, and gender. In addition, a lack of staff, including insufficient workers, poor training, and the absence of standardized, up-to-date technology that simplify care delivery, may also cause delays in response times. Due to the crucial importance of EMS response times in prehospital emergency treatment, it is essential for EMS systems to make every effort to meet their response time goals.

Influence of patient body weight on the probability of return of spontaneous circulation following out-of-hospital cardiac arrest: an exploratory analysis.

In addition to key interventions, including bystander CPR and defibrillation, successful resuscitation of out-of-hospital cardiac arrest (OHCA) is also associated with several patient-level factors, including a shockable presenting rhythm, younger age, Caucasian race and female sex. An additional patient-level factor that may influence outcomes is patient weight, yet this attribute has not been extensively studied within the context of OHCA, despite globally increasing obesity rates. To assess the relationship between patient weight and return of spontaneous circulation (ROSC) during OHCA. This retrospective study included adult patients from a national emergency medical services (EMS) patient record, with witnessed, non-traumatic OHCA prior to EMS arrival from January to December 2020. Logistic regression was used to evaluate the relationship between patient weight and ROSC. Complete records were available for 9096 patients, of which 64.3% were males and 25.3% were ethnic minorities. The mean age of the participants was 65.01 years (SD = 15.8), with a mean weight of 93.52 kg (SD = 31.5). Altogether, 81.8% of arrests were of presumed cardiac aetiology and 30.3% presented with a shockable rhythm. Bystander CPR and automated external defibrillator (AED) shock were performed in 30.6% and 7.3% of cases, respectively, and 44.0% experienced ROSC. ROSC was less likely with patient weight >100 kg (OR = 0.709, p <0.001), male sex (OR = 0.782, p <0.001), and increasing age and EMS response time (OR = 0.994 per year, p <0.001 and OR = 0.970 per minute, p <0.001, respectively). Patients with shockable rhythms were more likely to achieve ROSC (OR = 1.790, p <0.001), as were patients receiving bystander CPR (OR = 1.170, p <0.001) and defibrillation prior to EMS arrival (OR = 1.658, p <0.001). Although the mean first adrenaline dose (mg/kg) followed a downward trend due to its non-weight-based dosing scheme, the mean total adrenaline dose administered to achieve ROSC demonstrated an upward linear trend of 0.05 mg for every 5 kg of body weight. Patient weight was negatively associated with ROSC and positively associated with the total adrenaline dose required to attain ROSC.

Added predictive value of prehospital measurement of point-of-care lactate in an adult general EMS population in Sweden: a multi-centre observational study

BackgroundEmergency medical services (EMS) personnel must rapidly assess and transport patients with time-sensitive conditions to optimise patient outcomes. Serum lactate, a valuable in-hospital biomarker, has become more accessible in EMS settings through point-of-care (POC) testing. Although POC lactate levels are valuable in specific patient groups, its broader application in EMS remains unclear. This study assessed the additional predictive value of POC lactate levels in a general adult EMS population.MethodsThis prospective observational study (March 2018 to September 2019) involved two EMS organisations in Västra Götaland, Sweden. Patients were triaged using the Rapid Triage and Treatment System (RETTS). POC lactate levels were measured using StatStrip Xpress devices. Non-consecutive patients who received EMS and were aged 18 years and above were available for inclusion if triaged into RETTS levels: red, orange, yellow, or green if respiratory rate of ≥ 22 breaths/min. Outcomes were adverse outcomes, including a time-sensitive diagnosis, sequential organ failure assessment (SOFA) score ≥ 2, and 30-day mortality. Statistical analyses included descriptive statistics, imputation, and regression models to assess the impact of the addition of POC lactate levels to a base model (comprising patient age, sex, presence of past medical conditions, vital signs, pain, EMS response time, assessed triage condition, and triage level) and a RETTS triage model.ResultsOf 4,546 patients (median age 75 [57, 84] years; 49% male), 32.4% had time-sensitive conditions, 12.5% met the SOFA criteria, and 7.4% experienced 30-day mortality. The median POC lactate level was 1.7 (1.2, 2.5) mmol/L. Patients with time-sensitive conditions had higher lactate levels (1.9 mmol/L) than those with non-time-sensitive conditions (1.6 mmol/L). The probability of a time-sensitive condition increased with increasing lactate level. The addition of POC lactate marginally enhanced the predictive models, with a 1.5% and 4% increase for the base and RETTS triage models, respectively. POC lactate level as a sole predictor showed chance-only level predictive performance.ConclusionsPrehospital POC lactate assessment provided limited additional predictive value in a general adult EMS population. However, it may be beneficial in specific patient subgroups, emphasizing the need for its judicious use in prehospital settings.

Association between EMS response times, low socioeconomic status, and poorer outcomes in out-of-hospital cardiac arrest: the MEDIC multicenter retrospective cohort study for disparities in access to prehospital critical care in the Paris metropolitan area

Background and importance Prolonged emergency medical services’ response times (EMS-RT) are associated with poorer outcomes in out-of-hospital cardiac arrest (OHCA). The patient access time interval (PATI), from vehicle stop until contact with patient, may be increased in areas with low socioeconomic status (SES). Objectives The objective of this study is to identify predictors of prolonged EMS-RT intervals, and to evaluate associations with clinical outcomes in OHCAs occurring in the largest metropolitan area in France. Design Using the Utstein-style, prospectively implemented, population-based SDEC registry for OHCAs, we conducted a multicenter, region-wide, retrospective cohort study of EMS dispatches for OHCA cases occurring in the 152 cities of the Greater Paris area, France, between January 1, 2017 and December 31, 2018. Settings and participants Adult, nontraumatic, EMS-assessed, non-EMS witnessed OHCAs. Exposure Geographic location and scene-level SES. Outcome measures and analysis The primary outcome was the EMS-RT interval, from activation until arrival at patient’s side. As secondary outcomes, we evaluated patient access outcomes of: (1) dispatch-to-patient contact interval (‘EMS-RT’); and (2) vehicle scene arrival-to-patient contact interval (PATI); and patient clinical outcomes of: (1) death; and (2) unfavorable neurological status, both at 30 days. Area-level SES was assessed at census tract level using the European Deprivation Index (EDI; continuous, and divided into quintiles, Q5 = most deprived). We fitted multilevel mixed-effects regression models to identify predictors of patient access outcomes, and their association with clinical outcomes. Main results We included 4082 cases; the median EMS-RT was 10.85 min (interquartile range [8.87–13.15]), and 138 (3.4%) survived to hospital discharge. Independent predictors of increased EMS-RT and PATI were age &gt;65, female sex, residential location, occurrence at elevated floors, arrest unwitnessed by a bystander, and low EDI (all P &lt; 0.018). After multivariable analysis, an overall EMS-RT interval &gt;8 min was associated with higher mortality and poorer neurological status at hospital discharge (both P &lt; 0.001). Conclusion In OHCA cases occurring in the Greater Paris metropolitan area, after adjustment for scene characteristics, EMS delays until patient contact were longer in neighborhoods of low SES, and were associated with poorer clinical outcomes.

Emergency Medical Service Transport Time in Rural Farm and Non-Farm Pediatric Trauma

ABSTRACT Objectives Pediatric farm injuries tend to be more severe and have poorer outcomes compared to injuries sustained in non-farm settings. Timely emergency medical service (EMS) response and transport to definitive care is crucial for optimizing outcomes for trauma patients. We aimed to determine if pediatric farm injuries were associated with longer EMS response and transport times compared to pediatric non-farm injuries in rural communities. Methods The 2021 National EMS Information System (NEMSIS) database was used to identify rural EMS activations where injured pediatric patients who were transported to a hospital. Median transport times for farm and non-farm injuries, as well as other components of prehospital time and use of air EMS transport, were compared between injuries on farms and injuries in non-farm rural settings. Results The analytic sample included 22,248 rural EMS activations for pediatric injuries, of which 156 (1%) were for pediatric farm injuries. For non-farm and farm injuries, the median transport times were 20 minutes and 28 minutes, respectively. Median total prehospital time was 50 minutes compared to 62 minutes, and 9.8% of patients with non-farm injuries versus 20.5% of those with farm injuries were transported to a hospital by air EMS units. After multivariable adjustment, farm vs. non-farm injury location was associated with a 4 minute increase in EMS transport time, but no difference in initial EMS response time, EMS time on scene, or use of air EMS units. Conclusion Among children sustaining an injury that resulted in rural EMS activation, farm injuries were associated with prolonged transport time compared to non-farm injuries, which may contribute to worse in-hospital outcomes described to pediatric farm injuries in prior research.

Cardiac Arrest and Cardiopulmonary Resuscitation Outcome Reports: 2024 Update of the Utstein Out-of-Hospital Cardiac Arrest Registry Template.

The Utstein Out-of-Hospital Cardiac Arrest Resuscitation Registry Template, introduced in 1991 and updated in 2004 and 2015, standardizes data collection to enable research, evaluation, and comparisons of systems of care. The impetus for the current update stemmed from significant advances in the field and insights from registry development and regional comparisons. This 2024 update involved representatives of the International Liaison Committee on Resuscitation and used a modified Delphi process. Every 2015 Utstein data element was reviewed for relevance, priority (core or supplemental), and improvement. New variables were proposed and refined. All changes were voted on for inclusion. The 2015 domains-system, dispatch, patient, process, and outcomes-were retained. Further clarity is provided for the definitions of out-of-hospital cardiac arrest attended resuscitation and attempted resuscitation. Changes reflect advancements in dispatch, early response systems, and resuscitation care, as well as the importance of prehospital outcomes. Time intervals such as emergency medical service response time now emphasize precise reporting of the times used. New flowcharts aid the reporting of system effectiveness for patients with an attempted resuscitation and system efficacy for the Utstein comparator group. Recognizing the varying capacities of emergency systems globally, the writing group provided a minimal dataset for settings with developing emergency medical systems. Supplementary variables are considered useful for research purposes. These revisions aim to elevate data collection and reporting transparency by registries and researchers and to advance international comparisons and collaborations. The overarching objective remains the improvement of outcomes for patients with out-of-hospital cardiac arrest.

Cardiac arrest and cardiopulmonary resuscitation outcome reports: 2024 update of the Utstein Out-of-Hospital Cardiac Arrest Registry template

The Utstein Out-of-Hospital Cardiac Arrest Resuscitation Registry Template, introduced in 1991 and updated in 2004 and 2015, standardizes data collection to enable research, evaluation, and comparisons of systems of care. The impetus for the current update stemmed from significant advances in the field and insights from registry development and regional comparisons. This 2024 update involved representatives of the International Liaison Committee on Resuscitation and used a modified Delphi process. Every 2015 Utstein data element was reviewed for relevance, priority (core or supplemental), and improvement. New variables were proposed and refined. All changes were voted on for inclusion. The 2015 domains—system, dispatch, patient, process, and outcomes—were retained. Further clarity is provided for the definitions of out-of-hospital cardiac arrest attended resuscitation and attempted resuscitation. Changes reflect advancements in dispatch, early response systems, and resuscitation care, as well as the importance of prehospital outcomes. Time intervals such as emergency medical service response time now emphasize precise reporting of the times used. New flowcharts aid the reporting of system effectiveness for patients with an attempted resuscitation and system efficacy for the Utstein comparator group. Recognizing the varying capacities of emergency systems globally, the writing group provided a minimal dataset for settings with developing emergency medical systems. Supplementary variables are considered useful for research purposes. These revisions aim to elevate data collection and reporting transparency by registries and researchers and to advance international comparisons and collaborations. The overarching objective remains the improvement of outcomes for patients with out-of-hospital cardiac arrest.

A study of prehospital EMS response time and influencing factors in the main urban area of Chongqing, China.

Shortening the prehospital emergency medical service (EMS) response time is crucial for saving lives and lowering mortality and disability rates in patients with sudden illnesses. Descriptive analyses of prehospital EMS response time and each component were conducted separately using ambulance trip data from the 120 Dispatch Command Centre in the main urban area of Chongqing in 2021, and then, logistic regression analyses were used to explore the influencing factors. The median prehospital EMS response time in the main urban area of Chongqing was 14.52 min and the mean was 16.14 min. A 44.89% of prehospital EMS response time exceeded 15 min. Response time was more likely to surpass this threshold during peak hours and in high population density areas. Conversely, lower probabilities exceeding 15 min were observed during the night shift, summer, and autumn seasons, and areas with a high density of emergency station. 33.28% of preparation time was >3 min, with the night shift and high population density areas more likely to be >3 min, while for the summer and autumn seasons, high Gross National Product (GDP) per capita areas had a lower likelihood of having preparation time >3 min. 45.52% of travel time was >11 min, with peak hours, summer and autumn, and high GDP per capita areas more likely to have had a travel time >11 min, while night shift and high emergency station density areas had a lower likelihood of travel time >11 min. The primary factors influencing prehospital EMS response time were shifts, traffic scenarios, seasons, GDP per capita, emergency station density, and population density. Relevant departments can devise effective interventions to reduce response time through resource allocation and department coordination, staff training and work arrangement optimisation, as well as public participation and education, thereby enhancing the efficiency of prehospital emergency medical services.

Do differences in emergency medical services (EMS) response time to an arrest account for the survival differences between EMS-witnessed and bystander-witnessed out of hospital cardiac arrest?

IntroductionOut-of-hospital cardiac arrests (OHCA) witnessed by Emergency Medical Services (EMS) are reported to have more favourable survival than bystander-witnessed arrests, even after adjusting for patient and arrest factors known to be associated with increased OHCA survival. This study aims to determine whether the survival advantage in EMS-witnessed arrests can be attributed to differences in the EMS response time to the arrest. MethodsUsing registry data we conducted a retrospective, population-based cohort study of bystander- and EMS-witnessed OHCAs of medical aetiology who received an EMS resuscitation attempt in Western Australia between 2018–2021. EMS response time to arrest was assumed to be zero for EMS-witnessed arrests. Multivariable logistic regression was used to compare 30-day OHCA survival by witness and bystander CPR (B-CPR) status, adjusting for EMS response time to arrest, and patient and arrest characteristics. ResultsOf 2,130 OHCA cases, 510 (23.9%) were EMS-witnessed and 1620 were bystander-witnessed: 1318/1620 (81.4%) with B-CPR, and 302/1620 (18.6%) with no B-CPR. The median EMS response time to bystander-witnessed arrests who received B-CPR was 9.9 [Q1,Q3: 7.4, 13.3] minutes. After adjusting for the EMS response time and patient and arrest factors, 30-day survival remained significantly lower in both the bystander-witnessed group with B-CPR (aOR 0.56; 95% CI 0.34 – 0.91) and bystander-witnessed group without B-CPR (aOR 0.23; 95% CI 0.11 – 0.46). ConclusionAn increased EMS response time does not fully account for the higher OHCA survival in EMS-witnessed arrests compared to bystander-witnessed arrests.

Comparison of pre-hospital management of out-of-hospital cardiac arrest and its outcomes between the COVID-19 and pre-COVID-19 periods

Out-of-hospital cardiac arrest (OHCA) is a time-sensitive medical emergency that needs immediate interventions. COVID-19 affected the performance of the emergency medical service (EMS) system in pre-hospital care, including the management of cardiac arrest. This study aimed to identify the impact of the COVID-19 pandemic on pre-hospital management of out-of-hospital cardiac arrest and its outcome in Qom City, Iran. In this descriptive-analytical study, the data were collected from the electronic registration system of the EMS center in Qom, Iran. All OHCA patients who received resuscitation during COVID-19 and before COVID-19 were enrolled in the study. Data consisted of the characteristics of OHCA patients, EMS interventions and response times, and the outcome of OHCA. A P-value of <0.05 was deemed statistically significant. 630 OHCA patients in the COVID-19 period and 524 OHCA patients in the pre-COVID-19 period were included in the study. Endotracheal intubation and defibrillation were done more in the COVID-19 period than in the pre-COVID-19 period (50.2 % vs. 17 %, p<0.001 %, and 40.1 % vs. 22.5 %, p < 0.001, respectively). The EMS response time was longer during the COVID-19 pandemic (9.1 ± 3.9 min vs. 7.6 ± 1.4 min, p < 0.001). The rate of pre-hospital return of spontaneous circulation (ROSC) was lower in the COVID-19 period (15.6 % vs. 8.4 %, p < 0.001). According to univariate analysis, ROSC was predicted by COVID-19 (p < 0.001). However, COVID-19 was not the statistically significant independent predictor after multivariate analysis (p < 0.67). The COVID-19 pandemic period influenced OHCA and ROSC. Also, it affected pre-hospital management in the OHCA situation. The negative impact of COVID-19 on the EMS response reflected the need to know and remove barriers to managing crises such as COVID-19.

Prehospital Ground and Helicopter-Based Extracorporeal Cardiopulmonary Resuscitation (ECPR) Reduce Barriers to ECPR: A GIS Model

Introduction Evidence suggests that Extracorporeal Cardiopulmonary Resuscitation (ECPR) can improve survival rates for nontraumatic out-of-hospital cardiac arrest (OHCA). However, when ECPR is indicated over 50% of potential candidates are unable to qualify in the current hospital-based system due to geographic limitations. This study employs a Geographic Information System (GIS) model to estimate the number of ECPR eligible patients within the United States in the current hospital-based system, a prehospital ECPR ground-based system, and a prehospital ECPR Helicopter Emergency Medical Services (HEMS)-based system. Methods We constructed a GIS model to estimate ground and helicopter transport times. Time-dependent rates of ECPR eligibility were derived from the Resuscitation Outcome Consortium (ROC) database, while the Cardiac Arrest Registry to Enhance Survival (CARES) registry determined the number of OHCA patients meeting ECPR criteria within designated transportation times. Emergency Medical Services (EMS) response time, ECPR candidacy determination time, and on-scene time were modeled based on data from the EROCA trial. The combined model was used to estimate the total ECPR eligibility in each system. Results The CARES registry recorded 736,066 OHCA patients from 2013 to 2021. After applying clinical criteria, 24,661 (3.4%) ECPR-indicated OHCA were identified. When considering overall ECPR eligibility within 45 min from OHCA to initiation, only 11.76% of OHCA where ECPR was indicated were eligible in the current hospital-based system. The prehospital ECPR HEMS-based system exhibited a four-fold increase in ECPR eligibility (49.3%), while the prehospital ground-based system showed a more than two-fold increase (28.4%). Conclusions The study demonstrates a two-fold increase in ECPR eligibility for a prehospital ECPR ground-based system and a four-fold increase for a prehospital ECPR HEMS-based system compared to the current hospital-based ECPR system. This novel GIS model can inform future ECPR implementation strategies, optimizing systems of care.

Exploring paramedic perspectives on emergency medical service (EMS) delivery in Alberta: a qualitative study.

Emergency Medical Services (EMS) in Alberta are facing critical challenges. This qualitative study aims to describe and understand the frontline perspective regarding system level issues and propose provider-informed policy recommendations. 19 semi-structured one-on- one interviews were conducted with Primary or Advanced Care Paramedics (PCP/ACP) across Alberta. Participants were asked to share their perspectives, experiences and recommendations in relation to EMS response times and the working environment. Interviews were analyzed using thematic analysis to identify themes and subthemes. Two core themes were identified as areas of concern: poor response times and the EMS working environment, which each influence and impact the other. Within response times, paramedics highlighted specific difficulties with ED offloading, a lack of resources, low-acuity calls, and rural challenges. In terms of the EMS working environment, four subthemes were apparent including attrition, unhealthy culture, organizational barriers and the need for paramedic empowerment. Providers made many recommendations including creating and expanding emergency mobile integrated health (MIH) branches, sharing 811 and 911 responses, and enforcing ED target offload times amongst other suggestions. While response times are a key and highly visible problem, there are many critical factors like the EMS working environment that degrade patient care and cause concern amongst frontline practitioners. Multifaceted policy changes are to be explored to reduce disfunction within EMS services, enhance the well-being of the workforce and deliver improved patient care. Specific EMS-oriented policies are important for moving forward to reduce transfers to EDs, but the broader health system which is over capacity is causing downstream effects into EMS must be addressed by government and health administrators.

Socioeconomic disadvantage and long-term survival duration in out-of-hospital cardiac arrest patients: A population-based cohort study

BackgroundSocioeconomic status (SES) is a well-established determinant of cardiovascular health. However, the relationship between SES and clinical outcomes in long-term out-of-hospital cardiac arrest (OHCA) is less well-understood. The Singapore Housing Index (SHI) is a validated building-level SES indicator. We investigated whether SES as measured by SHI is associated with long-term OHCA survival in Singapore. MethodsWe conducted an open cohort study with linked data from the Singapore Pan-Asian Resuscitation Outcomes Study (PAROS), and the Singapore Registry of Births and Deaths (SRBD) from 2010 to 2020. We fitted generalized structural equation models, calculating hazard ratios (HRs) using a Weibull model. We constructed Kaplan–Meier survival curves and calculated the predicted marginal probability for each SHI category. ResultsWe included 659 cases. In both univariable and multivariable analyses, SHI did not have a significant association with survival. Indirect pathways of SHI mediated through covariates such as Emergency Medical Services (EMS) response time (HR of low-medium, high-medium and high SHI when compared to low SHI: 0.98 (0.88–1.10), 1.01 (0.93–1.11), 1.02 (0.93–1.12) respectively), and age of arrest (HR of low-medium, high-medium and high SHI when compared to low SHI: 1.02 (0.75–1.38), 1.08 (0.84–1.38), 1.18 (0.91–1.54) respectively) had no significant association with OHCA survival. There was no clear trend in the predicted marginal probability of survival among the different SHI categories. ConclusionsWe did not find a significant association between SES and OHCA survival outcomes in residential areas in Singapore. Among other reasons, this could be due to affordable healthcare across different socioeconomic classes.

The prediction of the survival in patients with severe trauma during prehospital care: Analyses based on NTDB database.

Traumas cause great casualties, accompanied by heavy economic burdens every year. The study aimed to use ML (machine learning) survival algorithms for predicting the 8-and 24-hour survival of severe traumas. A retrospective study using data from National Trauma Data Bank (NTDB) was conducted. Four ML survival algorithms including survival tree (ST), random forest for survival (RFS) and gradient boosting machine (GBM), together with a Cox proportional hazard model (Cox), were utilized to develop the survival prediction models. Following this, model performance was determined by the comparison of the C-index, integrated Brier score (IBS) and calibration curves in the test datasets. A total of 191,240 individuals diagnosed with severe trauma between 2015 and 2018 were identified. Glasgow Coma Scale (GCS), trauma type, age, SaO2, respiratory rate (RR), systolic blood pressure (SBP), EMS transport time, EMS on-scene time, pulse, and EMS response time were identified as the main predictors. For predicting the 8-hour survival with the complete cases, the C-indexes in the test sets were 0.853 (0.845, 0.861), 0.823 (0.812, 0.834), 0.871 (0.862, 0.879) and 0.857 (0.849, 0.865) for Cox, ST, RFS and GBM, respectively. Similar results were observed in the 24-hour survival prediction models. The prediction error curves based on IBS also showed a similar pattern for these models. Additionally, a free web-based calculator was developed for potential clinical use. The RFS survival algorithms provide non-parametric alternatives to other regression models to be of clinical use for estimating the survival probability of severe trauma patients.

Promoting Emergency Medical Service Infrastructure Equality to Reduce Road Crash Fatalities

Timely emergency medical service (EMS) is critical to mitigate outcomes of severe traffic crashes, especially in rural areas. The urban–rural inequality of the EMS infrastructure has been one of the factors contributing to a higher death rate for patients in rural road crashes. To address the spatial imbalance of EMS infrastructure, this study aimed to provide a methodological framework for evaluating the existing EMS infrastructure by taking South Korea’s EMS infrastructure expansion plans as the case study. Specifically, this study developed a road crash data-driven methodology to promote spatial balance and economical expansion of EMS infrastructure of all types, including EMS stations, hospitals, the helicopter fleet, and landing spots. Geographically weighted binary logit regression and spatial analysis identified strategic locations for prioritizing the EMS infrastructure expansion using crash victim data and road networks to close the gap between urban and rural areas. The analysis of access to existing EMS infrastructure showed that the 16 to 20 min EMS response time, including on-scene time and transport time ranging from 11 to 15 min, are significantly associated with higher crash fatalities. The results also suggested that EMS stations and heliports are inadequate to meet the EMS time thresholds in the central province of Korea. The findings of this research could inform policymakers as they are working toward expanding the EMS infrastructure and creating a more equitable EMS response when it comes to transporting rural road crash patients.

Association between prehospital time and in-hospital outcomes in out-of-hospital cardiac arrests according to resuscitation outcomes consortium epidemiologic registry

IntroductionFor out-of-hospital cardiac arrests (OHCAs), time is of the essence. While the relationship between EMS response time (ERT) and OHCA outcomes is well studied, a more comprehensive assessment of the effects of other intervention time is needed, which is essential to guide clinical practice. ObjectivesEvaluating how a longer total pre-hospital time (TPT), ERT, advance life support response time (ART) and EMS cardiopulmonary resuscitation time (ECT) increase the mortality rates, unfavorable neurological outcomes, and severe complications at discharge of OHCAs. Methods31,926 OHCAs from the USA and Canada were identified in Resuscitation Outcomes Consortium Epidemiologic Registry. Twelve adjusted models were used to analyze the relationship between the prehospital time (TPT, ERT, ART and ECT) and three outcomes (in hospital mortality, unfavorable neurological outcomes, and severe complications for surviving OHCAs). ResultsEvery 10-min increase in TPT was associated with a 0.14-fold increase in the risk of death (adjusted odds ratio [OR] = 1.14, 95 % confidence interval [CI] = 1.10–1.17) and a 0.13-fold increase of adverse neurological outcomes (OR = 1.13, CI =1.08–1.18). The risk of patient mortality markedly increased with every 5 min increase in ERT (OR = 1.36, CI = 1.26–1.47), ART (OR =1.10, CI = 1.06–1.15), and ECT (OR = 1.46, CI = 1.37–1.56). Adverse neurological outcome was associated with ERT and ECT, and severe complications with ERT and ART. ConclusionProlonged prehospital time, particularly ERT and ECT, are closely associated with in-hospital mortality, unfavorable neurological functions, and severe complications at discharge in OHCAs.

Impact of the COVID-19 pandemic on prehospital and in-hospital treatment and outcomes of patients after out-of-hospital cardiac arrest: a Japanese multicenter cohort study

BackgroundIn the chain of survival for Out-of-hospital cardiac arrest (OHCA), each component of care contributes to improve the prognosis of the patient with OHCA. The SARS-CoV-2 (COVID-19) pandemic potentially affected each part of care in the chain of survival. The aim of this study was to compare prehospital care, in-hospital treatment, and outcomes among OHCA patients before and after the COVID-19 pandemic.MethodsWe analyzed data from a multicenter prospective study in Kanto area, Japan, named SOS-KANTO 2017. We enrolled patients who registered during the pre-pandemic period (September 2019 to December 2019) and the post-pandemic period (June 2020 to March 2021). The main outcome measures were 30-day mortality and the proportion of favorable outcomes at 1 month, and secondary outcome measures were changes in prehospital and in-hospital treatments between the pre- and post-pandemic periods.ResultsThere were 2015 patients in the pre-pandemic group, and 5023 in the post-pandemic group. The proportion of advanced airway management by emergency medical service (EMS) increased (p < 0.01), and EMS call-to-hospital time was prolonged (p < 0.01) in the post- versus pre-pandemic group. There were no differences between the groups in defibrillation, extracorporeal membrane oxygenation, or temperature control therapy (p = 0.43, p = 0.14, and p = 0.16, respectively). Survival rate at 1 month and favorable outcome rate at 1 month were lower (p = 0.01 and p < 0.01, respectively) in the post- versus pre-pandemic group.ConclusionSurvival rate and favorable outcome rate 1 month after return of spontaneous circulation of OHCA worsened, EMS response time was prolonged, and advanced airway management by EMS increased in the post- versus pre-pandemic group; however, most prehospital and in-hospital management did not change between pre- and post-COVID-19 pandemic.

Associated Factors of Patients' Survival in Out of Hospital Cardiac Arrest; a Cross-sectional Study.

Chinese populations have an increasingly high prevalence of cardiac arrest. This study aimed to investigate the prehospital associated factors of survival to hospital admission and discharge among out-of-hospital cardiac arrest (OHCA) adult cases in Macao Special Administrative Region (SAR), China. Baseline characteristics as well as prehospital factors of OHCA patients were collected from publicly accessible medical records and Macao Fire Services Bureau, China. Demographic and other prehospital OHCA characteristics of patients who survived to hospital admission and discharge were analyzed using multivariate logistic regression analysis. A total of 904 cases with a mean age of 74.2±17.3 (range: 18-106) years were included (78%>65 years, 62% male). Initial shockable cardiac rhythm was the strongest predictor for survival to both hospital admission (OR=3.57, 95% CI: 2.26-5.63; p<0.001) and discharge (OR=12.40, 95% CI: 5.70-26.96; p<0.001). Being male (OR=1.63, 95% CI:1.08-2.46; p =0.021) and the lower emergency medical service (EMS) response time (OR=1.62, 95% CI: 1.12-2.34; p =0.010) were also associated with a 2-fold association with survival to hospital admission. In addition, access to prehospital defibrillation (OR=4.25, 95% CI: 1.78-10.12; p <0.001) had a 4-fold association with survival to hospital discharge. None of these associations substantively increased with age. The major OHCA predictors of survival were initial shockable cardiac rhythm, being male, lower EMS response time, and access to prehospital defibrillation. These findings indicate a need for increased public awareness and more education.