Uneven geography of health opportunities among subsidized households: Illustrating healthcare accessibility and walkability for public rental housing in Seoul, Korea.

Planners and policymakers significantly consider providing suitable living environments for marginalized households, beyond creating affordable homes. Previous studies have explored various socioeconomic attributes of neighborhoods with public rental housing (PRH), particularly regarding education, job, and transportation opportunities; however, we have a limited understanding of health opportunities among such subsidized households. This study, therefore, explores the accessibility and spatial equity of emergency medical services (EMS) and primary health care (PHC) for PRH residents in Seoul, Korea. The findings show that neighborhoods with PRHs are associated with lower odds ratios for EMS and PHC accessibility. In particular, the relationships between the locations of PRHs and medical services accessibility in neighborhoods varied across the types of PRHs. While neighborhoods with large-scale PRHs are associated with lower PHC access, those with small-scale PRHs are associated with lower EMS access. In addition, our findings show that PRHs tend to be located in neighborhoods with lower walkability. These results may help in empirically determining the spatial accessibility of PHC and EMS, as well as neighborhood walkability, which may affect the health status of individuals in subsidized households.

Analysis of barriers associated with emergency medical service activation in patients with acute stroke and acute myocardial infarction from Zhongjiang County of Sichuan Province in China.

OBJECTIVES: The purpose of this study was to investigate the preferred modes of transportation to the hospital among patients with acute stroke and acute myocardial infarction (AMI), as well as to identify the factors that influence the utilization of ambulances. METHODS: We conducted a cross-sectional study, including patients who were diagnosed with acute stroke and AMI, at the people's hospital of Zhongjiang, from September 30th, 2022 to August 30th, 2023. All patients were divided into emergency medical service (EMS)-activation group and self-transportation group. Chi-square and t-tests were utilized to discern differences between groups at baseline. To screen relevant variables, we employed the Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis using R package glmnet. Subsequently, we performed a logistic regression analysis to identify predictors of EMS activation according the results of LASSO regression. RESULTS: we collected 929 valid questionnaires. 26.16% of the patients required the services of EMS. 90.9% of individuals have not received any formal first aid education. 42.1% of them reported that they had no understanding of cardiovascular and cerebrovascular diseases. Diagnosed as AMI (OR 0.22, 95%CI 0.06 to 0.88) or acute cerebral infarction (OR 0.26, 0.10 to 0.68), the distance between the patient and the nearest 120 network hospital when the patient had these symptoms (OR 0.97, 0.94 to 0.99), the patient's son or daughter was there when the patient was symptomatic (OR 0.58, 0.37 to 0.94), the patient (OR 0.19, 0.05 to 0.72) and the patient's partner (wife or husband) (OR 0.36, 0.16 to 0.85) had decided that the patient needed further medical help, Among patients who did not seek immediate help after symptom onset, thinking that the symptoms will disappear spontaneously (OR 0.34, 0.13 to 0.92) or not wanting to disturb others (OR 0.06, 0.01 to 0.66) or believing that they are not important symptoms (OR 0.15, 0.05 to 0.42) were factors independently associated with less ambulance use. Age (OR 1.02, 1.00 to 1.04), Stroke patients have experienced symptoms of disturbance of consciousness or convulsions (OR 2.99, 1.72 to 5.2) were independent factors associated with increased ambulance use. CONCLUSION: There is still ambulance underutilization among patients with acute stroke and AMI in county territory of China. Moreover, it is needed to raise the level of first aid education and awareness about EMS. Additionally, private clinic doctors and the public should gain adequate understanding of the severity of acute stroke and AMI, as well as their common symptoms, the crucial importance of prompt medical intervention. Finally, we propose that all township hospitals should be integrated into the 120 emergency networks and equipped with emergency first aid capabilities, pre-hospital care, and transportation abilities.

Prior emergency medical services utilization is a risk factor for in-hospital death among patients with substance misuse: a retrospective cohort study.

BACKGROUND: Substance misuse poses a significant public health challenge, characterized by premature morbidity and mortality, and heightened healthcare utilization. While studies have demonstrated that previous hospitalizations and emergency department visits are associated with increased mortality in patients with substance misuse, it is unknown whether prior utilization of emergency medical service (EMS) is similarly associated with poor outcomes among this population. The objective of this study is to determine the association between EMS utilization in the 30 days before a hospitalization or emergency department visit and in-hospital outcomes among patients with substance misuse. METHODS: We conducted a retrospective analysis of adult emergency department visits and hospitalizations (referred to as a hospital encounter) between 2017 and 2021 within the Substance Misuse Data Commons, which maintains electronic health records from substance misuse patients seen at two University of Wisconsin hospitals, linked with state agency, claims, and socioeconomic datasets. Using regression models, we examined the association between EMS use and the outcomes of in-hospital death, hospital length of stay, intensive care unit (ICU) admission, and critical illness events, defined by invasive mechanical ventilation or vasoactive drug administration. Models were adjusted for age, comorbidities, initial severity of illness, substance misuse type, and socioeconomic status. RESULTS: Among 19,402 encounters, individuals with substance misuse who had at least one EMS incident within 30 days of a hospital encounter experienced a higher likelihood of in-hospital mortality (OR 1.52, 95% CI [1.05 - 2.14]) compared to those without prior EMS use, after adjusting for confounders. Using EMS in the 30 days prior to an encounter was associated with a small increase in hospital length of stay but was not associated with ICU admission or critical illness events. CONCLUSIONS: Individuals with substance misuse who have used EMS in the month preceding a hospital encounter are at an increased risk of in-hospital mortality. Enhanced monitoring of EMS users in this population could improve overall patient outcomes.

Statistical machine learning models for prediction of China's maritime emergency patients in dynamic: ARIMA model, SARIMA model, and dynamic Bayesian network model.

Introduction: Rescuing individuals at sea is a pressing global public health issue, garnering substantial attention from emergency medicine researchers with a focus on improving prevention and control strategies. This study aims to develop a Dynamic Bayesian Networks (DBN) model utilizing maritime emergency incident data and compare its forecasting accuracy to Auto-regressive Integrated Moving Average (ARIMA) and Seasonal Auto-regressive Integrated Moving Average (SARIMA) models. Methods: In this research, we analyzed the count of cases managed by five hospitals in Hainan Province from January 2016 to December 2020 in the context of maritime emergency care. We employed diverse approaches to construct and calibrate ARIMA, SARIMA, and DBN models. These models were subsequently utilized to forecast the number of emergency responders from January 2021 to December 2021. The study indicated that the ARIMA, SARIMA, and DBN models effectively modeled and forecasted Maritime Emergency Medical Service (EMS) patient data, accounting for seasonal variations. The predictive accuracy was evaluated using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Coefficient of Determination (R 2) as performance metrics. Results: In this study, the ARIMA, SARIMA, and DBN models reported RMSE of 5.75, 4.43, and 5.45; MAE of 4.13, 2.81, and 3.85; and R 2 values of 0.21, 0.54, and 0.44, respectively. MAE and RMSE assess the level of difference between the actual and predicted values. A smaller value indicates a more accurate model prediction. R 2 can compare the performance of models across different aspects, with a range of values from 0 to 1. A value closer to 1 signifies better model quality. As errors increase, R 2 moves further from the maximum value. The SARIMA model outperformed the others, demonstrating the lowest RMSE and MAE, alongside the highest R 2, during both modeling and forecasting. Analysis of predicted values and fitting plots reveals that, in most instances, SARIMA's predictions closely align with the actual number of rescues. Thus, SARIMA is superior in both fitting and forecasting, followed by the DBN model, with ARIMA showing the least accurate predictions. Discussion: While the DBN model adeptly captures variable correlations, the SARIMA model excels in forecasting maritime emergency cases. By comparing these models, we glean valuable insights into maritime emergency trends, facilitating the development of effective prevention and control strategies.

Effects of pre-existing type 1 diabetes mellitus on survival outcome following out-of-hospital cardiac arrest: a registry-based observational study in Sweden.

BACKGROUND: It has been estimated that 80% of cases of out-of-hospital cardiac arrest (OHCA) are due to cardiac causes. It is well-documented that diabetes is a risk factor for conditions associated with sudden cardiac arrest. Type 1 diabetes (T1D) displays a threefold to fivefold increased risk of cardiovascular disease and death compared with the general population. OBJECTIVE: This study aims to assess the characteristics and survival outcomes of individuals with and without T1D who experienced an OHCA. Design: A registry-based nationwide observational study with two cohorts, patients with T1D and patients without T1D. Setting: All emergency medical services and hospitals in Sweden were included in the study. PARTICIPANTS: Using the Swedish Cardiopulmonary Resuscitation Registry, we enrolled 54 568 cases of OHCA where cardiopulmonary resuscitation was attempted between 2010 and 2020. Among them, 448 patients with T1D were identified using International Classification of Diseases-code: E10. METHODS: Survival analysis was performed using Kaplan-Meier and logistic regression. Multiple regression was adjusted for age, sex, cause of arrest, prevalence of T1D and time to cardiopulmonary resuscitation. MAIN OUTCOME MEASURES: The outcomes were discharge status (alive vs dead), 30 days survival and neurological outcome at discharge. RESULTS: There were no significant differences in patients discharged alive with T1D 37.3% versus, 46% among cases without T1D. There was also no difference in neurological outcome. Kaplan-Meier curves yielded no significant difference in long-term survival. Multiple regression showed no significant association with survival after accounting for covariates, OR 0.99 (95% CI 0.96 to 1.02), p value=0.7. Baseline characteristics indicate that patients with T1D were 5 years younger at OHCA occurrence and had proportionally fewer cases of heart disease as the cause of arrest (57.6% vs 62.7%). CONCLUSION: We conclude, with the current sample size, that there is no statistically significant difference in long-term or short-term survival between patients with and without T1D following OHCA.

Rural and Ethnic Disparities in Out-of-hospital Care and Transport Pathways After Road Traffic Trauma in New Zealand.

Introduction: The out-of-hospital emergency medical service (EMS) care responses and the transport pathways to hospital play a vital role in patient survival following injury and are the first component of a well-functioning, optimised system of trauma care. Despite longstanding challenges in delivering equitable healthcare services in the health system of Aotearoa-New Zealand (NZ), little is known about inequities in EMS-delivered care and transport pathways to hospital-level care. Methods: This population-level cohort study on out-of-hospital care, based on national EMS data, included trauma patients <85 years in age who were injured in a road traffic crash (RTC). In this study we examined the combined relationship between ethnicity and geographical location of injury in EMS out-of-hospital care and transport pathways following RTCs in Aotearoa-NZ. Analyses were stratified by geographical location of injury (rural and urban) and combined ethnicity-geographical location (rural Maori, rural non-Maori, urban Maori, and urban non-Maori). Results: In a two-year period, there were 746 eligible patients; of these, 692 were transported to hospital. Indigenous Maori comprised 28% (196) of vehicle occupants attended by EMS, while 47% (324) of patients' injuries occurred in a rural location. The EMS transport pathways to hospital for rural patients were slower to reach first hospital (total in slowest tertile of time 44% vs 7%, P ≥ 0.001) and longer to reach definitive care (direct transport, 77% vs 87%, P = 0.001) compared to urban patients. Maori patients injured in a rural location were comparatively less likely than rural non-Maori to be triaged to priority transport pathways (fastest dispatch triage, 92% vs 97%, respectively, P = 0.05); slower to reach first hospital (total in slowest tertile of time, 55% vs 41%, P = 0.02); and had less access to specialist trauma care (reached tertiary trauma hospital, 51% vs 73%, P = 0.02). Conclusion: Among RTC patients attended and transported by EMS in NZ, there was variability in out-of-hospital EMS transport pathways through to specialist trauma care, strongly patterned by location of incident and ethnicity. These findings, mirroring other health disparities for Maori, provide an equity-focused evidence base to guide clinical and policy decision makers to optimize the delivery of EMS care and reduce disparities associated with out-of-hospital EMS care.

Neurological prognosis prediction upon arrival at the hospital after out-of-hospital cardiac arrest: R-EDByUS score.

AIM: To develop a new scoring model for patients with cardiogenic out-of-hospital cardiac arrest (OHCA) to facilitate neurological prognosis prediction upon hospital arrival by using prehospital resuscitation features alone. METHODS: Between 2005 and 2019, we enrolled 942,891 adult patients with OHCA of presumed cardiac aetiology from the All-Japan Utstein Registry. Scoring models applied prehospital resuscitation features a priori from the variables the American College of Cardiology algorithm including age, duration to return of spontaneous circulation (ROSC) or hospital arrival, no bystander cardiopulmonary resuscitation (CPR), unwitnessed arrest, and nonshockable rhythm (R-EDByUS score) to predict unfavorable neurological outcomes defined as Cerebral Performance Category 3, 4, or 5 at 1 month. We created nomograms as a "Regression-based model," and created a "Simplified model" in which points were assigned by category for predicting unfavorable neurological outcomes for both the prehospital ROSC cohort (67,064 patients) and the ongoing CPR cohort (875,827 patients). For internal validation, bootstrap optimism-corrected estimates of predictive performance were calculated. RESULTS: A total of 46,971 (70.0%) and 870,991 (99.4%) patients in the prehospital ROSC and ongoing CPR cohorts, respectively, had unfavorable neurological outcomes. In the prehospital ROSC cohort, the C-statistics of the Regression-based and Simplified models were 0.851 and 0.842, and the bootstrap-validated C-statistics were 0.852 and 0.841, respectively. In the ongoing CPR cohort, the C-statistics of the Regression-based and Simplified models were 0.872 and 0.865, and the bootstrap-validated C-statistics were 0.852 and 0.841, respectively. CONCLUSIONS: The R-EDByUS score accurately predicted the neurological prognosis of cardiogenic OHCA upon hospital arrival.

Primary care doctors in acute call-outs to severe trauma incidents in Norway - variations by rural-urban settings and time factors.

BACKGROUND: A severely injured patient needs fast transportation to a hospital that can provide definitive care. In Norway, approximately 20% of the population live in rural areas. Primary care doctors (PCDs) play an important role in prehospital trauma care. The aim of this study was to investigate how variations in PCD call-outs to severe trauma incidents in Norway were associated with rural-urban settings and time factors. METHODS: In this study on severe trauma patients admitted to Norwegian hospitals from 2012 to 2018, we linked data from four official Norwegian registries. Through this, we investigated the call-out responses of PCDs to severe trauma incidents. In multivariable log-binomial regression models, we investigated whether factors related to rural-urban settings and time factors were associated with PCD call-outs. RESULTS: There was a significantly higher probability of PCD call-outs to severe trauma incidents in the municipalities in the four most rural centrality categories compared to the most urban category. The largest difference in adjusted relative risk (95% confidence interval (CI)) was 2.08 (1.27-3.41) for centrality category four. PCDs had a significantly higher proportion of call-outs in the Western (RR = 1.46 (1.23-1.73)) and Central Norway (RR = 1.30 (1.08-1.58)) Regional Health Authority areas compared to in the South-Eastern area. We observed a large variation (0.47 to 4.71) in call-out rates to severe trauma incidents per 100,000 inhabitants per year across the 16 Emergency Medical Communication Centre areas in Norway. CONCLUSIONS: Centrality affects the proportion of PCD call-outs to severe trauma incidents, and call-out rates were higher in rural than in urban areas. We found no significant difference in call-out rates according to time factors. Possible consequences of these findings should be further investigated.

Identification and Management of Pelvic Fractures in Prehospital and Emergency Department Settings.

INTRODUCTION: This study aims to describe the characteristics of patients with a pelvic fracture treated at a level 1 trauma center, the proportion of prehospital undertriage and the use of pelvic circumferential compression device (PCCD). METHODS: This is a retrospective cohort study. Prehospital and inhospital medical records of adults (≥16 y old) with a pelvic fracture who were treated at Hopital de l'Enfant-Jesus-CHU de Québec (Quebec City, Canada), a university-affiliated level 1 trauma center, between September 01, 2017 and September 01, 2021 were reviewed. Isolated hip or pubic ramus fracture were excluded. Data are presented using proportions and means with standard deviations. RESULTS: A total of 228 patients were included (males: 62.3%; mean age: 54.6 [standard deviation 21.1]). Motor vehicle collision (47.4%) was the main mechanism of injury followed by high-level fall (21.5%). Approximately a third (34.2%) needed at least one blood transfusion. Compared to those admitted directly, transferred patients were more likely to be male (73.0% versus 51.3%, P < 0.001) and to have a surgical procedure performed at the trauma center (71.3% versus 46.9%, P < 0.001). The proportion of prehospital undertriage was 22.6%. Overall, 17.1% had an open-book fracture and would have potentially benefited from a prehospital PCCD. Forty-six transferred patients had a PCCD applied at the referral hospital of which 26.1% needed adjustment. CONCLUSIONS: Pelvic fractures are challenging to identify in the prehospital environment and are associated with a high undertriage of 22.6%. Reducing undertriage and optimizing the use of PCCD are key opportunities to improve care of patients with a pelvic fracture.

Long-Term Outcomes of Cricothyroidotomy Versus Endotracheal Intubation in Military Personnel: A Retrospective Comparative Analysis Cohort Study.

INTRODUCTION: Emergency airway management is critical in trauma care. Cricothyroidotomy (CRIC) is a salvage procedure commonly used in failed endotracheal intubation (ETI) or difficult airway cases. However, more data is needed regarding the short and long-term complications associated with CRIC. This study aimed to evaluate the Israel Defense Forces experience with CRIC over the past 2 decades and compare the short-term and long-term sequelae of prehospital CRIC and ETI. METHODS: Data on patients undergoing either CRIC or ETI in the prehospital setting between 1997 and 2021 were extracted from the Israel Defense Forces trauma registry. Patient data was then cross-referenced with the Israel national trauma registry, documenting in-hospital care, and the Israel Ministry of Defense rehabilitation department registry, containing long-term disability files of military personnel. RESULTS: Of the 122 patients with short-term follow-up through initial hospitalization, 81% underwent prehospital ETI, while 19% underwent CRIC. There was a higher prevalence of military-related and explosion injuries among the CRIC patients (96% versus 65%, P = 0.02). Patients who underwent CRIC more frequently exhibited oxygen saturations below 90% (52% versus 29%, P = 0.002). Injury Severity Score was comparable between groups.No significant difference was found in intensive care unit length of stay and need for tracheostomy. Regarding long-term complications, with a median follow-up time of 15 y, CRIC patients had more upper airway impairment, with most suffering from hoarseness alone. One patient in the CRIC group suffered from esophageal stricture. CONCLUSIONS: This retrospective comparative analysis did not reveal significant short or long-term sequelae among military personnel who underwent prehospital CRIC. The long-term follow-up did not indicate severe aerodigestive impairments, thus suggesting that this technique is safe. Along with the high success rates attributed to this procedure, we recommend that CRIC remains in the armamentarium of trauma care providers. The findings of this study could provide valuable insights into managing difficult airway in trauma care and inform clinical decision-making in emergency settings.

Detect, Dispatch, Drive: A Study of ShotSpotter Acoustic Technology and Transport of Gunshot Victims.

INTRODUCTION: Our previous work demonstrated that use of ShotSpotter (SS), a gunfire detection system, and use of police department (PD) transport decreased response and transport time for gunshot wound (GSW) victims versus events with non-ShotSpotter (NSS). The purpose of this study was to evaluate transport trends and how they are linked to SS in the period of 2016-2021 in Camden, NJ. METHODS: This was a single-center, retrospective observational study. Demographics, response time, transport time, and clinical data were collected. Independent t-test, Mann-Whitney U test, chi-squared test, and linear regression to correct for transport time and method of transport were used to compare outcomes (P < 0.05). RESULTS: A total of 267 GSWs were included: 77 emergency medical technicians (EMS)-SS, 41 EMS-NSS, 116 PD-SS, and 33 PD-NSS. When comparing response from 2016 to 2021, PD improved from 4 to 2 min (P = 0.001). EMS improved from 6.4 min (EMS-NSS) and 4.5 min (EMS-SS) to 5 min (EMS- NSS) and 4 min (EMS-SS) (P = 0.281). In addition, PD transport times, 5 min (SS) and 4 min (NSS), were faster than EMS, 9 min (SS and NSS) (P < 0.001). Overall PD transport volume increased with a peak in 2020 (68.3%). There was also an increase in PD-NSS transport 4% to 37.9% (P < 0.001). EMS-SS transport decreased from 54.7% to 6.9% (P < 0.001). CONCLUSION: The presence of SS technology in a small urban setting continues to be associated with a higher rate of PD transport of GSW victims. The critical time of dispatch and transport for both PD and EMS has shown durable improvement.

Emergency services response to eCall System alerts: Observations from 2016-2022 in the National Fire and Rescue System.

OBJECTIVE: Analysis of interventions by fire protection units in road traffic incidents alerted by the eCall system between 2016 and 2022. MATERIALS AND METHODS: Data from the State Fire Service Decision Support System (SFS DSS), provided by the Operational Planning Office, were used. Events from January 1, 2016, 00:00 to December 31, 2022, 23:59 were analyzed. Quantitative data were described using mean (Mean) and standard deviation (SD). Correlations and differences at a significance level of p < 0.05 were considered statistically significant. The analysis is anonymous for both victims and officers involved in the interventions. RESULTS: Between 2016 and 2022, firefighters were alerted by the e-call system 896 times. The shortest average intervention time was 47 ± 37 min and was recorded in 2021. In the comparative analysis of intervention time and factors conditioning the use of the eCall system, it was shown that this time was significantly statistically dependent on the number of cars involved in the incident (p < 0.001), the number of injured persons (p < 0.001), the type of intervention (p < 0.001),), and the occurrence of fuel leakage (p < 0.001). CONCLUSIONS: ECall is a relevant system for reporting accidents and collisions on the road. While it proves reliable in road incidents, a significantly high number of false alarms initiated from eCall requires system refinement to avoid accidental alarms and user education about the possibility of unintentionally sending an alarm signal. The authors predict that as the number of vehicles with the eCall system introduced to the roads increases, so will the number of notifications from this system. Data from the analysis of false reports suggest that mechanics and electricians in facilities performing repairs and maintenance of vehicles with the eCall system may lack the necessary knowledge of the need to deactivate the system before starting work. The number of injured people had no impact on the intervention time, which may prove that the rescue services were properly prepared.

Stroke Prevention and Management in Rural Georgia: Evaluating the Effectiveness of a Community Paramedicine Program.

CONTEXT: Stroke remains a major public health concern in the state of Georgia with high mortality, disproportionately affecting rural and socioeconomically disadvantaged communities. Georgia's age-standardized stroke death rate is 10.8% higher than the national average, and related comorbidities remain elevated in adult Georgians, contributing to higher stroke prevalence. PROGRAM: The Georgia Department of Public Health piloted a Community Paramedicine (CP) program in 2 rural counties to improve stroke management, readmissions, and mortality. Various supportive interventions to address barriers to chronic disease management were provided by a local emergency medical service agency for 90 days. This study aims to evaluate the effectiveness of the CP care delivery model in improving stroke outcomes among high-risk individuals. IMPLEMENTATION: CP leverages emergency medical service infrastructure to provide community health services such as home visits, telemedicine, care coordination, education, and access to social support services. The Georgia Hospital Discharge data and Georgia death records were used to measure stroke rehospitalization and deaths at 30, 60, and 90 days post-discharge for stroke. We compared the health outcomes of high-risk individuals who participated in the CP program to those who did not. EVALUATION: Multivariable analysis suggested a reduction in stroke mortality rates among the intervention groups in both counties. DISCUSSION: The CP program demonstrated effectiveness in assisting patients with managing risk factors through medication adherence for conditions such as hypertension, hypercholesterolemia, and diabetes.

A Framework for Developing and Assessing Custom Case Definitions: A Demonstration Applied to Opioid Overdose in Maryland.

CONTEXT: Public health epidemiologists monitor data sources for disease outbreaks and other events of public health concern, but manual review of records to identify cases of interest is slow and labor-intensive and may not reflect evolving data practices. To automatically identify cases from electronic data sources, epidemiologists must use "case definitions" or formal logic that captures the criteria used to identify a record as a case of interest. OBJECTIVE: To establish a methodology for development and evaluation of case definitions. A logical evaluation framework to approach case definitions will allow jurisdictions the flexibility to implement a case definition tailored to their goals and available data. DESIGN: Case definition development is explained as a process with multiple logical components combining free-text and categorical data fields. The process is illustrated with the development of a case definition to identify emergency medical services (EMS) call records related to opioid overdoses in Maryland. SETTING: The Maryland Department of Health (MDH) installation of the Electronic Surveillance System for Early Notification of Community-Based Epidemics (ESSENCE), which began capturing EMS call records in ESSENCE in 2019 to improve statewide coverage of all-hazards health issues. RESULTS: We describe a case definition evaluation framework and demonstrate its application through development of an opioid overdose case definition to be used in MDH ESSENCE. We show the iterative process of development, from defining how a case can be identified conceptually to examining each component of the conceptual definition and then exploring how to capture that component using available data. CONCLUSION: We present a framework for developing and qualitatively assessing case definitions and demonstrate an application of the framework to identifying opioid overdose incidents from MDH EMS data. We discuss guidelines to support jurisdictions in applying this framework to their own data and public health challenges to improve local surveillance capability.

Emergency Medical Services and Public Health Perspectives on Alternative Emergency Response Models.

CONTEXT: New approaches to emergency response are a national focus due to evolving needs and growing demands on the system, but perspectives of first responders and potential partners have not been evaluated. OBJECTIVE: This project aimed to inform the development and implementation of alternative emergency response models, including interdisciplinary partnerships, by identifying the perspectives of the frontline workforce regarding their evolving roles. DESIGN: An electronic survey was sent, querying respondents about their perceived roles in emergency response, interdisciplinary partnerships, and resources needed. SETTING: This study took place in a metropolitan, midwestern county with participants from 2 public health agencies and 1 emergency medical services (EMS) agency. PARTICIPANTS: The survey was completed by 945 EMS clinicians and 58 public health workers. MAIN OUTCOME MEASURES: The main outcome measures were agreement levels on each group's roles in prevention, response, and recovery after emergencies, as well as general feedback on new models. RESULTS: Overall, 97% of EMS clinicians and 42% of public health workers agreed that they have a role in immediate response to 9-1-1 emergencies. In mental health emergencies, 87% of EMS clinicians and 52% of public health workers agreed that they have a role, compared to 87% and 30%, respectively, in violent emergencies. Also, 84% of respondents felt multidisciplinary models are a needed change. However, 35% of respondents felt their agency has the resources necessary for changes. CONCLUSIONS: We observed differences between EMS clinicians and public health workers in their perceived roles during emergency response and beliefs about the types of emergencies within their scope. There is strong support for alternative approaches and a perception that this model may improve personal well-being and job satisfaction, but a need for additional resources to develop and implement.

Factors associated with difficulty in hospital acceptance during the COVID-19 pandemic period in Osaka Prefecture, Japan: a population-based study.

Background: In many countries, emergency medical systems were responsible for initial treatment of patients with COVID-19. Generally, acceptance by medical institutions may not be sufficient, and it may take much time to determine the medical institution to which to transport the patient. This problem is termed "difficulty in hospital acceptance (DIH)," and it is used as a key performance indicator in the assessment of the EMS in Japan. The purpose of this study was to reveal the factors associated with the DIH during the COVID-19 pandemic using dataset in the ORION (Osaka emergency information Research Intelligent Operation Network system). Methods: This was a retrospective descriptive study with a 3-year study period from January 1, 2019 to December 31, 2021. We included patients who were recorded in the ORION system during the study period. The primary endpoint was defined as DIH. Multivariable logistic regression model was used to assess factors associated with DIH during the COVID-19 pandemic and calculated their adjusted odds ratio (AOR) and associated 95% confidence interval (CI). Results: 1,078,850 patients included in this study. Of them, 41,140 patients (3.8%) experienced DIH and 1,037,710 patients (96.2%) did not experience DIH. The median age was 71 years (IQR: 45-82), and 543,760 patients (50.4%) were male. In this study, SpO2, body temperature, and epidemic period of COVID-19 were associated with difficulty in hospital acceptance. The highest AOR of SpO2 was 80% or less (AOR: 1.636, [95% CI: 1.532-1.748]), followed by 81-85% (AOR: 1.584, [95% CI: 1.459-1.721]). The highest AOR of body temperature was 38.0-38.9°C (AOR: 1.969 [95% CI: 1.897-2.043]), followed by 39°C or higher (AOR: 1.912 [95% CI: 1.829-1.998]). The highest AOR of epidemic period of COVID-19 was the 4th wave (AOR: 2.134, [95% CI: 2.065-2.205]), followed by the 3rd wave (AOR: 1.842, [95% CI: 1.785-1.901]). Conclusion: In this study, we revealed factors associated with the DIH during the COVID-19 pandemic. As various factors are involved in the spread of an unknown infectious disease, it is necessary not only to plan in advance but also to take appropriate measures according to the situation in order to smoothly accept emergency patients.

Social mass gathering events influence emergency medical services call volume.

Background: Prior literature suggests that mass gathering events pose challenges to an emergency medical services (EMS) system. We aimed to investigate whether events influence EMS call rates. Materials and methods: This study is a retrospective review of all primary response ambulance calls in Rhode Island (US) between January 1st, 2018 and August 31st, 2022. The number of EMS calls per day was taken from the state's EMS registry. Event data was collected using a Google (Google LLC, Mountain View, CA) search. We used separate Poisson regression models with the number of ambulance calls as the dependent and the social event categories sports, agricultural, music events, and public exhibitions as independent variables. All models controlled for the population at risk and the period of the COVID-19 pandemic. Results are presented as increases or decreases in calls per 100,000 inhabitants from the mean over the study period. Results: The mean number of daily EMS calls was 38 ± 4 per 100,000 inhabitants. EMS encountered significantly more missions on days with music events (+3, 95% CI [2; 3]) and public exhibitions (+2, 95% CI [1; 2]). In contrast, days with agricultural events were associated with fewer calls (-1, 95% CI [-1; 0]). We did not find any effect of sports events on call rates. Conclusion: Increased ambulance call volumes are observed on days with music events and public exhibitions. Days with agricultural events are associated with fewer EMS calls.

Implications of interhospital patient transfers for emergency medical services transportation systems in the Netherlands: a retrospective study.

OBJECTIVES: Interhospital patient transfers have become routine. Known drivers are access to specialty care and non-clinical reasons, such as limited capacity. While emergency medical services (EMS) providers act as main patient transfer operators, the impact of interhospital transfers on EMS service demand and fleet management remains understudied. This study aims to identify patterns in regional interhospital patient transfer volumes and their spatial distribution, and to discuss their potential implications for EMS service demand and fleet management. DESIGN: A retrospective study was performed analysing EMS transport data from the province of Drenthe in the Netherlands between 2013 and 2019 and public hospital listings. Yearly volume changes in urgent and planned interhospital transfers were quantified. Further network analysis, including geomapping, was used to study how transfer volumes and their spatial distribution relate to hospital specialisation, and servicing multihospital systems. Organisational data were considered for relating transfer patterns to fleet changes. SETTING: EMS in the province of Drenthe, the Netherlands, 492 167 inhabitants. PARTICIPANTS: Analyses are based on routinely collected patient data from EMS records, entailing all 248 114 transports (137 168 patients) of the Drenthe EMS provider (2013-2019). From these interhospital transports were selected (24 311 transports). RESULTS: Interhospital transfers represented a considerable (9.8%) and increasing share of transports (from 8.6% in 2013 to 11.3% in 2019). Most transfers were related to multihospital systems (47.3%, 11 509 transports), resulting in a considerable growth of planned EMS transports (from 2093 in 2013 to 3511 in 2019). Geomapping suggests increasing transfer distances and diminishing resource efficiencies due to lacking follow-up rides. Organisational data clarify how EMS fleets were adjusted by expanding resources and reorganising fleet operation. CONCLUSIONS: Emerging interhospital network transfers play an important role in EMS service demand. Increased interhospital transport volumes and geographical spread require a redesign of current EMS fleets and management along regional lines.

Association between prehospital ROX index with 30-day mortality among septic shock.

PURPOSE: Respiratory dysfunction is one of the most frequent symptoms observed during sepsis reflecting hypoxemia and/or acidosis that may be assessed by the ROX index (ratio of oxygen saturation by pulse oximetry/fraction of inspired oxygen to respiratory rate). This study aimed to describe the relationship between the prehospital ROX index and 30-day mortality rate among septic shock patients cared for in the prehospital setting by a mobile intensive care unit (MICU). METHODS: From May 2016 to December 2021, 530 septic shock patients cared for by a prehospital MICU were retrospectively analysed. Initial ROX index value was calculated at the first contact with MICU. A Cox regression analysis after propensity score matching was performed to assess the relationship between 30-day mortality rate and a ROX index ≤ 10. RESULTS: Pulmonary, digestive and urinary sepsis were suspected among 43%, 25% and 17% patients, respectively. The 30-day overall mortality reached 31%. Cox regression analysis showed a significant association between 30-day mortality and a ROX index ≤ 10: adjusted hazard ratio of 1.54 [1.08-2.31], p < 0.05. CONCLUSIONS: During the prehospital stage of septic shock patients cared for by a MICU, ROX index is significantly associated with 30-day mortality. A prehospital ROX ≤ 10 value is associated with a 1.5-fold 30-day mortality rate increase. Prospective studies are needed to confirm the ability of prehospital ROX to predict sepsis outcome since the prehospital setting.

Emergency Medical Services Encounters for Firearm Injuries - 858 Counties, United States, January 2019-September 2023.

Firearm-related deaths and injuries have increased in recent years. Comprehensive and timely information on firearm injuries and the communities and geographic locations most affected by firearm violence is crucial for guiding prevention activities. However, traditional surveillance systems for firearm injury, which are mostly based on hospital encounters and mortality-related data, often lack information on the location where the shooting occurred. This study examined annual and monthly rates of emergency medical services (EMS) encounters for firearm injury per 100,000 total EMS encounters during January 2019-September 2023 in 858 counties in 27 states, by patient characteristics and characteristics of the counties where the injuries occurred. Overall, annual rates of firearm injury EMS encounters per 100,000 total EMS encounters ranged from 222.7 in 2019 to 294.9 in 2020; rates remained above prepandemic levels through 2023. Rates were consistently higher among males than females. Rates stratified by race and ethnicity were highest among non-Hispanic Black or African American persons; rates stratified by age group were highest among persons aged 15-24 years. The greatest percentage increases in annual rates occurred in urban counties and in counties with higher prevalence of severe housing problems, higher income inequality ratios, and higher rates of unemployment. States and communities can use the timely and location-specific data in EMS records to develop and implement comprehensive firearm injury prevention strategies to address the economic, social, and physical conditions that contribute to the risk for violence, including improvements to physical environments, secure firearm storage, and strengthened social and economic supports.