Destination Hospital Research Articles

The Geographical Distribution of Probable COVID-19 Patients Transferred by Tehran Emergency Medical Services; a Cross Sectional Study.

Introduction:Mapping of COVID-19 infection in the city can help us know more about how the disease is distributed and spread. This study was conducted to investigate the geographical distribution of probable COVID-19 patients who were transferred to destination hospitals by emergency medical services (EMS) in the first wave of the epidemic, in Tehran, Iran.Methods:This cross-sectional study was performed based on recorded missions during the first 3-month period of the pandemic in Tehran, Iran. All probable cases of COVID-19 who were transferred to the hospitals following contact with Tehran EMS during the study period were enrolled. Arc-GIS software was utilized to draw the distribution map of the contact places of the cases. Results:In this study, the data of 4018 patients were analyzed (60.9% male). The mean age of the patients was 54.1 ± 20.7 years; and the mean age of the patients had increased with time during the studied 3 months (p = 0.003). The average incidence rate of this disease in Tehran during the study period was 4.6 per 10,000 population. Generally, the lowest and highest raw frequencies of Tehran COVID-19 contamination were seen in municipal districts 21 and 4, respectively. The raw frequency of cases during the 3-month study period also showed that the highest number of cases in Tehran occurred in municipal districts 5 and 4, respectively.Conclusion:In the present study, using geographic information systems (GIS), geographical distribution map of COVID-19 in Tehran, Iran, during the first 3 months of the pandemic was drawn.

Abstract P124: Stroke Patient Transfer Destination is Influenced by Hospital Affiliation

Background: Acute ischemic stroke (AIS) patients are frequently transferred between hospitals, however it is not clear whether these transfers are optimized with respect to proximity and quality of the destination hospital. Our primary object was to identify hospital characteristics associated with sending and receiving AIS patients. Methods: Using a comprehensive statewide dataset, we identified all AIS patient transfers occurring between all 78 Massachusetts (MA) hospitals from 2007 and 2015. Hospital variables included hospital quality reputation (US News & World Report), hospital capabilities (stroke center status, annual stroke volume, and trauma center designation), and institutional affiliations (same vs. not). We also included network variables to control for the structure of hospital-to-hospital transfers. We used relational event modeling to account for complex temporal and relational dependencies associated with patient transfers. This method decomposes events into a decision to transfer, and if so, the receiving hospital destination, and models them using a discrete-choice framework. Results: Among 73,114 AIS admissions in MA during the 8-year study period, there were 7,189 (9.8%) transfers. After accounting for travel time between hospitals and structural network characteristics, factors associated with increased likelihood of being a receiving hospital included teaching hospital status, hospitals of the same or higher quality, the same or higher stroke center status, and the same hospital affiliation (Table). Conclusion: Patients experiencing AIS in MA are frequently transferred between hospitals. After accounting for multiple relevant hospital characteristics, hospital affiliation remains an important factor in determining transfer destination. While there may be some benefits to hospital affiliation, stroke systems of care should be designed to maximize patient benefit and leverage interfacility transfer accordingly.

P0190 / #1827: CARDIOPULMONARY RESUSCITATION DURING INTER HOSPITAL TRANSPORT OF PAEDIATRIC PATIENTS

Aims & Objectives: Inter hospital transport of children in cardiac arrest undergoing cardiopulmonary resuscitation (CPR) is not well documented in the literature. We aim to describe the incidence, outcome and clinical characteristics of paediatric patients requiring cardiopulmonary resuscitation during inter hospital transport by Children’s Acute Transport Service (CATS), London. Methods: Retrospective analysis of all children transferred by CATS between 1st April 2009 and 1st October 2019 who received cardiopulmonary resuscitation in the ambulance after leaving the referral hospital. Results: During the 10 year period, 510 patients received cardiopulmonary resuscitation at some point, 72 patients died before transfer. 15 patients received CPR in the ambulance. Sepsis (40%) was the commonest diagnosis. In addition to CPR in the ambulance 8(53%) of these patients had already had a cardiac arrest with return of spontaneous circulation (ROSC) pre referring hospital departure; 3 of them with referring hospital, 3 with CATS and 2 with ongoing CPR on CATS arrival.13(86%) were on vasoactive support,11 had 2 or more vasoactive agents. PEA was the most common arrest rhythm. Mean duration of CPR was 13.79 min. Resuscitation was stopped in the ambulance in one case. Two patients were declared dead on arrival. Of 6 patients who reached the destination hospital with CPR ongoing, CPR was continued and stopped later. 6(40%) arrived alive.3 were cannulated for ECMO. Conclusions: Cardiopulmonary resuscitation in an ambulance is feasible and can result in ROSC during transport. It may be appropriate to undertake transports with patients in cardiac arrest if the patient may benefit from an escalation in supportive therapy.

Timing of Transfer and Mortality in Neonates with Hypoplastic Left Heart Syndrome in California.

Maternal race/ethnicity is associated with mortality in neonates with hypoplastic left heart syndrome (HLHS). We investigated whether maternal race/ethnicity and other sociodemographic factors affect timing of transfer after birth and whether timing of transfer impacts mortality in infants with HLHS. We linked two statewide databases, the California Perinatal Quality Care Collaborative and records from the Office of Statewide Health Planning and Development, to identify cases of HLHS born between 1/1/06 and 12/31/11. Cases were divided into three groups: birth at destination hospital, transfer on day of life 0–1 (“early transfer”), or transfer on day of life ≥ 2 (“late transfer”). We used log-binomial regression models to estimate relative risks (RR) for timing of transfer and Cox proportional hazard models to estimate hazard ratios (HR) for mortality. We excluded infants who died within 60 days of life without intervention from the main analyses of timing of transfer, since intervention may not have been planned in these infants. Of 556 cases, 107 died without intervention (19%) and another 52 (9%) died within 28 days. Of the 449 included in analyses of timing of transfer, 28% were born at the destination hospital, 49% were transferred early, and 23% were transferred late. Late transfer was more likely for infants of low birthweight (RR 1.74) and infants born to US-born Hispanic (RR 1.69) and black (RR 2.45) mothers. Low birthweight (HR 1.50), low 5-min Apgar score (HR 4.69), and the presence of other major congenital anomalies (HR 3.41), but not timing of transfer, predicted neonatal mortality. Late transfer was more likely in neonates born to US-born Hispanic and black mothers but was not associated with higher mortality.Supplementary InformationThe online version of this article (10.1007/s00246-021-02561-w) contains supplementary material, which is available to authorized users.

Pregnant teenagers treated at the obstetric center of a university hospital

According to the definition of the World Health Organization, adolescence is the phase of life between 10 and 19 years of age, a period marked by physiological and biopsychosocial changes, in which pregnancy is considered a risk factor for both mother and fetus from the biomedical point of view. Several factors have been associated with teenage pregnancy with negative maternal and neonatal impacts, such as: social vulnerability, low levels of education, income, and sexual education. This is a descriptive cross-sectional study with a quantitative approach, which aimed to identify obstetric factors and neonatal outcomes of greater frequency among pregnant adolescents treated at the obstetric center of a university hospital. Data collection was performed through a logbook of daily procedures at the obstetric center, so that all parturients under 19 years of age treated in 2018 were included in the study. The variables studied were age, parity, type of delivery, gestational age, diagnosis of syphilis and HIV, number of prenatal consultations, and insertion of an intrauterine device (IUD). As for the newborn, the following were analyzed: weight and hospital destination after birth. The data were processed using the SOFA.5.2 software (Statistics Open for All) and the significance level established was 95%, with a value of (P ≤ 0.05). Three thousand four hundred and thirty pregnant women were evaluated. There was a birth rate of 19.3% among adolescents, with a correlation between the low weight of the newborn with the longest hospital stay and the number of prenatal visits, and also the identification of low insertion of contraceptive methods immediately after delivery. Adolescent pregnancy was correlated with low-birth-weight newborns and a longer stay in neonatal units, consequences often associated with the insufficient number of prenatal consultations. Public health policies for the inclusion of qualified nursing professionals in the management of insertion of the intrauterine device for the prevention of subsequent pregnancies deserve special attention.

Extracorporeal Cardiopulmonary Resuscitation for Refractory Out-of-Hospital Cardiac Arrest (EROCA): Results of a Randomized Feasibility Trial of Expedited Out-of-Hospital Transport

Outcomes of extracorporeal cardiopulmonary resuscitation (ECPR) for out-of-hospital cardiac arrest depend on time to therapy initiation. We hypothesize that it would be feasible to select refractory out-of-hospital cardiac arrest patients for expedited transport based on real-time estimates of the 911 call to the emergency department (ED) arrival interval, and for emergency physicians to rapidly initiate ECPR in eligible patients. In a 2-tiered emergency medical service with an ECPR-capable primary destination hospital, adults with refractory shockable or witnessed out-of-hospital cardiac arrest were randomized 4:1 to expedited transport or standard care if the predicted 911 call to ED arrival interval was less than or equal to 30 minutes. The primary outcomes were the proportion of subjects with 911 call to ED arrival less than or equal to 30 minutes and ED arrival to ECPR flow less than or equal to 30 minutes. Of 151 out-of-hospital cardiac arrest 911 calls, 15 subjects (10%) were enrolled. Five of 12 subjects randomized to expedited transport had an ED arrival time of less than or equal to 30 minutes (overall mean 32.5 minutes [SD 7.1]), and 5 were eligible for and treated with ECPR. Three of 5 ECPR-treated subjects had flow initiated in less than or equal to 30 minutes of ED arrival (overall mean 32.4 minutes [SD 10.9]). No subject in either group survived with a good neurologic outcome. The Extracorporeal Cardiopulmonary Resuscitation for Refractory Out-of-Hospital Cardiac Arrest trial did not meet predefined feasibility outcomes for selecting out-of-hospital cardiac arrest patients for expedited transport and initiating ECPR in the ED. Additional research is needed to improve the accuracy of predicting the 911 call to ED arrival interval, optimize patient selection, and reduce the ED arrival to ECPR flow interval.

Identifying outlier patterns of inconsistent ambulance billing in Medicare.

To illustrate a method that accounts for sampling variation in identifying suppliers and counties with outlying rates of a particular pattern of inconsistent billing for ambulance services to Medicare. US Medicare claims for a 20% simple random sample of 2010-2014 fee-for-service beneficiaries. We identified instances in which ambulance suppliers billed Medicare for transporting a patient to a hospital, but no corresponding hospital visit appeared in billing claims. We estimated the distributions of outlier supplier and county rates of such "ghost rides" by fitting a nonparametric empirical Bayes model with flexible distributional assumptions to account for sampling variation. We included Basic and advanced life support ground emergency ambulance claims with a hospital destination. "Ghost ride" rates varied considerably across both ambulance suppliers and counties. We estimated 6.1% of suppliers and 5.0% of counties had rates that exceeded 3.6%, which was twice the national average of "ghost rides" (1.8% of all ambulance transports). Health care fraud and abuse are frequently asserted but can be difficult to detect. Our data-driven approach may be a useful starting point for further investigation.

5G-Network-Enabled Smart Ambulance: Architecture, Application, and Evaluation

As the fifth generation (5G) network comes to the fore, the realization of 5G-enabled service has attracted much attention from both healthcare academics and practitioners. In particular, 5G-enabled emergency ambulance service allows to connect a patient and an ambulance crew at an accident scene or in transit with the awaiting emergency department team at the destination hospital seamlessly so as to improve the rescue rate of patients. However, the application of the 5G network in ambulance service currently lacks a reliable solution and simulation testing of performance in the existing literature. To achieve this end, the primary aim of this study is to propose a 5G-enabled smart ambulance service and then test the quality of service of the proposed solution in experimental settings. We also consider emergency scenarios to investigate the task completion and accuracy of 5G-enabled smart ambulance, and to verify the superiority of our proposed solution. Our study explores the value of a 5G-en-abled smart ambulance and provides practical insights for 5G network construction, business development, and network optimization of smart ambulance service.

A fully automated inpatient transport system

BACKGROUND: The transport of the inpatients to and from locations inside the hospital can vary in complexity depending on the patient location, status, and logistical needs. Most transport systems have not developed at the same speed as other medically related technologies. We conducted a pilot study of a new automated transport system for patients within the hospital. METHODS: Our innovative system was introduced in January 2020. We present a retrospective case review of all in-patient transport request during April 15, 2020 through May 30, 2020 at the Shaare Zedek Medical Center, Jerusalem, Israel. The system is fully automated and works via smartphone and electronic medical record integration. Transfer requests are processed on the basis of priority, proximity, and availably. RESULTS: During the study period there were 15, 581 transfer requests. Mean times to hospital destinations ranged from 9:25 to 28:02 minutes. Overall, mean times were quicker for emergency and surgical services. Trip times by priority code were likely influence by unmeasured confounders. There were no reported patient identification adverse events. Peak requests occurred during 0900-1500, and at the beginning of the week. CONCLUSION: Our automated in-patient transfer system appears to be efficient, safe, well received, and capable of servicing our large tertiary care medical center. Future controlled studies are needed to assess efficacy, adverse events, and clinical outcomes.

Adapting trauma workflows for severely injured trauma patients during the COVID-19 pandemic: experience in a regional trauma centre in Singapore.

Adapting trauma workflows for severely injured trauma patients during the COVID-19 pandemic: experience in a regional trauma centre in Singapore.

Unmet needs for emergency care and prevention of prehospital death in acute myocardial infarction

Introduction: Percutaneous coronary intervention (PCI) has successfully reduced the mortality of patients with acute myocardial infarction (AMI). However, patients with out-of-hospital cardiac arrest have high mortality, which is difficult to control by hospital staff. In this study, we investigated the prevalence of prehospital death (PHD) in patients with AMI. Furthermore, we investigated the risk factors associated with 30-day mortality in patients with AMI who survived PHD.Methods: We investigated the prevalence of PHD using data from the Yamagata AMI registry and from death certification of the entire Yamagata Prefecture in Japan between 2010 and 2015. Furthermore, we investigated the risk factors for 30-day mortality in patients who survived PHD, using data from the Yamagata AMI registry from 1993 to 2015. AMI was identified by the International Classification of Diseases, 10th revision code I21.Results: Out of the 6984 patients with AMI, 3771 patients had PHD. Patients with PHD were older and more likely to be women than those without PHD. More PHD occurred in winter and spring than in summer or autumn. Multivariate regression analysis showed that age, female sex, and winter onset were independently associated with PHD.We also investigated the risk factors associated with 30-day mortality in 9675 patients who survived PHD. The rate of PCI was remarkably lower in patients with acute death than in those without acute death. Multivariate regression analysis showed that age, anterior infarction, estimated glomerular filtration rate, Killip class, and PCI were independently associated with 30-day mortality after adjusting for confounding factors.Conclusion: Approximately half of the patients with AMI died before they could reach the destination hospital. Although emergency PCI is the most important factor in reducing 30-day mortality in patients with AMI, attempts to reduce patient delay and system delay are possibly needed to further reduce PHD.

Abstract 115: Extracorporeal Cardiopulmonary Resuscitation for Refractory Out of Hospital Cardiac Arrest (EROCA) - Results of a Randomized Feasibility Trial of Expedited Prehospital Transport

Introduction: Extracorporeal cardiopulmonary resuscitation (ECPR) for out-of-hospital cardiac arrest (OHCA) is promising but is unproven, and outcomes are strongly dependent on time to initiation of therapy. Expedited transport may facilitate opportunities for ECPR in clinical practice and future trials. Hypotheses: We hypothesized that a real-time dispatch-based computer algorithm could select refractory OHCA patients who could be reliably transported to the emergency department (ED) within 30 min of the 911 call, and that Emergency Medicine physicians could initiate ECPR in eligible patients within 30 min of ED arrival. Methods: In a 2-tiered EMS system serving a US city of 100k in 29 square miles with an ECPR capable primary destination hospital, adults with refractory shockable or witnessed OHCA were randomized 4:1 to expedited transport (ET) or standard prehospital care (SC) if the predicted 911 to ED arrival time was <30 min. A maximum sample size of 24 was planned. The study required exception from informed consent. The primary outcomes were the proportion of patients with 911 to ED arrival <30 min and ED arrival to ECPR flow <30 min. Results: Out of 156 cardiac arrest runs, 15 participants (10%) were randomized prior to ending the trial for slow accrual. Five of 12 patients randomized to expedited transport had an ED arrival time of <30 min (mean 32.5+7.1). All ECPR eligible patients were cannulated, 3 of 5 receiving ECPR had flow initiated <30 min of ED arrival (mean 32.4+10.9), and 7 were ECPR ineligible. One patient (randomized to SC) survived to 30 days, and no patients in either group survived with a good neurological outcome. Conclusions: EROCA demonstrated a functional model for selecting patients with refractory OHCA for ET in an ECPR capable system but did not meet predefined time-interval targets. These results provide important insight into the feasibility of ECPR clinical trials and clinical practice based on selected target intervals.

A Comparison of Probabilistic and Deterministic Match Strategies for Linking Prehospital and in-Hospital Stroke Registry Data

BackgroundUnderstanding and improving EMS stroke care requires linking data from both the prehospital and hospital settings. In the US, such data is collected in separate de-identified registries that cannot be directly linked due to lack of a common, unique patient identifier. In the absence of unique patient identifiers two common approaches to linking databases are deterministic matching, which uses combinations of non-unique matching variables to define matches, and probabilistic matching, which generates estimates of match probability based on the degree of similarity between records. This analysis seeks to compare these two approaches for matching EMS and stroke registry data. MethodsStroke cases transported by EMS to Michigan hospitals participating in the Michigan Coverdell Acute Stroke Registry were linked to records from Michigan's EMS Information System (MI-EMSIS) between January 2018 and June 2019. Destination hospital, date-of-service, patient age, date-of-birth, and sex were used to perform deterministic and probabilistic linkages. Match rates and representativeness of the matched samples were compared between the two matching strategies. Multivariable logistic regression was used to identify characteristics associated with successful matching. ResultsDuring the 18-month study period there were 8,828 EMS transported confirmed stroke cases in the registry and 620,907 EMS transports to 38 Coverdell registry-participating hospitals. The probabilistic match linked 5985 (67.7%) strokes to EMS records; the deterministic match linked 4012 (45.5%). Within each strategy the characteristics of matched and unmatched cases were similar, with the exception that deterministically matched cases were less likely to be older than 89 (adjusted odds ratio [aOR]=0.3), white (aOR=0.8), and more likely to have subarachnoid hemorrhage (aOR=1.4) than unmatched cases. ConclusionProbabilistic matching resulted in higher match rates and a more representative sample of EMS transported strokes, suggesting it may be superior in assessing EMS stroke care compared to a deterministic approach.

National Interhospital Transfer for Patients With Acute Cardiovascular Conditions

BackgroundTreatment of ST-elevation myocardial infarction (STEMI) in Canada is protocolized, and timely patient transfer can improve outcomes. Population-based processes of care in Canada for other cardiovascular conditions remain less clear. We aimed to describe the interhospital transfer of Canadian patients with acute cardiovascular disease. MethodsWe reviewed the Canadian Institute for Health Information Discharge Abstract Database for adult patients hospitalized with acute cardiovascular disease between 2013 and 2018. We compared patient characteristics and clinical outcomes based on transfer status (transferred, nontransferred) and presenting hospital (teaching, large community, medium community, and small community hospitals). The primary outcome of interest was in-hospital mortality. ResultsThere were 476,753 patients with primary acute cardiovascular diagnoses, 48,579 (10.2%) of whom were transferred. Transferred patients were more frequently younger, male, and had fewer comorbidities. The most common diagnoses among transferred patients were non-STEMI (44.2%), STEMI (29.0%), and congestive heart failure (9.4%). Using teaching hospitals as a reference, transfer to large and medium community hospitals was associated with lower hospital mortality (adjusted odds ratio: 0.83, 95% confidence interval: 0.75-0.91 and 0.45, 95% confidence interval: 0.39-0.52, respectively). ConclusionsApproximately 10% of patients with acute cardiovascular conditions are transferred to another hospital. Patient transfer may be associated with lower in-hospital mortality, with possible variability based on diagnosis, comorbidities, hospital of origin, and destination hospital. Further investigation into the optimization of care for patients with acute cardiovascular disease, including transfer practices, is warranted as regionalized care models continue to develop.

Field triage of children with abdominal trauma

Objective Identify physical findings in children with abdominal trauma to inform prehospital providers regarding appropriate hospital destinations. Methods This is a secondary analysis of the Pediatric Emergency Care Applied Research Network Abdominal Trauma Public Use Dataset. Children involved in motor vehicle collisions; struck by motor vehicles at >20 mph; involved in all-terrain vehicle, motorcycle, or scooter accidents; or who fell from >10 ft ( n = 5575) were included. Stepwise multivariable multinomial logistic regression was used to compare clinical findings at presentation between children with no intra-abdominal injury, intra-abdominal injury without intervention, and intra-abdominal injury with intervention (laparoscopy/laparotomy, embolization, red blood cell transfusion, or admission >48 h on intravenous fluids). Results Compared to children with no intra-abdominal injury, children with intra-abdominal injury (with and without intervention) were more likely to have evidence of abdominal wall trauma, abdominal tenderness, peritoneal irritation, decreased breath sounds, distracting painful injury, and evidence of thoracic trauma. Children with intra-abdominal injury requiring intervention were more likely to have evidence of abdominal wall trauma (OR 3.32, 95% CI 2.03–5.44) and be intubated (OR 4.93, 95% CI 3.17–7.65) when compared to children with intra-abdominal injury without intervention. Conclusions The findings of abdominal tenderness, peritoneal irritation, decreased breath sounds, distracting painful injury, and thoracic trauma may be used to identify children who warrant evaluation at any trauma center because of increased risk of intra-abdominal injury, whereas intubation and evidence of abdominal wall trauma help identify children with intra-abdominal injury in need of transport to a pediatric trauma center due to risk of undergoing intervention.

Travel Patterns among Patients Undergoing Hepatic Resection in California: Does Driving Further for Care Improve Outcomes?

BackgroundBetter outcomes at high-volume surgical centers have driven regionalization of complex surgical care. In turn, access to high-volume centers often requires travel over longer distances. We sought to characterize travel patterns among patients who underwent a hepatectomy. MethodsThe California Office of Statewide Health Planning database was used to identify patients who underwent hepatectomy between 2005 and 2016. Total distance traveled and whether a patient bypassed the nearest hospital that performed hepatectomy to get to a higher-volume center were assessed. Multivariate analyses were used to identify factors associated with bypassing a local hospital for a higher-volume center. ResultsOverall, 13,379 adults underwent a hepatectomy in 229 hospitals; only 26 hospitals were high volume (> 15 cases/year). Median travel time to a hospital that performed hepatectomy was 25.2 min (IQR: 13.1–52.0). The overwhelming majority of patients (91.6%) bypassed the nearest providing hospital to seek care at a destination hospital. Among patients who bypassed a closer hospital, 75.5% went to a high-volume hospital. Outcomes at destination hospitals were improved compared with nearest hospitals (incidence of complications: 20.4% vs. 22.9% %; failure-to-rescue: 7.1% vs 10.9%; mortality 1.5% vs. 2.6%). Medicaid beneficiaries (OR 0.69, 95%CI 0.56–0.85) were less likely to bypass the nearest hospital to go to a high-volume hospital; additionally, Medicaid patients were less likely to undergo hepatectomy at a high-volume hospital independent of bypassing the nearest hospital (OR 0.60, 95%CI 0.48–0.76). Among the 3703 patients who underwent hepatectomy at a low-volume center, 2126 patients had actually bypassed a high-volume hospital. Among the remaining 1577 patients, 95% of individuals would have needed to travel less than 1 additional hour to reach a high-volume center. ConclusionRoughly, one-quarter of patients undergoing hepatectomy received care at a low-volume center; nearly all of these patients either bypassed a high-volume hospital or would have needed to travel less than an additional hour to reach a high-volume center. Travel distance needs to be considered in policies and healthcare delivery design to improve care of patients undergoing hepatic resection.

Opportunities and challenges in providing health care for International Retirement Migrants: a qualitative case study of Canadians travelling to Yuma, Arizona

BackgroundIncreasing numbers of older individuals opt to spend extended time abroad each year for lifestyle, health, and financial reasons. This practice is known as international retirement migration, and it is particularly popular among retirees in Global North countries such as Canada. Despite the popularity of international retirement migration, very little is known about how and why health care is accessed while abroad, nor the opportunities and challenges posed for destination hospitals. In this article we focus on addressing the latter knowledge gap.MethodsThis qualitative case study is focused on the only hospital in Yuma, Arizona – a popular destination for Canadian retirement migrants in the United States. We conducted focus groups with workers at this hospital to explore their experiences of treating this transnational patient group. Twenty-seven people participated in three, 90-min focus groups: twelve nurses, six physicians, and nine administrators. Thematic analysis of the focus group transcripts was conducted using a triangulated approach.ResultsParticipants identified three care environments: practice, transnational, and community. Each environment presents specific opportunities and challenges pertaining to treating Canadian retirement migrants. Important opportunities include the creation of a strong and diverse seasonal workforce in the hospital, new transnational paths of communication and information sharing for physicians and health administrators, and informal care networks that support formal health care services within and beyond the hospital. These opportunities are balanced out by billing, practical, administrative, and lifestyle-related challenges which add complexity to treating this group of transnational patients.ConclusionCanadians represent a significant group of patients treated in Yuma, Arizona. This is contrary to long-standing, existing research that depicts older Canadians as being reluctant to access care while in the United States. Significant overlaps exist between the opportunities and challenges in the practice, transnational and community environments. More research is needed to better understand if these findings are similar to other destinations popular with Canadian international retirement migrants or if they are unique to Yuma, Arizona.

Estimation of the burden of out-of-hospital traumatic cardiac arrest in Karachi, Pakistan, using a cross-sectional capture-recapture analysis

BackgroundThe burden of trauma-related-out-of-hospital cardiac arrest (OHCA) in developing countries like Pakistan remains largely unexplored due to a lack of organized pre-hospital systems. In order to estimate the burden, we used a two-sample capture-recapture method which has been used in several domains to estimate difficult-to-count populations.MethodsWe obtained 3-month data from two sources: Records of two major EMS (emergency medical services) systems and five major hospitals providing coverage to the city’s population. All adults with traumatic OHCA were included. Information on variables such as name, age, gender, date and time of arrest, cause of arrest, and destination hospital were obtained for these cases and data were compared to obtain a matched sample. Utilizing an equation and different levels of restrictive criteria, estimates were obtained for burden.ResultsThe EMS records reported 788 and hospital records reported 344 cases of traumatic OHCA. The capture-recapture analysis estimated the annual traumatic OHCA incidence as 45.7/100,000 (95% CI: 44.2 to 47.3). Estimation of the burden from individual hospital or EMS records underestimated and calculated only 14.6% and 33.9% of the total burden, respectively. Most of the traumatic arrest victims had gunshot wound (GSW) (65.2%) followed by road traffic injuries (RTI) (20.8%).ConclusionThe actual burden of traumatic OHCA in Pakistan is larger than the burden reported by either the hospitals or EMS services alone. Most of the cases occurred due to GSW and RTI. A multipronged approach is required to manage the problem; from prevention to developing organized trauma care systems and training lay responders in pre-hospital trauma care is vital.

Abstract 203: Characteristics of Emergency Medical Service Responses for Adults With Cardiovascular Disease-related Chief Complaints in The United States, 2016

Background: Gaps exist in understanding the commonality of cardiovascular disease (CVD)-related responses by emergency medical services responders in the United States (US) community setting. Objective: We examined characteristics of CVD-related responses among US adults with 9-1-1 emergency medical services (EMS) responses in a national database. Methods: The 2016 National Emergency Medical Services Information System (NEMSIS) database (Version 2.2.1) from 49 states was used. CVD-related chief complaints were defined by data element E09_12 in the NEMSIS code book. Exclusions were EMS cancellations, persons not found, those with unknown sex, and patients aged <18 years. Rates (per 1,000 EMS responses) were calculated for total population and by patient demographics. Chi-square statistical tests were used to assess associations. Percentages of CVD-related chief complaints were calculated for EMS responses (incident patient disposition, type of destination, and reasons for destination), and clinical characteristics (provider’s primary impression, provider’s secondary impression, primary symptom, and EMS condition code). Results: We identified over 19.8 million EMS responses among adults aged ≥18 years old in 2016, including 1,336,684 (67.4 per 1,000 EMS responses) with CVD-related chief complaints. Rates of CVD-related chief complaints per 1,000 EMS responses for females (68.5), patients aged 65-74 years old (87.7), Hawaiian Pacific Islanders (83.6), whites (73.4), and those living in the South census region (72.8) were significantly higher than their respective counterparts. Among EMS responses, most CVD-related chief complaints were treated and transported by EMS (83.1%), and of those transported by EMS, 83.5% were transported to a hospital. Reasons for hospital destinations among adults with CVD-related chief complaints were patient’s preferred hospital (34%) and closest facility (32.9%). Most CVD-related chief complaints were chest pain or discomfort according to provider’s primary impression (48%) and provider’s secondary impressions (6.1%). Finally, pain (46.2%) was the most frequently reported condition as primary symptom among EMS patient with CVD-related chief complaints. Conclusion: Approximately 1-in-15 EMS (9-1-1) responses among adults involved a CVD-related chief complaint. Future research could focus on trends for CVD-related EMS responses overtime. Keyword: 9-1-1 emergency system, prehospital cardiovascular disease, CVD-related events.

Adaptive fuzzy‐based message dissemination and micro‐artificial bee colony algorithm optimised routing scheme for vehicular ad hoc network

Nowadays, researches focus on providing services for the emergency vehicle and also providing potential applications. Vehicular ad hoc networks (VANETs) are considered as an emerging research area. In heavily populated cities, the emergency vehicles not being able to reach their destination (hospitals) on time due to the slow-moving traffic. Hence, it results in loss of lives many times. Therefore, the important concern in this area is reaching the destination in an emergency situation. In this study, an adaptive fuzzy-based message dissemination and micro artificial bee colony algorithm (MABC) optimised routing scheme for VANET is proposed. An adaptive fuzzy-based multi-criteria decision-making approach is adopted for the cluster head selection. This method combines the fuzzy decision-making trial and evaluation laboratory model-based analytical network process (ANP) termed as fuzzy DANP (i.e. Decision Making Trial and Evaluation Laboratory (DEMATEL) based Analytic Network Processes (ANP)) and fuzzy Višekriterijumska Optimizacija I kompromisno Rešenje methods for optimal decision making. For emergency broadcast, a vehicular emergency dissemination protocol is used in vehicle-to-vehicle communication. Finally, an MABC is used to select the best minimum route from start to the endpoint. The proposed method is simulated in MATLAB, and the results show outstanding improvements compared to other existing approaches.