OBJECTIVE: To evaluate the impact of specialized training for nurses on selective screening for undetected HIV infection in the emergency department.
METHODS: The intervention group was comprised of 6 emergency departments that had been participating in a screening program (the \"Urgències VIHgila\" project) for at least 3 months. Nurses on all shifts attended training sessions that emphasized understanding the circumstances that should lead to suspicion of unidentified HIV infection and the need to order serology. Two studies were carried out: 1) a quasi-experimental pre-post study to compare the number of orders for HIV serology in each time period and measures of sensitivity, and 2) a case-control study to compare the changes made in the 6 hospitals where specialized training was provided (cases) vs 6 control hospitals in the HIV screening program where no training was given.
RESULTS: A total of 280 HIV serologies were ordered for the 81015 patients (0.3%) attended during the period before training; 331 serologies were ordered for the 79620 patients in the period after training (0.4%). The relative increase in serologies was 20.3% (95% CI, 2.9% to 34.5%; P = .022). The relative increase in measures of sensitivity ranged between 19% and 39%, consistent with the main comparison. Serologies in the control group decreased between periods, from 0.9% to 0.8%, indicating a relative decrease of 15.7% (95% CI, -25.1% to -6.2%; P = .001). The absolute number of patients tested in the training group was 0.2% higher in the training hospitals (95% CI, 0.11% to 0.31%; P .001) than in the control hospitals.
CONCLUSIONS: Training nurses to screen for undetected HIV infection in the emergency department increased the number of patients tested, according to the pre-post and case-control comparisons.
OBJECTIVE: Evaluar el impacto de una formación específica para enfermería en el servicio urgencias (SU) sobre el despistaje selectivo de infección por VIH oculta.
METHODS: Participaron 6 SU adheridos al programa “Urgències VIHgila” con un mínimo de 3 meses y se realizaron sesiones formativas para los diferentes turnos. Las sesiones enfatizaban en qué circunstancias debía sospecharse infección oculta VIH y la necesidad de solicitar serología. Se realizaron dos estudios: 1) cuasiexperimental pre/post, que comparó la tasa de solicitudes VIH entre ambos periodos, con diversos análisis de sensibilidad; 2) caso-control, que comparó el cambio entre periodos de los 6 SU con formación (caso) con el cambio en otros 6 SU que no tuvieron formación (control).
RESULTS: Se realizaron serologías de VIH a 280 de los 81.015 pacientes atendidos durante el periodo preintervención (0,3%) y a 331 de los 79.620 del periodo posintervención (0,4%). El incremento relativo fue del 20,3% (IC 95% de +2,9% a +34,5%; p = 0,022). Los análisis de sensibilidad mostraron incrementos relativos congruentes con el análisis principal (entre 19% y 39%). En el grupo control hubo descenso de solicitudes entre periodos, del 0,9% al 0,8% (descenso relativo del 15,7%, IC 95% de –25,1% a–6,2%; p = 0,001). El grupo caso, en relación con el grupo control, tuvo un incremento absoluto de 0,2% (IC 95% de +0,11 a +0,31%, p 0,001) de pacientes testados.
CONCLUSIONS: La formación de enfermería para despistaje de la infección VIH oculta en urgencias incrementa el número de pacientes investigados, tanto comparado con el periodo previo a la formación como comparado con SU sin formación específica para enfermería.

OBJECTIVE: To develop and validate a risk model for 1-year mortality based on variables available from early prehospital emergency attendance of patients with infection.
METHODS: Prospective, observational, noninterventional multicenter study in adults with suspected infection transferred to 4 Spanish hospitals by advanced life-support ambulances from June 1, 2020, through June 30, 2022. We collected demographic, physiological, clinical, and analytical data. Cox regression analysis was used to develop and validate a risk model for 1-year mortality.
RESULTS: Four hundred ten patients were enrolled (development cohort, 287; validation cohort, 123). Cumulative mortality was 49% overall. Sepsis (infection plus a Sepsis-related Organ Failure Assessment score of 2 or higher) was diagnosed in 29.2% of survivors vs 56.7% of nonsurvivors. The risk model achieved an area under the receiver operating characteristic curve of 0.89 for 1-year mortality. The following predictors were included in the model: age; institutionalization; age-adjusted Charlson comorbidity index; PaCO2; potassium, lactate, urea nitrogen, and creatinine levels; fraction of inspired oxygen; and diagnosed sepsis.
CONCLUSIONS: The model showed excellent ability to predict 1-year mortality based on epidemiological, analytical, and clinical variables, identifying patients at high risk of death soon after their first contact with the health care system.
OBJECTIVE: Diseñar y validar un modelo de riesgo con variables determinadas a nivel prehospitalario para predecir el riesgo de mortalidad a largo plazo (1 año) en pacientes con infección.
METHODS: Estudio multicéntrico, observacional prospectivo, sin intervención, en pacientes adultos con sospecha infección atendidos por unidades de soporte vital avanzado y trasladados a 4 hospitales españoles entre el 1 de junio de 2020 y el 30 de junio de 2022. Se recogieron variables demográficas, fisiológicas, clínicas y analíticas. Se construyó y validó un modelo de riesgo para la mortalidad a un año usando una regresión de Cox.
RESULTS: Se incluyeron 410 pacientes, con una tasa de mortalidad acumulada al año del 49%. La tasa de diagnóstico de sepsis (infección e incremento sobre el SOFA basal $ 2 puntos) fue del 29,2% en supervivientes frente a un 56,7% en no supervivientes. El modelo predictivo obtuvo un área bajo la curva de la característica operativa del receptor para la mortalidad a un año fue de 0,89, e incluyó: edad, institucionalización, índice de comorbilidad de Charlson ajustado por edad, presión parcial de dióxido de carbono, potasio, lactato, nitrógeno ureico en sangre, creatinina, saturación en relación con fracción inspirada de oxígeno y diagnóstico de sepsis.
CONCLUSIONS: El modelo desarrollado con variables epidemiológicas, analíticas y clínicas mostró una excelente capacidad predictiva, y permitió identificar desde el primer contacto del paciente con el sistema sanitario, a modo de evento centinela, casos de alto riesgo.

Job stress is one of the important factors affecting employee behavior. One of the most important factors in reducing burnout caused by stress is organizational support. In this context, the aim of this study is to identify the moderating role of perceived organizational support in the effect of workload perception on burnout within the emergency healthcare professionals\' universe. The data for this study were collected from 703 health professionals working in emergency health services in three major cities of Turkey. The relationships and the model of the study is analyzed by the Structural Equation Model technique. The results indicate that perceived workload is a factor that causes employee burnout, and perceived organizational support is a factor that reduces employee burnout. This study contributes to researchers and health managers by revealing the importance of workload planning and organizational activities that support employees to reduce burnout in health workers.

OBJECTIVE: To determine the value of the soluble urokinase-type plasminogen activator receptor (suPAR) for predicting outcomes in emergency department (ED) patients. Secondary objectives were 1) to measure the predictive value of the usual decision points, 2) to identify patients at low risk for mortality who could be safely discharged from the ED, and 3) to measure the correlation between suPAR and other biomarkers.
METHODS: Prospective observational cohort study of patients attended in the EDs of participating hospitals. We recorded sociodemographic variables, comorbidity, variables related to the acute episode, prognostic markers commonly used in EDs, and suPAR concentration. Outcome variables were the need for hospital admission during the index episode, ED revisits within 90 days, and 90-day mortality.
RESULTS: A total of 990 patients with a median (interquartile range) age of 68 (53-81 years) were studied; 50.8% were men. The median suPAR concentration was 3.8 (2.8-6.0) ng/mL, and 112 patients (11.31%) required admission. At 90 days there were 276 revisits (27.9% of the cohort), and 47 patients (4.74%) had died. Mortality was lower (1%) in patients with suPAR concentrations less than 4 ng/mL (52.5%), and fewer of these patients revisited (24.4%) or required hospitalization (20.6%) than patients with suPAR concentrations higher than 6 ng/mL (mortality, 13.5%; revisits, 39.6%; admissions, 56.3%). A suPAR concentration over 6 ng/mL was associated with 90-day mortality and revisits (adjusted hazard ratios and 95% CIs of 4.61 [1.68-12.67] and 1.59 [1.13-2.10]), respectively. The high suPAR concentration was also associated with hospital admission (odds ratio, 1.62 [0.99-2.62]).
CONCLUSIONS: A suPAR concentration of less than 4 ng/mL identifies patients at low risk of 90-day mortality and revisits or need for hospitalization, whereas a suPAR concentration higher than 6 ng/mL is associated with higher risk for these outcomes.
OBJECTIVE: Determinar la capacidad del receptor soluble del activador del plasminógeno tipo uroquinasa (suPAR) para la estratificación pronóstica en pacientes atendidos en servicios de urgencias hospitalarios (SUH). Los objetivos secundarios son: 1) medir la capacidad de los `puntos de decisión habituales, 2) identificar una población de bajo riesgo de mortalidad que puede darse de alta de forma segura desde el SUH, y 3) medir la correlación entre suPAR y otros biomarcadores.
METHODS: Estudio observacional de cohortes prospectivo de pacientes atendidos en SUH. Se registraron variables sociodemográficas, de comorbilidad, datos del episodio agudo, biomarcadores de uso común en urgencias y suPAR. Las variables de resultado fueron la necesidad de ingreso en el episodio índice, reconsulta al SUH y mortalidad a los 90 días.
RESULTS: Se incluyeron 990 pacientes, la edad fue de 68 (53-81) años, 50,8% eran hombres, la mediana de suPAR fue de 3,8 (2,8-6,0) ng/ml, 112 pacientes (11,31%) requirieron ingreso. En el seguimiento a 90 días hubo 276 reconsultas (27,9%) y 47 pacientes (4,74%) fallecieron. Los pacientes con suPAR 4 ng/ml (52,5%) tenían menor mortalidad (1%), menor reconsulta (24,4%) y menor necesidad de ingreso hospitalario (20,6%), que pacientes con suPAR 6 ng/ml (mortalidad 13,5%, reconsulta 39,6% e ingreso 56,3%). Un suPAR 6 ng/ml mostró una hazard ratio (IC 95%) ajustada de 4,61 (1,68-12,67) para predecir mortalidad a 90 días y de 1,59 (1,13-2,10) para la reconsulta, y una odds ratio de 1,62 (0,99-2,62) para la necesidad de ingreso hospitalario.
CONCLUSIONS: Un valor de suPAR 4 ng/ml identifica pacientes con riesgo bajo de mortalidad a 90 días, de reconsulta y de necesidad de ingreso, mientras que los pacientes con suPAR 6 ng/ml tienen mayor mortalidad, reconsulta y necesidad de ingreso.

The latest acute heart failure consensus document from the Spanish Society of Cardiology, Spanish Society of Internal Medicine, and Spanish Society of Emergency Medicine was published in 2015, which made an update covering the main novelties regarding acute heart failure from the last few years necessary. These include publication of updated European guidelines on heart failure in 2016, new studies on the pharmacological treatment of patients during hospitalization, and other recent developments regarding acute heart failure such as early treatment, intermittent treatment, advanced heart failure, and refractory congestion. This consensus document was drafted with the aim of updating all aspects related to acute heart failure and to create a document that comprehensively describes the diagnosis, treatment, and management of this disease.

OBJECTIVE: Paramedics attend an unprecedented number of drug poisoning events daily in British Columbia (BC), Canada, due to the ongoing public health crisis related to an increasingly toxic and unregulated street supply of illicit drugs. Paramedics have the potential to support alternative models of care to reduce harm, but their perspectives toward harm reduction initiatives are polarized. Understanding the drug-related substance use content in paramedic curriculum documents is important for deploying effective harm-mitigating programs. The aim of this study was to determine how illicit drug-related substance curriculum prepares paramedics for practice in British Columbia.
METHODS: We performed a document analysis of curriculum documents in BC\'s paramedic training institutions, the primary program textbook, and the 2011 National Occupational Competency Profile (NOCP) for Paramedics in Canada. We used O\'Leary\'s eight-step process to guide the planning and procedure of the analysis. We analyzed and coded documents both inductively and deductively and subsequently combined, refined, and used the codes to inform the development of themes via reflexive thematic analysis. The Checklist for Assessment and Reporting of Document Analysis (CARDA) tool was used to report our analysis.
RESULTS: Of the 45 documents analyzed, 23 included codes relevant to the research questions. Paramedics are primarily taught to care for people who use drugs in an acute drug poisoning response only, with little consideration of holistic care and no meaningful mention of harm reduction. Some stigmatizing language was found within the content.
CONCLUSIONS: Many opportunities to introduce holistic models of care for people who use drugs along the entire continuum of care are unaddressed by paramedic curriculum documents in BC. Curriculum developers should include people who have lived and living experience of drug use in the co-design of educational programs involving their care. Further qualitative analyses are required to evaluate the relationship between paramedic education and provider-based stigma.

BACKGROUND: People who call emergency ambulances frequently are often vulnerable because of health and social circumstances, have unresolved problems or cannot access appropriate care. They have higher mortality rates. Case management by interdisciplinary teams can help reduce demand for emergency services and is available in some UK regions. We report results of interviews with people who use emergency ambulance services frequently to understand their experiences of calling and receiving treatment.
METHODS: We used a two-stage recruitment process. A UK ambulance service identified six people who were known to them as frequently calling emergency services. Through third-sector organisations, we also recruited nine individuals with healthcare experiences reflecting the characteristics of people who call frequently. We gained informed consent to record and transcribe all telephone interviews. We used thematic analysis to explore the results.
RESULTS: People said they make frequent calls to emergency ambulance services as a last resort when they perceive their care needs are urgent and other routes to help have failed. Those with the most complex health needs generally felt their immediate requirements were not resolved and underlying mental and physical problems led them to call again. A third of respondents were also attended to by police and were arrested for behaviour associated with their health needs. Those callers receiving case management did not know they were selected for this. Some respondents were concerned that case management could label frequent callers as troublemakers.
CONCLUSIONS: People who make frequent calls to emergency ambulance services feel their health and care needs are urgent and ongoing. They cannot see alternative ways to receive help and resolve problems. Communication between health professionals and service users appears inadequate. More research is needed to understand service users\' motivations and requirements to inform design and delivery of accessible and effective services.
UNASSIGNED: People with relevant experience were involved in developing, undertaking and disseminating this research. Two public contributors helped design and deliver the study, including developing and analysing service user interviews and drafting this paper. Eight public members of a Lived Experience Advisory Panel contributed at key stages of study design, interpretation and dissemination. Two more public contributors were members of an independent Study Steering Committee.

BACKGROUND: The 2019 coronavirus disease (COVID-19) pandemic created overwhelming demand for critical care services within Maryland\'s (USA) hospital systems. As intensive care units (ICUs) became full, critically ill patients were boarded in hospital emergency departments (EDs), a practice associated with increased mortality and costs. Allocation of critical care resources during the pandemic requires thoughtful and proactive management strategies. While various methodologies exist for addressing the issue of ED overcrowding, few systems have implemented a state-wide response using a public safety-based platform. The objective of this report is to describe the implementation of a state-wide Emergency Medical Services (EMS)-based coordination center designed to ensure timely and equitable access to critical care.
METHODS: The state of Maryland designed and implemented a novel, state-wide Critical Care Coordination Center (C4) staffed with intensivist physicians and paramedics purposed to ensure appropriate critical care resource management and patient transfer assistance. A narrative description of the C4 is provided. A retrospective cohort study design was used to present requests to the C4 as a case series report to describe the results of implementation.
RESULTS: Providing a centralized asset with regional situational awareness of hospital capability and bed status played an integral role for directing the triage process of critically ill patients to appropriate facilities during and after the COVID-19 pandemic. A total of 2,790 requests were received by the C4. The pairing of a paramedic with an intensivist physician resulted in the successful transfer of 67.4% of requests, while 27.8% were managed in place with medical direction. Overall, COVID-19 patients comprised 29.5% of the cohort. Data suggested increased C4 usage was predictive of state-wide ICU surges. The C4 usage volume resulted in the expansion to pediatric services to serve a broader age range. The C4 concept, which leverages the complimentary skills of EMS clinicians and intensivist physicians, is presented as a proposed public safety-based model for other regions to consider world-wide.
CONCLUSIONS: The C4 has played an integral role in the State of Maryland\'s pledge to its citizens to deliver the right care to the right patient at the right time and can be considered as a model for adoption by other regions world-wide.

UNASSIGNED: Patients receiving maintenance hemodialysis frequently require ambulance transport to the emergency department (ambulance-ED transport). Identifying predictors of outcomes after ambulance-ED transport, especially the need for timely dialysis, is important to health care providers.
UNASSIGNED: The purpose of this study was to derive a risk-prediction model for urgent dialysis after ambulance-ED transport.
UNASSIGNED: Observational cohort study.
UNASSIGNED: All ambulance-ED transports among incident and prevalent patients receiving maintenance hemodialysis affiliated with a regional dialysis program (catchment area of approximately 750 000 individuals) from 2014 to 2018.
UNASSIGNED: Patients\' vital signs (systolic blood pressure, oxygen saturation, respiratory rate, and heart rate) at the time of paramedic transport and time since last dialysis were utilized as predictors for the outcome of interest. The primary outcome was urgent dialysis (defined as dialysis in a monitored setting within 24 hours of ED arrival or dialysis within 24 hours with the first ED patient blood potassium level >6.5 mmol/L) for an unscheduled indication. Secondary outcomes included, hospitalization, hospital length of stay, and in-hospital mortality.
UNASSIGNED: A logistic regression model to predict outcomes of urgent dialysis. Discrimination and calibration were assessed using the C-statistic and Hosmer-Lemeshow test.
UNASSIGNED: Among 878 ED visits, 63 (7.2%) required urgent dialysis. Hypoxemia (odds ratio [OR]: 4.04, 95% confidence interval [CI]: 1.75-9.33) and time from last dialysis of 24 to 48 hours (OR: 3.43, 95% CI: 1.05-11.9) and >48 hours (OR: 9.22, 95% CI: 3.37-25.23) were strongly associated with urgent dialysis. A risk-prediction model incorporating patients\' vital signs and time from last dialysis had good discrimination (C-statistic 0.8217) and calibration (Hosmer-Lemeshow goodness of fit P value .8899). Urgent dialysis patients were more likely to be hospitalized (63% vs 34%), but there were no differences in inpatient mortality or length of stay.
UNASSIGNED: Missing data, requires external validation.
UNASSIGNED: We derived a risk-prediction model for urgent dialysis that may better guide appropriate transport and care for patients requiring ambulance-ED transport.
UNASSIGNED: Les patients sous hémodialyse chronique doivent souvent être transportés au service des urgences par ambulance (transport ambulance-SU). Il est important pour les prestataires de soins de santé que l’on détermine les facteurs prédictifs des résultats après un transport ambulance-SU, en particulier le besoin de dialyze d’urgence.
UNASSIGNED: Cette étude visait à établir un modèle de prédiction du risque pour une dialyze d’urgence après un transport ambulance-SU.
UNASSIGNED: Étude de cohorte observationnelle.
UNASSIGNED: Tous les transports ambulance-SU de patients incidents et prévalents recevant une hémodialyse chronique affiliée à un program régional de dialyze (zone desservant environ 750 000 personnes) entre 2014 et 2018.
UNASSIGNED: Les signes vitaux du patient (pression artérielle systolique, saturation en oxygène, fréquence respiratoire et fréquence cardiaque) au moment du transport par ambulance et le temps écoulé depuis la dernière dialyze.
UNASSIGNED: La dialyze d’urgence (définie comme une dialyze en environnement monitoré dans les 24 heures suivant l’arrivée aux urgences ou une dialyze dans les 24 heures avec une première mesure du taux de potassium sanguin aux urgences supérieure à 6,5 mmol/L) pour une indication non programmée. Résultats secondaires: hospitalization, durée du séjour à l’hôpital et mortalité à l’hôpital.
UNASSIGNED: Un modèle de régression logistique a servi à prédire le résultat de dialyze d’urgence. La discrimination et la calibration ont été évalués à l’aide de la statistique C et du test Hosmer-Lemeshow.
UNASSIGNED: Parmi les 878 visites aux urgences, 63 (7,2 %) ont nécessité une dialyze d’urgence. L’hypoxémie (rapport de cote [RC]: 4,04; IC à 95 %: 1,75-9,33) et des périodes de 24 à 48 heures (RC: 3,43; IC à 95 %: 1,05-11,9) et de plus de 48 heures (RC: 9,22; IC à 95 %: 3,37-25,23) depuis la dernière dialyze sont les facteurs qui ont été les plus fortement associés à une dialyze d’urgence. Un modèle de prédiction du risque intégrant les signes vitaux du patient et le temps depuis la dernière dialyze a présenté une bonne discrimination (statistique C: 0,8217) et une bonne calibration (qualité de l’ajustement selon Hosmer-Lemeshow: P =,8899). Les patients qui avaient reçu une dialyze d’urgence étaient plus susceptibles d’être hospitalisés (63% contre 34%), mais aucune différence n’a été observée pour le taux de mortalité ou la durée du séjour en milieu hospitalier.
UNASSIGNED: Données manquantes, validation externe requise.
UNASSIGNED: Nous avons dérivé un modèle de prédiction du risque de dialyze d’urgence susceptible de mieux guider le transport et les soins appropriés pour les patients nécessitant un transport ambulance-SU.

UNASSIGNED: The COVID-19 pandemic has significantly disrupted the entire healthcare system, resulting in unmet needs for medical care (e.g., delayed or forgone care) among patients with cancer.
UNASSIGNED: Using 2020 National Health Interview Survey data, we examined the prevalence of unmet healthcare needs and whether the self-reported experience of having delayed or forgone healthcare is associated with increased emergency services use and hospitalizations. A multivariable logistic regression model was used to assess the associations between unmet healthcare needs because of COVID-19 and emergency services use and hospitalization, controlling for potential confounding. All analysis was conducted in March and April 2022.
UNASSIGNED: Among 2,386 study participants living with cancer (representing 25.6 million U.S. adults), 33.7% reported having unmet healthcare needs because of the COVID-19 pandemic. The prevalence of unmet healthcare needs was higher among younger cancer survivors and those with higher education. In the adjusted analysis, cancer survivors with unmet healthcare needs were 31% more likely to report any emergency services use (adjusted OR=1.31, 95% CI=1.05, 1.65) than those without. Having unmet healthcare needs was not significantly associated with hospitalization (p=0.465).
UNASSIGNED: Our findings highlight the unmet need for cancer care because of the pandemic and potential adverse health outcomes.