No abstract

We have identified multiple studies demonstrating that screening and referral for PC consultation are feasible in the ED setting. The strengths and limitations of these studies were explored. Further evidence for the development of an effective, evidence-based PC screening, and referral process is needed. We recommend a screening framework based on a synthesis of available evidence.

Background: The emergency department (ED) is increasingly used by patients with life-limiting illness. These patients are frequently admitted to the hospital, where they suffer from poorly controlled symptoms and are often subjected to marginally effective therapies. Palliative care (PC) has emerged as the specialty that cares for patients with advanced illness. PC has been shown to reduce symptoms, improve quality of life, and decrease resource utilization. Unfortunately, most patients who could benefit from PC are never identified. At present, there exists no validated screening tool to identify significant unmet PC needs among ED patients with life-limiting illness.

During the last 6 months of life, 75% of older adults with preexisting serious illness, such as advanced heart failure, lung disease, and cancer, visit the emergency department (ED). ED visits often mark an inflection point in these patients' illness trajectories, signaling a more rapid rate of decline. Although most patients are there seeking care for acute issues, many of them have priorities other than to simply live as long as possible; yet without discussion of preferences for treatment, they are at risk of receiving care not aligned with their goals. An ED visit may offer a unique "teachable moment" to empower patients to consider their ability to influence future medical care decisions. However, the constraints of the ED setting pose specific challenges, and little research exists to guide clinicians treating patients in this setting. We describe the current state of goals-of-care conversations in the ED, outline the challenges to conducting these conversations, and recommend a research agenda to better equip emergency physicians to guide shared decisionmaking for end-of-life care. Applying best practices for serious illness communication may help emergency physicians empower such patients to align their future medical care with their values and goals. [

Use of the SQ by emergency physicians may predict 12-month mortality in older ED patients and may help emergency physicians identify older adults in need of palliative care interventions.

IntroductionInjury accounts for 9.6% of the global mortality burden, disproportionately affecting those living in low- and middle-income countries. In an effort to improve trauma care in Rwanda, the Ministry of Health developed a prehospital service, Service d’Aide Médicale Urgente (SAMU), and established an emergency medicine training program. However, little is known about patients receiving prehospital and emergency trauma care or their outcomes. The objective was to develop a linked prehospital–hospital database to evaluate patient characteristics, mechanisms of injury, prehospital and hospital resource use, and outcomes among injured patients receiving acute care in Kigali, Rwanda.MethodsA retrospective cohort study was conducted at University Teaching Hospital – Kigali, the primary trauma centre in Rwanda. Data was included on all injured patients transported by SAMU from December 2012 to February 2015. SAMU’s prehospital database was linked to hospital records and data were collected using standardised protocols by trained abstractors. Demographic information, injury characteristics, acute care, hospital course and outcomes were included.Results1668 patients were transported for traumatic injury during the study period. The majority (77.7%) of patients were male. The median age was 30 years. Motor vehicle collisions accounted for 75.0% of encounters of which 61.4% involved motorcycles. 48.8% of patients sustained injuries in two or more anatomical regions. 40.1% of patients were admitted to the hospital and 78.1% required surgery. The overall mortality rate was 5.5% with nearly half of hospital deaths occurring in the emergency centre.ConclusionA linked prehospital and hospital database provided critical epidemiological information describing trauma patients in a low-resource setting. Blunt trauma from motor vehicle collisions involving young males constituted the majority of traumatic injury. Among this cohort, hospital resource utilisation was high as was mortality. This data can help guide the implementation of interventions to improve trauma care in the Rwandan setting.

Background: Little is known about the optimal use of shared decision making (SDM) to guide palliative and end-of-life decisions in the emergency department (ED).

Context. Heart failure (HF) is associated with symptom exacerbations and risk of mortality after an emergency department (ED) visit. Although emergency physicians (EPs) treat symptoms of HF, often the opportunity to connect with palliative care is missed. The ''surprise question'' (SQ) ''Would you be surprised if this patient died in the next 12 months?'' is a simple tool to identify patients at risk for 12-month mortality.Objectives. The objective of this study was to assess the accuracy of the SQ when used by EPs to assess patients with HF. Methods. We conducted a prospective cohort study in which clinicians applied the SQ to patients presenting to the ED with symptoms of HF. Chart review and review of death records were completed. The primary outcome was accuracy of the surprise question to predict 12-month mortality. A univariate analysis for potential predictors of 12-month mortality was performed.Results. During the study period, 199 patients were identified, and complete data were available for 97% of observations (n ¼ 193). The one-year mortality was 29%. EPs reported that ''they would not be surprised'' if the patient died within the next 12 months in 53% of cases. 42.7% of these patients died within 12 months compared to 13.3% in the ''would be surprised'' group. There was a strong association with death in the ''not surprised'' group (odds ratio 4.85, 95% CI 2.34e9.98, P < 0.0001). The sensitivity, specificity, positive predictive value, and negative predictive value of the SQ were 78.6%, 56.9%, 42.7%, and 86.7%, respectively, with c-statistic ¼ 0.68.Conclusion. The SQ screening tool can assist ED providers in identifying HF patients that would benefit from early palliative care involvement.