Immersion in an emergency department triage center during the Covid-19 outbreak: first report of the Liège University hospital experience.

OBJECTIVES: Since the beginning of the novel coronavirus outbreak, different strategies have been explored to stem the spread of the disease and appropriately manage patient flow. Triage, an effective solution proposed in disaster medicine, also works well to manage Emergency Department (ED) flow. The aim of this study was to describe the role of an ED Triage Center for patients with suspected novel coronavirus disease (Covid-19) and characterize the patient flow. METHODS: In March 2020, we established a Covid-19 triage center close to the Liège University EDs. From March 2 to March 23, we planned to analyze the specific flow of patients admitted to this triage zone and their characteristics in terms of inner specificities, work-up and management. During this period, all patients presented to the ED with symptoms suggestive of Covid-19 were included in the study. RESULTS: A total amount of 1071 patients presented to the triage center during the study period. 41.50% of the patients presented with flu-like symptoms. In 82.00% of the cases, no risk factor of virus transmission was found. The SARS-Cov2 positive patients represented 29.26% of the screened patients. 83.00% of patients were discharged home while 17.00% were admitted to the hospital. CONCLUSION: Our experience suggests that triage centers for the assessment and management of Covid-19 suspected patients is an essential key strategy to prevent the spread of the disease among non-symptomatic patients who present to the EDs for care. This allows for a disease-centered work-up and safer diversion of Covid-19 patients to specific hospital units.

Reliability and validity of an original nurse telephone triage tool for out-of-hours primary care calls: the SALOMON algorithm.

OBJECTIVES: Due to the persistent primary care physicians shortage and the substantial increase in their workload, the organization of primary care calls during out-of-hours periods has become an everyday challenge. The SALOMON algorithm is an original nurse telephone triage tool allowing to dispatch patients to the best level of care according to their conditions. This study evaluated its reliability and criterion validity in rea-life settings. METHODS: In this 5-year study, out-of-hours primary care calls were dispatched into four categories: Emergency Medical Services Intervention (EMSI), Emergency Department referred Consultation (EDRC), Primary Care Physician Home visit (PCPH), and Primary Care Physician Delayed visit (PCPD). We included data of patients' triage category, resources, and destination. Patients included into the primary care cohort were classified undertriaged if they had to be redirected to an emergency department (ED). Patients from the ED cohort were considered overtriaged if they did not require at least three diagnostic resources, one emergency-specific treatment or any hospitalization. In the ED cohort, only patients from the University Hospitals were considered. RESULTS: 10,207 calls were triaged using the SALOMON tool: 19.2% were classified as EMSI, 15.8% as EDRC, 62.8% as PCPH, and 2.2% as PCPD. The triage was appropriate for 85.5% of the calls with a 14.5% overtriage rate. In the PCPD/PCPH cohort, 96.9% of the calls were accurately triaged and 3.1% were undertriaged. SALOMON sensitivity and specificity reached 76.6% and 98.3%, respectively. CONCLUSION: SALOMON algorithm is a valid triage tool that has the potential to improve the organization of out-of-hours primary care work.

Advanced triage to redirect non-urgent Emergency Department visits to alternative care centers: the PERSEE algorithm.

OBJECTIVES: Primary care treatable visits in the Emergency Department (ED) are part of the different factors leading to the overcrowding. Their triage and diversion to alternative care centers could potentially help manage the increasing inflow provided the establishment of an advanced triage to ensure patients' safety. We aim to suggest a new triage tool, PERSEE, and prove its feasibility, safety and performance. METHODS: All self-referrals presented to the ED were triaged with the PERSEE algorithm: first, patients were classified with a five-level ED acuity scale and then evaluated by algorithms to determine their appropriate category (ED or Primary Care). Patients were eligible for a redirection if they were triaged by the acuity scale as level 3 or lower, considered as ambulatory patients and finally categorized as primary care patients. We defined appropriate redirections as patients requiring less than three emergency resources, no emergency-specific treatment and no hospitalization. RESULTS: During the study, 1999 patients were admitted to the ED. Among those, 1333 patients were self-referred (66.9%) of whom 1167 patients were triaged as level 3 or below (58.6%) and 775 patients triaged as ambulatory (39.0%). Among the 775 patients, 200 patients were categorized as primary care treatable (10.0%) and thereby, as potentially eligible for a redirection. We noticed an error rate of 7%, sensitivity of 24.06% and specificity of 97.6%. The redirection rate reached 15% of the self-referrals. CONCLUSION: These results indicate that PERSEE triage could lead to a safe redirection and could be an efficient tool to reduce ED crowding provided several adjustments.

Emergency department crowding: why do patients walk-in?

Objectives: For years, general practitioners (GP) shortage and patients' increasing demand for acute care have been associated with Emergency Department (ED) crowding. Indeed, EDs admissions for non-emergency care seem to constantly increase. Surprisingly, the rationale for patients own decision to directly reach EDs over primary care have been poorly investigated to date.Methods: We conducted a study on patients admitted in two University EDs during nine consecutive days. Patients were asked to answer a survey about their frames for coming and if they were self-referred, referred by a GP, a specialist or after calling the Emergency Number.Results: During the study period, 68.0% of patients were self-referred, 17.0% referred by their GP, 8.5% by a specialist and 7% after an emergency call. 51.0% of the self-referrals thought EDs were the appropriate location to deal with their health problem and 24.0% because of a better accessibility. We noticed that 15.0% of the incomings looked for specialized care and 4.22% reported that the stress had motivated them. Of note, 4.6% of the patients were attracted by the hospital reputation. Financial concerns represented less than 1.0% of the motives invocated.Conclusion: We found that patients' self-perceived severity of illness is the predominant frame to each the ED when they face needs for acute care. EDs' accessibility as compared with other facilities also seems to encourage patients to come to the ED. Other factors such as the hospital reputation or patients' stress tend to influence ED attendance but to a much lesser extent.

Parsonage-Turner Syndrome as a Rare Extrahepatic Complication of Hepatitis E Infection.

Parsonage-Turner syndrome, also known as neuralgic amyotrophy, is a rare disorder characterized by painful clinical manifestations mainly involving the upper limbs. This syndrome seems to be triggered, among other factors, by some viral infections, although its pathophysiology remains unclear. Moreover, it has rarely been related to hepatitis E virus infection. We report the case of a 33-year-old man who was diagnosed with Parsonage-Turner syndrome following acute hepatitis E infection. LEARNING POINTS: Parsonage-Turner syndrome is a painful and disabling condition.Hepatitis E infection can lead to extra-hepatic manifestations such as neurological complications.The association of Parsonage-Turner syndrome with hepatitis E infection is rare but some cases have been reported previously in the literature.

Triage for out-of-hours primary care calls: a reliability study of a new French-language algorithm, the SALOMON rule.

Introduction: Triage systems for out-of-hours primary care physician (PCP) calls have been implemented empirically but no triage algorithm has been validated to date. A triage algorithm named SALOMON (Système Algorithmique Liégeois d'Orientation pour la Médecine Omnipraticienne Nocturne) was developed to guide triage nurses. This study assessed the performance of the algorithm using simulated PCP calls. Methods: Ten nurses were involved in 130 simulated PCP call scenarios, allowing the determination of SALOMON's inter-rater agreement by comparing the actual choices of a specific triage flowchart and the level of care selected as compared with reference assignments. Intra-rater agreement was estimated by comparing triage after training (T1) and 3 to 6 months after SALOMON use in clinical practice (T2). Results: Overall selection of flowcharts was accurate for 94 .1% of scenarios at T1 and 98.7% at T2. Level of triage was adequate for 93.4% of scenarios at T1 and 98.5% at T2. Both flowchart and triage level accuracy improved significantly from T1 to T2 (p < 0.0001). SALOMON algorithm use is associated with a 0.97/0.99 sensitivity and 0.97/0.99 specificity, at T1/T2 respectively. Conclusions: Results revealed that using the SALOMON algorithm is valid for out-of-hours PCP calls triage by nurses. The criterion validity of this algorithm should be further evaluated through its implementation in a real life setting.

Improving tetanus prophylaxis in the emergency department: a prospective, double-blind cost-effectiveness study.

BACKGROUND: The choice of tetanus prophylaxis for patients with wounds depends on obtaining their vaccination history, which has been demonstrated to be unreliable. Use of a rapid immunoassay (Tétanos Quick Stick, the TQS), combined with knowledge of certain demographic characteristics, may improve the evaluation of tetanus immunity and thus help to avoid inadequate prophylactic measures and reduce costs. OBJECTIVES: To evaluate the contribution of the TQS in the choice of tetanus prophylaxis and to perform a cost-effectiveness analysis. The final aim was to define the place of the TQS in a modified algorithm for assessment of tetanus immunity in the emergency department. METHOD: In this Belgian prospective, double-blind, multicentre study, 611 adult patients with a wound were included; 498 (81.5%) records were valid. The TQS test was performed by a nurse before the vaccination history was taken and the choice of prophylaxis was made, using the official algorithm (Belgian Superior Health Council), by a doctor who was unaware of the TQS result. RESULTS: The prevalence of protective anti-tetanus immunity was 74.1%. Immunity was lower in older patients and in female patients. The TQS was a cost-effective tool for patients presenting with a tetanus-prone wound and considered from the vaccination history to be unprotected. Use of the TQS would have improved management in 56.9% (95% CI 47.7% to 65.7%) of patients by avoiding unnecessary treatments, leading to a reduction in the mean cost per patient (10.58 euros/patient with the TQS versus 11.34 euros/patient without). The benefits of the TQS use were significantly greater in patients <61 years old: unnecessary treatment would have been avoided in 76.9% (95% CI 65.8% to 85.4%) of cases and the mean cost per patient reduced to 8.31 euros. CONCLUSION: In selected patients, the TQS is a cost-effective tool to evaluate tetanus immunity. An algorithm is proposed for ED assessment of tetanus immunity integrating age and the TQS result.