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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.

Background Multiple guidelines recommend debriefing after clinical events in the emergency department (ED) to improve performance, but their implementation has been limited. We aimed to start a clinical debriefing program to identify opportunities to address teamwork and patient safety during the COVID-19 pandemic. Methods We reviewed existing literature on best-practice guidelines to answer key clinical debriefing program design questions. An end-of-shift huddle format for the debriefs allowed multiple cases of suspected or confirmed COVID-19 illness to be discussed in the same session, promoting situational awareness and team learning. A novel ED-based clinical debriefing tool was implemented and titled Debriefing In Situ COVID-19 to Encourage Reflection and Plus-Delta in Healthcare After Shifts End (DISCOVER-PHASE). A facilitator experienced in simulation debriefings would facilitate a short (10–25 min) discussion of the relevant cases by following a scripted series of stages for debriefing. Data on the number of debriefing opportunities, frequency of utilization of debriefing, debriefing location, and professional background of the facilitator were analyzed. Results During the study period, the ED treated 3386 suspected or confirmed COVID-19 cases, with 11 deaths and 77 ICU admissions. Of the 187 debriefing opportunities in the first 8-week period, 163 (87.2%) were performed. Of the 24 debriefings not performed, 21 (87.5%) of these were during the four first weeks (21/24; 87.5%). Clinical debriefings had a median duration of 10 min (IQR 7–13). They were mostly facilitated by a nurse (85.9%) and mainly performed remotely (89.8%). Conclusion Debriefing with DISCOVER-PHASE during the COVID-19 pandemic were performed often, were relatively brief, and were most often led remotely by a nurse facilitator. Future research should describe the clinical and organizational impact of this DISCOVER-PHASE.

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.

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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 diseasecentered work-up and safer diversion of Covid-19 patients to specific hospital units.

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