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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.

The regulation of the unscheduled care takes part of the different methods engaged to better organize the global demand for unscheduled urgent care among the different levels of care. Indeed, the first level of care equally with the emergency departments are facing major patient inflows often exceeding their available resources. Technological advances in healthcare and spreading of medical information reveal themselves as precursors of new adaptive strategies and daily challenges. The creation of an interactive app for patients self-triage through the different levels of care involves those different concepts. We created a new interactive platform, the ODISSEE mobile application (Outil Décisionnel et Informatif des Structures de Soins Efficientes Existantes), to allow patient's self-triage to the best level of care. The protocols used were directly based on a previously validated tool with a 5-year experience in our institution, the SALOMON algorithm (Système Algorithmique Liégeois d'Orientation pour la Médecine Omnipraticienne Nocturne). Establishment of interactive self-triage platform to guide patients to the best level of care could potentially be a promising tool to improve the regulation of unscheduled urgent care.

Facing the aging of primary care practitioners and their still increasing duties, we implemented a new and original solution to maintain the continuity of primary care in the area surrounding of our university hospital. Thereby, we created a new model of nurse telephone triage for the regulation of out-of-hours primary care calls, the SALOMON algorithm ("Système Algorithmique Liégeois d'Orientation pour la Médecine Omnipraticienne Nocturne"). Following the nurse telephone triage and the assessment of the illness severity, the patient is referred to four potential orientations : Emergency Medical Services (EMS), Emergency Department Referred Consultation (EDRC), Primary Care Physician Home visit (PCPH) and Primary Care Physician Delayed visit (PCPD). In this article, we aim to describe the SALOMON model and present a 12-month feasibility study in order to determine the safety of the tool. We can also notice nurse and general practitioner satisfaction about this approach with a positive impact on the global primary care out-of-hour organization. Currently, SALOMON seems to be full of promise. Further investigations on a larger cohort are needed to determine more precisely the reliability of the algorithm.

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.

Aim: To improve the communication during shift handover in an emergency department., Methods: We observed the handover process and analysed the discourse between physicians at shift change first, and then we created two cognitive tools and tested their clinical impact on the field. We used different measures to evaluate this impact on the health care process including the frequency and type of information content communicated between physicians, duration of the handoff, physician self-evaluation of the quality of the handoff and a posthandover study of patient handling., Results: Our results showed that the patient's medical history, significant test results, recommendations (treatment plan) and patient follow-up were communicated to a greater extent when the tools are used. We also found that physicians spent more time at the bedside and less time consulting medical records using these tools., Conclusion: The present study showed how in-depth observations and analyses of real work processes can be used to better support the quality of patient care.

The prolongation of life expectancy can only increase the proportion of elderly people in the future. The Emergency Departments being the main gateway to our hospitals, they will often have to admit such patients with their distinct characteristics. These individuals present with a more or less marked geriatric profile; it will be essential to determine their degree of frailty, a factor allowing to predict their survival and future level of autonomy. Evaluation tools have been developed to improve the management of these patients at important moments of their stay in the Emergency Department.

Objective: Overcrowding in emergency departments (ED) leads to reductions in quality of care. Consequently, several different triage tools have been developed to prioritise patient intake. Differences in emergency medical services in different countries have limited the generalisation of pre-existing triage systems; for this reason, specific algorithms corresponding to local characteristics are needed. Accordingly, we developed a specific French-language triage system named Echelle Liégeoise d'Index de Sévérité à l'Admission (ELISA). This study tested its validity and efficiency., Methods: ELISA is a five-category nursing triage algorithm. Intrarater agreement was tested by comparing triage levels attributed to the same clinical scenarios at two different times. Interrater agreement was investigated by comparing triage categories attributed to clinical cases by different triage nurses. Finally, validity was estimated by studying the correlations between the triage ranking assigned by the nurse and actual resource consumption and patient outcome., Results: The distribution of the difference between nurse classification at the two times was statistically unrelated to which nurse carried out the evaluation. Regarding interrater agreement, assigned classifications were compared to the reference assignment. Cohen's κ coefficient revealed an almost perfect agreement between classification by nurses and the reference. Finally, statistical analysis revealed a strong relation between ELISA and the overall need for supplementary clinical testing. Outcomes were also significantly correlated with ELISA., Conclusions: The need for a specific, French-language triage tool in our ED led us to develop a new triage scale. This study demonstrates that the scale is a valid triage tool with high interrater and intrarater agreement and considerable efficiency.

Emergency departments are frequently overcrowded due to the imbalance between need and availability of care. It results that influx patients should be regulated by using a triage tool located at the entrance area. This process has been in development for almost 15 years.We propose a new algorithm of triage (ELISA or Liège Scale of severity index at admission) based on a five-score level of emergency from U1 (emergent) to U5 (non urgent). Such a stratification of the state of emergency is associated with a time-delay for the first medical contact (immediate to 120 min) and a corresponding track for providing optimal care (emergency care unit, B sector or bed, A sector or ambulatory and waiting room) which together fit the sorting for the right patient to the right resources in the right place at the right time. Our algorithm has a confident efficiency as evidenced by the comparison between initial score of emergency and patient's follow up (intensive care, hospital recovery and discharge).

Objective: Virulent airborne diseases can be a real burden to a nation's health system. The most recent threat is the fear of a mutation-induced H5N1-influenza pandemic. We studied whether Belgian hospitals are able to deal with H5N1-influenza infected patients in the case of a pandemic. Many patients, including children, may require artificial ventilation within 48 h after admission., Methods: A survey aimed at determining 'availability and preparedness' was sent by e-mail to the different Belgian Emergency Departments., Results and Discussion: Sixty-five hospitals were finally included. The amount of patients being potentially admitted is limited, owing to the reduced number of intensive care beds equipped with automatic ventilators. Furthermore, the number of available intensive care beds for children is still lower than for adult patients. The number of mortuary places, in the case of a catastrophe, is also insufficient. Although most hospitals set up a disaster plan on H5N1, there are only limited stocks of antiviral medication to protect the hospital staff in the acute phase. A separate triage area is only available in a limited number of hospitals. We conclude that Belgian hospitals and emergency departments are not equipped to deal with potential pandemic situations.