[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"emergency-departments\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:emergency-departments":25},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,3,0,[8,39,60],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":23,"conditions":24,"keywords":4,"overallStatus":26,"whyStopped":4,"lastUpdateSubmitDate":27,"lastUpdatePostDateStruct":28,"startDateStruct":31,"completionDateStruct":33,"leadSponsor":35,"locationsCount":38},"100637409","emergency-and-urgent-care-indicators-in-piedmont-100637409",false,"NCT07606209","Emergency and Urgent Care Indicators in Piedmont","Project on Indicators for Emergency and Urgent Care Services in the Piedmont Region","PRIME","Inclusion Criteria:\n\n* Adult patients (age \\>18 years) who presented to the participating Emergency Departments between 1\u002F1\u002F2023 and 31\u002F12\u002F2025.\n\nExclusion Criteria:\n\n* All patients under 18 years.","ALL","18 Years",{"count":20,"type":21},650000,"ESTIMATED","OBSERVATIONAL","The Emergency Department represents the main entry point to the hospital and a key setting for the management of urgent healthcare needs in the population. To date, the assessment of care quality has mainly focused on organizational aspects, with limited structured tools to systematically measure clinical and care processes.\n\nOvercrowding and limited resources make dedicated data collection unsustainable; therefore, it is necessary to rely on data already available from routine healthcare information systems. In this context, the study aims to assess the feasibility of using these data to construct quality indicators, as well as to evaluate their availability and reliability across participating centers.\n\nThe study will also analyze variability in indicators among participating Emergency Departments, with the goal of identifying differences in care processes and potential areas for improvement.",[25],"Emergency Departments","NOT_YET_RECRUITING","2026-05-25",{"date":29,"type":30},"2026-05-28","ACTUAL",{"date":32,"type":21},"2026-07-01",{"date":34,"type":21},"2027-07-01",{"name":36,"class":37},"Mario Negri Institute for Pharmacological Research","OTHER",1,{"id":40,"slug":41,"hasResults":11,"nctId":42,"briefTitle":43,"officialTitle":44,"acronym":4,"eligibilityCriteria":45,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":46,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":48,"conditions":49,"keywords":4,"overallStatus":50,"whyStopped":4,"lastUpdateSubmitDate":51,"lastUpdatePostDateStruct":52,"startDateStruct":54,"completionDateStruct":56,"leadSponsor":58,"locationsCount":59},"100594566","mild-tbi-in-the-emergency-department-100594566","NCT07021118","Mild TBI in the Emergency Department","The Use of Brain Computed Tomography in the Management of the Patient With Mild TBI in the Emergency Department","Inclusion Criteria:\n\nAdult patients arriving in the emergency department. Adult patients with mild TBI Adult patients with Glasgow Coma Scale 13-15.\n\nExclusion Criteria:\n\nAll patients under 18 years. Patients with trauma-associated loss of consciousness lasting more than 30 minutes.\n\nPatients with post-traumatic amnesia lasting more than 24 hours.",{"count":47,"type":21},2500,"Mild TBI is one of the main causes of admission to the Emergency Department (ED). Brain computed tomography (CT) is one of the most widely used diagnostic tools to assess the presence of intracranial lesions. However, in Western countries, 85-95% of CT scans performed in the ED for mild TBI are negative. It is therefore conceivable that a significant number of CTs could be avoided by a more careful use of this exam. On the other hand, excessive use of CT exposes patients to unnecessary radiation, increases healthcare costs and slows down the management of patients in the ED.\n\nThis study aims to analyze the variability in the use of CT in mild TBI in Italian EDs, validate the scores designed to help the physician decide when to use it and develop a model that predicts the medium-term outcome of patients with mild head trauma.",[25],"RECRUITING","2026-05-18",{"date":53,"type":30},"2026-05-20",{"date":55,"type":30},"2026-01-21",{"date":57,"type":21},"2027-08-31",{"name":36,"class":37},24,{"id":61,"slug":62,"hasResults":11,"nctId":63,"briefTitle":64,"officialTitle":65,"acronym":66,"eligibilityCriteria":67,"healthyVolunteers":11,"sex":17,"minAge":68,"maxAge":4,"enrollmentInfo":69,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":71,"conditions":72,"keywords":4,"overallStatus":26,"whyStopped":4,"lastUpdateSubmitDate":76,"lastUpdatePostDateStruct":77,"startDateStruct":79,"completionDateStruct":81,"leadSponsor":83,"locationsCount":38},"100629497","prognostic-factors-of-hospitalization-for-patients-aged-75-and-over-in-emergency-department-in-france---monocentric-retrospective-cohort-study-100629497","NCT07475442","Prognostic Factors of Hospitalization for Patients Aged 75 and Over in Emergency Department in France - Monocentric Retrospective Cohort Study","Prognostic Factors of Hospitalization for Patients Aged 75 and Over in Emergency Department in France - Monocentric Retrospective Cohort Study - PROFACTHOS","PROFACTHOS","Inclusion Criteria:\n\n* Adult over or equal 75 years old\n* Patient admitted to the emergency department between 10\u002F01\u002F2022 and 09\u002F30\u002F2023 for the second group, and between 10\u002F01\u002F2024 and 09\u002F30\u002F2025 for the first group\n* Patient and\u002For family and\u002For trusteeship who doesn't refused to participate\n\nExclusion Criteria:\n\n* Patient died before admitted to emergency department\n* Patient already included in the study\n* File created by mistake, identified by the mention \"Erreur de dossier\"\n* Patient deprived of total or partial liberty by a judicial or administrative decision","75 Years",{"count":70,"type":21},967,"A geriatric patient is defined as a patient aged 75 and over who meets certain medical or social vulnerability criteria and is characterised by coexisting physical and\u002For psychological dependence. The proportion of patients with a geriatric profile in the general population is growing. The average time spent in the emergency department by the elderly population is about 3 hours longer than for patients under 75 years old in France, which is associated with the risk of decompensation of chronic conditions, confusion, falls or agitation. An overnight stay in the emergency department for these patients increases the risk of mortality and the length of hospital stay.\n\nSeveral prognostic scores for hospitalization have been studied in adult populations. The most widely used scores are the Sydney Triage to Admission Risk Tool (START), the Ambulatory (AMB) and the Glasgow Admission Prediction Score (GAPS). Studies have compared these three scores and demonstrated the greater robustness of GAPS. The CalcuLation of the Elderly Admission Risk in the Emergency Department (CLEARED) tool, developed for the elderly population, has lower performance than GAPS. A systematic review of the literature studied the power of GAPS for the geriatric population and highlighted the need for validation in the target population. No validated hospitalization prognostic score was found in France for this population. The research hypothesis is that GAPS would detect hight probability of admission at the time of triage for the patients aged 75 and over in emergency department in France. The primary objective of this monocentric study is to evaluate the prognostic performance of GAPS for the target population (on the group 1). The secondary objectives consist of developing and internally validating a new score (PROFACTHOS) (on the group 2), then performing a temporal validation of PROFACTHOS with comparison to the GAPS (on the group 1), and finally to determine the threshold for classifying patients with a high probability of hospitalization for the score with the strongest discriminatory performance among GAPS or PROFACTHOS.\n\nGroup 1: Patients aged 75 and over admitted to emergency department from 10\u002F01\u002F2024 to 09\u002F30\u002F2025.\n\nGroup 2 : Patients aged 75 and over admitted to emergency department from 10\u002F01\u002F2022 to 09\u002F30\u002F2023",[73,25,74,75],"Elderly","Prognostic Factors","Hospitalizations","2026-03-10",{"date":78,"type":30},"2026-03-16",{"date":80,"type":21},"2026-03-15",{"date":82,"type":21},"2027-04-15",{"name":84,"class":37},"Poitiers University Hospital"]