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Abstrakt

Alcohol Consumption for People Admitted in French Emergency Departments: A Protocol for a Multi-Center Cluster Trial

De Chazeron I, Guelon T, Chalmeton M, Carpentier F, Moustafa F, Viallon A, Jacob X, Lesage P, Ragonnet D, Genty A, Geneste J, Dematteis M, Malet L and Brousse G

Background: According to a 2014 report by the World Health Organization, the highest alcohol consumption levels per capita continue to be found in the developed world, particularly in the European region. Drinking alcohol does not only lead to alcohol dependence; it also be linked to a higher risk for acute medical and surgical events. In France, recent data show that alcohol consumption levels in the general population are important and have remained relatively stable since 2010. In the Emergency Department population, few French data are available, while studies conducted across the Atlantic show that patients admitted into emergency rooms are reported to have high levels of alcohol consumption. Emergency Departments are an important location for the identification and early intervention of issues related to alcohol consumption. Therefore, the aim of this study is to carry out an epidemiological picture of alcohol consumption and search for indicators of harmful alcohol use in patients in the French emergency rooms of the Rhône-Alpes-Auvergne interregion.
Methods and Analysis: This observational, and descriptive and randomized clinical study on human beings will consists of a collection of clinical variables on all patients that will be admitted to the Emergency Departments of the RAA Rhône-Alpes-Auvergne interregion aged of (16 years or older) and who will be agree to participate to the study. It will include one visit where the patient will respond to three auto-administrating screening tests on his or her alcohol consumption: Alcohol Use Disorders Identification Test – C (AUDIT C), Cut-down, Annoyed, Guilty, Eye-opener test (CAGE) and the Rapid Alcohol Problems Screen – Quantity Frequency test (RAPS4 – QF). Similarly, they will answer two self-administering questionnaires on socio-demographic and emergency data.