Computerized alcohol screening identified more at-risk drinkers in a level 2 than a level 1 trauma center

Bibliographic Data

ID15355751
AuthorsGhasem Imani (University of California, Irvine, corresponding author), Cristobal Barrios (0000-0003-4568-5798, University of California, Irvine), Craig L Anderson (0000-0003-2230-5131, University of California, Irvine), Maryam Hosseini Farahabadi (0000-0001-5295-0516, University of California, Irvine), Faried Banimahd (University of California, Irvine), Bharath Chakravarthy (0000-0002-8568-4709, University of California, Irvine), Wirachin Hoonpongsimanont (0000-0003-0507-7149, University of California, Irvine), Christopher Eric Mccoy (0000-0002-6719-0852, University of California, Irvine), Georginne Mercado (St. Joseph Health System), Babak Farivar (University of California, Irvine), Jacqueline Pham (University of California, Irvine), Jacqueline K Pham, Shahram Lotfipour (0000-0003-3437-9410, University of California, Irvine)
Year2017
Volume17
Issue1
Pages32-32
Publication date2017-01-06
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-016-3989-6
PMID28056919
OpenAlexW2569153527
LanguageEN
References cited29

Findings suggest that SBI is effective in identifying at-risk drinkers in level 2 trauma center. SBI was able to identify all drinkers, including at-risk and dependent drinkers at higher rates in level 2 versus level 1 trauma centers. Further studies to evaluate the effectiveness of SBI in altering drinking patterns among level 2 trauma patients are warranted

Alcohol Use Disorders Identification Test · Audit · Biostatistics · Family medicine · Injury prevention · Occupational safety and health · Poison control · Referral · Retrospective cohort study · Suicide prevention · Trauma center · Emergency and Acute Care Studies · Homelessness and Social Issues · Medicine · Substance Abuse Treatment and Outcomes · Emergency Medicine · Epidemiology · Internal Medicine

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