Literature DB >> 15547456

Gender differences in the performance of a computerized version of the alcohol use disorders identification test in subcritically injured patients who are admitted to the emergency department.

Tim Neumann1, Bruno Neuner, Larry M Gentilello, Edith Weiss-Gerlach, Henriette Mentz, Jordan S Rettig, Torsten Schröder, Helmar Wauer, Christian Müller, Michael Schütz, Karl Mann, Gerda Siebert, Michael Dettling, Joachim M Müller, Wolfgang J Kox, Claudia D Spies.   

Abstract

OBJECTIVE: The Alcohol Use Disorder Identification Test (AUDIT) has been recommended as a screening tool to detect patients who are appropriate candidates for brief, preventive alcohol interventions. Lower AUDIT cutoff scores have been proposed for women; however, the appropriate value remains unknown. The primary purpose of this study was to determine the optimal AUDIT cutpoint for detecting alcohol problems in subcritically injured male and female patients who are treated in the emergency department (ED). An additional purpose of the study was to determine whether computerized screening for alcohol problems is feasible in this setting.
METHODS: The study was performed in the ED of a large, urban university teaching hospital. During an 8-month period, 1205 male and 722 female injured patients were screened using an interactive computerized lifestyle assessment that included the AUDIT as an embedded component. World Health Organization criteria were used to define alcohol dependence and harmful drinking. World Health Organization criteria for excessive consumption were used to define high-risk drinking. The ability of the AUDIT to classify appropriately male and female patients as having one of these three conditions was the primary outcome measure.
RESULTS: Criteria for any alcohol use disorder were present in 17.5% of men and 6.8% of women. The overall accuracy of the AUDIT was good to excellent. At a specificity >0.80, sensitivity was 0.75 for men using a cutoff of 8 points and 0.84 for women using a cutoff of 5 points. Eighty-five percent of patients completed computerized screening without the need for additional help.
CONCLUSIONS: Different AUDIT scoring thresholds for men and women are required to achieve comparable sensitivity and specificity when using the AUDIT to screen injured patients in the ED. Computerized AUDIT administration is feasible and may help to overcome time limitations that may compromise screening in this busy clinical environment.

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Year:  2004        PMID: 15547456     DOI: 10.1097/01.alc.0000145696.58084.08

Source DB:  PubMed          Journal:  Alcohol Clin Exp Res        ISSN: 0145-6008            Impact factor:   3.455


  31 in total

1.  [Addiction counselling in the surgical emergency room. Implementation of a brief intervention for alcohol-intoxicated patients].

Authors:  J Röhrig; M Nafz; P C Strohm; J Bengel; T Hodel; S Wahl; M Berner
Journal:  Unfallchirurg       Date:  2013-07       Impact factor: 1.000

2.  Gender differences in the factor structure of the Alcohol Use Disorders Identification Test in multinational general population surveys.

Authors:  Chun-Zi Peng; Richard W Wilsnack; Arlinda F Kristjanson; Perry Benson; Sharon C Wilsnack
Journal:  Drug Alcohol Depend       Date:  2012-01-10       Impact factor: 4.492

3.  Severity of acute illness is associated with baseline readiness to change in medical intensive care unit patients with unhealthy alcohol use.

Authors:  Brendan J Clark; Alexandra Smart; Robert House; Ivor Douglas; Ellen L Burnham; Marc Moss
Journal:  Alcohol Clin Exp Res       Date:  2011-09-26       Impact factor: 3.455

4.  [Introduction to the topic: Deficient pain therapy by addict patients].

Authors:  C Spies; T Neumann; C Hampel
Journal:  Anaesthesist       Date:  2006-06       Impact factor: 1.041

Review 5.  Secondary prevention in the intensive care unit: does intensive care unit admission represent a "teachable moment?".

Authors:  Brendan J Clark; Marc Moss
Journal:  Crit Care Med       Date:  2011-06       Impact factor: 7.598

6.  Within-prison drug injection among HIV-infected Ukrainian prisoners: prevalence and correlates of an extremely high-risk behaviour.

Authors:  Jacob M Izenberg; Chethan Bachireddy; Jeffrey A Wickersham; Michael Soule; Tetiana Kiriazova; Sergii Dvoriak; Frederick L Altice
Journal:  Int J Drug Policy       Date:  2014-02-28

7.  Analyzing psychological conditions of field-workers in the construction industry.

Authors:  Soram Lim; Seokho Chi; Joon Deuk Lee; Hoon-Jin Lee; Hyunjung Choi
Journal:  Int J Occup Environ Health       Date:  2018-07-10

8.  Disseminating alcohol screening and brief intervention at trauma centers: a policy-relevant cluster randomized effectiveness trial.

Authors:  Douglas Zatzick; Dennis M Donovan; Gregory Jurkovich; Larry Gentilello; Chris Dunn; Joan Russo; Jin Wang; Christopher D Zatzick; Jeff Love; Collin McFadden; Frederick P Rivara
Journal:  Addiction       Date:  2014-02-28       Impact factor: 6.526

9.  Alcohol screening scores and 90-day outcomes in patients with acute lung injury.

Authors:  Brendan J Clark; André Williams; Laura M Cecere Feemster; Katharine A Bradley; Madison Macht; Marc Moss; Ellen L Burnham
Journal:  Crit Care Med       Date:  2013-06       Impact factor: 7.598

10.  Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation.

Authors:  Majid Afshar; Andrew Phillips; Niranjan Karnik; Jeanne Mueller; Daniel To; Richard Gonzalez; Ron Price; Richard Cooper; Cara Joyce; Dmitriy Dligach
Journal:  J Am Med Inform Assoc       Date:  2019-03-01       Impact factor: 4.497

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