Identifying an accurate self-reported screening tool for alcohol use disorder: Evidence from a Swiss, male population-based assessment.

Baggio, Stéphanie; Trächsel, Bastien; Rousson, Valentin; Rothen, Stéphane; Studer, Joseph; Marmet, Simon; Heller, Patrick; Sporkert, Frank; Daeppen, Jean-Bernard; Gmel, Gerhard; Iglesias, Katia (2020). Identifying an accurate self-reported screening tool for alcohol use disorder: Evidence from a Swiss, male population-based assessment. Addiction, 115(3), pp. 426-436. Wiley-Blackwell 10.1111/add.14864

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BACKGROUND AND AIMS Short screenings for alcohol use disorder (AUD) are crucial for public health purposes, but current self-reported measures have several pitfalls and may be unreliable. The main aim of our study was to provide empirical evidence on the psychometric performance of self-reports currently used. Our research questions were: Compared with a gold standard clinical interview, how accurate are 1) self-reported AUD, 2) self-reported alcohol use over time, and 3) biomarkers of alcohol use among Swiss men? Finally, we aimed to identify an alternative screening tool. DESIGN A single-center study with a cross-sectional design and a stratified sample selection. SETTING Lausanne University Hospital (Switzerland) from October 2017 through June 2018. PARTICIPANTS We selected participants from the French-speaking participants of the ongoing Cohort Study on Substance Use and Risk Factors (n=233). The sample included young men aged on average 27.0 years. MEASUREMENTS We used the Diagnostic Interview for Genetic Studies as the gold standard for DSM-5 AUD. The self-reported measures included 11 criteria for AUD, nine alcohol-related consequences, and previous twelve months' alcohol use. We also assessed biomarkers of chronic excessive drinking (ethyl glucuronide and phosphatidylethanol). FINDINGS None of the self-reported measures/biomarkers taken alone displayed both sensitivity and specificity close to 100% with respect to the gold standard (e.g., self-reported AUD: sensitivity=92.3%, specificity=45.8%). The best model combined eight self-reported criteria of AUD and four alcohol-related consequences. Using a cut-off of three, this screening tool yielded acceptable sensitivity (83.3%) and specificity (78.7%). CONCLUSIONS Neither self-reported alcohol use disorder (AUD) nor heavy alcohol use appear to be adequate to screen for AUD among young men from the Swiss population. The best screening alternative for AUD among young Swiss men appears to be a combination of eight symptoms of AUD and four alcohol-related consequences.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Service Sector > Institute of Legal Medicine
04 Faculty of Medicine > Service Sector > Institute of Legal Medicine > Forensic Psychiatric Services

UniBE Contributor:

Baggio, Stéphanie

Subjects:

600 Technology > 610 Medicine & health

ISSN:

0965-2140

Publisher:

Wiley-Blackwell

Language:

English

Submitter:

Antoinette Angehrn

Date Deposited:

19 Dec 2019 09:27

Last Modified:

13 Feb 2020 01:32

Publisher DOI:

10.1111/add.14864

PubMed ID:

31656049

Uncontrolled Keywords:

alcohol community-based sample epidemiology machine learning psychometrics public health

BORIS DOI:

10.7892/boris.136145

URI:

https://boris.unibe.ch/id/eprint/136145

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