Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-7988
Authors: Wejbera, Martin
Müller, Kai
Becker, Jan
Beutel, Manfred E.
Title: The Berlin inventory of gambling behavior – screening (BIG-S) : validation using a clinical sample
Online publication date: 13-Oct-2022
Year of first publication: 2017
Language: english
Abstract: Background: Published diagnostic questionnaires for gambling disorder in German are either based on DSM-III criteria or focus on aspects other than life time prevalence. This study was designed to assess the usability of the DSM-IV criteria based Berlin Inventory of Gambling Behavior Screening tool in a clinical sample and adapt it to DSM-5 criteria. Methods: In a sample of 432 patients presenting for behavioral addiction assessment at the University Medical Center Mainz, we checked the screening tool’s results against clinical diagnosis and compared a subsample of n=300 clinically diagnosed gambling disorder patients with a comparison group of n=132. Results: The BIG-S produced a sensitivity of 99.7% and a specificity of 96.2%. The instrument’s unidimensionality and the diagnostic improvements of DSM-5 criteria were verified by exploratory and confirmatory factor analysis as well as receiver operating characteristic analysis.3 Conclusions: The BIG-S is a reliable and valid screening tool for gambling disorder and demonstrated its concise and comprehensible operationalization of current DSM-5 criteria in a clinical setting. Keywords: Gambling disorder - Diagnostic tool - Screening - Validation - Usability - DSM V
DDC: 610 Medizin
610 Medical sciences
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 04 Medizin
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-7988
Version: Published version
Publication type: Zeitschriftenaufsatz
License: CC BY
Information on rights of use: https://creativecommons.org/licenses/by/4.0/
Journal: BMC psychiatry
17
Pages or article number: Art. 188
Publisher: BioMed Central
Publisher place: London
Issue date: 2017
ISSN: 1471-244X
Publisher URL: http://dx.doi.org/10.1186/s12888-017-1349-4
Publisher DOI: 10.1186/s12888-017-1349-4
Appears in collections:DFG-OA-Publizieren (2012 - 2017)

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