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Originalia

Entwicklung, Validierung und Normierung des Rasch-basierten Depressionsscreenings

Eine Übersicht

Published Online:March 27, 2012https://doi.org/10.1026/1616-3443/a000116

Abstract

Zusammenfassung.Theoretischer Hintergrund: Vor dem Hintergrund hoher Prävalenzraten für depressive Störungen bei somatisch Erkrankten sowie artifizieller Effekte bei wiederholten Messungen wurde das Rasch-basierte Depressionsscreening (DESC) entwickelt. Fragestellung: Der Entwicklungs-, Validierungs- und Normierungsprozess des Verfahrens wird zusammengefasst und die Nützlichkeit für die klinische Praxis diskutiert. Methoden: Ausgehend von der Aachener Depressionsitembank (Forkmann et al., 2009) wurde das DESC anhand von N = 333 psychisch/somatisch erkrankten Patienten (Alter M = 43,6 Jahre; 46,2% Frauen) mittels Strukturmodellierung und Rasch-Analyse entwickelt, an verschiedenen klinischen Stichproben überprüft und bevölkerungsrepräsentativ normiert (N = 2 .509). Ergebnisse: Eindimensionalität und Rasch-Modellkonformität der Parallelformen wurden bestätigt und Cut-Off-Werte mit guter Sensitivität und Spezifität bestimmt. Die Paralleltestreliabilität war in allen Stichproben >0.9. Schlussfolgerungen: Mit dem DESC steht ein neues Verfahren mit guten psychometrischen Eigenschaften zur Verfügung, das das Instrumentarium zur Depressionsdiagnostik sinnvoll ergänzt.


Development validation and norm values of the Rasch-based Depression Screening. An overview

Abstract.Background: In the light of high prevalence for depressive disorders in patients with somatic disorders and artificial retest-effects the Rasch-based Depressionscreening (DESC) was developed. Objective: To report the DESC’s development, validation and determination of norm values and to discuss its implications for clinical practice. Methods: Based on the Aachen Depression Item Bank the DESC was developed using data from N = 333 patients with mental/somatic disorders (age M = 43.6; 46.2% women) applying structural equation modelling and Rasch analysis. It was further evaluated using clinical samples. Results: Results confirmed unidimensionality and adherence to the Rasch model. Sensitivity and specificity was good. Parallel test reliability was >0.9 in all samples. Conclusions: The DESC is a new self-report instrument with good psychometric characteristics that amends the available tools for depression diagnostics.

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