A brief online transdiagnostic measure: Psychometric properties of the Overall Anxiety Severity and Impairment Scale (OASIS) among Spanish patients with emotional disorders

Alberto González-Robles, Adriana Mira, Clara Miguel, Guadalupe Molinari, Amanda Díaz-García, Azucena García-Palacios, Juana M Bretón-López, Soledad Quero, Rosa M Baños, Cristina Botella, Alberto González-Robles, Adriana Mira, Clara Miguel, Guadalupe Molinari, Amanda Díaz-García, Azucena García-Palacios, Juana M Bretón-López, Soledad Quero, Rosa M Baños, Cristina Botella

Abstract

The Overall Anxiety Severity and Impairment Scale (OASIS) is a self-report questionnaire designed to evaluate the severity and functional impairment associated with anxiety. Given its transdiagnostic nature, it can be used indistinctly across anxiety and depressive disorders. In this study, the psychometric properties of the online version of the OASIS were evaluated in a Spanish clinical sample with emotional disorders. Patients (n = 583) with anxiety (n = 250) and depression (n = 333) with a mean age of 37.21 (SD = 12.22), underwent a diagnostic interview and questionnaires assessing anxiety, depression, positive and negative affect, and quality of life. Factorial structure, internal consistency, convergent and discriminant validity, cutoff scores, and sensitivity to change were analyzed. Confirmatory Factor Analysis yielded a unidimensional factor structure, consistent with previous validations of the instrument. The analyses showed good internal consistency and adequate convergent and discriminant validity, as well as sensitivity to change. A cutoff score of 7.5 was found to meet the criteria used in this study to select the optimal cutoff point. Overall, in this study, the psychometric properties of the online version of the OASIS were found to be appropriate. The brevity and ease of use of the OASIS support its adequacy as a valid measure of anxiety severity and impairment in Spanish clinical samples with anxiety and depression.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1. Confirmatory factor analysis (CFA) model.
Fig 1. Confirmatory factor analysis (CFA) model.
Rectangles are measured variables, the large circle is the latent construct, and small circles are residual variances. Factor loadings are standardized. All values are significant at p < .05. The solution specified correlated error variance between items 1 and 2.

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