Psychometric evaluation of the Overall Anxiety Severity and Impairment Scale (OASIS) in individuals seeking outpatient specialty treatment for anxiety-related disorders

Sally A. Moore, Stacy S. Welch, Jared Michonski, Jonathan Poquiz, Travis L. Osborne, Jennifer Sayrs, Alexia Spanos

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Background Comorbidity among anxiety-related diagnoses is common, highlighting the need for brief, meaningful measures of anxiety that cut across diagnoses. Methods The current study examined the psychometric properties of one such measure, the Overall Anxiety Severity and Impairment Scale (OASIS) (Norman et al.; 2006), in a naturalistic sample of individuals seeking treatment at an outpatient anxiety treatment center. We examined the measure's structure, convergent validity, and potential effects of respondent gender. Using ROC analysis, we estimated an optimal cut-score for determining presence of an anxiety disorder in this sample. Finally, we examined the responsiveness of the OASIS to clinical change and calculated a reliable change index. Results We found strong psychometric properties of the OASIS. A unitary factor structure with correlated residuals on the first two items provided the best fit to the data. A cut-score of eight best distinguished the presence of an anxiety-related diagnosis. In measurement invariance analyses, we found evidence that men and women respond similarly to the measure. In addition, we found that change in the OASIS was correlated with change in other measures, and we estimated that a four-point change in the OASIS can be considered clinically reliable. Limitations Sample characteristics may limit generalizability. Diagnoses were established by clinicians using a semi-structured interview that, while based upon DSM-IV diagnostic criteria, has not been psychometrically evaluated. Conclusion The results provide support for the use of the OASIS in specialty treatment for anxiety-related diagnoses and further highlight the strengths of this measure in clinical practice and research settings.

Original languageEnglish (US)
Pages (from-to)463-470
Number of pages8
JournalJournal of Affective Disorders
Volume175
DOIs
StatePublished - Apr 1 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2015 Elsevier B.V.

Keywords

  • Anxiety
  • Assessment
  • Factor analysis
  • Practice-based research
  • Psychometrics

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