Development and validation of an Overall Anxiety Severity And Impairment Scale (OASIS)

Norman, Sonya B.; Cissell, Shadha Hami; Means-Christensen, Adrienne J.; Stein, Murray B.

doi:10.1002/da.20182

Cited by 581 publications

(510 citation statements)

References 13 publications

Supporting

Mentioning

486

Contrasting

Unclassified

Order By: Relevance

“…The variables selected for inclusion are then used as the sole input variables for another iteration of steps 1 and 2, generating the final model. self-report measures: the Overall Anxiety Severity and Impairment Scale (OASIS; Norman et al, 2006), an abbreviated version of the Penn State Worry Questionnaire (PSWQ-A; Hopko et al, 2003), the Anxiety Sensitivity Index (ASI; Reiss et al, 1986), the Intolerance of Uncertainty Scale (IUS; Buhr and Dugas, 2002), the Quick Inventory of Depressive Symptomology (QIDS; Rush et al, 2003), and the NEO Personality Inventory (Costa and McCrae, 1992). Finally, all participants completed an fMRI scan before 10 sessions of open-label weekly individual CBT (Craske et al, 2009) with a clinical psychologist or Masters-level therapist supervised by a clinical psychologist with CBT expertise.…”

Section: Methodsmentioning

confidence: 99%

Single-Subject Anxiety Treatment Outcome Prediction using Functional Neuroimaging

Ball

Stein

Ramsawh

et al. 2013

Neuropsychopharmacol

106

View full text Add to dashboard Cite

The possibility of individualized treatment prediction has profound implications for the development of personalized interventions for patients with anxiety disorders. Here we utilize random forest classification and pre-treatment functional magnetic resonance imaging (fMRI) data from individuals with generalized anxiety disorder (GAD) and panic disorder (PD) to generate individual subject treatment outcome predictions. Before cognitive behavioral therapy (CBT), 48 adults (25 GAD and 23 PD) reduced (via cognitive reappraisal) or maintained their emotional responses to negative images during fMRI scanning. CBT responder status was predicted using activations from 70 anatomically defined regions. The final random forest model included 10 predictors contributing most to classification accuracy. A similar analysis was conducted using the clinical and demographic variables. Activations in the hippocampus during maintenance and anterior insula, superior temporal, supramarginal, and superior frontal gyri during reappraisal were among the best predictors, with greater activation in responders than non-responders. The final fMRI-based model yielded 79% accuracy, with good sensitivity (0.86), specificity (0.68), and positive and negative likelihood ratios (2.73, 0.20). Clinical and demographic variables yielded poorer accuracy (69%), sensitivity (0.79), specificity (0.53), and likelihood ratios (1.67, 0.39). This is the first use of random forest models to predict treatment outcome from pre-treatment neuroimaging data in psychiatry. Together, random forest models and fMRI can provide single-subject predictions with good test characteristics. Moreover, activation patterns are consistent with the notion that greater activation in cortico-limbic circuitry predicts better CBT response in GAD and PD.

show abstract

Section: Methodsmentioning

confidence: 99%

Single-Subject Anxiety Treatment Outcome Prediction using Functional Neuroimaging

Ball

Stein

Ramsawh

et al. 2013

Neuropsychopharmacol

106

View full text Add to dashboard Cite

show abstract

“…Overall anxiety severity-The Overall Anxiety and Impairment Scale (OASIS) is a five-item measure of the severity of anxiety symptoms [21]. Responses are rated from 0 to 4, with higher values reflecting more frequent or extreme anxiety symptoms.…”

Section: Methodsmentioning

confidence: 99%

Patient factors associated with initiation of behavioral weight loss treatment: a prospective observational study in an integrated care setting

McVay

Yancy

Scott

et al. 2016

Behav. Med. Pract. Policy Res.

View full text Add to dashboard Cite

Low enrollment in behavioral weight loss treatments limits their impact. We aimed to identify factors associated with treatment initiation. The participants were outpatients (n = 198) at Veterans Affairs (VA) healthcare facilities who were referred to a free VA-based behavioral weight loss treatment. Participants were assessed on psychosocial factors potentially relevant to treatment initiation. Subsequent treatment initiation was determined via medical record review. Study participants were 77 % male, 60 % African American, and 54 % initiated treatment. In multivariable analyses, treatment initiation was associated with being single, higher anxiety, and patients' perceptions that referring provider supported their weight autonomy. Endorsement of treatment barriers was not associated with treatment initiation. Treatments offering in-person sessions and mood management components were rated as more preferred. Initiation of behavioral weight loss treatments may increase if patients believe that providers respect their weight control autonomy and if healthcare organizations offer treatments that match patients' preferences.

show abstract

“…31 The OASIS has demonstrated good internal consistency and convergent validity with other measures of anxiety. 30,32 Internal consistency in the current sample was good (a = 0.93).…”

Section: Methodsmentioning

confidence: 74%

“…The Overall Anxiety Severity and Impairment Scale (OASIS) 30 is a five-item measure assessing the severity and interference of anxiety symptoms during the past week, with good internal consistency between 0.79 and 0.80 based on an initial validation study. Total scores range from 0 to 20, with higher scores reflecting greater severity and impairment of anxiety symptoms.…”

Section: Methodsmentioning

confidence: 99%

Health Differences Among Lesbian, Gay, and Transgender Veterans by Rural/Small Town and Suburban/Urban Setting

et al. 2017

View full text Add to dashboard Cite

Purpose: We explored the relationship between geographic location and health indicators for lesbian, gay, and transgender veterans. Methods: We solicited participation in an online survey through national and city LGBT organizations and personal contacts to examine differences in depression, anxiety, alcohol and tobacco use, and body mass index among lesbian, gay, and transgender veterans (n = 252) in suburban/urban and rural/small town locations. Bisexual participants were too few to include in the analyses. Results: As expected, rural/small town lesbian, gay, and transgender veterans spent more time traveling to their primary care provider. Travel time was also positively related to depressive and anxiety symptoms. However, only suburban/urban and rural/small town gay men differed in measures of depression and anxiety and tobacco use. That is, rural/small town gay men reported greater depressive and anxiety symptoms and greater tobacco use than their suburban/urban counterparts. Consistent with this finding, rural/small town gay men reported less community-related identity than suburban/urban men. Suburban/urban lesbian women showed a nonsignificant trend for community identity compared with rural/small town women. Conclusion: Similar to civilian studies, suburban/urban and rural/small town lesbian, gay, and transgender veterans evidenced few health differences, with the exception of suburban/urban gay men. Although rural/small town gay male veterans evidenced more depression and anxiety and less community identity than suburban/urban men, social networks likely differ for lesbian, gay, and transgender subgroups. Lesbian, gay, and transgender veterans may also differ from their civilian counterparts in ways that we do not yet understand.

show abstract

Development and validation of an Overall Anxiety Severity And Impairment Scale (OASIS)

Cited by 581 publications

References 13 publications

Single-Subject Anxiety Treatment Outcome Prediction using Functional Neuroimaging

Single-Subject Anxiety Treatment Outcome Prediction using Functional Neuroimaging

Patient factors associated with initiation of behavioral weight loss treatment: a prospective observational study in an integrated care setting

Health Differences Among Lesbian, Gay, and Transgender Veterans by Rural/Small Town and Suburban/Urban Setting

Contact Info

Product

Resources

About