Are there subgroup differences in the accuracy of 'screening' questions for mood and anxiety disorder diagnostic interviews?

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Title: Are there subgroup differences in the accuracy of 'screening' questions for mood and anxiety disorder diagnostic interviews?
Authors: Sunderland, Matthew (AUTHOR), Slade, Tim (AUTHOR)
Source: International Journal of Methods in Psychiatric Research. Dec2024, Vol. 33 Issue 4, p1-10. 10p.
Subjects: Mental illness, Mental health surveys, Confirmatory factor analysis, Medical screening, Anxiety disorders
Abstract: Objective: To examine the impact of potential measurement bias (i.e., differential item functioning [DIF]) across sex, age, employment, location, and substance use disorders on the screening properties of epidemiological surveys that utilise screening questions when estimating prevalence of mood and anxiety disorders. Methods: Data comprised of 15,893 respondents who completed the 2020–2022 Australian National Survey of Mental Health and Wellbeing. Questions from the screening module of the Composite International Diagnostic Interview 3.0 were analysed using confirmatory factor analysis and DIF across subgroups of interest. Sensitivity, specificity, and classification rate were derived and compared across models that did and did not adjust for significant levels of DIF. Results: Sources of DIF were identified across the items was due to age and sex at birth with relatively fewer items displaying DIF across employment, location, and substance use disorders. In terms of screening, the absolute differences in sensitivity and specificity between the DIF‐free and DIF models ranged from 0.001 to 0.091. Conclusions: The current study found some evidence of DIF in the screening questions used to evaluate mental health disorder prevalence. However, the overall influence of DIF on screening into at least one mood and anxiety disorder module was found to be minimal. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Methods in Psychiatric Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Are there subgroup differences in the accuracy of 'screening' questions for mood and anxiety disorder diagnostic interviews?
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  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Sunderland%2C+Matthew%22">Sunderland, Matthew</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Slade%2C+Tim%22">Slade, Tim</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Methods+in+Psychiatric+Research%22">International Journal of Methods in Psychiatric Research</searchLink>. Dec2024, Vol. 33 Issue 4, p1-10. 10p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Mental+illness%22">Mental illness</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+health+surveys%22">Mental health surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Confirmatory+factor+analysis%22">Confirmatory factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+screening%22">Medical screening</searchLink><br /><searchLink fieldCode="DE" term="%22Anxiety+disorders%22">Anxiety disorders</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective: To examine the impact of potential measurement bias (i.e., differential item functioning [DIF]) across sex, age, employment, location, and substance use disorders on the screening properties of epidemiological surveys that utilise screening questions when estimating prevalence of mood and anxiety disorders. Methods: Data comprised of 15,893 respondents who completed the 2020–2022 Australian National Survey of Mental Health and Wellbeing. Questions from the screening module of the Composite International Diagnostic Interview 3.0 were analysed using confirmatory factor analysis and DIF across subgroups of interest. Sensitivity, specificity, and classification rate were derived and compared across models that did and did not adjust for significant levels of DIF. Results: Sources of DIF were identified across the items was due to age and sex at birth with relatively fewer items displaying DIF across employment, location, and substance use disorders. In terms of screening, the absolute differences in sensitivity and specificity between the DIF‐free and DIF models ranged from 0.001 to 0.091. Conclusions: The current study found some evidence of DIF in the screening questions used to evaluate mental health disorder prevalence. However, the overall influence of DIF on screening into at least one mood and anxiety disorder module was found to be minimal. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Methods in Psychiatric Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/mpr.70008
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      – Code: eng
        Text: English
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        PageCount: 10
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      – SubjectFull: Mental illness
        Type: general
      – SubjectFull: Mental health surveys
        Type: general
      – SubjectFull: Confirmatory factor analysis
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      – SubjectFull: Medical screening
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      – SubjectFull: Anxiety disorders
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              Text: Dec2024
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              Y: 2024
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