Literature DB >> 25956758

The panic disorder screener (PADIS): Development of an accurate and brief population screening tool.

Philip J Batterham1, Andrew J Mackinnon2, Helen Christensen3.   

Abstract

The Panic Disorder Screener (PADIS) was developed as a new screener to identify panic disorder in the community and to assess severity of symptoms. The PADIS was developed to fill a gap in existing screening measures, as there are no brief panic screeners available that assess severity. The current study aimed to test the performance of the screener relative to the Patient Health Questionnaire-panic scale (PHQ-panic). The 4-item PADIS was administered to 12,336 young Australian adults, together with the PHQ-panic. A subsample of 1674 participants also completed a phone-based clinical interview to determine whether they met DSM-IV criteria for panic disorder. The PADIS (77% sensitivity, 84% specificity) had higher sensitivity for identifying panic disorder based on clinical criteria than the PHQ-panic (57% sensitivity, 91% specificity), although with reduced specificity. Administration of the PADIS required a mean of 1.9 items, compared to 4.7 items for the PHQ-panic. Each one-point increase in PADIS score was associated with 69% increased odds of meeting clinical criteria for panic disorder. The PADIS was found to be a valid, reliable and brief panic screener that is freely available for use in research and clinical settings.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Anxiety; Measurement; Panic disorder; Panic symptoms; Sensitivity; Specificity

Mesh:

Year:  2015        PMID: 25956758     DOI: 10.1016/j.psychres.2015.04.016

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  5 in total

1.  Efficacy of a transdiagnostic, video-based online program for reducing depression, anxiety, and suicidal ideation in adults: Protocol for a randomised controlled trial.

Authors:  Philip J Batterham; Alison L Calear; Amelia Gulliver; Louise M Farrer
Journal:  Contemp Clin Trials Commun       Date:  2019-03-07

2.  The Effect of COVID-19 on Mental Health and Wellbeing in a Representative Sample of Australian Adults.

Authors:  Amy Dawel; Yiyun Shou; Michael Smithson; Nicolas Cherbuin; Michelle Banfield; Alison L Calear; Louise M Farrer; Darren Gray; Amelia Gulliver; Tambri Housen; Sonia M McCallum; Alyssa R Morse; Kristen Murray; Eryn Newman; Rachael M Rodney Harris; Philip J Batterham
Journal:  Front Psychiatry       Date:  2020-10-06       Impact factor: 4.157

Review 3.  Brief Mental Health Disorder Screening Questionnaires and Use with Public Safety Personnel: A Review.

Authors:  Robyn E Shields; Stephanie Korol; R Nicholas Carleton; Megan McElheran; Andrea M Stelnicki; Dianne Groll; Gregory S Anderson
Journal:  Int J Environ Res Public Health       Date:  2021-04-03       Impact factor: 3.390

4.  Development of the RMT20, a composite screener to identify common mental disorders.

Authors:  Philip J Batterham; Matthew Sunderland; Natacha Carragher; Alison L Calear
Journal:  BJPsych Open       Date:  2020-05-18

5.  FitMindKit: Randomised controlled trial of an automatically tailored online program for mood, anxiety, substance use and suicidality.

Authors:  Philip J Batterham; Alison L Calear; Louise Farrer; Sonia M McCallum; Vanessa Wan Sze Cheng
Journal:  Internet Interv       Date:  2017-08-23
  5 in total

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