Literature DB >> 10188711

On diagnosing rare disorders rarely: appropriate use of screening instruments.

A Clark1, R Harrington.   

Abstract

The main aim of this study was to determine whether child mental health professionals who regularly use questionnaires to screen for mental disorders know that these questionnaires have a low predictive value when the base rate of a disorder is low. The study was based on a representative sample of professionals who used questionnaires regularly to screen for mental disorders. They were set a problem in which a clinic sample was screened with a questionnaire that, at a certain cut-point, had 80 % sensitivity and 80 % specificity, and in which the true base rate of disorder was 10%. Only 10% (5/48) of respondents answered correctly that just 30 % of individuals who scored above this cut-point would actually have the disorder and more than half of respondents believed that 80 % would have the disorder. Both users and designers of questionnaires need to be more aware of and explicit about their drawbacks as screens for mental disorders.

Entities:  

Mesh:

Year:  1999        PMID: 10188711

Source DB:  PubMed          Journal:  J Child Psychol Psychiatry        ISSN: 0021-9630            Impact factor:   8.982


  10 in total

1.  Screening for autistic spectrum disorder in children aged 14-15 months. II: population screening with the Early Screening of Autistic Traits Questionnaire (ESAT). Design and general findings.

Authors:  Claudine Dietz; Sophie Swinkels; Emma van Daalen; Herman van Engeland; Jan K Buitelaar
Journal:  J Autism Dev Disord       Date:  2006-08

2.  Validation of the Infant-Toddler Checklist as a broadband screener for autism spectrum disorders from 9 to 24 months of age.

Authors:  Amy M Wetherby; Susan Brosnan-Maddox; Vickie Peace; Laura Newton
Journal:  Autism       Date:  2008-09

3.  The first year inventory: retrospective parent responses to a questionnaire designed to identify one-year-olds at risk for autism.

Authors:  Linda R Watson; Grace T Baranek; Elizabeth R Crais; J Steven Reznick; Jessica Dykstra; Twyla Perryman
Journal:  J Autism Dev Disord       Date:  2007-01-12

4.  Measurement Issues: Screening and diagnostic instruments for autism spectrum disorders - lessons from research and practise.

Authors:  Tony Charman; Katherine Gotham
Journal:  Child Adolesc Ment Health       Date:  2012-04-04       Impact factor: 2.175

5.  Early Diagnosis of Autism Spectrum Disorders.

Authors:  Jennifer Pinto-Martin; Susan E. Levy
Journal:  Curr Treat Options Neurol       Date:  2004-09       Impact factor: 3.598

6.  Validation of the autism spectrum screening questionnaire in a total population sample.

Authors:  Maj-Britt Posserud; Astri J Lundervold; Christopher Gillberg
Journal:  J Autism Dev Disord       Date:  2008-07-01

7.  The CBCL and the identification of children with autism and related conditions in Brazil: pilot findings.

Authors:  Cristiane S Duarte; Isabel A S Bordin; Albeni de Oliveira; Hector Bird
Journal:  J Autism Dev Disord       Date:  2003-12

8.  A video-based measure to identify autism risk in infancy.

Authors:  Gregory S Young; John N Constantino; Simon Dvorak; Ashleigh Belding; Devon Gangi; Alesha Hill; Monique Hill; Meghan Miller; Chandni Parikh; A J Schwichtenberg; Erika Solis; Sally Ozonoff
Journal:  J Child Psychol Psychiatry       Date:  2019-08-01       Impact factor: 8.982

Review 9.  Current topic: Screening and surveillance for autism and pervasive developmental disorders.

Authors:  G Baird; T Charman; A Cox; S Baron-Cohen; J Swettenham; S Wheelwright; A Drew
Journal:  Arch Dis Child       Date:  2001-06       Impact factor: 3.791

10.  Infant and dyadic assessment in early community-based screening for autism spectrum disorder with the PREAUT grid.

Authors:  Bertrand Olliac; Graciela Crespin; Marie-Christine Laznik; Oussama Cherif Idrissi El Ganouni; Jean-Louis Sarradet; Colette Bauby; Anne-Marie Dandres; Emeline Ruiz; Claude Bursztejn; Jean Xavier; Bruno Falissard; Nicolas Bodeau; David Cohen; Catherine Saint-Georges
Journal:  PLoS One       Date:  2017-12-07       Impact factor: 3.240

  10 in total

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