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Association Between Sleep Quality and Cognitive Symptoms in Patients with Major Depressive Disorder

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A brief Web-based screening questionnaire for common mental disorders: development and validation.

Tara Donker¹, Annemieke van Straten, Isaac Marks

¹Department of Clinical Psychology,VU University Amsterdam, Van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands. t.donker@psy.vu.nl

Journal of Medical Internet Research

|July 28, 2009

Summary

This summary is machine-generated.

The Web Screening Questionnaire (WSQ) effectively screens for common mental disorders online. While good at identifying those without disorders, it produces many false positives.

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Published on: April 23, 2014

Area of Science:

Mental Health
Digital Psychiatry
Psychometric Validation

Background:

Internet-based self-help systems require efficient user triage for common mental disorders.
Brief online screening questionnaires offer a rapid solution for user assessment.
These tools can also pre-screen patients before general practitioner consultations.

Purpose of the Study:

To evaluate and improve the Web Screening Questionnaire (WSQ) for detecting specific mental health conditions.
The WSQ aims to screen for depressive disorder, alcohol abuse/dependence, generalized anxiety disorder (GAD), post-traumatic stress disorder (PTSD), social phobia, panic disorder, agoraphobia, specific phobia, and obsessive-compulsive disorder (OCD).

Main Methods:

502 adult participants (aged 18-80) completed the WSQ and nine other online questionnaires.
A subset of 157 participants underwent a diagnostic assessment via phone using the WHO Composite International Diagnostic Interview (CIDI).

Main Results:

Significantly higher mean scores on validating questionnaires were observed for positive WSQ "diagnoses" (P < .001).
Optimized WSQ demonstrated sensitivity ranging from 0.72 to 1.00 and specificity from 0.44 to 0.77.
The Area Under the Curve (AUC) for WSQ items was comparable to longer assessment tools.

Conclusions:

The WSQ is validated for screening common mental health conditions.
The questionnaire effectively identifies individuals without mental health issues but has a notable rate of false positives.