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Related Experiment Videos

The DISC Predictive Scales (DPS): efficiently screening for diagnoses.

C P Lucas1, H Zhang, P W Fisher

  • 1Columbia University College of Physicians and Surgeons/New York State Psychiatric Institute, New York, USA. lucasc@child.cpmc.columbia.edu

Journal of the American Academy of Child and Adolescent Psychiatry
|April 21, 2001
PubMed
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The DISC Predictive Scales (DPS) accurately identify individuals who may not require extensive diagnostic evaluation, streamlining the screening process for mental health disorders. This tool efficiently screens for specific DSM-III-R disorders.

Area of Science:

  • Psychiatry
  • Psychological Assessment
  • Epidemiology

Background:

  • Accurate and efficient diagnostic screening is crucial in mental health.
  • Current diagnostic processes can be lengthy and resource-intensive.

Purpose of the Study:

  • To develop and validate brief, diagnosis-specific scales for identifying individuals at high probability of meeting diagnostic criteria.
  • To determine if certain individuals can be spared more extensive diagnostic inquiry.

Main Methods:

  • Secondary analysis of large epidemiological datasets (n=1,286 and n=884) to derive gate and contingent items.
  • Prospective validation of the DISC Predictive Scales (DPS) using self-report questionnaires followed by structured diagnostic interviews (Diagnostic Interview Schedule for Children, Schedule for Affective Disorders and Schizophrenia for School-Age Children).

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Main Results:

  • Gate item selection proved valid, with missed cases attributed to inconsistent reporting.
  • The full DPS demonstrated good screening performance.
  • Significant reductions in scale length did not compromise discriminatory power.

Conclusions:

  • The DPS accurately identifies individuals who can be spared further diagnostic assessment.
  • Implementation of the DPS has the potential to considerably expedite structured diagnostic interviewing.
  • The DPS effectively screens for specific DSM-III-R disorders.