Prodromal Assessment with the Structured Interview for Prodromal Syndromes and the Scale of Prodromal Symptoms: Predictive Validity, Interrater Reliability, and Training to Reliability

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  • Miller, Tandy J.
    • Other Affiliation: Yale University, New Haven, CT
  • McGlashan, Thomas H.
    • Other Affiliation: Yale University, New Haven, CT
  • Rosen, Joanna L.
    • Other Affiliation: Yale University, New Haven, CT
  • Cadenhead, Kristen
    • Other Affiliation: University of California, San Diego, San Diego, CA
  • Ventura, Joseph
    • Other Affiliation: University of California, Los Angeles, Los Angeles, CA
  • McFarlane, William
    • Other Affiliation: Maine Medical Center Research Institute, Portland, ME
  • Perkins, Diana
    • Affiliation: School of Medicine, Department of Psychiatry
  • Pearlson, Godfrey D.
    • Other Affiliation: Yale University, New Haven, CT
  • Woods, Scott W.
    • Other Affiliation: Yale University, New Haven, CT
Abstract
  • As the number of studies related to the early identification of and intervention in the schizophrenia prodrome continues to grow, it becomes increasingly critical to develop methods to diagnose this new clinical entity with validity. Furthermore, given the low incidence of patients and the need for multisite collaboration, diagnostic and symptom severity reliability is also crucial. This article provides further data on these psychometric parameters for the prodromal assessment instruments developed by the Prevention through Risk Identification, Management, and Education (PRIME) prodromal research team at Yale University: the Structured Interview for Prodromal Syndromes and the Scale of Prodromal Symptoms. It also presents data suggesting that excellent interrater reliability can be established for diagnosis in a day-and-a-half-long training workshop.
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DOI
Identifier
  • doi:10.1093/oxfordjournals.schbul.a007040
  • 2-s2.0-0842321883
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Resource type
  • Conference Proceeding
Rights statement
  • In Copyright
Journal title
  • Schizophrenia Bulletin
Journal volume
  • 29
Journal issue
  • 4
Page start
  • 703
Page end
  • 715
Version
  • Postprint
ISSN
  • 0586-7614
Language
  • English

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