Background: The Structured Clinical Interview for DSM (SCID) is considered the gold standard assessment for accurate, reliable psychiatric diagnoses; however, because of its length, complexity, and training required, the SCID is rarely used outside of research.
Objective: This paper aims to describe the development and initial validation of a Web-based, self-report screening instrument (the Screening Assessment for Guiding Evaluation-Self-Report, SAGE-SR) based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) and the SCID-5-Clinician Version (CV) intended to make accurate, broad-based behavioral health diagnostic screening more accessible within clinical care.
Methods: First, study staff drafted approximately 1200 self-report items representing individual granular symptoms in the diagnostic criteria for the 8 primary SCID-CV modules.
Background: The computerized administration of self-report psychiatric diagnostic and outcomes assessments has risen in popularity. If results are similar enough across different administration modalities, then new administration technologies can be used interchangeably and the choice of technology can be based on other factors, such as convenience in the study design. An assessment based on item response theory (IRT), such as the Patient-Reported Outcomes Measurement Information System (PROMIS) depression item bank, offers new possibilities for assessing the effect of technology choice upon results.
View Article and Find Full Text PDFThe objective of this study is to develop a simple, brief, self-report perinatal depression inventory that accurately measures severity in a number of populations. Our team developed 159 Likert-scale perinatal depression items using simple sentences with a fifth-grade reading level. Based on iterative cognitive interviewing (CI), an expert panel improved and winnowed the item pool based on pre-determined criteria.
View Article and Find Full Text PDFThe Teen Addiction Severity Index-Two (T-ASI-2) was developed as an extension of the T-ASI to assess the severity of substance abuse and related problems among adolescents (N = 371) 12-19 years of age. The T-ASI-2 consists of 18 domains that assess current use of alcohol, tobacco, marijuana, and other drugs, as well as mental health service utilization, treatment satisfaction, school difficulties, social functioning with family members and peers, substance use by family members and peers, depression, anxiety, attention deficit, hyperactivity, defiant and risky behaviors, and readiness for change. Results show that all domains have adequate to excellent internal consistency (.
View Article and Find Full Text PDFInteractive Voice Response (IVR), an automated system that administers surveys over the phone, is a potentially important technology for mental health services research. Although a number of studies have compared IVR to live interviews, few have looked at IVR in comparison to pencil-and-paper survey administration. Further, few studies have included subjects from those populations most likely to benefit from IVR technology, namely patients with lower education levels and non-English-speaking patients.
View Article and Find Full Text PDFThis study converted the Teen-Addiction Severity Index (T-ASI) into self-report formats using Internet (Net) and interactive voice response (IVR) automated-telephone technologies. Reliability and convergent validity were assessed among 95 inpatient adolescent participants. Current functioning scores obtained by clinician interview correlated well with self-report Net (mean r=.
View Article and Find Full Text PDFThis study assesses the convergent validity of Internet (Net) and interactive voice response (IVR) automated telephone self-report versions of the Addiction Severity Index (ASI) relative to the established, clinician-administered (CA) ASI. Eighty-eight subjects were recruited from an addiction treatment program to complete three ASI assessments. The mean correlation between composite scores obtained by Net and IVR and those obtained via clinician interview was.
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