The interactive computer interview for mania
Autor: | Gary S. Sachs, Andrew C. Leon, Roy H. Perlis, Louisa G. Sylvia, Daniel DeBonis, Daniel Lewis, Noreen A. Reilly-Harrington |
---|---|
Rok vydání: | 2010 |
Předmět: |
medicine.medical_specialty
Intraclass correlation Poison control medicine.disease Young Mania Rating Scale Psychiatry and Mental health Patient satisfaction Rating scale medicine Bipolar disorder medicine.symptom Psychology Psychiatry Mania Biological Psychiatry Reliability (statistics) Clinical psychology |
Zdroj: | Bipolar Disorders. 12:521-527 |
ISSN: | 1398-5647 |
DOI: | 10.1111/j.1399-5618.2010.00844.x |
Popis: | Reilly-Harrington NA, DeBonis D, Leon AC, Sylvia L, Perlis R, Lewis D, Sachs GS. The interactive computer interview for mania. Bipolar Disord 2010: 12: 521-527. (c) 2010 The Authors. Journal compilation (c) 2010 John Wiley & Sons A/S. Objectives: The Interactive Computer Interview for Mania (ICI-M) is a computer-administered interview that presents probes to assess symptom severity and utilizes a scoring algorithm to select follow-up questions and rate subject responses in accordance with rating scale anchor points. The current study examines the acceptability, feasibility, and reliability of the ICI-M as a potential method for evaluating the performance of human raters. Methods: Participants with a diagnosis of bipolar I or II disorder completed both a live interview of the Young Mania Rating Scale with a human rater (LR) and the ICI-M. A panel of three expert raters reviewed each videotaped LR and assigned a consensus rating (CR). Participants completed a modified version of the Client Satisfaction Questionnaire to assess each method. Results: Intraclass correlation coefficients were 0.91 between the ICI-M and CR and 0.97 between the LR and CR (n = 100), providing empirical support for the inter-rater reliability of each approach. Coefficient alphas indicated comparable internal consistency reliability: ICI-M = 0.82, LR = 0.83, and CR = 0.84. The ICI-M was significantly more sensitive in detecting symptomatology than the LR (p Language: en |
Databáze: | OpenAIRE |
Externí odkaz: | |
Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |