Consistency checks to improve measurement with the Montgomery-Asberg Depression Rating Scale (MADRS)

Autor: Felice Ockun, Christian Yavorsky, Joyce Tsai, Atul R. Mahableshwarkar, Gretchen Friedberger, Janet B. W. Williams, Colin L. Sauder, Brianne Brown, Jonathan Rabinowitz, Bruce J Kinon, Mads Dalsgaard, Nina R. Schooler, Isctm Algorithms, Daniel Lee, Nina Engelhardt
Rok vydání: 2018
Předmět:
Zdroj: Journal of affective disorders. 256
ISSN: 1573-2517
Popis: International Society for CNS Clinical Trials and Methodology convened an expert Working Group that assembled consistency/inconsistency flags for the Montgomery-Asberg Depression Rating Scale (MADRS). Twenty-two flags were identified. Seven flags are believed to be strong flags that suggest that a thorough review of rating is warranted. The flags were applied to assessments derived from the NEWMEDS data repository. Almost 65% of ratings had at least one inconsistency flag raised and 22% had two or more. Application of flags to clinical ratings may improve reliability of ratings and validity of trials.
Databáze: OpenAIRE