Detecting reliable cognitive change in individual patients with the MATRICS Consensus Cognitive Battery

Journal Article

© 2014 Elsevier B.V.Objective: Clinicians often need to evaluate the treatment response of an individual person and to know that observed change is true improvement or worsening beyond usual week-to-week changes. This paper gives clinicians tools to evaluate individual changes on the MATRICS Consensus Cognitive Battery (MCCB). We compare three different approaches: a descriptive analysis of MCCB test-retest performance with no intervention, a reliable change index (RCI) approach controlling for average practice effects, and a regression approach. Method: Data were gathered as part of the MATRICS PASS study (Nuechterlein et al., 2008). A total of 159 people with schizophrenia completed the MCCB at baseline and 4. weeks later. Data were analyzed using an RCI and a regression formula establishing confidence intervals. Results: The RCI and regression approaches agree within one point when baseline values are close to the sample mean. However, the regression approach offers more accurate limits for expected change at the tails of the distribution of baseline scores. Conclusions: Although both approaches have their merits, the regression approach provides the most accurate measure of significant change across the full range of scores. As the RCI does not account for regression to the mean and has confidence limits that remain constant across baseline scores, the RCI approach effectively gives narrower confidence limits around an inaccurately predicted average change value. Further, despite the high test-retest reliability of the MCCB, a change in an individual's score must be relatively large to be confident that it is beyond normal month-to-month variation.

Full Text

Duke Authors

Cited Authors

  • Gray, BE; McMahon, RP; Green, MF; Seidman, LJ; Mesholam-Gately, RI; Kern, RS; Nuechterlein, KH; Keefe, RS; Gold, JM

Published Date

  • 2014

Published In

Volume / Issue

  • 159 / 1

Start / End Page

  • 182 - 187

International Standard Serial Number (ISSN)

  • 0920-9964

Digital Object Identifier (DOI)

  • 10.1016/j.schres.2014.07.032