Related Experiment Video
Updated: Jun 6, 2026
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Screening cognitive performance with the Resident Assessment Instrument for Mental Health Cognitive Performance Scale
Kendra Jones1, Christopher M Perlman, John P Hirdes
1University of British Columbia, Vancouver, British Columbia.
Objective:
The validity of the Cognitive Performance Scale (CPS) embedded in the Resident Assessment Instrument-Mental Health (RAI-MH) was evaluated among adult psychiatric inpatients.
Methods:
The CPS is a brief measure of cognitive performance, with scores ranging from 0 (intact) to 6 (very severe impairment). The CPS scores were compared with the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) scores for 215 adult psychiatric inpatients.
Results:
The CPS scores were significantly correlated with MMSE scores (r = -0.69, P < 0.001) and MoCA scores (r = -0.69, P < 0.001). Higher scores on the CPS were associated with greater functional impairment, older age, and a greater prevalence of dementia diagnoses than lower CPS scores.
Conclusions:
Pilot data show the CPS is a valid screening measure of cognitive performance among adult psychiatric inpatients. Additional research is needed to replicate our study using a larger sample with more diverse mental health conditions.
