Literature DB >> 32631031

Correlation between Performance-Based and Interview-Based Cognitive Measurements in Patients with Schizophrenia.

Dong-Wook Jeon1, Do-Un Jung1, Minkyung Oh2, Jung-Joon Moon1, Sung-Jin Kim1, Yeon-Sue Kim1.   

Abstract

OBJECTIVE: The Measurement and Treatment Research to improve Cognition in Schizophrenia Consensus Cognitive Battery (MCCB) is used to measure the cognitive function of patients with schizophrenia. In some situations, interview-based measures such as the Schizophrenia Cognition Rating Scale (SCoRS) may be appropriate. In this study, we analyzed the correlation between performance- and interview-based measurements in patients with schizophrenia.
METHODS: Fifty-six clinically stable patients were recruited. To evaluate cognitive function, we used the MCCB performance-based measure and the SCoRS interview-based measure. Measurements were taken at baseline, and 2 weeks and 3 months later. Spearman correlations were computed between each SCoRS item's interviewer rating and each MCCB score.
RESULTS: The correlation between the MCCB overall T score and the SCoRS global score was the strongest (r=-0.52), while the SCoRS total score and the MCCB Speed of Processing score also correlated (r=-0.48). The SCoRS global score showed statistically significant correlations with all seven MCCB domains and the overall T score.
CONCLUSION: This study reveals correlations between MCCB domains and SCoRS items. Since we find that interview-based measurements are highly correlated with performance-based measurements, we suggest them as a useful cognitive function evaluation tool that can easily be applied in clinical settings.

Entities:  

Keywords:  Cognition; MCCB; SCoRS; Schizophrenia

Year:  2020        PMID: 32631031     DOI: 10.30773/pi.2020.0085

Source DB:  PubMed          Journal:  Psychiatry Investig        ISSN: 1738-3684            Impact factor:   2.505


  1 in total

1.  Validation of the Chinese Version of the Schizophrenia Cognition Rating Scale.

Authors:  Kuan-Wei Huang; Pao-Yen Lin; Yu Lee; Yu-Chi Huang; Chi-Fa Hung; Sheng-Yu Lee; Chih-Ken Chen; Liang-Jen Wang
Journal:  Psychiatry Investig       Date:  2022-07-21       Impact factor: 3.202

  1 in total

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