Cognitive Assessment by Telemedicine: Reliability and Agreement between Face-to-Face and Remote Videoconference-Based Cognitive Tests in Older Adults Attending a Memory Clinic.

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has spurred the rapid adoption of telemedicine. However, the reproducibility of face-to-face (F2F) versus remote videoconference-based cognitive testing remains to be established. We assessed the reliability and agreement between F2F and remote administrations of the Abbreviated Mental Test (AMT), modified version of the Chinese Mini-Mental State Examination (mCMMSE), and Chinese Frontal Assessment Battery (CFAB) in older adults attending a memory clinic.

METHODS

The participants underwent F2F followed by remote videoconference-based assessment by the same assessor within 3 weeks. Reliability was evaluated using intraclass correlation coefficients (ICC; two-way mixed, absolute agreement), the mean difference between remote and F2F-based assessments using paired-sample t-tests, and agreement using Bland-Altman plots.

RESULTS

Fifty-six subjects (mean age, 76±5.4 years; 74% mild; 19% moderate dementia) completed the AMT and mCMMSE, of which 30 completed the CFAB. Good reliability was noted based on the ICC values-AMT: ICC=0.80, 95% confidence interval [CI] 0.68-0.88; mCMMSE: ICC=0.80, 95% CI 0.63-0.88; CFAB: ICC=0.82, 95% CI 0.66-0.91. However, remote AMT and mCMMSE scores were higher compared to F2F-mean difference (i.e., remote minus F2F): AMT 0.3±1.1, p=0.03; mCMMSE 1.3±2.9, p=0.001. Significant differences were observed in the orientation and recall items of the mCMMSE and the similarities and conflicting instructions of CFAB. Bland-Altman plots indicated wide 95% limits of agreement (AMT -1.9 to 2.6; mCMMSE -4.3 to 6.9; CFAB -3.0 to 3.8), exceeding the a priori-defined levels of error.

CONCLUSION

While the remote and F2F cognitive assessments demonstrated good overall reliability, the test scores were higher when performed remotely compared to F2F. The discrepancies in agreement warrant attention to patient selection and environment optimization for the successful adaptation of telemedicine for cognitive assessment.