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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Dec 7, 2019
Date Accepted: Oct 31, 2020

The final, peer-reviewed published version of this preprint can be found here:

Electronic Cognitive Screen Technology for Screening Older Adults With Dementia and Mild Cognitive Impairment in a Community Setting: Development and Validation Study

Chan JY, Wong A, Yiu B, Mok H, Lam P, Kwan P, Chan A, Mok VC, Tsoi KK, Kwok TC

Electronic Cognitive Screen Technology for Screening Older Adults With Dementia and Mild Cognitive Impairment in a Community Setting: Development and Validation Study

J Med Internet Res 2020;22(12):e17332

DOI: 10.2196/17332

PMID: 33337341

PMCID: 7775823

Development of the Electronic Cognitive Screen Technology for the Screening of Older Adults with Dementia and Mild Cognitive Impairment in a Community Setting: A Validation Study.

  • Joyce YC Chan; 
  • Adrian Wong; 
  • Brian Yiu; 
  • Hazel Mok; 
  • Patti Lam; 
  • Pauline Kwan; 
  • Amany Chan; 
  • Vincent CT Mok; 
  • Kelvin KF Tsoi; 
  • Timothy CY Kwok

ABSTRACT

Background:

A digital cognitive test can reportedly serve as a useful, quick and self-administered tool for the screening of cognitive impairment.

Objective:

To evaluate the diagnostic performance of the Electronic Cognitive Screen (EC-Screen) for the identification of cognitive impairment in older adults.

Methods:

The EC-Screen is a brief digital cognitive test that has been adapted from the Rapid Cognitive Screen test. The EC-Screen uses a cloud-based platform and runs on a tablet. Participants with cognitive impairment and healthy controls were recruited from the community. The Hong Kong version of the Montreal Cognitive Assessment (HK-MoCA) was used as a comparison test. A regression derived score of the EC-Screen was calculated by using binomial logistic regression. Receiver operating characteristic (ROC) curves were used to examine the capacity of the EC-Screen to distinguish cognitive impairment from controls. The area under the curve (AUC) with a 95% confidence interval (95% CI) was calculated. The relationship between the EC-Screen and HK-MoCA was evaluated by the Pearson correlation. Subgroup analysis was conducted according to the severity of cognitive impairment, i.e. mild cognitive impairment (MCI), Alzheimer’s Disease (AD).

Results:

A total of 50 cognitively healthy controls, 40 participants with MCI, and 44 participants with AD were included. In differentiating participants with cognitive impairment from controls, the AUC of EC-Screen was determined to be 0.86 (95% CI = 0.80 to 0.93). The optimal sensitivity and specificity were 0.81 and 0.80, respectively. No age or education effects were observed. There was a significant correlation between the EC-Screen and HK-MoCA (r = -0.74).

Conclusions:

The EC-Screen is suggested to be useful as a tool for the screening of cognitive impairment. As the EC-Screen is brief and can be self-administrated, it can be applied in both primary health care and community settings. Clinical Trial: NA


 Citation

Please cite as:

Chan JY, Wong A, Yiu B, Mok H, Lam P, Kwan P, Chan A, Mok VC, Tsoi KK, Kwok TC

Electronic Cognitive Screen Technology for Screening Older Adults With Dementia and Mild Cognitive Impairment in a Community Setting: Development and Validation Study

J Med Internet Res 2020;22(12):e17332

DOI: 10.2196/17332

PMID: 33337341

PMCID: 7775823

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