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Published on: September 20, 2018
Clinical Manifestations
See Ann Soo1, Jermyn Z See1, Nav Vij1
1Neurowyzr Pte Ltd, Singapore, Singapore, Singapore.
Background:
The Digital Brain Function Screen (DBFS) is a medical-grade digital cognitive screening tool designed to detect early stages of Mild Cognitive Impairment (MCI) and monitor cognitive decline. While DBFS has shown comparability to the Montreal Cognitive Assessment (MoCA), a gold-standard tool for MCI detection, its construct validity and test-retest reliability had not been formally established. The aim of this study was to evaluate the construct validity and test-retest reliability of DBFS in comparison to MoCA.
Method:
A total of 157 individuals aged 10 to 81 years were recruited from a neurology clinic, with 36 participants completing a second DBFS assessment. Both DBFS and MoCA were administered during the same session, with an average interval between the first and second DBFS administrations of 305.33 ± 354.19 days (range: 1-1090 days). Construct validity was assessed using partial Spearman's rank correlations between domain-specific DBFS and MoCA scores, controlling for covariates including age, sex, and education. Test-retest reliability was evaluated by comparing DBFS scores from the first and second administrations using partial Spearman's rank correlation, while controlling for the same covariates. Statistical analysis was performed using R (https://www.r-project.org/).
Result:
The DBFS total score was significantly correlated with the MoCA total score (p < 0.001), and strong positive correlations (p < 0.05) were observed between DBFS domains and corresponding MoCA domains, indicating good construct validity. Among the 36 participants who completed the DBFS a second time, Spearman's ρ was 0.65 (p < 0.001), demonstrating a strong monotonic relationship and high reliability over time.
Conclusion:
The study confirms that DBFS domains effectively measure the intended cognitive constructs and maintain high reliability across repeated administrations. These findings establish the validity and reliability of DBFS as a practical, scalable, and efficient tool for detecting and monitoring early cognitive impairment. Its usability makes it suitable for deployment in various healthcare settings, including screening centers and specialty clinics.
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