Background: Assessing cognitive constructs affected by Alzheimer disease, such as processing speed (PS), is important to screen for potential disease and allow for early detection. Digital PS assessments have been developed to provide widespread, efficient cognitive testing, but all have been validated only based on the correlation between test scores. Best statistical practices dictate that concurrent validity should be assessed for agreement or equivalence rather than using correlation alone.
Objective: This study aimed to assess the concurrent validity of a novel digital PS assessment against a gold-standard measure of PS.
Methods: Adults aged 45-75 years (n=191) participated in this study. Participants completed the novel digital digit-symbol substitution test (DDSST) and the Repeatable Battery for the Assessment of Neuropsychological Status coding test (RBANS-C). The correlation between the test scores was determined using a Pearson product-moment correlation, and a difference in mean test scores between tests was checked for using a 2-tailed dependent samples t test. Data were analyzed for agreement between the 2 tests using Bland-Altman limits of agreement and equivalency using a two one-sided t tests (TOST) approach.
Results: A significant moderate, positive correlation was found between DDSST and RBANS-C scores (r=.577; P<.001), and no difference in mean scores was detected between the tests (P=.93). Bias was nearly zero (0.04). Scores between the tests were found to display adequate agreement with 90% of score differences falling between -22.66 and 22.75 (90% limits of agreement=-22.91 to 22.99), and the scores were equivalent (P=.049).
Conclusions: Analyses indicate that the DDSST is a valid digital assessment of PS. The DDSST appears to be a suitable option for widespread, immediate, and efficient PS testing.
Trial registration: ClinicalTrials.gov NCT04559789; https://clinicaltrials.gov/ct2/show/NCT04559789.
Keywords: Alzheimer disease; aging; cognitive; dementia; digit-symbol substitution; processing speed.
©Anthony Campitelli, Sally Paulson, Josh L Gills, Megan D Jones, Erica N Madero, Jennifer Myers, Jordan M Glenn, Michelle Gray. Originally published in JMIR Aging (https://aging.jmir.org), 27.01.2023.