Accuracy of a self-administered online cognitive assessment in detecting amnestic mild cognitive impairment

Simple item page
dc.contributor.authorPaterson, Theone S. E.
dc.contributor.authorSivajohan, Brintha
dc.contributor.authorGardner, Sandra
dc.contributor.authorBinns, Malcolm A.
dc.contributor.authorStokes, Kathryn A.
dc.contributor.authorFreedman, Morris
dc.contributor.authorLevine, Brian
dc.contributor.authorTroyer, Angela K.
dc.date.accessioned2022-02-23T22:37:43Z
dc.date.available2022-02-23T22:37:43Z
dc.date.copyright2022en_US
dc.date.issued2022
dc.descriptionThe authors would like to acknowledge the following individuals’ contributions: Michael Meagher assisted with the preparation of the CABHI grant application and provided project management. Caitlin Johnston provided project management. Komal Shaikh, Rebecca Trossman, and Rachel Downey conducted participant assessments. This research was not preregistered with an analysis plan in an independent, institutional registry. Data, analytic methods, and study materials can be made available to other researchers upon request.en_US
dc.description.abstractObjectives: Our aim was to validate the online Brain Health Assessment (BHA) for detection of amnestic mild cognitive impairment (aMCI) compared to gold-standard neuropsychological assessment. We compared the diagnostic accuracy of the BHA to the Montreal Cognitive Assessment (MoCA). Methods: Using a cross-sectional design, community-dwelling older adults completed a neuropsychological assessment, were diagnosed as normal cognition (NC) or aMCI, and completed the BHA and MoCA. Both logistic regression (LR) and penalized logistic regression (PLR) analyses determined BHA and demographic variables predicting aMCI; MoCA variables were similarly modeled. Diagnostic accuracy was compared using area under the receiver operating characteristic curve (ROC AUC) analyses. Results: Ninety-one participants met inclusion criteria (51 aMCI, 40 NC). PLR modeling for the BHA indicated Face–Name Association, Spatial Working Memory, and age-predicted aMCI (ROC AUC = 0.76; 95% confidence interval [CI]:0.66–0.86). Optimal cut-points resulted in 21% classified as aMCI (positive), 23% negative, and 56% inconclusive. For the MoCA, digits, abstraction, delayed recall, orientation, and age predicted aMCI (ROC AUC = 0.71; 95% CI: 0.61–0.82). Optimal cut-points resulted in 22% classified positive, 8% negative, and 70% inconclusive (LR results presented within). The BHA model classified fewer participants into the inconclusive category and more as negative for aMCI, compared to the MoCA model (Stuart–Maxwell p = .004). Discussion: The self-administered BHA provides similar detection of aMCI as a clinician-administered screener (MoCA), with fewer participants classified inconclusively. The BHA has the potential to save practitioners time and decrease unnecessary referrals for a comprehensive assessment to determine the presence of aMCI.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipThis work was supported by funding from the Centre for Aging + Brain Health Innovation (CABHI) Researcher–Clinician Partnership Program (Project title: Clinical Validation of the Cogniciti Brain Health Assessment). Support was also received from the Saul A. Silverman Family Foundation as part of the Canada International Scientific Exchange Program (M. Freedman) and Morris Kerzner Memorial Fund (M. Freedman).en_US
dc.identifier.citationPaterson, T. S. E., Sivajohan, B., Gardner, S., Binns, M. A., Stokes, K. A., Freedman, M., Levine, B., & Troyer, A. K. (2022). “Accuracy of a Self-Administered Online Cognitive Assessment in Detecting Amnestic Mild Cognitive Impairment.” Journals of Gerontology: Series B, 70(2), 341-350. DOI: https://doi.org/10.1093/geronb/gbab097en_US
dc.identifier.urihttps://doi.org/10.1093/geronb/gbab097
dc.identifier.urihttp://hdl.handle.net/1828/13749
dc.language.isoenen_US
dc.publisherJournals of Gerontology: Series Ben_US
dc.subjectCognitive screening
dc.subjectDiagnostic accuracy
dc.subjecteHealth
dc.subjectLogistic regression
dc.subjectValidity
dc.subject.departmentDepartment of Psychology
dc.titleAccuracy of a self-administered online cognitive assessment in detecting amnestic mild cognitive impairmenten_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Paterson_Theone_JGerontolBPsycholSciSocSci_2022.pdf
Size:
1.44 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Faculty and Staff Publications
 
University of Victoria Libraries

We acknowledge and respect the Lək̓ʷəŋən (Songhees and Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day.