![]() ![]() Most experts agree that underdiagnosed dementia is a major gap in care because early detection of cognitive decline in older adults with cognitive symptoms (i.e., patient’s concerns, informant concerns, etc.) is beneficial for both patients and their caregivers ( 8– 11). ![]() In light of projected increases in prevalence and burden ( 7) of dementia, innovative solutions in diagnosis and clinical care of dementia will be critical to alleviate the impact of these changes on public healthcare systems. Developments in technology and biomarker studies provide potential avenues for future directions on the use of digital technology in clinical care.ĭementia remains a widely underdiagnosed condition, both in Western countries ( 1– 5) and globally ( 6). Despite the promise that self-administered cognitive tests hold for clinical implementation, important gaps in scientific rigor in development, validation, and feasibility studies of these measures remain. Similar to past reviews, we found variability across measures with regard to psychometric rigor and potential for widescale applicability in clinical settings. Only 2 measures evaluated feasibility and usability in the intended clinical settings. There was substantial variability in characteristics of validation samples and reliability and validity estimates. Seventeen studies reporting on 10 cognitive tools met inclusion criteria and were subjected to systematic review. All studies reporting on psychometric validation of brief (≤30 minutes) self-administered computerized measures for detection of MCI and all-cause dementia in older adults were included. Studies were identified via a systematic search of published peer-reviewed literature across major scientific databases. ![]() In this study, we conducted a systematic review of self-administered computerized cognitive assessment measures designed for the detection of cognitive impairment in older adults. Brief self-administered computerized cognitive tools in particular hold promise for clinical implementation by minimizing demands on staff time. Rapid advances in digital technology offer potential for developing innovative diagnostic pathways to support early diagnosis. Early diagnosis of cognitive disorders in older adults is a major healthcare priority with benefits to patients, families, and health systems. ![]()
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