Ziyuan Cai, Valentina Giunchiglia, Rebecca Street, Martina Del Giovane, Kirsty Lu, Maria Popham, Andrew Wong, Heidi Murray-Smith, Marcus Richards, Sebastian Crutch, Peter J Hellyer, Jonathan M Schott, Adam Hampshire
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引用次数: 0
Abstract
Introduction: Online assessments are scalable and cost effective for detecting cognitive changes, especially in elderly cohorts with limited mobility and higher vulnerability to neurological conditions. However, determining the uptake, adherence, and usability of these assessments in older adults, who may have less experience with mobile devices, is crucial.
Methods: A total of 1776 members (aged 77) of the Medical Research Council National Survey of Health and Development (NSHD) were invited to complete 13 online cognitive tasks. Adherence was measured through task compliance, while uptake (consent, attempt, completion) was linked to health and sociodemographic factors. Usability was evaluated through qualitative feedback.
Results: This study's consent (56.9%), attempt (80.5%), and completion (88.8%) rates are comparable to supervised NSHD substudies. Significant predictors of uptake included education, sex, handedness, cognitive scores, weight, smoking, alcohol consumption, and disease burden.
Discussion: With key recommendations followed, online cognitive assessments are feasible, with good adherence and usability in older adults.
Highlights: Online cognitive tasks have good uptake, adherence, and usability in older adults.Education, previous cognitive scores, and alcohol consumption predict consent.Alcohol consumption and weight are related to attempting an assessment.Sex, smoking, and disease burden are associated with completion.Protocol challenges and recommendations are identified through qualitative analysis.
期刊介绍：
Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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