Acceptability of Technologies to Support Early Dementia Detection: Qualitative Study With the Boston University Alzheimer’s Disease Center Cohort - Scorecard - MDSpire
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Acceptability of Technologies to Support Early Dementia Detection: Qualitative Study With the Boston University Alzheimer’s Disease Center Cohort
Clinical Scorecard: Evaluation of Technology Acceptance for Early Detection of Dementia: A Qualitative Analysis Involving Participants from the Boston University Alzheimer’s Disease Center
At a Glance
Category
Detail
Condition
Dementia and Mild Cognitive Impairment (MCI)
Key Mechanisms
Digital technologies for remote monitoring of cognitive abilities and function.
Target Population
Older adults (aged 65 years and older) and individuals with a clinical diagnosis of MCI.
Care Setting
Boston University Alzheimer’s Disease Center and similar research cohorts.
Key Highlights
Over 57 million people lived with dementia in 2021, with new cases increasing by nearly 10 million annually.
Alzheimer disease accounts for 60%-70% of dementia cases.
Digital technologies can facilitate early detection of dementia in a cost-effective and less invasive manner.
Participants in the study were older adults and those living with MCI.
The study aimed to explore the acceptability of various digital technologies for early detection.
Guideline-Based Recommendations
Diagnosis
Combination of cognitive assessments, neuroimaging, and healthcare professionals’ judgment.
Management
Utilization of digital technologies for monitoring cognitive function.
Monitoring & Follow-up
Regular assessments using selected digital technologies every three months.
Risks
Individuals with MCI have a 5-fold increased risk of developing dementia.
Patient & Prescribing Data
Older adults and individuals with MCI.
Digital technologies include gamified apps, passive apps, and wearable devices measuring various cognitive and physical modalities.
Clinical Best Practices
Ensure user involvement in the design and development of digital technologies.
Provide training and support for participants in using digital technologies.
by Sarah Wilson, Emily Beswick, Zachary Popp, Salman Rahman, Sharandeep Bhogal, Tim Whitfield, Spencer Low, Raiyan Khan, Clare Tolley, Zuzana Walker, Rhoda Au, Sarah P Slight
