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Digital Cognitive Test for Early Detection of Dementia
Olga Vasileiou1, Haralampos Karanikas1
1University of Thessaly, Greece.
Studies in Health Technology and Informatics
|August 23, 2024
Summary
Early dementia detection is crucial. This study reviews mobile cognitive tests, highlighting limitations and proposing a digital Montreal Cognitive Assessment (MoCA) for improved accessibility and reliability in early diagnosis.
Area of Science:
- Neurology
- Gerontology
- Digital Health
Background:
- Dementia presents a major global health challenge.
- Early detection of dementia is vital for timely intervention and management.
- Current mobile cognitive tests have limitations in accessibility and reliability.
Purpose of the Study:
- To review existing mobile-based cognitive tests for dementia.
- To identify limitations of current mobile cognitive assessment tools.
- To propose a digital, self-administered version of the Montreal Cognitive Assessment (MoCA) test.
Main Methods:
- A comprehensive literature review of mobile-based cognitive tests was performed.
- Analysis of reviewed applications focused on identifying accessibility and reliability issues.
- Development of a digital, self-administered MoCA test prototype.
Main Results:
- Existing mobile cognitive tests exhibit significant limitations.
- Accessibility and reliability are key challenges for current digital cognitive assessments.
- A novel digital MoCA application is proposed to address these identified gaps.
Conclusions:
- The proposed digital MoCA aims to overcome limitations of current mobile cognitive tests.
- Further research is needed to validate the effectiveness of the digital MoCA for early dementia detection.
- This digital tool has the potential to enhance early dementia screening and accessibility.
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