Digital Cognitive Assessment Tests for Older Adults: Systematic Literature Review

Area of Science:

• Gerontology
• Neuroscience
• Health Informatics

Background:

• The COVID-19 pandemic disproportionately impacted older adults, particularly those with mental health conditions.
• Early prevention of cognitive impairment in adults is crucial, necessitating the use of information and communication technologies (ICT).
• Computer applications offer a viable method for evaluating and training cognitive functions.

Purpose of the Study:

• To conduct a systematic review of current digital platforms and applications for cognitive evaluation.
• To focus specifically on the application and effectiveness of these tools in older adult populations.
• To identify trends, gaps, and areas for improvement in digital cognitive assessment.

Main Methods:

• A systematic literature search was performed across Web of Science, PubMed, and Scopus.
• The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was employed.
• Twenty articles were selected based on predefined inclusion and exclusion criteria.

Main Results:

• Computerized tests and test batteries on various devices were the primary assessment methods.
• Emerging technologies include simulators, virtual environments, and gamified daily-life activities.
• Identified gaps include a lack of validation in diverse populations (education, culture, tech acceptance) and insufficient consideration of emotional and usability factors.

Conclusions:

• Digital cognitive assessment tools are evolving, with computerized tests and batteries being predominant.
• Further research should prioritize inclusivity, evaluating diverse populations and incorporating emotional and usability aspects.
• Enhancing the validation and applicability of these technologies is key for effective cognitive health support in aging populations.