Abstract
Background: Early detection of dementia and cognitive decline is crucial for effective interventions and overall wellbeing. Although virtual reality (VR) tools offer potential advantages to traditional dementia screening tools, there is a lack of knowledge regarding older adults’ acceptance of VR tools, as well as the predictors and features influencing their adoption. This study aims to (i) explore older adults’ perceptions of the acceptability and usefulness of VR diagnostic tools for dementia, and (ii) identify demographic predictors of adoption and features of VR applications that contribute to future adoption among older adults.
Methods: A cross-sectional study was conducted involving community-dwelling older adults who completed online questionnaires covering demographics, medical history, technology acceptance, previous usage, and perceived usefulness and barriers to VR adoption. Multiple linear regression was employed to assess relationships between sociodemographic factors, prior technology use, perceived ease, usefulness, and intention to adopt VR-based diagnostic tools.
Results: Older adults (N = 77, Mage = 73.74, SD = 6.4) were predominantly female and born in English-speaking countries. Perceived usefulness of VR applications and educational attainment emerged as significant predictors of the likelihood to use VR applications for dementia screening. Generally, older adults showed acceptance of VR applications for healthcare and dementia screening. Fully immersive applications were preferred, and older adults were mostly willing to share electronic information from screening with their healthcare providers.
Conclusions: The field of research on VR applications in healthcare is expanding. Understanding the demographic characteristics of populations that stand to benefit from healthcare innovations is critical for promoting adoption of digital health technologies and mitigating its barriers to access.
Original language | English |
---|---|
Article number | 493 |
Number of pages | 9 |
Journal | BMC Geriatrics |
Volume | 24 |
Issue number | 1 |
DOIs | |
Publication status | Published - Dec 2024 |
Bibliographical note
Publisher Copyright:© The Author(s) 2024.
Keywords
- Acceptability
- Cognition digital health
- Older adults
- Virtual reality