ArticleBMC geriatrics2022
Determinants of technology adoption and continued use among cognitively impaired older adults: a qualitative study.
Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Older people's attitudes towards emerging technologies: A systematic literature review.Public understanding of science (Bristol, England) · 2023Pooled it
- A mobile exercise management application based on exercise preferences in older adults with mild cognitive impairment: a development and usability study.BMC geriatrics · 2026Article
- Facilitators and Barriers to Over-the-Counter Hearing Aid Use in People With Dementia: Semistructured Interview Study.JMIR human factors · 2026Article
- Digital health technologies for the management of sarcopenia in patients receiving maintenance hemodialysis: a narrative review.Frontiers in nutrition · 2026Review
- Thematic landscapes and temporal trends of disability technology adoption: insights from Structural Topic Modelling.Frontiers in digital health · 2026Review
- Using Crowdsourcing Internet of Things Technology to Reduce Caregiver Worry in Dementia-Related Lost Episodes: Longitudinal Observational Study.JMIR human factors · 2025Observational
- Codesign of a framework to support compassionate care appropriate to technology use by people with cognitive decline.Disability and rehabilitation · 2025Article
- Selection, Optimization, and Compensation Strategies Used by Older Adults to Live Well With Technology: Qualitative Study.JMIR aging · 2025Article
- Exploring the Discontinuous Usage Behavior of Digital Cognitive Training Among Older Adults With Mild Cognitive Impairment and Their Family Members: Qualitative Study Using the Extended Model of IT Continuance.Journal of medical Internet research · 2025Article
- Effective engagement in computerized cognitive training for older adults.Ageing research reviews · 2025Review
- Influencing factors of initiation and maintenance of multidomain interventions in patients with mild cognitive impairment: a qualitative study.Frontiers in neurology · 2025Article
- Older adults' self-perception, technology anxiety, and intention to use digital public services.BMC public health · 2024Article
- Internet Use as a Moderator of the Relationship Between Personal Resources and Stress in Older Adults: Cross-Sectional Study.JMIR aging · 2024Article
- Existing Digital Health Technology Index Summary Report for Older Adults Living with Neurocognitive Disorders (Mild and Major) and Their Informal Caregivers: An Environmental Scan.Geriatrics (Basel, Switzerland) · 2024Review
- The mediating role of ICT learning confidence and technostress between executive functions and digital skills.Scientific reports · 2024Article
- How do you target cognitive training? Bridging the gap between standard and technological rehabilitation of cognitive domains.Frontiers in psychology · 2024Article
- Understanding acceptance of contactless monitoring technology in home-based dementia care: a cross-sectional survey study among informal caregivers.Frontiers in digital health · 2023Article
- From screens to cognition: A scoping review of the impact of screen time on cognitive function in midlife and older adults.Digital healthReview
- Review
- Applying the theory of planned behavior and the technology acceptance model to patient adherence to medical innovations in interventional radiology.Radiologia brasileiraReview
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTechnology offers opportunities to support older adults with mild cognitive impairments to remain independent and socially connected, but is often not used. Although determinants of technology use among older adults in general are well studied, much less is known about how these factors impact technology use behaviour in cognitively impaired older adults. This study aimed to bridge this gap in research by examining the factors underlying technology use in community-dwelling older adults with mild cognitive impairments.
methodsWe applied a generic qualitative design and used 16 semi-structured interviews to collect data from Belgian (Flemish) community-dwelling older adults diagnosed with Mild Cognitive Impairment or dementia and informal caregivers. To get data from different perspectives, a focus group with professional caregivers was added. We used thematic analysis with an inductive approach to identify and select themes from the data.
resultsWe identified two themes: introduction of technology and determinants of technology adoption and continued use. Successful technology adoption in cognitively impaired older adults is need-driven and subject to individual, technological and contextual characteristics. Specific for older adults with cognitive impairments are the importance of disease awareness and cognitive ability for adoption and continued use, respectively. Although social support can be a valuable alternative to technology, it is an important facilitator of continued technology use in these older adults. Similarly, integration of technologies in daily routines can buffer discontinuation of technologies.
conclusionsFuture research is encouraged to validate our findings in a postpandemic era and to further develop a novel theoretical framework for technology acceptance among older adults with cognitive impairments. Moreover, identification of crucial determinants as well as strategies to remove use barriers are also important future research tasks. Clinical practice should focus on improving disease awareness to facilitate technology adoption and policies should invest in training and support of professional caregivers and in reimbursement strategies to facilitate implementation of technology in practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.