ReviewThe Gerontologist2026
Adoption of assistive technology in dementia care: a concept analysis for gerontological practice.
Review in The Gerontologist, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
BACKGROUND AND
objectivesDespite the growing use of assistive technologies in Alzheimer's disease (AD) and dementia care, adoption remains fragmented because the existing technology acceptance models overlook the relational, cultural, and ethical dimensions. This concept analysis aims to clarify the defining attributes, antecedents, consequences, and empirical referents of technology adoption in AD and dementia care. RESEARCH DESIGN AND
methodsUsing Walker and Avant's concept analysis framework, 25 studies from 2015 to 2025 across gerontology, nursing, computer science, and rehabilitation disciplines were systematically reviewed. Data were synthesized to identify defining attributes, model and contrary cases, antecedents, consequences, and empirical referents.
results6 defining attributes of adoption were identified: perceived usefulness, ease of use, emotional resonance, trust and privacy, personalization, and cultural-ethical fit. Antecedents included caregiver mediation, user motivation, and facilitating conditions, while consequences ranged from enhanced well-being, autonomy, and caregiver relief to overreliance and ethical concerns. Empirical referents included validated scales such as the Technology Acceptance Model, System Usability Scale, and measures of trust, privacy, and social connectedness. DISCUSSION AND IMPLICATIONS: Technology adoption in AD and dementia care is a contextual and multidimensional process shaped by functionality as well as emotional, cultural, and ethical factors requiring codesign with users and caregivers, cultural responsiveness, and robust privacy protections. This conceptual framework advances understanding of adoption by providing practical guidance for developers, practitioners, and policymakers seeking to design, evaluate, and implement inclusive gerontechnologies.
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