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Usability and Adoption of Sensor-Integrated Smart Assistive Mobility Devices for Fall Prevention Among Community-Dwelling Older Adults: A Scoping Review
No full textBackground: Falls remain one of the leading causes of injury, disability, and mortality among older adults worldwide. Assistive mobility devices such as canes, walkers, and rollators have long been used to support safe ambulation. Recent technological advancements have led to the integration of sensors and smart technologies into these conventional devices, creating sensor-integrated smart assistive mobility devices capable of real-time gait monitoring, fall detection, and user feedback. However, evidence regarding the usability and adoption of these devices among community-dwelling older adults remains fragmented and has not been comprehensively mapped.
Purpose: This scoping review aims to systematically map and synthesize the existing literature on the usability and adoption of sensor-integrated smart assistive mobility devices designed for fall prevention among community-dwelling older adults. The review follows the Joanna Briggs Institute (JBI) methodology for scoping reviews and adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines.
Methods: A comprehensive search will be conducted in Scopus as the primary database, supplemented by PubMed, Web of Science, IEEE Xplore, and CINAHL. The Population-Concept-Context (PCC) framework guides the review: Population — community-dwelling older adults aged 60 years and above; Concept — usability, user acceptance, and adoption of sensor-integrated smart assistive mobility devices; Context — fall prevention in community or home-based settings. Two independent reviewers will screen titles, abstracts, and full texts. Data will be extracted using a standardized charting form and synthesized thematically.
Expected outcomes: This review will provide a comprehensive overview of available sensor-integrated smart mobility devices, the types of sensors and technologies employed, usability evaluation methods and outcomes, factors influencing adoption among older adults, and identified gaps for future research and clinical practice in geriatric fall prevention