ArticleJMIR aging2026
Interactive Vision-Based 3D Augmented Reality System for In-Home Rehabilitation in Older Adults Following Total Joint Replacement: Cross-Sectional Survey of Patients and Service Providers.
Article in JMIR aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness of Interactive Remote Rehabilitation After Total Knee Arthroplasty: Systematic Review and Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Completing home exercise programs remains a significant challenge for older adults after total joint replacement (TJR), often resulting in suboptimal rehabilitation outcomes. Augmented reality (AR) technologies offer a promising approach to addressing limitations associated with traditional paper-based home exercise programs. Objective: This study aimed to identify priorities for design features and practical or logistical considerations to inform the future design of a 3D AR system (3D ARS) to support home-based rehabilitation for older adults following TJR. Methods: A cross-sectional online survey was administered via Qualtrics. The survey included items across four domains: sociodemographic and clinical characteristics, proposed design features, practical considerations, and logistical details, and potential barriers to access and use of the 3D ARS. Descriptive statistics (frequencies and percentages) were computed, and the Mann-Whitney U test was used to examine differences in feature preferences between older adults and service providers. Results: A total of 145 participants (56 older adults with TJR and 89 service providers) completed the survey (response rate 88.4%). Older adults and service providers shared similar priorities for several design features of the 3D ARS, including embedding individualized exercise programs, providing customized feedback on exercise progress, and including background music during exercise (all P>.05). However, significant differences emerged for other features. Older adults ranked the ability to receive positive, encouraging messages during exercises (U=1525, P<.001), voice activation prompts (U=1145, P<.001), and the ability to pause and resume exercises at any time (U=1843.50, P=.01) as higher priorities than service providers. Most older adults preferred real-time visual prompts to guide joint range of motion during exercise (42/56, 75%), whereas most service providers preferred chart-based progress reports (63/89, 71%). Participants further recommended accessing the system through physiotherapy clinics, initiating use within the first month following surgery, and maintaining access for 6-12 months. Conclusions: Findings identify key user-informed priorities for the design of AR-based rehabilitation technologies for older adults following TJR, including personalized exercise programming, accessible system interfaces, and timely feedback mechanisms. Incorporating these priorities into future system development may support scalable models of home-based rehabilitation that complement conventional physiotherapy care.
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