SynthesisOccupational therapy international2026
Integrating Assistive Technologies and Smart Home Systems in Neuromuscular Disorders: A Systematic Narrative Review of Clinical Outcomes and Occupational Therapy Perspectives.
Synthesis in Occupational therapy international, 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.
- Integrating Assistive Technologies and Smart Home Systems in Neuromuscular Disorders: A Systematic Narrative Review of Clinical Outcomes and Occupational Therapy Perspectives.Occupational therapy international · 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
5 authors.
Funding
Abstract
introductionIndividuals living with neuromuscular disorders experience progressive functional decline that severely impacts their daily autonomy and quality of life. While restorative robotics and compensatory smart home systems (SHSs) offer potential solutions, there is a need for a synthesized clinical framework to guide their integration. This narrative review, supported by systematic search and PRISMA-style selection, explores the synergy between these technologies and the specific role of occupational therapy in optimizing functional outcomes.
methodsA systematic narrative review was conducted by analyzing 20 primary studies focused on the application of assistive technologies in NMD populations. The synthesis categorized evidence into three primary domains: robotics and wearable systems, augmentative and alternative communication (AAC), and Internet of Things-driven smart home platforms. Clinical efficacy was evaluated based on quantitative performance metrics and qualitative user perspectives.
resultsThe review identifies significant functional gains associated with high-tech interventions, including a large effect size (1.06) for robotic upper-limb assistants. AI-driven multimodal smart home platforms demonstrated high technical precision, with monitoring accuracies reaching approximately 94% for motor impairment stages. However, despite this high technical efficacy, real-world utility remains complex, as clinical success is often moderated by nontechnical factors. Implementation is often hindered by barriers such as high costs, technical complexity, and privacy concerns. The findings highlight that successful integration depends on a "person-technology fit," facilitated by occupational therapists through rigorous customization and task adaptation.
conclusionIntegrating SHSs with traditional assistive technologies significantly enhances independent living for individuals with NMD. However, to move beyond experimental success, future research must prioritize user-centered codesign and the establishment of ethical mapping frameworks. Occupational therapists remain essential in bridging the gap between sophisticated technology and the practical, daily needs of patients.
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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.