SynthesisJournal of neuroengineering and rehabilitation2021
Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis.
Synthesis in Journal of neuroengineering and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 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
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Improving research and development of wearable assistive and rehabilitation technologies: a systematic review on diversity factors.Journal of neuroengineering and rehabilitation · 2025Pooled it
- A robotic rehabilitation intervention in a home setting during the Covid-19 outbreak: a feasibility pilot study in patients with stroke.Journal of neuroengineering and rehabilitation · 2025Trial
- Hands-free Atalante exoskeleton in post-stroke gait and balance rehabilitation: a safety study.Journal of neuroengineering and rehabilitation · 2025Trial
- Implications for Care Relationships in Technology-Supported Stroke Rehabilitation: A Qualitative Interview Study.Science and engineering ethics · 2026Article
- Retrospective safety evaluation of the atalante exoskeleton in a clinical setting in patients with tetraplegia and high paraplegia.Spinal cord series and cases · 2026Article
- Identifying needs in adult rehabilitation to support the clinical implementation of robotics and allied technologies: an Italian national survey.Frontiers in digital health · 2026Article
- Exploring Rehabilitation Patients' Perspectives on What Matters for the Adoption of Home-Based Rehabilitation Technology: Q-Methodology Study.JMIR rehabilitation and assistive technologies · 2025Article
- Towards the Identification of Patients' Needs for Promoting Robotics and Allied Digital Technologies in Rehabilitation: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- Decoupled, wearable soft robotic rehabilitation device for the upper limb.Wearable technologies · 2025Article
- Article
- Effects of Upper Limb Robot-Assisted Rehabilitation Compared with Conventional Therapy in Patients with Stroke: Preliminary Results on a Daily Task Assessed Using Motion Analysis.Sensors (Basel, Switzerland) · 2023Article
- Heterogeneity of Attitudes toward Robots in Healthcare among the Chinese Public: A Latent Profile Analysis.International journal of environmental research and public health · 2022Article
- Article
- Stroke survivor perceptions of using an exoskeleton during acute gait rehabilitation.Scientific reports · 2022Article
- Functional recovery priorities and community rehabilitation service preferences of spinal cord injury individuals and caregivers of Chinese ethnicity and cultural background.Frontiers in neurology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn recent years, robotic rehabilitation devices have often been used for motor training. However, to date, no systematic reviews of qualitative studies exploring the end-user experiences of robotic devices in motor rehabilitation have been published. The aim of this study was to review end-users' (patients, carers and healthcare professionals) experiences with robotic devices in motor rehabilitation, by conducting a systematic review and thematic meta-synthesis of qualitative studies concerning the users' experiences with such robotic devices.
methodsQualitative studies and mixed-methods studies with a qualitative element were eligible for inclusion. Nine electronic databases were searched from inception to August 2020, supplemented with internet searches and forward and backward citation tracking from the included studies and review articles. Data were synthesised thematically following the Thomas and Harden approach. The CASP Qualitative Checklist was used to assess the quality of the included studies of this review.
resultsThe search strategy identified a total of 13,556 citations and after removing duplicates and excluding citations based on title and abstract, and full text screening, 30 studies were included. All studies were considered of acceptable quality. We developed six analytical themes: logistic barriers; technological challenges; appeal and engagement; supportive interactions and relationships; benefits for physical, psychological, and social function(ing); and expanding and sustaining therapeutic options.
conclusionsDespite experiencing technological and logistic challenges, participants found robotic devices acceptable, useful and beneficial (physically, psychologically, and socially), as well as fun and interesting. Having supportive relationships with significant others and positive therapeutic relationships with healthcare staff were considered the foundation for successful rehabilitation and recovery.
Indexed as
Identifiers
What OpenQuestion holds
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.