Observational studyJournal of medical Internet research2024
Advanced Technology in a Real-World Rehabilitation Setting: Longitudinal Observational Study on Clinician Adoption and Implementation.
Observational study in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness of emerging technology-assisted rehabilitation in children with cerebral palsy: a systematic review and meta-analysis.Frontiers in neurology · 2026Pooled it
- Feasibility and safety of multi-field functional electrical stimulation for distal upper-limb rehabilitation after subacute stroke: a randomised controlled feasibility trial.Frontiers in rehabilitation sciences · 2026Trial
- Self-directed and caregiver-assisted technology-based interventions in inpatient stroke rehabilitation: A scoping review.Clinical rehabilitation · 2026Article
- Exploring the Influence of Digitalization on Multidisciplinary Poststroke Rehabilitation Practice: Qualitative Study.JMIR rehabilitation and assistive technologies · 2026Article
- Clinical implementation of virtual reality in neurorehabilitation: a scoping review of barriers, facilitators, and motivational factors.Frontiers in rehabilitation sciences · 2026Review
- Human interactions remain at the heart of rehabilitation with advanced technology: a practice-embedded longitudinal qualitative study with allied health clinicians.Journal of neuroengineering and rehabilitation · 2025Article
- New Technological Approaches in Occupational Therapy for Pediatric Cerebral Palsy: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
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
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdvanced technologies are becoming increasingly accessible in rehabilitation. Current research suggests technology can increase therapy dosage, provide multisensory feedback, and reduce manual handling for clinicians. While more high-quality evidence regarding the effectiveness of rehabilitation technologies is needed, understanding of how to effectively integrate technology into clinical practice is also limited. Current implementation of rehabilitation technology is inconsistent, with low uptake among clinicians and frequent reports of technology abandonment. An Australian rehabilitation provider opened a new technology therapy center in 2022, offering a unique opportunity to generate practice-based evidence to inform future technology implementation and research.
objectiveThis study aimed to investigate the implementation and adoption of advanced technology within a real-world rehabilitation setting.
methodsThis study was a longitudinal observational study in a rehabilitation organization with inpatient, outpatient, and community settings. Allied health clinicians (n=119) within the organization had access to advanced technologies, with patients receiving neurological, spinal cord injury, brain injury, or general rehabilitation. Interventions included 21 advanced technologies, including robotic, virtual reality (VR), sensor-based, and functional electrical stimulation devices. Clinicians received training for devices in a staged approach by external and internal trainers. Data were collected from patient electronic medical records from July 1, 2022, to June 30, 2023. Outcomes included frequency of advanced technology use, patient demographics (age, gender, and primary health condition), clinician discipline, rehabilitation service (inpatient, outpatient, or community), goals of technology therapy sessions, and therapy dosage achieved (minutes active, number of repetitions, and meters walked).
resultsClinicians used advanced technology 4208 times with 269 patients over 12 months; specifically, physiotherapists (2716/4208, 65%), occupational therapists (1396/4208, 33%), and allied health assistants (96/4208, 2%). The majority of patients had stroke, spinal cord injury, or brain injury diagnoses (188/269, 70%). Devices were typically used to target impairment and activity limitation-related goals. Frequently used devices included gait training body-weight support (VR treadmill and overground), overground robotic exoskeletons, and upper limb robotic VR devices. Outpatient services were the dominant users of advanced technology (3940/4208, 94%). Clinicians most commonly used devices for patients with stroke (1973/4208, 47%) and the greatest variety of devices for patients with stroke and spinal cord injury. The relative use of lower limb robotic devices was greater in inpatient services (91/178, 51%, vs outpatient services, 963/2335, 41%) (χ
conclusionsThe type and amount of advanced technology use differed between patient populations and rehabilitation settings. To support clinician use of advanced technology, devices should match the rehabilitation context. Tailored strategies are important, such as clinician training. Further practice-based research is required to provide guidance on implementation and to establish the effectiveness of advanced technology use.
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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.