ArticleJournal of neuroengineering and rehabilitation2021
A day in the life: a qualitative study of clinical decision-making and uptake of neurorehabilitation technology.
Article 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.
What it found
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Who cites it
15 citing papers in PubMed, 29 citations in OpenAlex.
- Robotic Technologies for Hand Recovery After Stroke: A Reflection on Research Paths in Honor of Dr. Steven Wolf.Neurorehabilitation and neural repair · 2026Article
- Factors influencing clinical decision-making in inpatient rehabilitation: A scoping review.Clinical rehabilitation · 2026Article
- Towards routine biomechanical data collection in stroke rehabilitation: a usability comparison of IMU and markerless motion capture systems for functional upper-limb assessments.Journal of neuroengineering and rehabilitation · 2026Article
- FDA-Listed Interactive Devices for Home Movement Rehabilitation After Stroke: A Mixed-Methods Study of Availability, User Needs, Information Gaps, and an Accompanying Dataset.Bioengineering (Basel, Switzerland) · 2026Article
- Enhancing therapeutic decisions during robot-assisted gait therapy: current challenges and development of a novel app-based therapy protocol to address them.BMC medical informatics and decision making · 2025Article
- The use of robotic upper limb therapy in routine clinical practice for stroke survivors: Insights from Australian therapists.Australian occupational therapy journal · 2025Article
- 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
- Use of Technology in the Rehabilitation Setting: Therapy Observations, Mixed Methods Analysis, and Data Visualization.Archives of rehabilitation research and clinical translation · 2025Article
- Economic Cost of Rehabilitation with Robotic and Virtual Reality Systems in People with Neurological Disorders: A Systematic Review.Journal of clinical medicine · 2024Review
- Uptake of Technology for Neurorehabilitation in Clinical Practice: A Scoping Review.Physical therapy · 2024Article
- Understanding the Barriers and Facilitators of Digital Health Technology (DHT) Implementation in Neurological Rehabilitation: An Integrative Systematic Review.Health services insights · 2024Review
- Evaluation of a passive wearable arm ExoNET.Frontiers in robotics and AI · 2024Article
- BARRIERS AND FACILITATORS TO ADOPTING A CLINICIAN DASHBOARD SUPPORTING UPPER LIMB MYOELECTRIC-CONTROLLED PROSTHESES.Myoelectric Controls and Upper Limb Prosthetics Symposium · 2024Article
- An analysis of usability evaluation practices and contexts of use in wearable robotics.Journal of neuroengineering and rehabilitation · 2021Article
- A Pilot Study of a Sensor Enhanced Activity Management System for Promoting Home Rehabilitation Exercise Performed during the COVID-19 Pandemic: Therapist Experience, Reimbursement, and Recommendations for Implementation.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundNeurorehabilitation engineering faces numerous challenges to translating new technologies, but it is unclear which of these challenges are most limiting. Our aim is to improve understanding of rehabilitation therapists' real-time decision-making processes on the use of rehabilitation technology (RT) in clinical treatment.
methodsWe used a phenomenological qualitative approach, in which three OTs and two PTs employed at a major, technology-encouraging rehabilitation hospital wrote vignettes from a written prompt describing their RT use decisions during treatment sessions with nine patients (4 with stroke, 2 traumatic brain injury, 1 spinal cord injury, 1 with multiple sclerosis). We then coded the vignettes using deductive qualitative analysis from 17 constructs derived from the RT literature and the Consolidated Framework for Implementation Research (CFIR). Data were synthesized using summative content analysis.
resultsOf the constructs recorded, the five most prominent are from CFIR determinants of: (i) relative advantage, (ii) personal attributes of the patients, (iii) clinician knowledge and beliefs of the device/intervention, (iv) complexity of the devices including time and setup, and (v) organizational readiness to implement. Therapists characterized candidate RT as having a relative disadvantage compared to conventional treatment due to lack of relevance to functional training. RT design also often failed to consider the multi-faceted personal attributes of the patients, including diagnoses, goals, and physical and cognitive limitations. Clinicians' comfort with RT was increased by their previous training but was decreased by the perceived complexity of RT. Finally, therapists have limited time to gather, setup, and use RT.
conclusionsDespite decades of design work aimed at creating clinically useful RT, many lack compatibility with clinical translation needs in inpatient neurologic rehabilitation. New RT continue to impede the immediacy, versatility, and functionality of hands-on therapy mediated treatment with simple everyday objects.
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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.