The DOI matches its Crossref record, with a small difference in title or year; 4 of the 4 references it cites were found in a registry or an index.
How Therapists Use Visualizations of Upper Limb Movement Information From Stroke Patients: A Qualitative Study With Simulated Information
Open accessAbstract
BACKGROUND: Stroke is a leading cause of disability worldwide, with upper limb deficits affecting an estimated 30% to 60% of survivors. The effectiveness of upper limb rehabilitation relies on numerous factors, particularly patient compliance to home programs and exercises set by therapists. However, therapists lack objective information about their patients' adherence to rehabilitation exercises as well as other uses of the affected arm and hand in everyday life outside the clinic. We developed a system that consists of wearable sensor technology to monitor a patient's arm movement and a Web-based dashboard to visualize this information for therapists. OBJECTIVE: The aim of our study was to evaluate how therapists use upper limb movement information visualized on a dashboard to support the rehabilitation process. METHODS: An interactive dashboard prototype with simulated movement information was created and evaluated through a user-centered design process with therapists (N=8) at a rehabilitation clinic. Data were collected through observations of therapists interacting with an interactive dashboard prototype, think-aloud data, and interviews. Data were analyzed qualitatively through thematic analysis. RESULTS: Therapists use visualizations of upper limb information in the following ways: (1) to obtain objective data of patients' activity levels, exercise, and neglect outside the clinic, (2) to engage patients in the rehabilitation process through education, motivation, and discussion of experiences with activities of daily living, and (3) to engage with other clinicians and researchers based on objective data. A major limitation is the lack of contextual data, which is needed by therapists to discern how movement data visualized on the dashboard relate to activities of daily living. CONCLUSIONS: Upper limb information captured through wearable devices provides novel insights for therapists and helps to engage patients and other clinicians in therapy. Consideration needs to be given to the collection and visualization of contextual information to provide meaningful insights into patient engagement in activities of daily living. These findings open the door for further work to develop a fully functioning system and to trial it with patients and clinicians during therapy.
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Existing stroke recovery monitoring systems were designed to be used by healthcare providers or caregivers, not by both healthcare providers and patients for communication during inpatient stroke rehabilitation.
“Furthermore, these systems were designed to be used by healthcare providers [46, 47] or caregivers [28] for monitoring patient's recovery progress. They were not developed to be used by healthcare providers and patients for communication during inpatient stroke rehabilitation.”
From A Data Visualization Tool for Patients and Healthcare Providers to Communicate during Inpatient Stroke Rehabilitation (2024) · cites this paper as [46]
The Methods (Dashboard Design Process; page unavailable) support the provider-monitoring aspect, but say the dashboard was designed to support therapists in consultations with patients. The Results (Theme 2; page unavailable) explicitly describe therapists and patients using it together to discuss rehabilitation data, contrary to the claim that it was not developed for such communication. The study did not test use during inpatient rehabilitation. (LLM, conf=0.86)
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Experimental — accuracy not yet measuredSeveral technological and visualization tools were developed to monitor stroke recovery progress, particularly monitoring the patient's upper limb movement during stroke recovery.
“Several technological and visualization tools were developed to monitor stroke recovery progress, particularly monitoring the patient's upper limb movement during stroke recovery [28, 46, 47].”
From A Data Visualization Tool for Patients and Healthcare Providers to Communicate during Inpatient Stroke Rehabilitation (2024) · cites this paper as [46]
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Cites
Using thematic analysis in psychology
Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414
Interventions for improving upper limb function after stroke
Pollock, A., Farmer, S. E., Brady, M. C., Langhorne, P., Mead, G. E., Mehrholz, J., & van Wijck, F. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd010820.pub2 · Cited by 909
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Noorkõiv, M., Rodgers, H., & Price, C. I. (2014) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-11-144 · Cited by 141
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Ramesh, S. H., Ouskine, A., Khorasani, E., Ebrahimipour, M., Finestone, H., Chan, A. D. C., & Rajabiyazdi, F. (2024) · Graphics Interface · doi:10.1145/3670947.3670978 · Cited by 7
Metadata
- Authors
- Ploderer, B., Fong, J., Klaic, M., Nair, S., Vetere, F., Cofré Lizama, L. E., & Galea, M. P.
- Affiliations
- Queensland University of Technology (AU)
- The University of Melbourne (AU)
- The Royal Melbourne Hospital (AU)
- Corresponding author
- Ploderer, Bernd
- ORCID
- Venue
- JMIR Rehabilitation and Assistive Technologies
- Publisher
- JMIR Publications Inc.
- Published
- 2016-10-05
- Volume
- 3
- Issue
- 2
- Pages
- e9
- ISSN
- 2369-2529 (ISSN-L)
- PMC
- PMC5454558
- OpenAlex
- W2528440381
- Cited by
- 22
- References
- 4
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 6 · 2023: 4 · 2022: 1 · 2021: 2 · 2019: 2 · 2018: 2
- FWCI
- 1.43
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Rehabilitation and Assistive Technologies (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- Funders
- Microsoft Research
- University of Melbourne
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Keywords
- stroke, upper limb rehabilitation, wearable sensors, motion monitoring, web dashboard, patient engagement, activities of daily living, home exercise adherence, patient motivation, contextual information
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