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Lyckegård Finn E, Carlsson H, Ericson P, Åström K, Brogårdh C, Wasselius J. The use of accelerometer bracelets to evaluate arm motor function over a stroke rehabilitation period - an explorative observational study. J Neuroeng Rehabil 2024; 21:82. [PMID: 38769565 PMCID: PMC11103842 DOI: 10.1186/s12984-024-01381-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 05/10/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Assessments of arm motor function are usually based on clinical examinations or self-reported rating scales. Wrist-worn accelerometers can be a good complement to measure movement patterns after stroke. Currently there is limited knowledge of how accelerometry correlate to clinically used scales. The purpose of this study was therefore to evaluate the relationship between intermittent measurements of wrist-worn accelerometers and the patient's progression of arm motor function assessed by routine clinical outcome measures during a rehabilitation period. METHODS Patients enrolled in in-hospital rehabilitation following a stroke were invited. Included patients were asked to wear wrist accelerometers for 24 h at the start (T1) and end (T2) of their rehabilitation period. On both occasions arm motor function was assessed by the modified Motor Assessment Scale (M_MAS) and the Motor Activity Log (MAL). The recorded accelerometry was compared to M_MAS and MAL. RESULTS 20 patients were included, of which 18 completed all measurements and were therefore included in the final analysis. The resulting Spearman's rank correlation coefficient showed a strong positive correlation between measured wrist acceleration in the affected arm and M-MAS and MAL values at T1, 0.94 (p < 0.05) for M_MAS and 0.74 (p < 0.05) for the MAL values, and a slightly weaker positive correlation at T2, 0.57 (p < 0.05) for M_MAS and 0.46 - 0.45 (p = 0.06) for the MAL values. However, no correlation was seen for the difference between the two sessions. CONCLUSIONS The results confirm that the wrist acceleration can differentiate between the affected and non-affected arm, and that there is a positive correlation between accelerometry and clinical measures. Many of the patients did not change their M-MAS or MAL scores during the rehabilitation period, which may explain why no correlation was seen for the difference between measurements during the rehabilitation period. Further studies should include continuous accelerometry throughout the rehabilitation period to reduce the impact of day-to-day variability.
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Affiliation(s)
| | - Håkan Carlsson
- Department of Neurology, Rehabilitation Medicine, Memory Disorders and Geriatrics, Skåne University Hospital, Lund, Sweden
- Department of Health Sciences, Lund University, Lund, Sweden
| | | | - Kalle Åström
- Centre for Mathematical Sciences, Lund University, Lund, Sweden
| | - Christina Brogårdh
- Department of Neurology, Rehabilitation Medicine, Memory Disorders and Geriatrics, Skåne University Hospital, Lund, Sweden
- Department of Health Sciences, Lund University, Lund, Sweden
| | - Johan Wasselius
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, 221 85, Sweden.
- Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
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Celian C, Redd H, Smaller K, Ryali P, Patton JL, Reinkensmeyer DJ, Rafferty MR. Uncovering clinical rehabilitation technology trends: field observations, mixed methods analysis, and data visualization. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.05.24303809. [PMID: 38496469 PMCID: PMC10942504 DOI: 10.1101/2024.03.05.24303809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Objective To analyze real-world rehabilitation technology (RT) use, with a view toward enhancing RT development and adoption. Design A convergent, mixed-methods study using direct field observations, semi-structured templates, and summative content analysis. Setting Ten neurorehabilitation units in a single health system. Participants 3 research clinicians (1OT, 2PTs) observed ∼60 OTs and 70 PTs in inpatient; ∼18 OTs and 30 PTs in outpatient. Interventions Not applicable. Main Outcome Measures Characteristics of RT, time spent setting up and using RT, and clinician behaviors. Results 90 distinct devices across 15 different focus areas were inventoried. 329 RT-uses were documented over 44 hours with 42% of inventoried devices used. RT was used more during interventions (72%) than measurement (28%). Intervention devices used frequently were balance/gait (39%), strength/endurance (30%), and transfer/mobility training (16%). Measurement devices were frequently used to measure vitals (83%), followed by grip strength (7%), and upper extremity function (5%). Device characteristics were predominately AC-powered (56%), actuated (57%), monitor-less (53%), multi-use (68%), and required little familiarization (57%). Set-up times were brief (mean ± SD = 3.8±4.21 and 0.8±1.3 for intervention and measurement, respectively); more time was spent with intervention RT (25.6±15) than measurement RT (7.3±11.2). RT nearly always involved verbal instructions (72%) with clinicians providing more feedback on performance (59.7%) than on results (30%). Therapists' attention was split evenly between direct attention towards the patient during clinician treatment (49.7%) and completing other tasks such as documentation (50%). Conclusions Even in a tech-friendly hospital, majority of available RT were observed un-used, but identifying these usage patterns is crucial to predict eventual adoption of new designs from earlier stages of RT development. An interactive data visualization page supplement is provided to facilitate this study.
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Sharma Y, Cheung L, Patterson KK, Iaboni A. Factors influencing the clinical adoption of quantitative gait analysis technology with a focus on clinical efficacy and clinician perspectives: A scoping review. Gait Posture 2024; 108:228-242. [PMID: 38134709 DOI: 10.1016/j.gaitpost.2023.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 11/14/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023]
Abstract
INTRODUCTION Quantitative gait analysis (QGA) has the potential to support clinician decision-making. However, it is not yet widely accepted in practice. Evidence for clinical efficacy (i.e., efficacy and effectiveness), as well as a users' perspective on using the technology in clinical practice (e.g., ease of use and usefulness) can help impact their widespread adoption. OBJECTIVE To synthesize the literature on the clinical efficacy and clinician perspectives on the use of gait analysis technologies in the clinical care of adult populations. METHODS This scoping review followed the Joanna Briggs Institute (JBI) methodology for scoping reviews. We included peer-reviewed and gray literature (i.e., conference abstracts). A search was conducted in MEDLINE (Ovid), CENTRAL (Ovid), EMBASE (Ovid), CINAHL (EBSCO) and SPORTDiscus (EBSCO). Included full-text studies were critically appraised using the JBI critical appraisal tools. RESULTS A total of 15 full-text studies and two conference abstracts were included in this review. Results suggest that QGA technologies can influence decision-making with some evidence to suggest their role in improving patient outcomes. The main barrier to ease of use was a clinician's lack of data expertise, and main facilitator was receiving support from staff. Barriers to usefulness included challenges finding suitable reference data and data accuracy, while facilitators were enhancing patient care and supporting clinical decision-making. SIGNIFICANCE This review is the first step to understanding how QGA technologies can optimize clinical practice. Many gaps in the literature exist and reveal opportunities to improve the clinical adoption of gait analysis technologies. Further research is needed in two main areas: 1) examining the clinical efficacy of gait analysis technologies and 2) gathering clinician perspectives using a theoretical model like the Technology Acceptance Model to guide study design. Results will inform research aimed at evaluating, developing, or implementing these technologies. FUNDING This work was supported by the Walter and Maria Schroeder Institute for Brain Innovation and Recovery and AGE-WELL Graduate Student Award in Technology and Aging [2021,2022].
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Affiliation(s)
- Yashoda Sharma
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, 500 University Avenue, M5G 1V7 Toronto, ON, Canada; KITE - Toronto Rehabilitation Institute, University Health Network, Toronto, 550 University Avenue, M5G 2A2 Toronto, ON, Canada
| | - Lovisa Cheung
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, 500 University Avenue, M5G 1V7 Toronto, ON, Canada; KITE - Toronto Rehabilitation Institute, University Health Network, Toronto, 550 University Avenue, M5G 2A2 Toronto, ON, Canada; Department of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, 500 University Avenue, M5G 1V7 Toronto, ON, Canada
| | - Kara K Patterson
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, 500 University Avenue, M5G 1V7 Toronto, ON, Canada; KITE - Toronto Rehabilitation Institute, University Health Network, Toronto, 550 University Avenue, M5G 2A2 Toronto, ON, Canada; Department of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, 500 University Avenue, M5G 1V7 Toronto, ON, Canada
| | - Andrea Iaboni
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, 500 University Avenue, M5G 1V7 Toronto, ON, Canada; KITE - Toronto Rehabilitation Institute, University Health Network, Toronto, 550 University Avenue, M5G 2A2 Toronto, ON, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, 250 College Street, M5T 1R8 Toronto, ON, Canada.
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Signal N, Olsen S, Rashid U, McLaren R, Vandal A, King M, Taylor D. Haptic Nudging Using a Wearable Device to Promote Upper Limb Activity during Stroke Rehabilitation: Exploring Diurnal Variation, Repetition, and Duration of Effect. Behav Sci (Basel) 2023; 13:995. [PMID: 38131851 PMCID: PMC10740938 DOI: 10.3390/bs13120995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 11/15/2023] [Accepted: 11/27/2023] [Indexed: 12/23/2023] Open
Abstract
Haptic nudging via wearable devices promotes physical activity and may increase upper limb movement in stroke rehabilitation. This study investigated the optimal approach to haptic nudging by examining diurnal variation, duration of effect, and repeated nudging. The study analysed data from a multiple-period randomised crossover study. A 12 h inpatient rehabilitation day was divided into 72 intervals in which participants with stroke (n = 20) randomly received either a 'nudge' or 'no nudge'. Upper limb movement was observed, classified, and analysed using longitudinal mixed models. The odds of affected upper limb movement following a nudge compared with no nudge were significantly higher during active periods such as breakfast, lunch, and morning and afternoon activities (odds ratios (ORs) 2.01-4.63, 95% CIs [1.27-2.67, 3.17-8.01]), but not dinner (OR 1.36, 95% CI [0.86, 2.16]). The effect of nudging was no longer statistically significant at 50-60 s post-nudge. Consecutive delays in nudging significantly decreased the odds of moving when a nudge was eventually delivered. Contrary to expectations, people with stroke appear more responsive to haptic nudging during active periods rather than periods of inactivity. By understanding the optimal timing and frequency of haptic nudging, the design of wearable devices can be optimised to maximise their therapeutic benefits.
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Affiliation(s)
- Nada Signal
- Health and Rehabilitation Research Institute, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand; (N.S.)
| | - Sharon Olsen
- Health and Rehabilitation Research Institute, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand; (N.S.)
| | - Usman Rashid
- Health and Rehabilitation Research Institute, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand; (N.S.)
- Centre for Chiropractic Research, New Zealand College of Chiropractic, Auckland 1060, New Zealand
| | - Ruth McLaren
- Health and Rehabilitation Research Institute, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand; (N.S.)
| | - Alain Vandal
- Department of Statistics, University of Auckland, 38 Princes Street, Auckland 1010, New Zealand;
| | - Marcus King
- Callaghan Innovation, 5 Sheffield Crescent, Burnside, Christchurch 8053, New Zealand
| | - Denise Taylor
- Health and Rehabilitation Research Institute, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand; (N.S.)
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Nguyen G, King K, Stirling L. Telerehabilitation use and experiences in occupational and physical therapy through the early stages of the COVID-19 pandemic. PLoS One 2023; 18:e0291605. [PMID: 37939089 PMCID: PMC10631673 DOI: 10.1371/journal.pone.0291605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 08/31/2023] [Indexed: 11/10/2023] Open
Abstract
Telehealth has helped to increase access to rehabilitative services such as occupational and physical therapy. The early COVID-19 pandemic amplified the need for remote access to care, and the rapid implementation of telehealth systems provided a unique opportunity to learn from clinicians' experiences adopting telehealth for telerehabilitation applications. To understand these experiences, a self-administered online survey was conducted to capture perspectives on ease of telerehabilitation use and adoption from occupational and physical therapists. The survey captured retrospective views on telerehabilitation use pre-pandemic as well as real-time perspectives on telerehabilitation during the early stages of the pandemic (July to August 2020). The survey gathered information on clinician demographics (N = 109), clinicians' experiences with adopting or utilizing telerehabilitation systems, and their perceptions on remotely performing cognitive, emotional, and physical assessments via video-conferencing (a common mode of telehealth). Responses demonstrated a modest increase in telerehabilitation as a care setting (rate increase from 3.4% to 19.3%), and telerehabilitation was more generally tried during the early stages of the pandemic (41 clinicians explicitly reported telerehabilitation use). However, technology access and acceptance remained low, with 38 clinicians (35%) expressing concerns that technology was ineffective or impractical, unavailable, not covered by insurance, or not desired by their patients. Video-conferencing technology was perceived as generally ill-equipped to support clinicians in performing remote assessment tasks. Physical assessment tasks were considered particularly difficult, with 55% of clinicians rating their ability to perform these tasks in the range of moderately difficult to unable to perform. To address these difficulties and better augment clinical care, clinicians require more robust assessment methods that may combine video, mobile, and wearable technologies that would be accessible to a patient at home. When designing future telerehabilitation tools, information captured through these modes must be task-relevant, standardized, and understandable to a remote clinician.
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Affiliation(s)
- Golda Nguyen
- Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Katelyn King
- Department of Biomedical Engineering, Department of Robotics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Leia Stirling
- Department of Industrial and Operations Engineering, Department of Robotics, University of Michigan, Ann Arbor, Michigan, United States of America
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Mazzeo M, Hernan G, Veerubhotla A. Usability and ease of use of long-term remote monitoring of physical activity for individuals with acquired brain injury in community: a qualitative analysis. Front Neurosci 2023; 17:1220581. [PMID: 37781244 PMCID: PMC10534037 DOI: 10.3389/fnins.2023.1220581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 08/23/2023] [Indexed: 10/03/2023] Open
Abstract
Introduction Objective and continuous monitoring of physical activity over the long-term in the community is perhaps the most important step in the paradigm shift toward evidence-based practice and personalized therapy for successful community integration. With the advancement in technology, physical activity monitors have become the go-to tools for objective and continuous monitoring of everyday physical activity in the community. While these devices are widely used in many patient populations, their use in individuals with acquired brain injury is slowly gaining traction. The first step before using activity monitors in this population is to understand the patient perspective on usability and ease of use of physical activity monitors at different wear locations. However, there are no studies that have looked at the feasibility and patient perspectives on long-term utilization of activity monitors in individuals with acquired brain injury. Methods This pilot study aims to fill this gap and understand patient-reported aspects of the feasibility of using physical activity monitors for long-term use in community-dwelling individuals with acquired brain injury. Results This pilot study found that patients with acquired brain injury faced challenges specific to their functional limitations and that the activity monitors worn on the waist or wrist may be better suited in this population. Discussion The unique wear location-specific challenges faced by individuals with ABI need to be taken into account when selecting wearable activity monitors for long term use in this population.
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Affiliation(s)
| | | | - Akhila Veerubhotla
- Department of Rehabilitation Medicine, New York University - Grossman School of Medicine, New York, NY, United States
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Al-Arkee S, Mason J, Lindenmeyer A, Jalal Z. Pharmacist management of atrial fibrillation in UK primary care: a qualitative study. J Pharm Policy Pract 2022; 15:98. [PMID: 36494739 PMCID: PMC9733171 DOI: 10.1186/s40545-022-00486-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 11/08/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Atrial fibrillation (AF) affects up to 2% of the UK population. AF is a potentially long-term condition that needs management, and as such primary care pharmacists may have a substantial role in supporting the management of AF. OBJECTIVES This study aims to explore the role of primary care pharmacists, working in community pharmacies and general practices (GPs), in supporting the management of AF. Furthermore, this study investigates pharmacists' confidence in their knowledge and their attitudes towards incorporating AF-associated mobile apps use into their current practice. METHODS A qualitative study was conducted, using one-to-one semi-structured, audio-recorded interviews with primary care pharmacists. The topic guide was developed based on pharmacy visits and included the most relevant constructs from the 'consolidated framework for implementation research (CFIR)'. All interviews were audio-recorded, transcribed verbatim and thematically analysed until saturation was achieved, guided by Braun and Clarke's 6-step research method. This study was given a favourable opinion on 5 September 2019 by the University of Birmingham (UOB) Research Ethics Committee (Reference ERN_19-0908). RESULTS Thematic saturation was achieved after 11 interviews with primary care pharmacists (seven community pharmacists, and four GP pharmacists). Three main themes emerged relating to (1) the clinical role of pharmacists in the management of AF; (2) knowledge and awareness; and (3) prioritisation of resources. The first highlighted that primary care pharmacists were an underutilised resource within AF management. The second demonstrated that pharmacists, especially those based in the community, felt a lack of confidence in their knowledge of AF and its management, mainly community pharmacists due to other roles taking precedence over clinical roles. Both community and GP pharmacists expressed the need to have further training in this therapeutic area to be able to effectively support patients with AF. The third shed light on the pharmacists' views relating to the technological revolution in healthcare. Pharmacists expressed an interest in using apps to support their current practice. CONCLUSIONS Primary care pharmacists supported an extended care to AF management from screening to consultations, yet the provision of such services remains limited and inconsistent. Future research should focus on understanding the ways in which pharmacists' role can be adapted toward greater involvement in clinical care.
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Affiliation(s)
- Shahd Al-Arkee
- grid.6572.60000 0004 1936 7486Institute of Clinical Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Julie Mason
- grid.6572.60000 0004 1936 7486Institute of Clinical Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Antje Lindenmeyer
- grid.6572.60000 0004 1936 7486Institute of Clinical Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Zahraa Jalal
- grid.6572.60000 0004 1936 7486Institute of Clinical Sciences, University of Birmingham, Birmingham, United Kingdom
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Seim CE, Ritter B, Starner TE, Flavin K, Lansberg MG, Okamura AM. Design of a wearable vibrotactile stimulation device for individuals with upper-limb hemiparesis and spasticity. IEEE Trans Neural Syst Rehabil Eng 2022; 30:1277-1287. [PMID: 35552152 PMCID: PMC10139869 DOI: 10.1109/tnsre.2022.3174808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Vibratory stimulation may improve post-stroke symptoms such as spasticity; however, current studies are limited by the large, clinic-based apparatus used to apply this stimulation. A wearable device could provide vibratory stimulation in a mobile form, enabling further study of this technique. An initial device, the vibrotactile stimulation (VTS) Glove, was deployed in an eight-week clinical study in which sixteen individuals with stroke used the device for several hours daily. Participants reported wearing the glove during activities such as church, social events, and dining out. However, 69% of participants struggled to extend or insert their fingers to don the device. In a follow-up study, eight individuals with stroke evaluated new VTS device prototypes in a three-round iterative design study with the aims of creating the next generation of VTS devices and understanding features that influence interaction with a wearable device by individuals with impaired upper-limb function. Interviews and interaction tasks were used to define actionable design revisions between each round of evaluation. Our analysis identified six new themes from participants regarding device designs: hand supination is challenging, separate finger attachments inhibit fit and use, fingers may be flexed or open, fabric coverage impacts comfort, a reduced concern for social comfort, and the affected hand is infrequently used. Straps that wrap around the arm and fixtures on the anterior arm were other challenging features. We discuss potential accommodations for these challenges, as well as social comfort. New VTS device designs are presented and were donned in an average time of 48 seconds.
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Braakhuis HEM, Berger MAM, Regterschot RGRH, van Wegen EEH, Selles RW, Ribbers GM, Bussmann JBJ. Physical activity dimensions after stroke: patterns and relation with lower limb motor function. J Neuroeng Rehabil 2021; 18:171. [PMID: 34895265 PMCID: PMC8666008 DOI: 10.1186/s12984-021-00960-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 11/19/2021] [Indexed: 11/17/2022] Open
Abstract
Background Stroke survivors show deteriorated physical functioning and physical activity levels. Physical activity levels of stroke survivors are generally low. It is increasingly recognized that physical activity is a multidimensional construct that cannot be captured in a single outcome. In-depth insight into multidimensional physical activity patterns may guide the development and timing of targeted rehabilitation interventions. This longitudinal cohort study explored how multidimensional physical activity outcomes develop during recovery in the subacute phase after stroke and if changes in physical activity were correlated to recovery of lower limb motor function. Methods Patients were recruited during inpatient rehabilitation. At 3, 12, and 26 weeks post-onset, motor function was measured by the Fugl-Meyer Lower Extremity Assessment (FMA-LE). Physical activity was measured with the Activ8 accelerometer in multiple outcomes: counts per minute during walking (CPMwalking; a measure of Intensity), number of active bouts (Frequency), mean length of active bouts (Distribution) and % of waking time in upright positions (Duration). Generalized estimating equations (GEE) were used to study changes in physical activity over time and the relation with the change in lower limb motor recovery. Results Thirty-nine patients (age 56 ± 9, 77% male, 89% ischemic stroke) were included. GEE models showed a significant main effect of time for PA Intensity (+ 13%, p = 0.007) and Duration (+ 64%, p = 0.012) between 3 and 12 weeks. Motor function did not show a significant effect in all PA models across the 3 timepoints (p > 0.020). A significant interaction effect of time × motor function was observed (p < 0.001). Conclusions Patterns of PA recovery depend on the PA dimensions: PA Intensity and Duration increased mostly between 3 and 12 weeks post-stroke, whereas Frequency and Distribution did not show substantial changes. Further, no strong associations with motor recovery and high inter-individual variability were documented, which underlies the need to consider factors specific to the disease, the individual patient and the context.
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Affiliation(s)
- Hanneke E M Braakhuis
- Department of Rehabilitation Medicine and Physical Therapy, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands. .,Rijndam Rehabilitation, Rotterdam, The Netherlands. .,Faculty of Health, Nutrition and Sport, The Hague University of Applied Sciences, The Hague, The Netherlands.
| | - Monique A M Berger
- Faculty of Health, Nutrition and Sport, The Hague University of Applied Sciences, The Hague, The Netherlands
| | - Ruben G R H Regterschot
- Department of Rehabilitation Medicine and Physical Therapy, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.,Department of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands
| | - Erwin E H van Wegen
- Department of Rehabilitation Medicine, Amsterdam Neuroscience and Amsterdam Movement Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ruud W Selles
- Department of Rehabilitation Medicine and Physical Therapy, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.,Department of Plastic and Reconstructive Surgery, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Gerard M Ribbers
- Department of Rehabilitation Medicine and Physical Therapy, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.,Rijndam Rehabilitation, Rotterdam, The Netherlands
| | - Johannes B J Bussmann
- Department of Rehabilitation Medicine and Physical Therapy, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.,Rijndam Rehabilitation, Rotterdam, The Netherlands
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Simpson LA, Menon C, Hodgson AJ, Ben Mortenson W, Eng JJ. Clinicians' perceptions of a potential wearable device for capturing upper limb activity post-stroke: a qualitative focus group study. J Neuroeng Rehabil 2021; 18:135. [PMID: 34496894 PMCID: PMC8425094 DOI: 10.1186/s12984-021-00927-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Accepted: 08/23/2021] [Indexed: 11/10/2022] Open
Abstract
Background There is growing interest in the use of wearable devices that track upper limb activity after stroke to help determine and motivate the optimal dose of upper limb practice. The purpose of this study was to explore clinicians’ perceptions of a prospective wearable device that captures upper limb activity to assist in the design of devices for use in rehabilitation practice. Methods Four focus groups with 18 clinicians (occupational and physical therapists with stroke practice experience from a hospital or private practice setting) were conducted. Data were analyzed thematically. Results Our analysis revealed three themes: (1) “Quantity and quality is ideal” emphasized how an ideal device would capture both quantity and quality of movement; (2) “Most useful outside therapy sessions” described how therapists foresaw using the device outside of therapy sessions to monitor homework adherence, provide self-monitoring of use, motivate greater use and provide biofeedback on movement quality; (3) “User-friendly please” advocated for the creation of a device that was easy to use and customizable, which reflected the client-centered nature of their treatment. Conclusions Findings from this study suggest that clinicians support the development of wearable devices that capture upper limb activity outside of therapy for individuals with some reach to grasp ability. Devices that are easy to use and capture both quality and quantity may result in greater uptake in the clinical setting. Future studies examining acceptability of wearable devices for tracking upper limb activity from the perspective of individuals with stroke are needed. Supplementary Information The online version contains supplementary material available at 10.1186/s12984-021-00927-y.
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Affiliation(s)
- Lisa A Simpson
- Graduate Program in Rehabilitation Sciences, University of British Columbia, Vancouver, Canada
| | - Carlo Menon
- Biomedical and Mobile Health Technology Laboratory, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Antony J Hodgson
- Department of Mechanical Engineering, University of British Columbia, Vancouver, Canada
| | - W Ben Mortenson
- Department of Occupational Sciences and Occupational Therapy, University of British Columbia, Vancouver, Canada
| | - Janice J Eng
- Department of Physical Therapy, University of British Columbia, 212-2177 Wesbrook Mall, Vancouver, BC, V6T 1Z3, Canada.
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Torriani-Pasin C, Demers M, Polese JC, Bishop L, Wade E, Hempel S, Winstein C. mHealth technologies used to capture walking and arm use behavior in adult stroke survivors: a scoping review beyond measurement properties. Disabil Rehabil 2021; 44:6094-6106. [PMID: 34297652 DOI: 10.1080/09638288.2021.1953623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
PURPOSE We aimed to provide a critical review of measurement properties of mHealth technologies used for stroke survivors to measure the amount and intensity of functional skills, and to identify facilitators and barriers toward adoption in research and clinical practice. MATERIALS AND METHODS Using Arksey and O'Malley's framework, two independent reviewers determined eligibility and performed data extraction. We conducted an online consultation survey exercise with 37 experts. RESULTS Sixty-four out of 1380 studies were included. A majority reported on lower limb behavior (n = 32), primarily step count (n = 21). Seventeen studies reported on arm-hand behaviors. Twenty-two studies reported metrics of intensity, 10 reported on energy expenditure. Reliability and validity were the most frequently reported properties, both for commercial and non-commercial devices. Facilitators and barriers included: resource costs, technical aspects, perceived usability, and ecological legitimacy. Two additional categories emerged from the survey: safety and knowledge, attitude, and clinical skill. CONCLUSIONS This provides an initial foundation for a field experiencing rapid growth, new opportunities and the promise that mHealth technologies affords for envisioning a better future for stroke survivors. We synthesized findings into a set of recommendations for clinicians and clinician-scientists about how best to choose mHealth technologies for one's individual objective.Implications for RehabilitationRehabilitation professionals are encouraged to consider the measurement properties of those technologies that are used to monitor functional locomotor and object-interaction skills in the stroke survivors they serve.Multi-modal knowledge translation strategies (research synthesis, educational courses or videos, mentorship from experts, etc.) are available to rehabilitation professionals to improve knowledge, attitude, and skills pertaining to mHealth technologies.Consider the selection of commercially available devices that are proven to be valid, reliable, accurate, and responsive to the targeted clinical population.Consider usability and privacy, confidentiality and safety when choosing a specific device or smartphone application.
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Affiliation(s)
- Camila Torriani-Pasin
- School of Physical Education and Sport, University of São Paulo, São Paulo, Brazil.,Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA
| | - Marika Demers
- Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA
| | - Janaine C Polese
- Department of Physiotherapy, Faculdade Ciências Médicas de Minas Gerais, Belo Horizonte, Brazil
| | - Lauri Bishop
- Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA
| | - Eric Wade
- Department of Mechanical Engineering, California Polytechnic State University, San Luis Obispo, CA, USA
| | - Susanne Hempel
- Southern California Evidence Review Center, University of Southern California, Los Angeles, CA, USA
| | - Carolee Winstein
- Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA.,Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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12
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Braakhuis HEM, Bussmann JBJ, Ribbers GM, Berger MAM. Wearable Activity Monitoring in Day-to-Day Stroke Care: A Promising Tool but Not Widely Used. SENSORS 2021; 21:s21124066. [PMID: 34204824 PMCID: PMC8231529 DOI: 10.3390/s21124066] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 06/07/2021] [Accepted: 06/09/2021] [Indexed: 12/22/2022]
Abstract
Physical activity monitoring with wearable technology has the potential to support stroke rehabilitation. Little is known about how physical therapists use and value the use of wearable activity monitors. This cross-sectional study explores the use, perspectives, and barriers to wearable activity monitoring in day-to-day stroke care routines amongst physical therapists. Over 300 physical therapists in primary and geriatric care and rehabilitation centers in the Netherlands were invited to fill in an online survey that was developed based on previous studies and interviews with experts. In total, 103 complete surveys were analyzed. Out of the 103 surveys, 27% of the respondents were already using activity monitoring. Of the suggested treatment purposes of activity monitoring, 86% were perceived as useful by more than 55% of the therapists. The most recognized barriers to clinical implementation were lack of skills and knowledge of patients (65%) and not knowing what brand and type of monitor to choose (54%). Of the non-users, 79% were willing to use it in the future. In conclusion, although the concept of remote activity monitoring was perceived as useful, it was not widely adopted by physical therapists involved in stroke care. To date, skills, beliefs, and attitudes of individual therapists determine the current use of wearable technology.
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Affiliation(s)
- Hanneke E. M. Braakhuis
- Department of Rehabilitation Medicine, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands; (J.B.J.B.); (G.M.R.)
- Faculty of Health, Nutrition and Sport, The Hague University of Applied Sciences, 2521 EN The Hague, The Netherlands;
- Rijndam Rehabilitation, 3015 LJ Rotterdam, The Netherlands
- Correspondence:
| | - Johannes B. J. Bussmann
- Department of Rehabilitation Medicine, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands; (J.B.J.B.); (G.M.R.)
- Rijndam Rehabilitation, 3015 LJ Rotterdam, The Netherlands
| | - Gerard M. Ribbers
- Department of Rehabilitation Medicine, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands; (J.B.J.B.); (G.M.R.)
- Rijndam Rehabilitation, 3015 LJ Rotterdam, The Netherlands
| | - Monique A. M. Berger
- Faculty of Health, Nutrition and Sport, The Hague University of Applied Sciences, 2521 EN The Hague, The Netherlands;
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13
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Hamilton C, Lovarini M, van den Berg M, McCluskey A, Hassett L. Usability of affordable feedback-based technologies to improve mobility and physical activity in rehabilitation: a mixed methods study. Disabil Rehabil 2021; 44:4029-4038. [PMID: 33645384 DOI: 10.1080/09638288.2021.1884904] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
PURPOSE To explore physiotherapists' views on the usability of feedback-based technologies used in physical rehabilitation. MATERIALS AND METHODS A mixed methods study which was nested within a randomised controlled trial to investigate the effectiveness of affordable feedback-based technologies to improve mobility and physical activity within aged care and neurological rehabilitation. Technologies included virtual reality systems, handheld device apps and wearable devices. Physiotherapists (n = 11) who were involved in prescribing technologies during the trial rated the usability of 11 different devices using the System Usability Scale (SUS), then attended a focus group. Descriptive statistics and framework analysis were used for analysis. RESULTS Fitbit devices (mean 89.8, SD 9.3), Fysiogaming (mean 75.6, SD 15.3) and Xbox Kinect (mean 75.5, SD 11.2) rated in the acceptable range (>70) on the SUS. Three key factors on usability emerged from the focus groups: (1) Key device features relating to practicalities (ease of set up and use, reliability, safety) and therapeutic benefit (customisation, high active practice time, useful feedback) are important for usability; (2) Usability depends on the context of use; and (3) Usability can be enhanced with technical, clinical, environmental and financial support. CONCLUSIONS Health service managers and clinicians should consider key device features identified, contextual factors of their service, and supports available when selecting technologies for use in clinical practice. Further collaboration between clinicians, researchers and technology developers would benefit future technology development, particularly taking into consideration the identified key device features from this study.IMPLICATIONS FOR REHABILITATIONTechnology selection should be based on key device features relating to both practicalities and therapeutic benefit.Contextual factors and available supports should also be considered when selecting technologies.Key usability features identified in this study such as ease of set up, reliability and customisability should be considered in the design of future feedback-based technologies to optimise usability in physical rehabilitation.
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Affiliation(s)
- Caitlin Hamilton
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Meryl Lovarini
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Maayken van den Berg
- Clinical Rehabilitation, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Annie McCluskey
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.,The StrokeEd Collaboration, Sydney, Australia
| | - Leanne Hassett
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.,Institute for Musculoskeletal Health, The University of Sydney/Sydney Local Health, Sydney, Australia.,Ingham Institute for Applied Medical Research, South Western Sydney Local Health District, Liverpool, Australia
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14
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Leroux A, Rzasa-Lynn R, Crainiceanu C, Sharma T. Wearable Devices: Current Status and Opportunities in Pain Assessment and Management. Digit Biomark 2021; 5:89-102. [PMID: 34056519 PMCID: PMC8138140 DOI: 10.1159/000515576] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 03/01/2021] [Indexed: 12/17/2022] Open
Abstract
INTRODUCTION We investigated the possibilities and opportunities for using wearable devices that measure physical activity and physiometric signals in conjunction with ecological momentary assessment (EMA) data to improve the assessment and treatment of pain. METHODS We considered studies with cross-sectional and longitudinal designs as well as interventional or observational studies correlating pain scores with measures derived from wearable devices. A search was also performed on studies that investigated physical activity and physiometric signals among patients with pain. RESULTS Few studies have assessed the possibility of incorporating wearable devices as objective tools for contextualizing pain and physical function in free-living environments. Of the studies that have been conducted, most focus solely on physical activity and functional outcomes as measured by a wearable accelerometer. Several studies report promising correlations between pain scores and signals derived from wearable devices, objectively measured physical activity, and physical function. In addition, there is a known association between physiologic signals that can be measured by wearable devices and pain, though studies using wearable devices to measure these signals and associate them with pain in free-living environments are limited. CONCLUSION There exists a great opportunity to study the complex interplay between physiometric signals, physical function, and pain in a real-time fashion in free-living environments. The literature supports the hypothesis that wearable devices can be used to develop reproducible biosignals that correlate with pain. The combination of wearable devices and EMA will likely lead to the development of clinically meaningful endpoints that will transform how we understand and treat pain patients.
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Affiliation(s)
- Andrew Leroux
- Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado, USA
| | - Rachael Rzasa-Lynn
- Department of Anesthesiology, University of Colorado, Aurora, Colorado, USA
| | - Ciprian Crainiceanu
- Department of Biostatistics, Johns Hopkins University, Baltimore, Maryland, USA
| | - Tushar Sharma
- Department of Anesthesiology, University of Colorado, Aurora, Colorado, USA
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15
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Lang CE, Barth J, Holleran CL, Konrad JD, Bland MD. Implementation of Wearable Sensing Technology for Movement: Pushing Forward into the Routine Physical Rehabilitation Care Field. SENSORS (BASEL, SWITZERLAND) 2020; 20:E5744. [PMID: 33050368 PMCID: PMC7601835 DOI: 10.3390/s20205744] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 10/06/2020] [Accepted: 10/08/2020] [Indexed: 01/01/2023]
Abstract
While the promise of wearable sensor technology to transform physical rehabilitation has been around for a number of years, the reality is that wearable sensor technology for the measurement of human movement has remained largely confined to rehabilitation research labs with limited ventures into clinical practice. The purposes of this paper are to: (1) discuss the major barriers in clinical practice and available wearable sensing technology; (2) propose benchmarks for wearable device systems that would make it feasible to implement them in clinical practice across the world and (3) evaluate a current wearable device system against the benchmarks as an example. If we can overcome the barriers and achieve the benchmarks collectively, the field of rehabilitation will move forward towards better movement interventions that produce improved function not just in the clinic or lab, but out in peoples' homes and communities.
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Affiliation(s)
- Catherine E. Lang
- Program in Physical Therapy, Washington University School of Medicine, St. Louis, MO 63122, USA; (J.B.); (C.L.H.); (J.D.K.); (M.D.B.)
- Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO 63122, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63122, USA
| | - Jessica Barth
- Program in Physical Therapy, Washington University School of Medicine, St. Louis, MO 63122, USA; (J.B.); (C.L.H.); (J.D.K.); (M.D.B.)
| | - Carey L. Holleran
- Program in Physical Therapy, Washington University School of Medicine, St. Louis, MO 63122, USA; (J.B.); (C.L.H.); (J.D.K.); (M.D.B.)
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63122, USA
| | - Jeff D. Konrad
- Program in Physical Therapy, Washington University School of Medicine, St. Louis, MO 63122, USA; (J.B.); (C.L.H.); (J.D.K.); (M.D.B.)
| | - Marghuretta D. Bland
- Program in Physical Therapy, Washington University School of Medicine, St. Louis, MO 63122, USA; (J.B.); (C.L.H.); (J.D.K.); (M.D.B.)
- Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO 63122, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63122, USA
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