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Cardy N, Hunter A, Carter D, O’Donoghue M, Carvalho M, Carr E, Walsh JC, Bernhardt J, Fitzsimons C, Richardson I, Salsberg J, Glynn L, Walsh C, O’Driscoll E, Boland P, Cunningham N, Forbes J, Galvin R, Hayes S. Perspectives of People with Stroke, Caregivers and Healthcare Professionals on an Adaptive mHealth Intervention for Physical Activity in the Prevention of Secondary Stroke: A Qualitative Study. J Multidiscip Healthc 2024; 17:2677-2688. [PMID: 38831803 PMCID: PMC11146341 DOI: 10.2147/jmdh.s420530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 04/09/2024] [Indexed: 06/05/2024] Open
Abstract
Introduction Engaging in regular physical activity (PA) is associated with lower mortality following stroke, and PA reduces the chance of recurrent stroke. Despite recent guidelines to optimise PA following stroke, people with stroke are known to be less active than their age-matched counterparts. Given the heterogenous nature of stroke, adaptive PA interventions are recommended for people with stroke. Empirical data is lacking on adaptive PA or behavioural change interventions following stroke. Suggested strategies in the prevention of stroke recommend the use of mobile health (mHealth) interventions in the primary prevention of stroke. A structured stakeholder consultation process is key to successful implementation of complex interventions. This paper reports the findings of our consultation process to inform the development of an adaptive mHealth PA. Methods We used a qualitative study design to explore the perspectives of key stakeholders on the development of an adaptive PA intervention delivered via mHealth post-stroke. Healthcare workers, carers and people with stroke participated in semi-structured one-to-one or focus group interviews. A reflexive thematic analysis was undertaken on transcribed interviews; key themes and sub-themes were developed using coding and summarised by two researchers, then reviewed by the full research team. Results Twenty-eight stakeholders were interviewed and three main themes were identified; Key feature of a mHealth intervention, delivering a mHealth intervention, Challenges to development and use. There was widespread agreement across stakeholder groups that an adaptive mHealth PA intervention following stroke would be beneficial to people with stroke, following discharge from acute care. Conclusion Our consultation supports the development of an adaptive PA programme that addresses specific impairments that can hinder exercise participation after stroke.
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Affiliation(s)
- Nathan Cardy
- School of Allied Health, Ageing Research Centre, Health Research Institute, University of Limerick, Limerick, Ireland
| | - Andrew Hunter
- School of Nursing and Midwifery, University of Galway, Galway, Ireland
| | - Daniel Carter
- School of Allied Health, Ageing Research Centre, Health Research Institute, University of Limerick, Limerick, Ireland
| | - Mairead O’Donoghue
- School of Allied Health, Ageing Research Centre, Health Research Institute, University of Limerick, Limerick, Ireland
| | | | - Emma Carr
- School of Allied Health, Ageing Research Centre, Health Research Institute, University of Limerick, Limerick, Ireland
| | - Jane C Walsh
- School of Psychology, University of Galway, Galway, Ireland
| | - Julie Bernhardt
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Victoria, Australia
| | - Claire Fitzsimons
- Physical Activity for Health Research Centre, Institute Sport, Physical Education and Health Sciences, University of Edinburgh, Edinburgh, Scotland
| | - Ita Richardson
- Department of Computer Science and Information Systems, University of Limerick, Limerick, Ireland
| | - Jon Salsberg
- School of Medicine, University of Limerick, Limerick, Ireland
| | - Liam Glynn
- School of Medicine, University of Limerick, Limerick, Ireland
| | - Cathal Walsh
- School of Medicine, Trinity College Dublin, Dublin, Ireland
| | | | - Pauline Boland
- School of Allied Health, Ageing Research Centre, Health Research Institute, University of Limerick, Limerick, Ireland
| | | | - John Forbes
- School of Medicine, University of Limerick, Limerick, Ireland
| | - Rose Galvin
- School of Allied Health, Ageing Research Centre, Health Research Institute, University of Limerick, Limerick, Ireland
| | - Sara Hayes
- School of Allied Health, Ageing Research Centre, Health Research Institute, University of Limerick, Limerick, Ireland
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Gooch HJ, Jarvis KA, Stockley RC. Behavior Change Approaches in Digital Technology-Based Physical Rehabilitation Interventions Following Stroke: Scoping Review. J Med Internet Res 2024; 26:e48725. [PMID: 38656777 PMCID: PMC11079774 DOI: 10.2196/48725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 11/14/2023] [Accepted: 12/26/2023] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Digital health technologies (DHTs) are increasingly used in physical stroke rehabilitation to support individuals in successfully engaging with the frequent, intensive, and lengthy activities required to optimize recovery. Despite this, little is known about behavior change within these interventions. OBJECTIVE This scoping review aimed to identify if and how behavior change approaches (ie, theories, models, frameworks, and techniques to influence behavior) are incorporated within physical stroke rehabilitation interventions that include a DHT. METHODS Databases (Embase, MEDLINE, PsycINFO, CINAHL, Cochrane Library, and AMED) were searched using keywords relating to behavior change, DHT, physical rehabilitation, and stroke. The results were independently screened by 2 reviewers. Sources were included if they reported a completed primary research study in which a behavior change approach could be identified within a physical stroke rehabilitation intervention that included a DHT. Data, including the study design, DHT used, and behavior change approaches, were charted. Specific behavior change techniques were coded to the behavior change technique taxonomy version 1 (BCTTv1). RESULTS From a total of 1973 identified sources, 103 (5%) studies were included for data charting. The most common reason for exclusion at full-text screening was the absence of an explicit approach to behavior change (165/245, 67%). Almost half (45/103, 44%) of the included studies were described as pilot or feasibility studies. Virtual reality was the most frequently identified DHT type (58/103, 56%), and almost two-thirds (65/103, 63%) of studies focused on upper limb rehabilitation. Only a limited number of studies (18/103, 17%) included a theory, model, or framework for behavior change. The most frequently used BCTTv1 clusters were feedback and monitoring (88/103, 85%), reward and threat (56/103, 54%), goals and planning (33/103, 32%), and shaping knowledge (33/103, 32%). Relationships between feedback and monitoring and reward and threat were identified using a relationship map, with prominent use of both of these clusters in interventions that included virtual reality. CONCLUSIONS Despite an assumption that DHTs can promote engagement in rehabilitation, this scoping review demonstrates that very few studies of physical stroke rehabilitation that include a DHT overtly used any form of behavior change approach. From those studies that did consider behavior change, most did not report a robust underpinning theory. Future development and research need to explicitly articulate how including DHTs within an intervention may support the behavior change required for optimal engagement in physical rehabilitation following stroke, as well as establish their effectiveness. This understanding is likely to support the realization of the transformative potential of DHTs in stroke rehabilitation.
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Affiliation(s)
- Helen J Gooch
- Stroke Research Team, School of Nursing and Midwifery, University of Central Lancashire, Preston, United Kingdom
| | - Kathryn A Jarvis
- Stroke Research Team, School of Nursing and Midwifery, University of Central Lancashire, Preston, United Kingdom
| | - Rachel C Stockley
- Stroke Research Team, School of Nursing and Midwifery, University of Central Lancashire, Preston, United Kingdom
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Paterson S, Dawes H, Winward C, Bartram E, Dodds E, McKinon J, Gaskell H, Collett J. Use of the Capability, Opportunity and Motivation Behaviour model (COM-B) to Understand Interventions to Support Physical Activity Behaviour in People with Stroke: An Overview of Reviews. Clin Rehabil 2024; 38:543-557. [PMID: 38192225 PMCID: PMC10898199 DOI: 10.1177/02692155231224365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Abstract
OBJECTIVE Physical activity in people with stroke remains low despite considerable research. This overview aimed to provide high-level synthesis and aid clinical decision-making. The Capability, Opportunity, Motivation-Behaviour (COM-B) model was used to classify interventions to understand which components improve physical activity behaviour in people with stroke. DATA SOURCES CINAHL, Cochrane Database, MEDLINE, PEDro, PsychINFO, SPORTDiscus. REVIEW METHODS A systematic search was conducted (November 2023) to identify reviews of interventions to improve physical activity in people with stroke. Results were screened and assessed for eligibility. Participant characteristics, intervention classification using COM-B, and effect of intervention were extracted. Quality was assessed using AMSTAR2, and Corrected Cover Analysis for study overlap. Narrative synthesis was used to understand components of interventions to improve physical activity behaviour. RESULTS 1801 references were screened and 29 full-text references assessed for eligibility. Twenty reviews were included. Quality ranged from critically low (n = 3) to high (n = 10). Study overlap calculated using corrected cover area indicated slight overlap (0.028) and minimal reporting bias.The majority of participants were mobile with mild stroke and community dwelling. Twenty-three interventions were classified using COM-B. Three of twelve interventions classified to one aspect of the COM-B were effective. Fourteen of sixteen effective interventions combined at least two COM-B elements, ten of these combined capability and motivation. CONCLUSION Interventions including at least two elements of the COM-B are most likely to improve physical activity in mobile stroke survivors. Further research is needed to understand physical activity behaviour in those with moderate to severe stroke.
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Affiliation(s)
- Sarah Paterson
- Centre for Movement, Occupation and Rehabilitation Sciences (MOReS), Faculty of Health and Life Sciences, Oxford Brookes University, Oxford, UK
| | - Helen Dawes
- College of Medicine, Department of Public Health & Sports Sciences, Faculty of Health and Life Sciences, University of Exeter, Medical School Building, College of Medicine and Health, Exeter, UK
| | - Charlotte Winward
- Allied Health Professions Research Unit, John Radcliffe Hospital, Oxford, UK
| | - Emilia Bartram
- Oxford Centre for Enablement, Nuffield Orthopaedic Centre, Oxford, UK
| | - Emma Dodds
- Oxford Centre for Enablement, Nuffield Orthopaedic Centre, Oxford, UK
| | - Jane McKinon
- Oxford Centre for Enablement, Nuffield Orthopaedic Centre, Oxford, UK
| | - Helen Gaskell
- Oxford Centre for Enablement, Nuffield Orthopaedic Centre, Oxford, UK
| | - Johnny Collett
- Centre for Movement, Occupation and Rehabilitation Sciences (MOReS), Faculty of Health and Life Sciences, Oxford Brookes University, Oxford, UK
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Carr E, Whiston A, O'Reilly S, O Donoghue M, Cardy N, Carter D, Glynn L, Walsh JC, Forbes J, Walsh C, McManus J, Hunter A, Butler M, Paul L, Fitzsimons C, Bernhardt J, Richardson I, Bradley JG, Salsberg J, Hayes S. Sequential multiple assignment randomised trial to develop an adaptive mobile health intervention to increase physical activity in people poststroke in the community setting in Ireland: TAPAS trial protocol. BMJ Open 2024; 14:e072811. [PMID: 38238182 PMCID: PMC10806784 DOI: 10.1136/bmjopen-2023-072811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 12/15/2023] [Indexed: 01/23/2024] Open
Abstract
INTRODUCTION Stroke is the second-leading cause of death and disability globally. Participation in physical activity (PA) is a cornerstone of secondary prevention in stroke care. Given the heterogeneous nature of stroke, PA interventions that are adaptive to individual performance are recommended. Mobile health (mHealth) has been identified as a potential approach to supporting PA poststroke. To this end, we aim to use a Sequential Multiple Assignment Randomised Trial (SMART) design to develop an adaptive, user-informed mHealth intervention to improve PA poststroke. METHODS AND ANALYSIS The components included in the 12-week intervention are based on empirical evidence and behavioural change theory and will include treatments to increase participation in Structured Exercise and Lifestyle or a combination of both. 117 participants will be randomly assigned to one of the two treatment components. At 6 weeks postinitial randomisation, participants will be classified as responders or non-responders based on participants' change in step count. Non-responders to the initial treatment will be randomly assigned to a different treatment allocation. The primary outcome will be PA (steps/day), feasibility and secondary clinical and cost outcomes will also be included. A SMART design will be used to evaluate the optimum adaptive PA intervention among community-dwelling, ambulatory people poststroke. ETHICS AND DISSEMINATION Ethical approval has been granted by the Health Service Executive Mid-Western Ethics Committee (REC Ref: 026/2022). The findings will be submitted for publication and presented at relevant national and international academic conferences TRIALS REGISTRATION NUMBER: NCT05606770.
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Affiliation(s)
- Emma Carr
- University of Limerick, Limerick, Ireland
| | | | | | | | - Nathan Cardy
- School of Allied Health, University of Limerick, Limerick, Ireland
| | - Daniel Carter
- Health Research Institute, University of Limerick Faculty of Education and Health Sciences, Limerick, Ireland
| | - Liam Glynn
- Graduate Entry Medical School and Health Research Institute, Univ Limerick, Limerick, Ireland
| | - Jane C Walsh
- Psychology, National University of Ireland, Galway, Ireland
| | | | - Cathal Walsh
- Health Research Institute and MACSI, University of Limerick, Limerick, Ireland
| | - John McManus
- University Hospital Limerick, Dooradoyle, Ireland
| | - Andrew Hunter
- National University of Ireland Galway, Galway, Ireland
| | | | - Lorna Paul
- Glasgow Caledonian University School of Health and Life Sciences, Glasgow, UK
| | | | - Julie Bernhardt
- Stroke, Florey Institute of Neuroscience and Mental Health - Austin Campus, Heidelberg, Victoria, Australia
| | | | | | - Jon Salsberg
- Family Medicine, McGill University, Montreal, Quebec, Canada
- Graduate Entry Medical School, University of Limerick, Limerick, Ireland
| | - Sara Hayes
- University of Limerick, Limerick, Ireland
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Longhini J, Marzaro C, Bargeri S, Palese A, Dell'Isola A, Turolla A, Pillastrini P, Battista S, Castellini G, Cook C, Gianola S, Rossettini G. Wearable Devices to Improve Physical Activity and Reduce Sedentary Behaviour: An Umbrella Review. SPORTS MEDICINE - OPEN 2024; 10:9. [PMID: 38219269 PMCID: PMC10788327 DOI: 10.1186/s40798-024-00678-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 01/03/2024] [Indexed: 01/16/2024]
Abstract
BACKGROUND Several systematic reviews (SRs), with and without meta-analyses, have investigated the use of wearable devices to improve physical activity, and there is a need for frequent and updated syntheses on the topic. OBJECTIVE We aimed to evaluate whether using wearable devices increased physical activity and reduced sedentary behaviour in adults. METHODS We conducted an umbrella review searching PubMed, Cumulative Index to Nursing and Allied Health Literature, the Cochrane Library, MedRxiv, Rxiv and bioRxiv databases up to February 5th, 2023. We included all SRs that evaluated the efficacy of interventions when wearable devices were used to measure physical activity in adults aged over 18 years. The primary outcomes were physical activity and sedentary behaviour measured as the number of steps per day, minutes of moderate to vigorous physical activity (MVPA) per week, and minutes of sedentary behaviour (SB) per day. We assessed the methodological quality of each SR using the Assessment of Multiple Systematic Reviews, version 2 (AMSTAR 2) and the certainty of evidence of each outcome measure using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations). We interpreted the results using a decision-making framework examining the clinical relevance and the concordances or discordances of the SR effect size. RESULTS Fifty-one SRs were included, of which 38 included meta-analyses (302 unique primary studies). Of the included SRs, 72.5% were rated as 'critically low methodological quality'. Overall, with a slight overlap of primary studies (corrected cover area: 3.87% for steps per day, 3.12% for MVPA, 4.06% for SB) and low-to-moderate certainty of the evidence, the use of WDs may increase PA by a median of 1,312.23 (IQR 627-1854) steps per day and 57.8 (IQR 37.7 to 107.3) minutes per week of MVPA. Uncertainty is present for PA in pathologies and older adults subgroups and for SB in mixed and older adults subgroups (large confidence intervals). CONCLUSIONS Our findings suggest that the use of WDs may increase physical activity in middle-aged adults. Further studies are needed to investigate the effects of using WDs on specific subgroups (such as pathologies and older adults) in different follow-up lengths, and the role of other intervention components.
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Affiliation(s)
- Jessica Longhini
- Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | | | - Silvia Bargeri
- Unit of Clinical Epidemiology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
| | - Alvisa Palese
- Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Andrea Dell'Isola
- Department of Clinical Sciences Lund, Clinical Epidemiology Unit, Orthopedics, Lund University, Lund, Sweden
| | - Andrea Turolla
- Department of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater Studiorum Università di Bologna, Bologna, Italy
- Unit of Occupational Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Paolo Pillastrini
- Department of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater Studiorum Università di Bologna, Bologna, Italy
- Unit of Occupational Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Simone Battista
- Department of Clinical Sciences Lund, Clinical Epidemiology Unit, Orthopedics, Lund University, Lund, Sweden
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Campus of Savona, Savona, Italy
| | - Greta Castellini
- Unit of Clinical Epidemiology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
| | - Chad Cook
- Department of Orthopaedics, Division of Physical Therapy, Duke University, Durham, NC, USA
| | - Silvia Gianola
- Unit of Clinical Epidemiology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
| | - Giacomo Rossettini
- School of Physiotherapy, University of Verona, Verona, Italy
- Department of Human Neurosciences, University of Roma "Sapienza Roma", Rome, Italy
- Department of Physiotherapy, Faculty of Sport Sciences, Universidad Europea de Madrid, Calle Tajo s/n, Villaviciosa de Odón 28670, Spain
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Thompson AN, Dawson DR, Legasto-Mulvale JM, Chandran N, Tanchip C, Niemczyk V, Rashkovan J, Jeyakumar S, Wang RH, Cameron JI, Nalder E. Mobile Technology-Based Interventions for Stroke Self-Management Support: Scoping Review. JMIR Mhealth Uhealth 2023; 11:e46558. [PMID: 38055318 PMCID: PMC10733834 DOI: 10.2196/46558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 10/03/2023] [Accepted: 10/18/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND There is growing interest in enhancing stroke self-management support using mobile health (mHealth) technology (eg, smartphones and apps). Despite this growing interest, "self-management support" is inconsistently defined and applied in the poststroke mHealth intervention literature, which limits efforts to synthesize and compare evidence. To address this gap in conceptual clarity, a scoping review was conducted. OBJECTIVE The objectives were to (1) identify and describe the types of poststroke mHealth interventions evaluated using a randomized controlled trial design, (2) determine whether (and how) such interventions align with well-accepted conceptualizations of self-management support (the theory by Lorig and Holman and the Practical Reviews in Self-Management Support [PRISMS] taxonomy by Pearce and colleagues), and (3) identify the mHealth functions that facilitate self-management. METHODS A scoping review was conducted according to the methodology by Arksey and O'Malley and Levac et al. In total, 7 databases were searched. Article screening and data extraction were performed by 2 reviewers. The data were analyzed using descriptive statistics and content analysis. RESULTS A total of 29 studies (26 interventions) were included. The interventions addressed 7 focal areas (physical exercise, risk factor management, linguistic exercise, activities of daily living training, medication adherence, stroke education, and weight management), 5 types of mobile devices (mobile phones or smartphones, tablets, wearable sensors, wireless monitoring devices, and laptops), and 7 mHealth functions (educating, communicating, goal setting, monitoring, providing feedback, reminding, and motivating). Collectively, the interventions aligned well with the concept of self-management support. However, on an individual basis (per intervention), the alignment was less strong. CONCLUSIONS On the basis of the results, it is recommended that future research on poststroke mHealth interventions be more theoretically driven, more multidisciplinary, and larger in scale.
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Affiliation(s)
- Alexandra N Thompson
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada
| | - Deirdre R Dawson
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada
- Department of Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Jean Michelle Legasto-Mulvale
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Nivetha Chandran
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Chelsea Tanchip
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Veronika Niemczyk
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Jillian Rashkovan
- Department of Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Saisa Jeyakumar
- Department of Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Rosalie H Wang
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
| | - Jill I Cameron
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
| | - Emily Nalder
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
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Goncalves S, Le Bourvellec M, Mandigout S, Duclos NC. Impact of Active Physiotherapy on Physical Activity Level in Stroke Survivors: A Systematic Review and Meta-Analysis. Stroke 2023; 54:3097-3106. [PMID: 37909205 DOI: 10.1161/strokeaha.123.043629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 10/05/2023] [Indexed: 11/02/2023]
Abstract
BACKGROUND Stroke survivors are frequently physically inactive. However, evidence of the effectiveness of active physiotherapy on physical activity level in stroke survivors is scarce. METHODS We conducted a systematic review and meta-analysis of randomized controlled trials according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis statement, covering electronic searches from inception to March 16, 2022. Participants: Stroke survivors living in the community. Intervention: Any active physiotherapy, that is, involving exercises that require voluntary effort. Outcome measure: Objective and subjective physical activity level. RESULTS Of 5590 identified references, 25 randomized controlled trials were eligible, and 21 had available data. The random-effects meta-analysis resulted in a small, significant effect size in favor of active physiotherapy measured using objective or subjective tools (21 studies, 1834 participants, standardized mean difference, 0.22 [95% CI, 0.04-0.40]; heterogeneity I2=65%), and a medium significant effect when objective tools were used (9 studies, 424 participants, standardized mean differences, 0.48 [95% CI, 0.03-0.92]; I2=73%). Meta-regression showed that 35% of the variance in trial outcome was explained by the measurement tool (objective or subjective) and 23% by age. None of the variances were associated with a specific dosage in terms of frequency, time, exercise duration, or the severity of the disability. CONCLUSIONS Active physiotherapy seems to increase objective physical activity in community-dwelling stroke survivors. However, the evidence is of very low certainty. REGISTRATION URL: https://www.crd.york.ac.uk/PROSPERO/; Unique identifier: CRD42022315639.
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Affiliation(s)
- Stéphanie Goncalves
- HAVAE, Limoges University, Department of Physical Activity and Sport Sciences, UR20217, F-87000, France (S.G., S.M.)
| | - Morgane Le Bourvellec
- MOVE, Poitiers University, Faculty of Sport Sciences, UR20296, F-86000, France (M.L.B.)
| | - Stéphane Mandigout
- HAVAE, Limoges University, Department of Physical Activity and Sport Sciences, UR20217, F-87000, France (S.G., S.M.)
- ILFOMER, Limoges University, F-87000, France (S.M.)
| | - Noémie C Duclos
- Bordeaux University, INSERM, BPH, U1219, Team ACTIVE, F-33000, France (N.C.D.)
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Demers M, Cain A, Bishop L, Gunby T, Rowe JB, Zondervan DK, Winstein CJ. Understanding stroke survivors' preferences regarding wearable sensor feedback on functional movement: a mixed-methods study. J Neuroeng Rehabil 2023; 20:146. [PMID: 37915055 PMCID: PMC10621082 DOI: 10.1186/s12984-023-01271-z] [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: 04/07/2023] [Accepted: 10/23/2023] [Indexed: 11/03/2023] Open
Abstract
BACKGROUND In stroke rehabilitation, wearable technology can be used as an intervention modality by providing timely, meaningful feedback on motor performance. Stroke survivors' preferences may offer a unique perspective on what metrics are intuitive, actionable, and meaningful to change behavior. However, few studies have identified feedback preferences from stroke survivors. This project aims to determine the ease of understanding and movement encouragement of feedback based on wearable sensor data (both arm/hand use and mobility) for stroke survivors and to identify preferences for feedback metrics (mode, content, frequency, and timing). METHODS A sample of 30 chronic stroke survivors wore a multi-sensor system in the natural environment over a 1-week monitoring period. The sensor system captured time in active movement of each arm, arm use ratio, step counts and stance time symmetry. Using the data from the monitoring period, participants were presented with a movement report with visual displays of feedback about arm/hand use, step counts and gait symmetry. A survey and qualitative interview were used to assess ease of understanding, actionability and components of feedback that users found most meaningful to drive lasting behavior change. RESULTS Arm/hand use and mobility sensor-derived feedback metrics were easy to understand and actionable. The preferred metric to encourage arm/hand use was the hourly arm use bar plot, and similarly the preferred metric to encourage mobility was the hourly steps bar plot, which were each ranked as top choice by 40% of participants. Participants perceived that quantitative (i.e., step counts) and qualitative (i.e., stance time symmetry) mobility metrics provided complementary information. Three main themes emerged from the qualitative analysis: (1) Motivation for behavior change, (2) Real-time feedback based on individual goals, and (3) Value of experienced clinicians for prescription and accountability. Participants stressed the importance of having feedback tailored to their own personalized goals and receiving guidance from clinicians on strategies to progress and increase functional movement behavior in the unsupervised home and community setting. CONCLUSION The resulting technology has the potential to integrate engineering and personalized rehabilitation to maximize participation in meaningful life activities outside clinical settings in a less structured environment.
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Affiliation(s)
- Marika Demers
- Division of Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA.
- School of Rehabilitation, University of Montreal, 7077 Ave. du Parc, Montreal, QC, H3N 1X7, Canada.
| | - Amelia Cain
- Division of Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA
| | - Lauri Bishop
- Division of Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA
| | - Tanisha Gunby
- Division of Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA
| | | | | | - Carolee J Winstein
- Division of 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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Shankaranarayana AM, Jagadish A, Nimmy J, Natarajan M, Janssen H, Solomon JM. Non-therapeutic strategies to promote physical activity of stroke survivors in hospital settings: A systematic review. J Bodyw Mov Ther 2023; 36:192-202. [PMID: 37949559 DOI: 10.1016/j.jbmt.2023.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 05/11/2023] [Accepted: 07/04/2023] [Indexed: 11/12/2023]
Abstract
OBJECTIVE To systematically summarize the evidence of strategies other than therapy to promote physical activity in hospital settings. METHODS Studies testing the various strategies to promote the physical activity of stroke survivors in different hospital settings, including stroke units, hospitals and rehabilitation centres were included. Two independent reviewers screened, extracted data, and assessed the study quality. Quality assessments were performed using standardized checklists. Data synthesis was done from the selected articles and results were reported. RESULTS Of the 3396 records retrieved from database searches, 12 studies (n = 529 participants) were included. All the studies were of moderate to good quality. The strategies were grouped into five categories: i) physical environment, ii) device-based feedback, iii) self-management approaches, iv) family presence, and v) education. Physical environmental and device-based feedback were the most common strategies to promote physical activity after a stroke in a hospital setting. Strategies such as family presence and education improved physical activity levels, whereas device-based feedback showed mixed results. CONCLUSION Despite the importance of physical activity in early stroke, there is limited literature present to enhance activity levels. Physical environment and device-based feedback were the two most common strategies used in acute stroke survivors. The impact of these strategies remain suboptimal to be considered as effective intervention methods to enhance physical activity.
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Affiliation(s)
- Apoorva M Shankaranarayana
- Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India; Centre for Comprehensive Stroke Rehabilitation and Research (CCSRR), Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Akhila Jagadish
- Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India; Centre for Comprehensive Stroke Rehabilitation and Research (CCSRR), Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Josephine Nimmy
- Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Manikandan Natarajan
- Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India; Centre for Comprehensive Stroke Rehabilitation and Research (CCSRR), Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Heidi Janssen
- School of Health Sciences, The University of Newcastle, Australia
| | - John M Solomon
- Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India; Centre for Comprehensive Stroke Rehabilitation and Research (CCSRR), Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
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Heizmann AN, Chapelle C, Laporte S, Roche F, Hupin D, Le Hello C. Impact of wearable device-based interventions with feedback for increasing daily walking activity and physical capacities in cardiovascular patients: a systematic review and meta-analysis of randomised controlled trials. BMJ Open 2023; 13:e069966. [PMID: 37433730 DOI: 10.1136/bmjopen-2022-069966] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/13/2023] Open
Abstract
OBJECTIVE To systematically review randomised controlled trials (RCTs) using a wearable physical activity monitoring device as an intervention to increase daily walking activity and improve physical capacities in patients with cardiovascular disease (CVD). DESIGN Systematic review and meta-analysis of RCTs. DATA SOURCES PubMed, Embase and Web of Science from inception to June 2022. ELIGIBILITY CRITERIA Randomised controlled studies including patients with CVD over 18 years of age at the end of a cardiac rehabilitation programme comparing an intervention group using a wearable physical activity monitoring device with feedback with usual care or with a control group receiving no feedback on their physical activity and reporting a change in the daily number of steps and/or a change in the distance covered in the 6-minute walk test (6-MWT) or a change in peak oxygen uptake (V̇O2peak) as endpoints. RESULTS Sixteen RCTs were included. The intervention of wearing a physical activity monitoring device with feedback significantly improved daily number of steps compared with controls (standardised mean difference (SMD) 0.85; 95% CI (0.42; 1.27); p<0.01). The effect was greater when the duration of the intervention was less than 3 months (SMD 1.0; 95% CI (0.18; 1.82); p<0.01) than when the duration of the intervention was 3 months or longer (SMD 0.71; 95% CI (0.27; 1.16); p<0.01), but no significant interaction was found between subgroups (p=0.55). 6-MWT distance and V̇O2peak showed only small effects (SMD 0.34; 95% CI (-0.11; 0.80); p=0.02 and SMD 0.54; 95% CI (0.03; 1.03); p=0.07, respectively). CONCLUSION The use of wearable physical activity monitoring devices appears to help patients with CVD to increase their daily walking activity and thus their physical activity, particularly in the short term. PROSPERO REGISTRATION NUMBER CRD42022300423.
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Affiliation(s)
- Anne-Noëlle Heizmann
- INSERM U1059-SAINBIOSE, Jean Monnet University, Mines Saint-Etienne, Saint-Etienne, France
| | - Céline Chapelle
- INSERM U1059-SAINBIOSE, Jean Monnet University, Mines Saint-Etienne, Saint-Etienne, France
- Clinical Research Unit, Innovation, Pharmacology, Saint-Etienne University Hospital, Saint-Etienne, France
| | - Silvy Laporte
- INSERM U1059-SAINBIOSE, Jean Monnet University, Mines Saint-Etienne, Saint-Etienne, France
- Clinical Research Unit, Innovation, Pharmacology, Saint-Etienne University Hospital, Saint-Etienne, France
- Campus Health and Innovation, Jean Monnet University, Saint-Etienne, France
| | - Frederic Roche
- INSERM U1059-SAINBIOSE, Jean Monnet University, Mines Saint-Etienne, Saint-Etienne, France
- Campus Health and Innovation, Jean Monnet University, Saint-Etienne, France
- Department of Physiology, Saint-Etienne University Hospital, Saint-Etienne, France
| | - David Hupin
- INSERM U1059-SAINBIOSE, Jean Monnet University, Mines Saint-Etienne, Saint-Etienne, France
- Campus Health and Innovation, Jean Monnet University, Saint-Etienne, France
- Department of Physiology, Saint-Etienne University Hospital, Saint-Etienne, France
| | - Claire Le Hello
- INSERM U1059-SAINBIOSE, Jean Monnet University, Mines Saint-Etienne, Saint-Etienne, France
- Campus Health and Innovation, Jean Monnet University, Saint-Etienne, France
- Department of Vascular and Therapeutic Medicine, Saint-Etienne University Hospital, Saint-Etienne, France
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11
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Demers M, Cain A, Bishop L, Gunby T, Rowe JB, Zondervan D, Winstein CJ. Understanding preferences of stroke survivors for feedback provision about functional movement behavior from wearable sensors: a mixed-methods study. RESEARCH SQUARE 2023:rs.3.rs-2789807. [PMID: 37090658 PMCID: PMC10120751 DOI: 10.21203/rs.3.rs-2789807/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Background In stroke rehabilitation, wearable technology can be used as an intervention modality by providing timely, meaningful feedback on motor performance. Stroke survivors' preferences may offer a unique perspective on what metrics are intuitive, actionable, and meaningful to change behavior. However, few studies have identified feedback preferences from stroke survivors. This project aims to determine stroke survivors' satisfaction with feedback from wearable sensors (both mobility and arm/hand use) and to identify preferences for feedback type and delivery schedule. Methods A sample of 30 chronic stroke survivors wore a multi-sensor system in the natural environment over a 1-week monitoring period. The sensor system captured time in active movement of each arm, arm use ratio, step counts and stance time symmetry. Using the data from the monitoring period, participants were presented with a movement report with visual displays of quantitative and qualitative feedback. A survey and qualitative interview were used to assess ease of understanding, actionability and components of feedback that users found most meaningful to drive lasting behavior change. Results Arm/hand use and mobility sensor-derived feedback metrics were easy to understand and actionable. The preferred metric to encourage arm/hand use was the hourly arm use bar plot, and similarly the preferred metric to encourage mobility was the hourly steps bar plot, which were each ranked as top choice by 40% of participants. Participants perceived that quantitative (i.e., step counts) and qualitative (i.e., stance time symmetry) mobility metrics provided complementary information. Three main themes emerged from the qualitative analysis: 1) Motivation for behavior change, 2) Real-time feedback based on individual goals, and 3) Value of experienced clinicians for prescription and accountability. Participants stressed the importance of having feedback tailored to their own personalized goals and receiving guidance from clinicians on strategies to progress and increase functional movement behavior in the unsupervised home and community setting. Conclusion The resulting technology has the potential to integrate engineering and personalized rehabilitation to maximize participation in meaningful life activities outside clinical settings in a less structured environment-one where stroke survivors live their lives.
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de Diego-Alonso C, Alegre-Ayala J, Buesa A, Blasco-Abadía J, López-Royo MP, Roldán-Pérez P, Giner-Nicolás R, Güeita-Rodriguez J, Fini NA, Domenech-Garcia V, Bellosta-López P. Multidimensional analysis of sedentary behaviour and participation in Spanish stroke survivors (Part&Sed-Stroke): a protocol for a longitudinal multicentre study. BMJ Open 2023; 13:e065628. [PMID: 36792320 PMCID: PMC9933767 DOI: 10.1136/bmjopen-2022-065628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/17/2023] Open
Abstract
INTRODUCTION Stroke survivors usually experience long-lasting functional, emotional and social consequences that might contribute to sedentary behaviour and participation restrictions, which are important targets to address during rehabilitation. However, the trajectory and inter-relationship between these factors are unknown. METHODS AND ANALYSIS Part&Sed is a research project based on an observational study design with 6 and 12 months of follow-ups in stroke survivors. In addition, a qualitative analysis of the impact of the stroke on the stroke survivor, validation of the Satisfaction with Daily Occupation-Occupational Balance assessment tool and analysis of the reliability of the Fitbit Inspire 2 activity tracker wristband will be carried out. Participants will be chronic stroke survivors with independent walking capacity. Sociodemographic and clinical data, physical activity, ambulation, sleep, quality of life, anxiety and depression, community participation, and occupational satisfaction and balance, as well as data provided by the activity tracker wristband, will be collected. In addition, if the participant has a primary caregiver, the caregiver will also be monitored. A minimum of 130 participants will be recruited to conduct a random-effects multiple regression model. Mixed models for repeated measures will assess the variation over time of the different variables associated with participation and sedentary behaviour. Psychometric properties (eg, internal consistency, construct validity, test-retest reliability) of the Satisfaction with Daily Occupation-Occupational Balance will be determined. Additionally, intraclass correlation coefficients and minimum detectable change will be calculated to assess intrasubject reliability of physical activity and sleep parameters recorded by the Fitbit Inspire 2. The qualitative analysis process will be carried out using the analysis proposed by Giorgi. ETHICS AND DISSEMINATION The study received ethical approval from the Spanish Regional Ethics Committee 'Comité de Ética de la Investigación de la Comunidad de Aragón' (PI21/333). The results will be made available via peer-reviewed publications, international conferences and official channels.
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Affiliation(s)
- Cristina de Diego-Alonso
- Universidad San Jorge, Campus Universitario, Autov.A23 km 299, 50830, Villanueva de Gállego, Zaragoza, Spain
| | | | - Almudena Buesa
- Universidad San Jorge, Campus Universitario, Autov.A23 km 299, 50830, Villanueva de Gállego, Zaragoza, Spain
| | - Julia Blasco-Abadía
- Universidad San Jorge, Campus Universitario, Autov.A23 km 299, 50830, Villanueva de Gállego, Zaragoza, Spain
| | - María Pilar López-Royo
- Universidad San Jorge, Campus Universitario, Autov.A23 km 299, 50830, Villanueva de Gállego, Zaragoza, Spain
| | - Patricia Roldán-Pérez
- Universidad San Jorge, Campus Universitario, Autov.A23 km 299, 50830, Villanueva de Gállego, Zaragoza, Spain
| | - Rafael Giner-Nicolás
- Universidad San Jorge, Campus Universitario, Autov.A23 km 299, 50830, Villanueva de Gállego, Zaragoza, Spain
| | - Javier Güeita-Rodriguez
- Department of Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine; Research Group of Humanities and Qualitative Research in Health Science (Hum&QRinHS), Universidad Rey Juan Carlos, Health Science Faculty, Alcorcón, Spain
| | - Natalie Ann Fini
- Physiotherapy, School of Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
- Physiotherapy, Alfred Health, Melbourne, Victoria, Australia
| | - Victor Domenech-Garcia
- Universidad San Jorge, Campus Universitario, Autov.A23 km 299, 50830, Villanueva de Gállego, Zaragoza, Spain
| | - Pablo Bellosta-López
- Universidad San Jorge, Campus Universitario, Autov.A23 km 299, 50830, Villanueva de Gállego, Zaragoza, Spain
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Otaka E, Oguchi K, Yagihashi K, Hoshino T, Munakata S, Hayakawa A, Otaka Y. Feasibility and efficacy of an activity-monitoring approach using pedometer in patients undergoing subacute rehabilitation: A pilot study. FRONTIERS IN REHABILITATION SCIENCES 2023; 4:1050638. [PMID: 37033197 PMCID: PMC10073503 DOI: 10.3389/fresc.2023.1050638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 03/06/2023] [Indexed: 04/11/2023]
Abstract
Wearable devices for the quantification of walking have recently been adopted for gait rehabilitation. To apply this method in subacute rehabilitation settings, this approach must be effective in these populations and implemented as a feasible method in terms of adherence and safety, especially the risk of falling. This study aimed to investigate the feasibility and efficacy of an activity monitoring approach in subacute rehabilitation using a commercially available pedometer validated with slow walking. This randomized controlled study with blinded assessors recruited 29 patients admitted to a rehabilitation ward. The participants were randomly assigned to either the feedback (intervention) or the no-feedback (control) group. Participants in both groups received at least 120 min of therapy sessions every day for 6 or 7 days per week while wearing pedometers on their unaffected ankles from the day they were permitted to walk independently till discharge. Only participants in the feedback group received weekly encouragement and the next goals. The primary outcome was the change in the 6-minute walking distance (Δ6MD). Feasibility (percentage of pedometer data acquisition days in the total observational period and the number of falls) and other efficacy outcomes (step counts, gait speed, 30-seconds chair stand test, Berg Balance Scale, and Timed Up and Go Test) were also evaluated. Regarding feasibility outcomes, the data acquisition rate was 94.1% and the number of falls during the observation period was one in the feedback group. Regarding efficacy outcomes, Δ6MD was not significantly greater in the feedback group [mean (standard deviation): 79.1 (51.7) m] than in the no-feedback group [86.1 (65.4) m] (p = 0.774) and the other five secondary outcomes showed no between-group difference. Considering the large number of steps per day in both groups [6,912 (4,751) and 5,600 (5,108) steps in the feedback and no-feedback group, respectively], the effect of the intended intervention might have been masked by the effect of simply wearing pedometers in the control group. This study revealed that the activity monitoring approach using an ankle-worn pedometer was practical in terms of adherence and safety. Further clinical trials are required to elucidate ways to effectively use wearable devices in subacute rehabilitation.
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Affiliation(s)
- Eri Otaka
- Department of Rehabilitation Medicine, Kariya Toyota General Hospital, Kariya, Japan
- Assistive Robot Center, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Kazuyo Oguchi
- Department of Rehabilitation Medicine, Kariya Toyota General Hospital, Kariya, Japan
| | - Kei Yagihashi
- Department of Rehabilitation Medicine, Kariya Toyota General Hospital, Kariya, Japan
| | - Takashi Hoshino
- Department of Rehabilitation Medicine, Kariya Toyota General Hospital, Kariya, Japan
| | - Sachiko Munakata
- Department of Rehabilitation Medicine, Kariya Toyota General Hospital, Kariya, Japan
| | - Atsuko Hayakawa
- Department of Rehabilitation Medicine, Kariya Toyota General Hospital, Kariya, Japan
| | - Yohei Otaka
- Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Japan
- Correspondence: Yohei Otaka
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De Luca V, Femminella GD, Patalano R, Formosa V, Lorusso G, Rivetta C, Di Lullo F, Mercurio L, Rea T, Salvatore E, Korkmaz Yaylagul N, Apostolo J, Silva RC, Dantas C, van Staalduinen WH, Liotta G, Iaccarino G, Triassi M, Illario M. Assessment Tools of Biopsychosocial Frailty Dimensions in Community-Dwelling Older Adults: A Narrative Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16050. [PMID: 36498125 PMCID: PMC9739796 DOI: 10.3390/ijerph192316050] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 11/21/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
Frailty is a complex interplay between several factors, including physiological changes in ageing, multimorbidities, malnutrition, living environment, genetics, and lifestyle. Early screening for frailty risk factors in community-dwelling older people allows for preventive interventions on the clinical and social determinants of frailty, which allows adverse events to be avoided. By conducting a narrative review of the literature employing the International Narrative Systematic Assessment tool, the authors aimed to develop an updated framework for the main measurement tools to assess frailty risks in older adults, paying attention to use in the community and primary care settings. This search focused on the biopsychosocial domains of frailty that are covered in the SUNFRAIL tool. The study selected 178 reviews (polypharmacy: 20; nutrition: 13; physical activity: 74; medical visits: 0; falls: 39; cognitive decline: 12; loneliness: 15; social support: 5; economic constraints: 0) published between January 2010 and December 2021. Within the selected reviews, 123 assessment tools were identified (polypharmacy: 15; nutrition: 15; physical activity: 25; medical visits: 0; falls: 26; cognitive decline: 18; loneliness: 9; social support: 15; economic constraints: 0). The narrative review allowed us to evaluate assessment tools of frailty domains to be adopted for multidimensional health promotion and prevention interventions in community and primary care.
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Affiliation(s)
- Vincenzo De Luca
- Dipartimento di Sanità Pubblica, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
| | - Grazia Daniela Femminella
- Dipartimento di Scienze Mediche Traslazionali, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
| | - Roberta Patalano
- Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
| | - Valeria Formosa
- Specializzazione in Igiene e Medicina Preventiva, Università degli Studi di Roma Tor Vergata, 00133 Roma, Italy
| | - Grazia Lorusso
- Specializzazione in Igiene e Medicina Preventiva, Università degli Studi di Roma Tor Vergata, 00133 Roma, Italy
| | - Cristiano Rivetta
- Specializzazione in Igiene e Medicina Preventiva, Università degli Studi di Roma Tor Vergata, 00133 Roma, Italy
| | - Federica Di Lullo
- Specializzazione in Igiene e Medicina Preventiva, Università degli Studi di Roma Tor Vergata, 00133 Roma, Italy
| | - Lorenzo Mercurio
- Dipartimento di Sanità Pubblica, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
| | - Teresa Rea
- Dipartimento di Sanità Pubblica, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
| | - Elena Salvatore
- Dipartimento di Scienze Biomediche Avanzate, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
| | | | - Joao Apostolo
- Health Sciences Research Unit: Nursing (UICISA:E), Nursing School of Coimbra (ESEnfC), Avenida Bissaya Barreto, 3004-011 Coimbra, Portugal
| | - Rosa Carla Silva
- Health Sciences Research Unit: Nursing (UICISA:E), Nursing School of Coimbra (ESEnfC), Avenida Bissaya Barreto, 3004-011 Coimbra, Portugal
| | | | | | - Giuseppe Liotta
- Dipartimento di Biomedicina e Prevenzione, Università degli Studi di Roma Tor Vergata, 00133 Roma, Italy
| | - Guido Iaccarino
- Dipartimento di Scienze Biomediche Avanzate, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
| | - Maria Triassi
- Dipartimento di Sanità Pubblica, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
| | - Maddalena Illario
- Dipartimento di Sanità Pubblica, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
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Stefanovic F, Ramanarayanan S, Karkera NU, Mujumdar R, Sivaswaamy Mohana P, Hostler D. Rate of change in longitudinal EMG indicates time course of an individual's neuromuscular adaptation in resistance-based muscle training. FRONTIERS IN REHABILITATION SCIENCES 2022; 3:981990. [PMID: 36419714 PMCID: PMC9676259 DOI: 10.3389/fresc.2022.981990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 10/04/2022] [Indexed: 11/09/2022]
Abstract
An individual's long-term neuromuscular adaptation can be measured through time-domain analyses of surface electromyograms (EMG) in regular resistance-based training. The perceived changes in recruitment, such as those measured during muscle fatigue, can subsequently prolong the recovery time in rehabilitation applications. Thus, by developing quantifiable methods for measuring neuromuscular adaptation, adjuvant treatments applied during neurorehabilitation can be improved to reduce recovery times and to increase patient quality of care. This study demonstrates a novel time-domain analysis of long-term changes in EMG captured neuromuscular activity that we aim to use to develop a quantified performance metric for muscle-based intervention training and optimization of an individual. We measure EMG of endurance and hypertrophy-based resistance exercises of healthy participants over 100 days to identify trends in long-term neuromuscular adaptation. Particularly, we show that the rate of EMG amplitude increase (motor recruitment) is dependent on the training modality of an individual. Particularly, EMG decreases over time with repetitive training – but the rate of decrease is different in hypertrophy, endurance, and control exercises. We found that the EMG peak contraction decreases across all subjects, on average, by 8.23 dB during hypertrophy exercise and 10.09 dB for endurance exercises over 100 days of training, while control participants showed negligible change. This represents approximately 2 dB difference EMG activity when comparing endurance and hypertrophy exercises, and >8 dB change when comparing to our control cases. As such, we show that the slope of the long-term EMG activity is related to the resistance-based exercise. We believe this can be used to identify person-specific performance metrics, and to create optimized interventions using a measured performance baseline of an individual.
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Affiliation(s)
- Filip Stefanovic
- Department of Biomedical Engineering, State University of New York at Buffalo, Buffalo, NY, United States
- Correspondence: Filip Stefanovic
| | - Shilpa Ramanarayanan
- Department of Biomedical Engineering, State University of New York at Buffalo, Buffalo, NY, United States
| | - Nidhi U. Karkera
- Department of Biomedical Engineering, State University of New York at Buffalo, Buffalo, NY, United States
| | - Radhika Mujumdar
- Department of Biomedical Engineering, State University of New York at Buffalo, Buffalo, NY, United States
| | - Preethi Sivaswaamy Mohana
- Department of Biomedical Engineering, State University of New York at Buffalo, Buffalo, NY, United States
| | - David Hostler
- Department of Exercise and Nutrition Sciences, State University of New York at Buffalo, Buffalo, NY, United States
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Hunter A, Carter D, O’Donoghue M, Cardy N, Walsh J, Bernhardt J, Fitzsimons C, Richardson I, Salsberg J, Glynn L, Walsh C, O’Driscoll E, Boland P, Cunningham N, Forbes J, Galvin R, Hayes S. Exploring the perspectives of people with stroke, caregivers and healthcare professionals on the design and delivery of a mHealth adaptive physical activity intervention: a qualitative study protocol. HRB Open Res 2022. [DOI: 10.12688/hrbopenres.13506.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Background: Despite recent advances in acute stroke intervention, secondary prevention strategies are lacking. Physical activity (PA) is the second-largest predictor of stroke and a cornerstone of secondary prevention therapies. Interventions to promote PA post-stroke include components aimed at reducing sedentary behaviour and increasing participation in lifestyle PA and structured exercise. Despite guidelines to adapt PA to individuals’ needs, there is no evidence on the empirical development of adaptive PA interventions post-stroke. This study will explore patient, caregiver and multidisciplinary healthcare professional perspectives on the design and delivery of adaptive, personalised PA interventions, delivered using a smartphone application, following mild-to-moderate stroke. Findings will directly inform the protocol of an experimental trial, using a novel adaptive trial design. Methods: A descriptive qualitative study will be undertaken to inform the design, delivery and subsequent acceptability of a smartphone application to reduce sedentary behaviour and promote PA post-stroke. Data will be collected via one-to-one interviews and focus groups and analysed according to a six-step thematic analysis. Findings will be reported in accordance with the consolidated criteria for reporting qualitative research (COREQ) checklist. One-to-one interviews and focus group interviews will be conducted with three stakeholder groups: 1) People post-stroke, who are independently mobile, without communication and cognitive deficits, living in the community, and without other diagnosed neurological conditions. 2) Caregivers (formal and informal) involved in post-stroke care. 3) Healthcare professionals who are members of multidisciplinary stroke teams. Ethics and dissemination: Ethical approval has been granted by the Faculty of Education and Health Sciences Research Ethics Committee at the University of Limerick [Ref: 2019_10_03_ EHS]. Findings will be shared locally with all stakeholder groups, submitted for publication, and will inform the protocol and conduct for a novel and flexible experimental trial, examining the effectiveness of an adaptive PA intervention post-stroke.
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17
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Schwerz de Lucena D, Rowe JB, Okita S, Chan V, Cramer SC, Reinkensmeyer DJ. Providing Real-Time Wearable Feedback to Increase Hand Use after Stroke: A Randomized, Controlled Trial. SENSORS (BASEL, SWITZERLAND) 2022; 22:6938. [PMID: 36146287 PMCID: PMC9505054 DOI: 10.3390/s22186938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/02/2022] [Accepted: 09/07/2022] [Indexed: 06/16/2023]
Abstract
After stroke, many people substantially reduce use of their impaired hand in daily life, even if they retain even a moderate level of functional hand ability. Here, we tested whether providing real-time, wearable feedback on the number of achieved hand movements, along with a daily goal, can help people increase hand use intensity. Twenty participants with chronic stroke wore the Manumeter, a novel magnetic wristwatch/ring system that counts finger and wrist movements. We randomized them to wear the device for three weeks with (feedback group) or without (control group) real-time hand count feedback and a daily goal. Participants in the control group used the device as a wristwatch, but it still counted hand movements. We found that the feedback group wore the Manumeter significantly longer (11.2 ± 1.3 h/day) compared to the control group (10.1 ± 1.1 h/day). The feedback group also significantly increased their hand counts over time (p = 0.012, slope = 9.0 hand counts/hour per day, which amounted to ~2000 additional counts per day by study end), while the control group did not (p-value = 0.059; slope = 4.87 hand counts/hour per day). There were no significant differences between groups in any clinical measures of hand movement ability that we measured before and after the feedback period, although several of these measures improved over time. Finally, we confirmed that the previously reported threshold relationship between hand functional capacity and daily use was stable over three weeks, even in the presence of feedback, and established the minimal detectable change for hand count intensity, which is about 30% of average daily intensity. These results suggest that disuse of the hand after stroke is temporarily modifiable with wearable feedback, but do not support that a 3-week intervention of wearable hand count feedback provides enduring therapeutic gains.
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Affiliation(s)
- Diogo Schwerz de Lucena
- AE Studio, Venice, CA 90291, USA
- CAPES Foundation, Ministry of Education of Brazil, Brasilia 70040-020, Brazil
| | | | - Shusuke Okita
- Department of Mechanical and Aerospace Engineering, University of California Irvine, Irvine, CA 92697, USA
- Department of Anatomy and Neurobiology, University of California Irvine, Irvine, CA 92697, USA
| | - Vicky Chan
- Rehabilitation Services, University of California Irvine, Irvine, CA 92697, USA
| | | | - David J. Reinkensmeyer
- Department of Mechanical and Aerospace Engineering, University of California Irvine, Irvine, CA 92697, USA
- Department of Anatomy and Neurobiology, University of California Irvine, Irvine, CA 92697, USA
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18
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Heath GW, Levine D. Physical Activity and Public Health among People with Disabilities: Research Gaps and Recommendations. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10436. [PMID: 36012074 PMCID: PMC9408065 DOI: 10.3390/ijerph191610436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 08/04/2022] [Accepted: 08/10/2022] [Indexed: 06/15/2023]
Abstract
Physical activity has become an integral component of public health systems modeling the public health core functions of assessment, policy development, and assurance. However, people with disabilities have often not been included in public health efforts to assess, develop policies, or evaluate the impact of physical activity interventions to promote health and prevent disease among people with disabilities. Addressing the core function of assessment, current physical activity epidemiology, and surveillance among people with disabilities across the globe highlights the paucity of surveillance systems that include physical activity estimates among people with disabilities. The status of valid and reliable physical activity measures among people with condition-specific disabilities is explored, including self-report measures along with wearable devices, and deficiencies in measurement of physical activity. The core functions of policy development and assurance are described in the context of community-based intervention strategies to promote physical activity among people with disabilities. The identification of research gaps in health behavior change, policy, and environmental approaches to promoting physical activity among people with disabilities is explored, along with recommendations based on the principles of inclusive and engaged research partnerships between investigators and the members of the disability community.
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Affiliation(s)
- Gregory W. Heath
- Public Health Program, Department of Health and Human Performance, University of Tennessee, Chattanooga, TN 37403, USA
- University of Tennessee Health Science Center College of Medicine Chattanooga, Chattanooga, TN 37403, USA
| | - David Levine
- Department of Physical Therapy, The University of Tennessee, Chattanooga, TN 37403, USA
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19
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McFeeters C, Pedlow K, Kennedy N, Colquhoun H, McDonough S. A summary of the body of knowledge on physical activity for people following stroke: a scoping review. PHYSICAL THERAPY REVIEWS 2022. [DOI: 10.1080/10833196.2022.2102748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Affiliation(s)
- Claire McFeeters
- School of Health Sciences, Ulster University, Londonderry, Northern Ireland
| | - Katy Pedlow
- School of Health Sciences, Ulster University, Londonderry, Northern Ireland
| | - Niamh Kennedy
- School of Psychology, Ulster University, Coleraine, Northern Ireland
| | - Heather Colquhoun
- Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, Canada
| | - Suzanne McDonough
- School Of Physiotherapy, Royal College of Surgeons in Ireland, Dublin, Ireland
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20
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Mellema M, Gjøvaag T. Reported Outcome Measures in Studies of Real-World Ambulation in People with a Lower Limb Amputation: A Scoping Review. SENSORS 2022; 22:s22062243. [PMID: 35336412 PMCID: PMC8955603 DOI: 10.3390/s22062243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/08/2022] [Accepted: 03/10/2022] [Indexed: 12/02/2022]
Abstract
Background: The rapidly increasing use of wearable technology to monitor free-living ambulatory behavior demands to address to what extent the chosen outcome measures are representative for real-world situations. This scoping review aims to provide an overview of the purpose of use of wearable activity monitors in people with a Lower Limb Amputation (LLA) in the real world, to identify the reported outcome measures, and to evaluate to what extent the reported outcome measures capture essential information from real-world ambulation of people with LLA. Methods: The literature search included a search in three databases (MEDLINE, CINAHL, and EMBASE) for articles published between January 1999 and January 2022, and a hand-search. Results and conclusions: 98 articles met the inclusion criteria. According to the included studies’ main objective, the articles were classified into observational (n = 46), interventional (n = 34), algorithm/method development (n = 12), and validity/feasibility studies (n = 6). Reported outcome measures were grouped into eight categories: step count (reported in 73% of the articles), intensity of activity/fitness (31%), type of activity/body posture (27%), commercial scores (15%), prosthetic use and fit (11%), gait quality (7%), GPS (5%), and accuracy (4%). We argue that researchers should be more careful with choosing reliable outcome measures, in particular, regarding the frequently used category step count. However, the contemporary technology is limited in providing a comprehensive picture of real-world ambulation. The novel knowledge from this review should encourage researchers and developers to engage in debating and defining the framework of ecological validity in rehabilitation sciences, and how this framework can be utilized in the development of wearable technologies and future studies of real-world ambulation in people with LLA.
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Affiliation(s)
- Mirjam Mellema
- Department of Mechanical, Electronic and Chemical Engineering, Faculty of Technology, Art and Design, Oslo Metropolitan University, P.O. Box 4, St. Olavs Plass, 0130 Oslo, Norway
- Department of Occupational Therapy, Prosthetics and Orthotics, Faculty of Health Sciences, Oslo Metropolitan University, P.O. Box 4, St. Olavs Plass, 0130 Oslo, Norway;
- Correspondence:
| | - Terje Gjøvaag
- Department of Occupational Therapy, Prosthetics and Orthotics, Faculty of Health Sciences, Oslo Metropolitan University, P.O. Box 4, St. Olavs Plass, 0130 Oslo, Norway;
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21
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Simpson LA, Barclay R, Bayley MT, Dukelow SP, MacIntosh BJ, McKay-Lyons M, Menon C, Mortenson WB, Peng TH, Pollock CL, Pooyania S, Teasell R, Yang CL, Yao J, Eng JJ. Virtual Arm Boot Camp (V-ABC): study protocol for a mixed-methods study to increase upper limb recovery after stroke with an intensive program coupled with a grasp count device. Trials 2022; 23:129. [PMID: 35135585 PMCID: PMC8822776 DOI: 10.1186/s13063-022-06047-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 01/19/2022] [Indexed: 01/11/2023] Open
Abstract
Background Encouraging upper limb use and increasing intensity of practice in rehabilitation are two important goals for optimizing upper limb recovery post stroke. Feedback from novel wearable sensors may influence practice behaviour to promote achieving these goals. A wearable sensor can potentially be used in conjunction with a virtually monitored home program for greater patient convenience, or due to restrictions that preclude in-person visits, such as COVID-19. This trial aims to (1) determine the efficacy of a virtual behaviour change program that relies on feedback from a custom wearable sensor to increase use and function of the upper limb post stroke; and (2) explore the experiences and perceptions of using a program coupled with wearable sensors to increase arm use from the perspective of people with stroke. Methods This mixed-methods study will utilize a prospective controlled trial with random allocation to immediate or 3-week delayed entry to determine the efficacy of a 3-week behaviour change program with a nested qualitative description study. The intervention, the Virtual Arm Boot Camp (V-ABC) features feedback from a wearable device, which is intended to increase upper limb use post stroke, as well as 6 virtual sessions with a therapist. Sixty-four adults within 1-year post stroke onset will be recruited from seven rehabilitation centres. All outcomes will be collected virtually. The primary outcome measure is upper limb use measured by grasp counts over 3 days from the wearable sensor (TENZR) after the 3-week intervention. Secondary outcomes include upper limb function (Arm Capacity and Movement Test) and self-reported function (Hand Function and Strength subscale from the Stroke Impact Scale). Outcome data will be collected at baseline, post-intervention and at 2 months retention. The qualitative component will explore the experiences and acceptability of using a home program with a wearable sensor for increasing arm use from the point of view of individuals with stroke. Semi-structured interviews will be conducted with participants after they have experienced the intervention. Qualitative data will be analysed using content analysis. Discussion This study will provide novel information regarding the efficacy and acceptability of virtually delivered programs to improve upper extremity recovery, and the use of wearable sensors to assist with behaviour change. Trial registration ClinicalTrials.govNCT04232163. January 18, 2020.
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Affiliation(s)
- Lisa A Simpson
- Graduate Program in Rehabilitation Sciences, Faculty of Medicine, University of British Columbia, Vancouver, Canada.,Rehabilitation Research Program, GF Strong Rehabilitation Centre, Vancouver Coastal Health, Vancouver, Canada
| | - Ruth Barclay
- Department of Physical Therapy, College of Rehabilitation Sciences, University of Manitoba, Winnipeg, Canada
| | - Mark T Bayley
- Division of Physical Medicine and Rehabilitation, University of Toronto and KITE Research Institute University Health Network, Toronto, Canada
| | - Sean P Dukelow
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
| | | | | | - Carlo Menon
- Department of Health Sciences and Technology, ETH, Zurich, Switzerland
| | - W Ben Mortenson
- Rehabilitation Research Program, GF Strong Rehabilitation Centre, Vancouver Coastal Health, Vancouver, Canada.,Department of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, Canada.,International Collaboration on Repair Discoveries, Vancouver, Canada
| | - Tzu-Hsuan Peng
- Graduate Program in Rehabilitation Sciences, Faculty of Medicine, University of British Columbia, Vancouver, Canada.,Rehabilitation Research Program, GF Strong Rehabilitation Centre, Vancouver Coastal Health, Vancouver, Canada
| | - Courtney L Pollock
- Rehabilitation Research Program, GF Strong Rehabilitation Centre, Vancouver Coastal Health, Vancouver, Canada.,Department of Physical Therapy, University of British Columbia, Vancouver, Canada
| | - Sepideh Pooyania
- Division of Physical Medicine and Rehabilitation, University of Manitoba, Winnipeg, Canada
| | - Robert Teasell
- Schulich School of Medicine & Dentistry, Western University and Parkwood Institute Research, Lawson Health Research Institute, London, Canada
| | - Chieh-Ling Yang
- Rehabilitation Research Program, GF Strong Rehabilitation Centre, Vancouver Coastal Health, Vancouver, Canada.,Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Jennifer Yao
- Rehabilitation Research Program, GF Strong Rehabilitation Centre, Vancouver Coastal Health, Vancouver, Canada.,Division of Physical Medicine and Rehabilitation, University of British Columbia, Vancouver, Canada
| | - Janice J Eng
- Rehabilitation Research Program, GF Strong Rehabilitation Centre, Vancouver Coastal Health, Vancouver, Canada. .,International Collaboration on Repair Discoveries, Vancouver, Canada. .,Department of Physical Therapy, University of British Columbia, Vancouver, Canada. .,University of British Columbia, 212-2177 Wesbrook Mall, Vancouver, BC, V6T 1Z3, Canada.
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22
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How Many Hours of Device Wear Time Are Required to Accurately Measure Physical Activity Post Stroke? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19031191. [PMID: 35162217 PMCID: PMC8834432 DOI: 10.3390/ijerph19031191] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 01/17/2022] [Accepted: 01/17/2022] [Indexed: 02/05/2023]
Abstract
Background. Inadequate physical activity participation is a risk factor for secondary stroke. Before implementing appropriate management strategies, we need to accurately measure the physical activity of stroke survivors. We aimed to determine the duration of physical activity monitoring post-stroke that constitutes a valid day. Methods. We sampled stroke survivors’ physical activity for one week following discharge from inpatient rehabilitation using the Sensewear Armband (Bodymedia, Pittsburgh, PA, USA). To determine the impact of total daily wear time on activity estimate (sedentary, light, and moderate to vigorous physical activity) accuracy, we performed simulations, removing one, two, three, or four hours from a 14-h reference day, and analysed them with linear mixed models. Results. Sixty-nine participants (46 male, 65 ± 15 years) with 271 days of physical activity data were included. All physical activity variables were significantly underestimated for all data sets (10, 11, 12, or 13 h) compared to the 14-h reference data set. The number of days classified as not meeting physical activity recommendations increased as daily monitoring duration decreased: 13% misclassification with 10-h compared to 14-h dataset (p = 0.011). Conclusions. The accuracy of physical activity estimates increases with longer daily monitoring periods following stroke, and researchers should aim to monitor post-stroke physical activity for 14 daytime hours.
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23
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Otaka E, Oguchi K, Kondo I, Otaka Y. Effectiveness of Self-Monitoring Approach Using Fitness Trackers to Improve Walking Ability in Rehabilitation Settings: A Systematic Review. FRONTIERS IN REHABILITATION SCIENCES 2021; 2:752727. [PMID: 36188816 PMCID: PMC9397729 DOI: 10.3389/fresc.2021.752727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 10/28/2021] [Indexed: 11/29/2022]
Abstract
Background: A self-monitoring approach utilizing fitness trackers that provide feedback regarding physical activities has been recently applied to rehabilitation patients to promote voluntary walking activities. Although this approach has been proven to increase physical activity, it is uncertain whether the intervention improves walking ability. Aim: This review investigated whether the additional self-monitoring approach using activity trackers would improve walking ability in any type of rehabilitation setting. Methods: A systematic search was performed in four databases [PubMed (MEDLINE), The Cochrane Library, SPORTDiscus, and Cumulative Index to Nursing and Allied Health Literature] to identify studies that examined the self-monitoring approach combined with rehabilitative intervention vs. the same rehabilitative intervention only in participants with any unhealthy conditions. Two review authors independently assessed the eligibility of all the retrieved English literature published from 2009 to 2019, then discussed the final inclusion. The risk of bias was assessed referring to the criteria of the Cochrane Risk of Bias tool. The key findings were synthesized using narrative synthesis. In addition, a quantitative synthesis was conducted when more than two studies investigating the same disease were identified. Results: Eleven randomized controlled trials satisfied the eligibility criteria, nine of which had a lower risk of bias. The types of diseases included stroke, chronic obstructive pulmonary disease (COPD), cancer, Parkinson's disease, hemophilia, peripheral artery disease, post-total knee arthroplasty, and geriatric rehabilitation. Eight studies reported measures of walking endurance and four reported measures of gait speed. In the quantitative synthesis of two studies investigating COPD, there was a significant between-group difference in terms of changes in the 6-min walking distance from the baseline, which was favorable to the additional self-monitoring intervention group (mean difference: 13.1 m; 95% confidence interval, 1.8–24.5; 2 studies, 124 participants; p = 0.02; I2 = 0%). Other available data revealed no consistent evidence regarding effectiveness of the intervention. Conclusions: The findings indicate that there is little evidence suggesting the effectiveness of the self-monitoring approach in improving walking ability in rehabilitation settings. However, a weak recommendation for patients with stable COPD was implicated in the quantitative synthesis. Further research would be required to explore the best indications for this self-monitoring approach. Systematic Review Registration: CRD 42020157695.
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Affiliation(s)
- Eri Otaka
- Assistive Robot Center, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Rehabilitation Medicine, Kariya Toyota General Hospital, Kariya, Japan
| | - Kazuyo Oguchi
- Department of Rehabilitation Medicine, Kariya Toyota General Hospital, Kariya, Japan
| | - Izumi Kondo
- Assistive Robot Center, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Yohei Otaka
- Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Japan
- *Correspondence: Yohei Otaka
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24
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Negrini F, de Sire A, Lazzarini SG, Pennestrì F, Sorce S, Arienti C, Vitale JA. Reliability of activity monitors for physical activity assessment in patients with musculoskeletal disorders: A systematic review. J Back Musculoskelet Rehabil 2021; 34:915-923. [PMID: 33935067 DOI: 10.3233/bmr-200348] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Activity monitors have been introduced in the last years to objectively measure physical activity to help physicians in the management of musculoskeletal patients. OBJECTIVE This systematic review aimed at describing the assessment of physical activity by commercially available portable activity monitors in patients with musculoskeletal disorders. METHODS PubMed, Embase, PEDro, Web of Science, Scopus and CENTRAL databases were systematically searched from inception to June 11th, 2020. We considered as eligible observational studies with: musculoskeletal patients; physical activity measured by wearable sensors based on inertial measurement units; comparisons performed with other tools; outcomes consisting of number of steps/day, activity/inactivity time, or activity counts/day. RESULTS Out of 595 records, after removing duplicates, title/abstract and full text screening, 10 articles were included. We noticed a wide heterogeneity in the wearable devices, that resulted to be 10 different types. Patients included suffered from rheumatoid arthritis, osteoarthritis, juvenile idiopathic arthritis, polymyalgia rheumatica, and fibromyalgia. Only 3 studies compared portable activity trackers with objective measurement tools. CONCLUSIONS Taken together, this systematic review showed that activity monitors might be considered as useful to assess physical activity in patients with musculoskeletal disorders, albeit, to date, the high device heterogeneity and the different algorithms still prevent their standardization.
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Affiliation(s)
| | - Alessandro de Sire
- Department of Medical and Surgical Sciences, University of Catanzaro "Magna Graecia", Catanzaro, Italy
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25
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Yang CL, Liu J, Simpson LA, Menon C, Eng JJ. Real-World Functional Grasping Activity in Individuals With Stroke and Healthy Controls Using a Novel Wearable Wrist Sensor. Neurorehabil Neural Repair 2021; 35:929-937. [PMID: 34510935 DOI: 10.1177/15459683211041312] [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: 11/16/2022]
Abstract
Background. While wrist-worn accelerometers have been used to measure upper extremity use in the past, they primarily measure arm motion and lack the ability to capture functional hand opening and grasping activities which are essential for activities of daily living. Objectives. To characterize real-world functional hand opening and grasping activities captured over multiple days in adults with stroke and in matched controls using a novel wrist-worn device. Methods. Twenty-eight individuals (fourteen individuals with stroke and 14 healthy controls) wore the devices on both wrists for 3 days. Functional hand activity was characterized by daily hand counts, hourly hand counts, and asymmetry between hands. The Mann-Whitney U test was used to evaluate differences in functional hand activities between the two groups. Results. The stroke group had 1480 and 4691 daily hand counts in their affected and nonaffected hands, respectively. The control group had 3559 and 5021 daily hand counts in their nondominant and dominant hands, respectively. Significantly fewer daily hand counts (P = .019), fewer hourly hand counts (P = .024), and a larger asymmetry index (P = .01) of the affected hand in the stroke group were found compared to that of the nondominant hand in the control group. Conclusions. Real-world functional upper extremity activity can be measured using this novel wrist-worn device. Unlike wrist-worn accelerometers, this wrist-worn device can provide a measurement of functional grasping activity. The findings have implications for clinicians and researchers to monitor and assess real-world hand activity, as well as to apply specific doses of repetitions to improve neural recovery after stroke.
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Affiliation(s)
- Chieh-Ling Yang
- Department of Physical Therapy, Faculty of Medicine, 8166University of British Columbia, Vancouver, BC, Canada.,Rehabilitation Research Program, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada.,Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Johnson Liu
- Department of Physical Therapy, Faculty of Medicine, 8166University of British Columbia, Vancouver, BC, Canada.,Rehabilitation Research Program, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
| | - Lisa A Simpson
- Rehabilitation Research Program, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada.,Graduate Programs in Rehabilitation Sciences, Faculty of Medicine, 8166University of British Columbia, Vancouver, BC, Canada
| | - Carlo Menon
- Biomedical and Mobile Health Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.,Schools of Mechatronic Systems Engineering and Engineering Science, Simon Fraser University, Vancouver, BC, Canada
| | - Janice J Eng
- Department of Physical Therapy, Faculty of Medicine, 8166University of British Columbia, Vancouver, BC, Canada.,Rehabilitation Research Program, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
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26
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Saunders DH, Mead GE, Fitzsimons C, Kelly P, van Wijck F, Verschuren O, Backx K, English C. Interventions for reducing sedentary behaviour in people with stroke. Cochrane Database Syst Rev 2021; 6:CD012996. [PMID: 34184251 PMCID: PMC8238669 DOI: 10.1002/14651858.cd012996.pub2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Stroke survivors are often physically inactive as well as sedentary,and may sit for long periods of time each day. This increases cardiometabolic risk and has impacts on physical and other functions. Interventions to reduce or interrupt periods of sedentary time, as well as to increase physical activity after stroke, could reduce the risk of secondary cardiovascular events and mortality during life after stroke. OBJECTIVES To determine whether interventions designed to reduce sedentary behaviour after stroke, or interventions with the potential to do so, can reduce the risk of death or secondary vascular events, modify cardiovascular risk, and reduce sedentary behaviour. SEARCH METHODS In December 2019, we searched the Cochrane Stroke Trials Register, CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, Conference Proceedings Citation Index, and PEDro. We also searched registers of ongoing trials, screened reference lists, and contacted experts in the field. SELECTION CRITERIA Randomised trials comparing interventions to reduce sedentary time with usual care, no intervention, or waiting-list control, attention control, sham intervention or adjunct intervention. We also included interventions intended to fragment or interrupt periods of sedentary behaviour. DATA COLLECTION AND ANALYSIS Two review authors independently selected studies and performed 'Risk of bias' assessments. We analyzed data using random-effects meta-analyses and assessed the certainty of the evidence with the GRADE approach. MAIN RESULTS We included 10 studies with 753 people with stroke. Five studies used physical activity interventions, four studies used a multicomponent lifestyle intervention, and one study used an intervention to reduce and interrupt sedentary behaviour. In all studies, the risk of bias was high or unclear in two or more domains. Nine studies had high risk of bias in at least one domain. The interventions did not increase or reduce deaths (risk difference (RD) 0.00, 95% confidence interval (CI) -0.02 to 0.03; 10 studies, 753 participants; low-certainty evidence), the incidence of recurrent cardiovascular or cerebrovascular events (RD -0.01, 95% CI -0.04 to 0.01; 10 studies, 753 participants; low-certainty evidence), the incidence of falls (and injuries) (RD 0.00, 95% CI -0.02 to 0.02; 10 studies, 753 participants; low-certainty evidence), or incidence of other adverse events (moderate-certainty evidence). Interventions did not increase or reduce the amount of sedentary behaviour time (mean difference (MD) +0.13 hours/day, 95% CI -0.42 to 0.68; 7 studies, 300 participants; very low-certainty evidence). There were too few data to examine effects on patterns of sedentary behaviour. The effect of interventions on cardiometabolic risk factors allowed very limited meta-analysis. AUTHORS' CONCLUSIONS Sedentary behaviour research in stroke seems important, yet the evidence is currently incomplete, and we found no evidence for beneficial effects. Current World Health Organization (WHO) guidelines recommend reducing the amount of sedentary time in people with disabilities, in general. The evidence is currently not strong enough to guide practice on how best to reduce sedentariness specifically in people with stroke. More high-quality randomised trials are needed, particularly involving participants with mobility limitations. Trials should include longer-term interventions specifically targeted at reducing time spent sedentary, risk factor outcomes, objective measures of sedentary behaviour (and physical activity), and long-term follow-up.
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Affiliation(s)
- David H Saunders
- Physical Activity for Health Research Centre (PAHRC), University of Edinburgh, Edinburgh, UK
| | - Gillian E Mead
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Claire Fitzsimons
- Physical Activity for Health Research Centre (PAHRC), University of Edinburgh, Edinburgh, UK
| | - Paul Kelly
- Physical Activity for Health Research Centre (PAHRC), University of Edinburgh, Edinburgh, UK
| | - Frederike van Wijck
- Institute for Applied Health Research and the School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | | | - Karianne Backx
- Institute for Sport, Physical Education and Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Coralie English
- Priority Research Centre for Stroke and Brain Injury, University of Newcastle, Newcastle, Australia
- NHMRC Centre of Research Excellence in Stroke Rehabilitation and Brain Recovery, Florey Institute of Neuroscience and Mental Health & Hunter Medical Research Institute, Melbourne and Newcastle, Australia
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27
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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: 2] [Impact Index Per Article: 0.7] [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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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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Juengst SB, Terhorst L, Nabasny A, Wallace T, Weaver JA, Osborne CL, Burns SP, Wright B, Wen PS, Kew CLN, Morris J. Use of mHealth Technology for Patient-Reported Outcomes in Community-Dwelling Adults with Acquired Brain Injuries: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:2173. [PMID: 33672183 PMCID: PMC7926536 DOI: 10.3390/ijerph18042173] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 02/16/2021] [Accepted: 02/18/2021] [Indexed: 11/26/2022]
Abstract
The purpose of our scoping review was to describe the current use of mHealth technology for long-term assessment of patient-reported outcomes in community-dwelling individuals with acquired brain injury (ABI). Following PRISMA guidelines, we conducted a scoping review of literature meeting these criteria: (1) civilians or military veterans, all ages; (2) self-reported or caregiver-reported outcomes assessed via mobile device in the community (not exclusively clinic/hospital); (3) published in English; (4) published in 2015-2019. We searched Ovid MEDLINE(R) < 1946 to 16 August 2019, MEDLINE InProcess, EPub, Embase, and PsycINFO databases for articles. Thirteen manuscripts representing 12 distinct studies were organized by type of ABI [traumatic brain injury (TBI) and stroke] to extract outcomes, mHealth technology used, design, and inclusion of ecological momentary assessment (EMA). Outcomes included post-concussive, depressive, and affective symptoms, fatigue, daily activities, stroke risk factors, and cognitive exertion. Overall, collecting patient-reported outcomes via mHealth was feasible and acceptable in the chronic ABI population. Studies consistently showed advantage for using EMA despite variability in EMA timing/schedules. To ensure best clinical measurement, research on post-ABI outcomes should consider EMA designs (versus single time-point assessments) that provide the best timing schedules for their respective aims and outcomes and that leverage mHealth for data collection.
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Affiliation(s)
- Shannon B. Juengst
- UT Southwestern Medical Center, Department of Physical Medicine & Rehabilitation, Dallas, TX 75390, USA; (A.N.); (C.L.O.); (B.W.); (C.-L.N.K.)
- UT Southwestern Medical Center, Department of Applied Clinical Research, Dallas, TX 75390, USA
| | - Lauren Terhorst
- Department of Occupational Therapy, University of Pittsburgh, Pittsburgh, PA 15219, USA;
| | - Andrew Nabasny
- UT Southwestern Medical Center, Department of Physical Medicine & Rehabilitation, Dallas, TX 75390, USA; (A.N.); (C.L.O.); (B.W.); (C.-L.N.K.)
- UT Southwestern Medical Center, Department of Applied Clinical Research, Dallas, TX 75390, USA
| | | | - Jennifer A. Weaver
- Department of Clinical Research & Leadership, George Washington University, Washington, DC 20006, USA;
| | - Candice L. Osborne
- UT Southwestern Medical Center, Department of Physical Medicine & Rehabilitation, Dallas, TX 75390, USA; (A.N.); (C.L.O.); (B.W.); (C.-L.N.K.)
| | - Suzanne Perea Burns
- School of Occupational Therapy, Texas Woman’s University, Denton, TX 76204, USA;
| | - Brittany Wright
- UT Southwestern Medical Center, Department of Physical Medicine & Rehabilitation, Dallas, TX 75390, USA; (A.N.); (C.L.O.); (B.W.); (C.-L.N.K.)
- UT Southwestern Medical Center, Department of Applied Clinical Research, Dallas, TX 75390, USA
| | - Pey-Shan Wen
- Department of Occupational Therapy, Georgia State University, Atlanta, GA 30303, USA;
| | - Chung-Lin Novelle Kew
- UT Southwestern Medical Center, Department of Physical Medicine & Rehabilitation, Dallas, TX 75390, USA; (A.N.); (C.L.O.); (B.W.); (C.-L.N.K.)
- UT Southwestern Medical Center, Department of Applied Clinical Research, Dallas, TX 75390, USA
| | - John Morris
- Shepherd Center, Atlanta, GA 30309, USA; (T.W.); (J.M.)
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Bellomo RG, Paolucci T, Saggino A, Pezzi L, Bramanti A, Cimino V, Tommasi M, Saggini R. The WeReha Project for an Innovative Home-Based Exercise Training in Chronic Stroke Patients: A Clinical Study. J Cent Nerv Syst Dis 2020; 12:1179573520979866. [PMID: 33402861 PMCID: PMC7739083 DOI: 10.1177/1179573520979866] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 11/16/2020] [Indexed: 12/16/2022] Open
Abstract
Background Telerehabilitation (TR) in chronic stroke patients has emerged as a promising modality to deliver rehabilitative treatment-at-home. The primary objective of our methodical clinical study was to determine the efficacy of a novel rehabilitative device in terms of recovery of function in daily activities and patient satisfaction and acceptance of the medical device provided. Methods A 12-week physiotherapy program (balance exercises, upper and lower limb exercises with specific motor tasks using a biofeedback system and exergaming) was administered using the WeReha device. Twenty-five (N = 25) chronic stroke outpatients were enrolled, and the data of 22 patients was analyzed. Clinical data and functional parameters were collected by Berg Balance scale (BBS), Barthel Index (BI), Fugl-Meyer scale (FM), Modified Rankin scale (mRS), and Technology Acceptance Model (TAM) questionnaire at baseline (T0), after treatment (T1), and at the 12-week follow-up (T2). Statistical tests were used to detect significant differences (P < .05), and Cohen's (Co) value was calculated. Results BI scores improved significantly after treatment (P = .036; Co 0.776, medium), as well as BBS scores (P = .008; Co 1.260, high). The results in FM scale (P = .003) and mRS scores (P = .047) were significant post treatment. Follow-up scores remained stable across all scales, except the BI. The A and C sub-scales of the TAM correlated significantly to only a T2 to T1 difference for BI scores with P = .021 and P = .042. Conclusion Currently, the WeReha program is not the conventional therapy for stroke patients, but it could be an integrative telerehabilitative resource for such patients as a conventional exercise program-at-home.ClinicalTrials.gov identifier: NCT03964662.
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Affiliation(s)
- Rosa Grazia Bellomo
- Department of Biomolecular Sciences, University of Study of Urbino Carlo Bo, Urbino, Italy
| | - Teresa Paolucci
- Unit of Physical Medicine and Rehabilitation, Department of Oral Medical Science and Biotechnology (DSMOB), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Aristide Saggino
- School of Medicine and Health Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Letizia Pezzi
- Unit of Physical Medicine and Rehabilitation, Department of Oral Medical Science and Biotechnology (DSMOB), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | | | | | - Marco Tommasi
- School of Medicine and Health Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Raoul Saggini
- Unit of Physical Medicine and Rehabilitation, Department of Oral Medical Science and Biotechnology (DSMOB), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.,IRCSS Centro Neurolesi "Bonino Pulejo", Messina, Italy
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Using an Accelerometer-Based Step Counter in Post-Stroke Patients: Validation of a Low-Cost Tool. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17093177. [PMID: 32370210 PMCID: PMC7246942 DOI: 10.3390/ijerph17093177] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 04/29/2020] [Accepted: 04/29/2020] [Indexed: 11/29/2022]
Abstract
Monitoring the real-life mobility of stroke patients could be extremely useful for clinicians. Step counters are a widely accessible, portable, and cheap technology that can be used to monitor patients in different environments. The aim of this study was to validate a low-cost commercial tri-axial accelerometer-based step counter for stroke patients and to determine the best positioning of the step counter (wrists, ankles, and waist). Ten healthy subjects and 43 post-stroke patients were enrolled and performed four validated clinical tests (10 m, 50 m, and 6 min walking tests and timed up and go tests) while wearing five step counters in different positions while a trained operator counted the number of steps executed in each test manually. Data from step counters and those collected manually were compared using the intraclass coefficient correlation and mean average percentage error. The Bland–Altman plot was also used to describe agreement between the two quantitative measurements (step counter vs. manual counting). During walking tests in healthy subjects, the best reliability was found for lower limbs and waist placement (intraclass coefficient correlations (ICCs) from 0.46 to 0.99), and weak reliability was observed for upper limb placement in every test (ICCs from 0.06 to 0.38). On the contrary, in post-stroke patients, moderate reliability was found only for the lower limbs in the 6 min walking test (healthy ankle ICC: 0.69; pathological ankle ICC: 0.70). Furthermore, the Bland–Altman plot highlighted large average discrepancies between methods for the pathological group. However, while the step counter was not able to reliably determine steps for slow patients, when applied to the healthy ankle of patients who walked faster than 0.8 m/s, it counted steps with excellent precision, similar to that seen in the healthy subjects (ICCs from 0.36 to 0.99). These findings show that a low-cost accelerometer-based step counter could be useful for measuring mobility in select high-performance patients and could be used in clinical and real-world settings.
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Louie DR, Bird ML, Menon C, Eng JJ. Perspectives on the prospective development of stroke-specific lower extremity wearable monitoring technology: a qualitative focus group study with physical therapists and individuals with stroke. J Neuroeng Rehabil 2020; 17:31. [PMID: 32098628 PMCID: PMC7041185 DOI: 10.1186/s12984-020-00666-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 02/14/2020] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Wearable activity monitors that track step count can increase the wearer's physical activity and motivation but are infrequently designed for the slower gait speed and compensatory patterns after stroke. New and available technology may allow for the design of stroke-specific wearable monitoring devices, capable of detecting more than just step counts, which may enhance how rehabilitation is delivered. The objective of this study was to identify important considerations in the development of stroke-specific lower extremity wearable monitoring technology for rehabilitation, from the perspective of physical therapists and individuals with stroke. METHODS A qualitative research design with focus groups was used to collect data. Five focus groups were conducted, audio recorded, and transcribed verbatim. Data were analyzed using content analysis to generate overarching categories representing the stakeholder considerations for the development of stroke-specific wearable monitor technology for the lower extremity. RESULTS A total of 17 physical therapists took part in four focus group discussions and three individuals with stroke participated in the fifth focus group. Our analysis identified four main categories for consideration: 1) 'Variability' described the heterogeneity of patient presentation, therapy approaches, and therapeutic goals that are taken into account for stroke rehabilitation; 2) 'Context of use' described the different settings and purposes for which stakeholders could foresee employing stroke-specific wearable technology; 3) 'Crucial design features' identified the measures, functions, and device characteristics that should be considered for incorporation into prospective technology to enhance uptake; and 4) 'Barriers to adopting technology' highlighted challenges, including personal attitudes and design flaws, that may limit the integration of current and future wearable monitoring technology into clinical practice. CONCLUSIONS The findings from this qualitative study suggest that the development of stroke-specific lower extremity wearable monitoring technology is viewed positively by physical therapists and individuals with stroke. While a single, specific device or function may not accommodate all the variable needs of therapists and their clients, it was agreed that wearable monitoring technology could enhance how physical therapists assess and treat their clients. Future wearable devices should be developed in consideration of the highlighted design features and potential barriers for uptake.
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Affiliation(s)
- Dennis R Louie
- Graduate Program in Rehabilitation Sciences, Faculty of Medicine, University of British Columbia, 212-2177 Wesbrook Mall, Vancouver, BC, V6T 1Z3, Canada
- Rehabilitation Research Program, GF Strong Rehabilitation Research Lab, Vancouver Coastal Health Research Institute, 4255 Laurel Street, Vancouver, BC, V5Z 2G9, Canada
| | - Marie-Louise Bird
- Rehabilitation Research Program, GF Strong Rehabilitation Research Lab, Vancouver Coastal Health Research Institute, 4255 Laurel Street, Vancouver, BC, V5Z 2G9, Canada
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, 212-2177 Wesbrook Mall, Vancouver, BC, V6T 1Z3, Canada
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Locked Bag 1322, Launceston, TAS 7250, Australia
| | - Carlo Menon
- Menrva lab, Schools of Mechatronic Systems and Engineering Science, Simon Fraser University, Metro Vancouver, BC, V5A 1S6, Canada
| | - Janice J Eng
- Rehabilitation Research Program, GF Strong Rehabilitation Research Lab, Vancouver Coastal Health Research Institute, 4255 Laurel Street, Vancouver, BC, V5Z 2G9, Canada.
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, 212-2177 Wesbrook Mall, Vancouver, BC, V6T 1Z3, Canada.
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Hassett L, van den Berg M, Lindley RI, Crotty M, McCluskey A, van der Ploeg HP, Smith ST, Schurr K, Howard K, Hackett ML, Killington M, Bongers B, Togher L, Treacy D, Dorsch S, Wong S, Scrivener K, Chagpar S, Weber H, Pinheiro M, Heritier S, Sherrington C. Digitally enabled aged care and neurological rehabilitation to enhance outcomes with Activity and MObility UsiNg Technology (AMOUNT) in Australia: A randomised controlled trial. PLoS Med 2020; 17:e1003029. [PMID: 32069288 PMCID: PMC7028259 DOI: 10.1371/journal.pmed.1003029] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2019] [Accepted: 01/22/2020] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Digitally enabled rehabilitation may lead to better outcomes but has not been tested in large pragmatic trials. We aimed to evaluate a tailored prescription of affordable digital devices in addition to usual care for people with mobility limitations admitted to aged care and neurological rehabilitation. METHODS AND FINDINGS We conducted a pragmatic, outcome-assessor-blinded, parallel-group randomised trial in 3 Australian hospitals in Sydney and Adelaide recruiting adults 18 to 101 years old with mobility limitations undertaking aged care and neurological inpatient rehabilitation. Both the intervention and control groups received usual multidisciplinary inpatient and post-hospital rehabilitation care as determined by the treating rehabilitation clinicians. In addition to usual care, the intervention group used devices to target mobility and physical activity problems, individually prescribed by a physiotherapist according to an intervention protocol, including virtual reality video games, activity monitors, and handheld computer devices for 6 months in hospital and at home. Co-primary outcomes were mobility (performance-based Short Physical Performance Battery [SPPB]; continuous version; range 0 to 3; higher score indicates better mobility) and upright time as a proxy measure of physical activity (proportion of the day upright measured with activPAL) at 6 months. The dataset was analysed using intention-to-treat principles. The trial was prospectively registered with the Australian New Zealand Clinical Trials Registry (ACTRN12614000936628). Between 22 September 2014 and 10 November 2016, 300 patients (mean age 74 years, SD 14; 50% female; 54% neurological condition causing activity limitation) were randomly assigned to intervention (n = 149) or control (n = 151) using a secure online database (REDCap) to achieve allocation concealment. Six-month assessments were completed by 258 participants (129 intervention, 129 control). Intervention participants received on average 12 (SD 11) supervised inpatient sessions using 4 (SD 1) different devices and 15 (SD 5) physiotherapy contacts supporting device use after hospital discharge. Changes in mobility scores were higher in the intervention group compared to the control group from baseline (SPPB [continuous, 0-3] mean [SD]: intervention group, 1.5 [0.7]; control group, 1.5 [0.8]) to 6 months (SPPB [continuous, 0-3] mean [SD]: intervention group, 2.3 [0.6]; control group, 2.1 [0.8]; mean between-group difference 0.2 points, 95% CI 0.1 to 0.3; p = 0.006). However, there was no evidence of a difference between groups for upright time at 6 months (mean [SD] proportion of the day spent upright at 6 months: intervention group, 18.2 [9.8]; control group, 18.4 [10.2]; mean between-group difference -0.2, 95% CI -2.7 to 2.3; p = 0.87). Scores were higher in the intervention group compared to the control group across most secondary mobility outcomes, but there was no evidence of a difference between groups for most other secondary outcomes including self-reported balance confidence and quality of life. No adverse events were reported in the intervention group. Thirteen participants died while in the trial (intervention group: 9; control group: 4) due to unrelated causes, and there was no evidence of a difference between groups in fall rates (unadjusted incidence rate ratio 1.19, 95% CI 0.78 to 1.83; p = 0.43). Study limitations include 15%-19% loss to follow-up at 6 months on the co-primary outcomes, as anticipated; the number of secondary outcome measures in our trial, which may increase the risk of a type I error; and potential low statistical power to demonstrate significant between-group differences on important secondary patient-reported outcomes. CONCLUSIONS In this study, we observed improved mobility in people with a wide range of health conditions making use of digitally enabled rehabilitation, whereas time spent upright was not impacted. TRIAL REGISTRATION The trial was prospectively registered with the Australian New Zealand Clinical Trials Register; ACTRN12614000936628.
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Affiliation(s)
- Leanne Hassett
- Institute for Musculoskeletal Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Maayken van den Berg
- Rehabilitation, Aged and Extended Care, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
- Clinical Rehabilitation, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia
| | - Richard I. Lindley
- Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Maria Crotty
- Rehabilitation, Aged and Extended Care, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Annie McCluskey
- School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- StrokeEd Collaboration, Sydney, New South Wales, Australia
| | - Hidde P. van der Ploeg
- Department of Public & Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Stuart T. Smith
- School of Health and Human Sciences, Southern Cross University, Coffs Harbour, New South Wales, Australia
| | - Karl Schurr
- StrokeEd Collaboration, Sydney, New South Wales, Australia
| | - Kirsten Howard
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Maree L. Hackett
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Faculty of Health and Wellbeing, University of Central Lancashire, Preston, United Kingdom
| | - Maggie Killington
- Rehabilitation, Aged and Extended Care, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Bert Bongers
- Faculty of Design, Architecture and Building, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Leanne Togher
- School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Daniel Treacy
- Institute for Musculoskeletal Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Physiotherapy Department, Prince of Wales Hospital, South Eastern Sydney Local Health District, Sydney, New South Wales, Australia
| | - Simone Dorsch
- StrokeEd Collaboration, Sydney, New South Wales, Australia
- Physiotherapy Department and Department of Aged Care and Rehabilitation, Bankstown-Lidcombe Hospital, South Western Sydney Local Health District, Sydney, New South Wales, Australia
- School of Physiotherapy, Faculty of Health Sciences, Australian Catholic University, Sydney, New South Wales, Australia
| | - Siobhan Wong
- Institute for Musculoskeletal Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Physiotherapy Department and Brain Injury Rehabilitation Unit, Liverpool Hospital, South Western Sydney Local Health District, Sydney, New South Wales, Australia
| | - Katharine Scrivener
- StrokeEd Collaboration, Sydney, New South Wales, Australia
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Sakina Chagpar
- Institute for Musculoskeletal Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Heather Weber
- Rehabilitation, Aged and Extended Care, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Marina Pinheiro
- Institute for Musculoskeletal Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Stephane Heritier
- Department of Epidemiology and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Catherine Sherrington
- Institute for Musculoskeletal Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- * E-mail:
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Rykov Y, Thach TQ, Dunleavy G, Roberts AC, Christopoulos G, Soh CK, Car J. Activity Tracker-Based Metrics as Digital Markers of Cardiometabolic Health in Working Adults: Cross-Sectional Study. JMIR Mhealth Uhealth 2020; 8:e16409. [PMID: 32012098 PMCID: PMC7055791 DOI: 10.2196/16409] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 10/26/2019] [Accepted: 12/16/2019] [Indexed: 12/19/2022] Open
Abstract
Background Greater adoption of wearable devices with multiple sensors may enhance personalized health monitoring, facilitate early detection of some diseases, and further scale up population health screening. However, few studies have explored the utility of data from wearable fitness trackers in cardiovascular and metabolic disease risk prediction. Objective This study aimed to investigate the associations between a range of activity metrics derived from a wearable consumer-grade fitness tracker and major modifiable biomarkers of cardiometabolic disease in a working-age population. Methods This was a cross-sectional study of 83 working adults. Participants wore Fitbit Charge 2 for 21 consecutive days and went through a health assessment, including fasting blood tests. The following clinical biomarkers were collected: BMI, waist circumference, waist-to-hip ratio, blood pressure, triglycerides (TGs), high-density lipoprotein (HDL) and low-density lipoprotein cholesterol, and blood glucose. We used a range of wearable-derived metrics based on steps, heart rate (HR), and energy expenditure, including measures of stability of circadian activity rhythms, sedentary time, and time spent at various intensities of physical activity. Spearman rank correlation was used for preliminary analysis. Multiple linear regression adjusted for potential confounders was used to determine the extent to which each metric of activity was associated with continuous clinical biomarkers. In addition, pairwise multiple regression was used to investigate the significance and mutual dependence of activity metrics when two or more of them had significant association with the same outcome from the previous step of the analysis. Results The participants were predominantly middle aged (mean age 44.3 years, SD 12), Chinese (62/83, 75%), and male (64/83, 77%). Blood biomarkers of cardiometabolic disease (HDL cholesterol and TGs) were significantly associated with steps-based activity metrics independent of age, gender, ethnicity, education, and shift work, whereas body composition biomarkers (BMI, waist circumference, and waist-to-hip ratio) were significantly associated with energy expenditure–based and HR-based metrics when adjusted for the same confounders. Steps-based interdaily stability of circadian activity rhythm was strongly associated with HDL (beta=5.4 per 10% change; 95% CI 1.8 to 9.0; P=.005) and TG (beta=−27.7 per 10% change; 95% CI −48.4 to −7.0; P=.01). Average daily steps were negatively associated with TG (beta=−6.8 per 1000 steps; 95% CI −13.0 to −0.6; P=.04). The difference between average HR and resting HR was significantly associated with BMI (beta=−.5; 95% CI −1.0 to −0.1; P=.01) and waist circumference (beta=−1.3; 95% CI −2.4 to −0.2; P=.03). Conclusions Wearable consumer-grade fitness trackers can provide acceptably accurate and meaningful information, which might be used in the risk prediction of cardiometabolic disease. Our results showed the beneficial effects of stable daily patterns of locomotor activity for cardiometabolic health. Study findings should be further replicated with larger population studies.
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Affiliation(s)
- Yuri Rykov
- Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Thuan-Quoc Thach
- Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Gerard Dunleavy
- Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Adam Charles Roberts
- School of Mechanical and Aerospace Engineering, College of Engineering, Nanyang Technological University, Singapore, Singapore
| | - George Christopoulos
- Division of Leadership, Management and Organisation, Nanyang Business School, College of Business, Nanyang Technological University, Singapore, Singapore
| | - Chee-Kiong Soh
- School of Civil and Environmental Engineering, College of Engineering, Nanyang Technological University, Singapore, Singapore
| | - Josip Car
- Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
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Murayama I, Asai T, Misu S, Yamauchi M, Miura A, Ikemura T, Takehisa T, Takehisa Y. Is increased "stay away from bed" time associated with improved clinical rehabilitation outcomes in Japanese rehabilitation hospitals? A prospective observational study and clinical practice. Aging Clin Exp Res 2019; 32:913-920. [PMID: 31327123 PMCID: PMC7190592 DOI: 10.1007/s40520-019-01269-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 07/04/2019] [Indexed: 11/15/2022]
Abstract
Background A comprehensive team approach for increasing stay away from bed time (SaB-time) called CASaB was conducted at multiple rehabilitation hospitals. Aims The aim of the present study was to investigate the association between SaB-time and clinical rehabilitation outcomes (CROs) before introducing CASaB (observational phase), and comparing CROs before and after CASaB (CASaB phase). Methods This prospective observational study included patients who were admitted to nine rehabilitation hospitals, with complete data. The final analysis included 197/229 patients in the observation phase, and 229/256 patients in the CASaB phase. We first tested whether SaB-time was positively associated with CROs in an observational study, then compared CROs before and after CASaB. Results In the observation phase, longer SaB-time was significantly associated with greater rehabilitation efficiency (REy) after adjusting for confounders (standardized β = 0.20, p = 0.007). In a comparison of CROs before and after CASaB, the length of hospital stay during the CASaB phase was significantly shorter than during the observational phase (61.5, 57.6–65.4 days vs 75.6, 71.4–79.9 days, p < 0.001), and the REy after CASaB was significantly greater than that before the CASaB (0.38, 0.33–0.42/day vs 0.28, 0.25–0.33/day, p = 0.006). Discussion The current results suggest that increasing SaB-time may help the recovery of functional abilities, particularly for patients in rehabilitation hospitals. Conclusions The CASaB provides a method for improving the recovery efficiency of patients in rehabilitation hospitals.
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The Impact of Physical Activity Before and After Stroke on Stroke Risk and Recovery: a Narrative Review. Curr Neurol Neurosci Rep 2019; 19:28. [PMID: 31011851 DOI: 10.1007/s11910-019-0949-4] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
PURPOSE OF THE REVIEW Summarising the evidence for pre- and post-stroke physical activity (PA) and exercise to reduce stroke risk, and improve recovery and brain health. RECENT FINDINGS Pre-stroke PA reduces the risk of stroke, and post-stroke PA and exercise reduce cardiovascular risk factors, which can moderate the risk of recurrent strokes. Pre-clinical evidence indicates that exercise enhances neuroplasticity. The results from clinical studies showed that exercise changes brain activity patterns in stroke survivors, which can be a signal neuroplasticity. The intensity of pre- and post-stroke PA and exercise is a key factor with higher intensities leading to greater benefits, including improvement in fitness. Having low fitness levels is an independent predictor for increased risk of stroke. Higher intensity leads to greater benefits; however, the optimum intensity of PA and exercise is yet unknown and needs to be further investigated. Strategies to decrease sedentary behaviour and improve fitness need to be considered.
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Lynch EA, Jones TM, Simpson DB, Fini NA, Kuys SS, Borschmann K, Kramer S, Johnson L, Callisaya ML, Mahendran N, Janssen H, English C. Activity monitors for increasing physical activity in adult stroke survivors. Cochrane Database Syst Rev 2018; 7:CD012543. [PMID: 30051462 PMCID: PMC6513611 DOI: 10.1002/14651858.cd012543.pub2] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Stroke is the third leading cause of disability worldwide. Physical activity is important for secondary stroke prevention and for promoting functional recovery. However, people with stroke are more inactive than healthy age-matched controls. Therefore, interventions to increase activity after stroke are vital to reduce stroke-related disability. OBJECTIVES To summarise the available evidence regarding the effectiveness of commercially available, wearable activity monitors and smartphone applications for increasing physical activity levels in people with stroke. SEARCH METHODS We searched the Cochrane Stroke Group Trials Register, CENTRAL, MEDLINE, Embase, CINAHL, SPORTDiscus, and the following clinical trial registers: WHO International Clinical Trials Registry Platform, Clinical Trials, EU Clinical Trial Register, ISRCTN Registry, Australian and New Zealand Clinical Trial Registry, and Stroke Trials Registry to 3 March 2018. We also searched reference lists, Web of Science forward tracking, and Google Scholar, and contacted trial authors to obtain further data if required. We did not restrict the search on language or publication status. SELECTION CRITERIA We included all randomised controlled trials (RCTs) and randomised cross-over trials that included use of activity monitors versus no intervention, another type of intervention, or other activity monitor. Participants were aged 18 years or older with a diagnosis of stroke, in hospital or living in the community. Primary outcome measures were steps per day and time in moderate-to-vigorous intensity activity. Secondary outcomes were sedentary time, time spent in light intensity physical activity, walking duration, fatigue, mood, quality of life, community participation and adverse events. We excluded upper limb monitors that only measured upper limb activity. DATA COLLECTION AND ANALYSIS We followed standard Cochrane methodology to analyse and interpret the data. At least two authors independently screened titles and abstracts for inclusion. We resolved disagreements by consulting a third review author. We extracted the following data from included studies into a standardised template: type of study, participant population, study setting, intervention and co-interventions, time-frame, and outcomes. We graded levels of bias as high, low, or unclear, and assessed the quality of evidence for each outcome using the GRADE approach. MAIN RESULTS We retrieved 28,098 references, from which we identified 29 potential articles. Four RCTs (in 11 reports) met the inclusion criteria.The sample sizes ranged from 27 to 135 (total 245 participants). Time poststroke varied from less than one week (n = 1), to one to three months (n = 2), or a median of 51 months (n = 1). Stroke severity ranged from a median of one to six on the National Institutes of Health Stroke Scale (NIHSS). Three studies were conducted in inpatient rehabilitation, and one was in a university laboratory. All studies compared use of activity monitor plus another intervention (e.g. a walking retraining programme or an inpatient rehabilitation programme) versus the other intervention alone. Three studies reported on the primary outcome of daily step counts.There was no clear effect for the use of activity monitors in conjunction with other interventions on step count in a community setting (mean difference (MD) -1930 steps, 95% confidence interval (CI) -4410 to 550; 1 RCT, 27 participants; very low-quality evidence), or in an inpatient rehabilitation setting (MD 1400 steps, 95% CI -40 to 2840; 2 RCTs, 83 participants; very low-quality evidence). No studies reported the primary outcome moderate-to-vigorous physical activity, but one did report time spent in moderate and vigorous intensity activity separately: this study reported that an activity monitor in addition to usual inpatient rehabilitation increased the time spent on moderate intensity physical activity by 4.4 minutes per day (95% CI 0.28 to 8.52; 1 RCT, 48 participants; low-quality evidence) compared with usual rehabilitation alone, but there was no clear effect for the use of an activity monitor plus usual rehabilitation for increasing time spent in vigorous intensity physical activity compared to usual rehabilitation (MD 2.6 minutes per day, 95% CI -0.8 to 6; 1 RCT, 48 participants; low-quality evidence). The overall risk of bias was low, apart from high-risk for blinding of participants and study personnel. None of the included studies reported any information relating to adverse effects. AUTHORS' CONCLUSIONS Only four small RCTs with 274 participants (three in inpatient rehabilitation and one in the community) have examined the efficacy of activity monitors for increasing physical activity after stroke. Although these studies showed activity monitors could be incorporated into practice, there is currently not enough evidence to support the use of activity monitors to increase physical activity after stroke.
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Affiliation(s)
- Elizabeth A Lynch
- The University of AdelaideAdelaide Nursing SchoolAdelaideSouth AustraliaAustralia
- University of MelbourneThe Florey Institute of Neuroscience and Mental HealthHeidelbergVICAustralia
- NHMRC Centre of Research Excellence in Stroke Rehabilitation and Brain Recovery, Florey Institute of Neuroscience and Mental Health & Hunter Medical Research InstituteMelbourne and NewcastleAustralia
| | - Taryn M Jones
- Macquarie UniversityFaculty of Medicine and Health SciencesSydneyAustralia2109
| | - Dawn B Simpson
- University of TasmaniaMenzies Institute for Medical ResearchHobartAustralia
| | - Natalie A Fini
- The University of MelbournePhysiotherapy DepartmentLevel 7, Alan Gilbert BuildingMelbourneVICAustralia3010
- La Trobe UniversitySchool of Allied HealthMelbourneAustralia
| | - Suzanne S Kuys
- Australian Catholic UniversitySchool of PhysiotherapyBrisbaneQLDAustralia4114
| | - Karen Borschmann
- University of MelbourneThe Florey Institute of Neuroscience and Mental HealthHeidelbergVICAustralia
- NHMRC Centre of Research Excellence in Stroke Rehabilitation and Brain Recovery, Florey Institute of Neuroscience and Mental Health & Hunter Medical Research InstituteMelbourne and NewcastleAustralia
| | - Sharon Kramer
- University of MelbourneThe Florey Institute of Neuroscience and Mental HealthHeidelbergVICAustralia
| | - Liam Johnson
- University of MelbourneThe Florey Institute of Neuroscience and Mental HealthHeidelbergVICAustralia
- NHMRC Centre of Research Excellence in Stroke Rehabilitation and Brain Recovery, Florey Institute of Neuroscience and Mental Health & Hunter Medical Research InstituteMelbourne and NewcastleAustralia
| | | | - Niruthikha Mahendran
- University of CanberraDiscipline of Physiotherapy, Faculty of HealthCanberraAustralia2617
| | - Heidi Janssen
- NHMRC Centre of Research Excellence in Stroke Rehabilitation and Brain Recovery, Florey Institute of Neuroscience and Mental Health & Hunter Medical Research InstituteMelbourne and NewcastleAustralia
- University of NewcastlePriority Research Centre for Stroke and Brain InjuryNewcastleAustralia
- Hunter New England HealthCommunity Aged Care and Hunter Stroke ServiceNew Lambton HeightsNSWAustralia2305
| | - Coralie English
- NHMRC Centre of Research Excellence in Stroke Rehabilitation and Brain Recovery, Florey Institute of Neuroscience and Mental Health & Hunter Medical Research InstituteMelbourne and NewcastleAustralia
- University of NewcastlePriority Research Centre for Stroke and Brain InjuryNewcastleAustralia
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