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Marwaa MN, Guidetti S, Ytterberg C, Kristensen HK. Acceptability of two mobile applications to support cross-sectoral, person-centred and empowering stroke rehabilitation - a process evaluation. Ann Med 2024; 56:2302979. [PMID: 38466794 PMCID: PMC10930108 DOI: 10.1080/07853890.2024.2302979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 12/04/2023] [Indexed: 03/13/2024] Open
Abstract
AIM To evaluate the acceptability of two co-designed mobile applications Mit Sygehus [a knowledge-based solution] and Genoptræn.dk [a self-training solution] to support a cross-sectoral, person-centred and empowering stroke rehabilitation. SETTING The applications were implemented and tested throughout two stroke rehabilitation trajectories in Southern Denmark, comprising two acute, two sub-acute and two municipal stroke rehabilitation settings. METHODS, PARTICIPANTS AND ANALYSIS A process evaluation focusing on acceptability was conducted. Individual and dyadic interviews were performed with ten stroke survivors (three women and seven men, aged 50-84) with moderate stroke and seven significant others (five women and two men, aged 50-78) post-rehabilitation. A constructivist Grounded Theory analysis was used to explore what, why, when, and how the apps worked or did not work throughout the stroke rehabilitation trajectory and if adaptions were needed. RESULTS Participants found that Mit Sygehus provided adequate and sufficient knowledge and was easy to use, however, acceptability of Mit Sygehus declined throughout the rehabilitation process. Also, knowledge on 'return-to-work' and 're-gaining driver's license/permission to drive' needed to be developed. The content in Genoptræn.dk was perceived as acceptable, through content being person-centred, motivating and meaningful. Genoptræn.dk furthermore, supported the transfer between rehabilitation settings, provided a sense of progress throughout the rehabilitation process, facilitated positive habits regarding self-training, and relieved the burden on significant others. Genoptræn.dk was perceived most acceptable in the sub-acute rehabilitation setting and declined when rehabilitation continued in the municipal setting. CONCLUSION Stroke survivors and their significant others found Mit Sygehus and Genoptræn.dk acceptable to support cross-sectoral, person-centred and empowering stroke rehabilitation, however acceptability declined throughout the rehabilitation process. Further investigations are required to determine how cognitive rehabilitation can play a greater role in app-supported stroke rehabilitation and how the need for more long-term follow-up can be supported.
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Affiliation(s)
- Mille Nabsen Marwaa
- Department of Physiotherapy Education, University College Southern Denmark, Esbjerg, Denmark
- Department of Clinical Research, Center for Innovative Medical Technologies, University of Southern Denmark, Odense, Denmark
| | - Susanne Guidetti
- Department of Neurobiology Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
- Women’s Health and Allied Health Professionals Theme, Karolinska University Hospital, Stockholm, Sweden
| | - Charlotte Ytterberg
- Department of Neurobiology Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
- Women’s Health and Allied Health Professionals Theme, Karolinska University Hospital, Stockholm, Sweden
- Geriatric Research Unit, Department of Clinical Research, University Hospital Odense, University of Southern Denmark, Odense, Denmark
| | - Hanne Kaae Kristensen
- Department of Clinical Research, Center for Innovative Medical Technologies, University of Southern Denmark, Odense, Denmark
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Neumann S, Bauer CM, Nastasi L, Läderach J, Thürlimann E, Schwarz A, Held JPO, Easthope CA. Accuracy, concurrent validity, and test-retest reliability of pressure-based insoles for gait measurement in chronic stroke patients. Front Digit Health 2024; 6:1359771. [PMID: 38633383 PMCID: PMC11021704 DOI: 10.3389/fdgth.2024.1359771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 03/11/2024] [Indexed: 04/19/2024] Open
Abstract
Introduction Wearables are potentially valuable tools for understanding mobility behavior in individuals with neurological disorders and how it changes depending on health status, such as after rehabilitation. However, the accurate detection of gait events, which are crucial for the evaluation of gait performance and quality, is challenging due to highly individual-specific patterns that also vary greatly in movement and speed, especially after stroke. Therefore, the purpose of this study was to assess the accuracy, concurrent validity, and test-retest reliability of a commercially available insole system in the detection of gait events and the calculation of stance duration in individuals with chronic stroke. Methods Pressure insole data were collected from 17 individuals with chronic stroke during two measurement blocks, each comprising three 10-min walking tests conducted in a clinical setting. The gait assessments were recorded with a video camera that served as a ground truth, and pressure insoles as an experimental system. We compared the number of gait events and stance durations between systems. Results and discussion Over all 3,820 gait events, 90.86% were correctly identified by the insole system. Recall values ranged from 0.994 to 1, with a precision of 1 for all measurements. The F1 score ranged from 0.997 to 1. Excellent absolute agreement (Intraclass correlation coefficient, ICC = 0.874) was observed for the calculation of the stance duration, with a slightly longer stance duration recorded by the insole system (difference of -0.01 s). Bland-Altmann analysis indicated limits of agreement of 0.33 s that were robust to changes in walking speed. This consistency makes the system well-suited for individuals post-stroke. The test-retest reliability between measurement timepoints T1 and T2 was excellent (ICC = 0.928). The mean difference in stance duration between T1 and T2 was 0.03 s. We conclude that the insole system is valid for use in a clinical setting to quantitatively assess continuous walking in individuals with stroke.
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Affiliation(s)
- Saskia Neumann
- DART, Lake Lucerne Institute, Vitznau, Switzerland
- Cereneo Foundation, Vitznau, Switzerland
| | | | - Luca Nastasi
- DART, Lake Lucerne Institute, Vitznau, Switzerland
- Cereneo Foundation, Vitznau, Switzerland
| | | | - Eva Thürlimann
- Vascular Neurology and Neurorehabilitation, University of Zurich, Zurich, Switzerland
| | - Anne Schwarz
- Vascular Neurology and Neurorehabilitation, University of Zurich, Zurich, Switzerland
| | - Jeremia P. O. Held
- Vascular Neurology and Neurorehabilitation, University of Zurich, Zurich, Switzerland
| | - Chris A. Easthope
- DART, Lake Lucerne Institute, Vitznau, Switzerland
- Cereneo Foundation, Vitznau, Switzerland
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Francisco L, Duarte J, Godinho AN, Zdravevski E, Albuquerque C, Pires IM, Coelho PJ. Sensor-based systems for the measurement of Functional Reach Test results: a systematic review. PeerJ Comput Sci 2024; 10:e1823. [PMID: 38660214 PMCID: PMC11042010 DOI: 10.7717/peerj-cs.1823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 12/26/2023] [Indexed: 04/26/2024]
Abstract
The measurement of Functional Reach Test (FRT) is a widely used assessment tool in various fields, including physical therapy, rehabilitation, and geriatrics. This test evaluates a person's balance, mobility, and functional ability to reach forward while maintaining stability. Recently, there has been a growing interest in utilizing sensor-based systems to objectively and accurately measure FRT results. This systematic review was performed in various scientific databases or publishers, including PubMed Central, IEEE Explore, Elsevier, Springer, the Multidisciplinary Digital Publishing Institute (MDPI), and the Association for Computing Machinery (ACM), and considered studies published between January 2017 and October 2022, related to methods for the automation of the measurement of the Functional Reach Test variables and results with sensors. Camera-based devices and motion-based sensors are used for Functional Reach Tests, with statistical models extracting meaningful information. Sensor-based systems offer several advantages over traditional manual measurement techniques, as they can provide objective and precise measurements of the reach distance, quantify postural sway, and capture additional parameters related to the movement.
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Affiliation(s)
- Luís Francisco
- School of Technology and Management, Polytechnic University of Leiria, Leiria, Portugal
| | - João Duarte
- School of Technology and Management, Polytechnic University of Leiria, Leiria, Portugal
| | | | - Eftim Zdravevski
- Faculty of Computer Science and Engineering, University of Sts. Cyril and Methodius, Skopje, North Macedonia
| | - Carlos Albuquerque
- Child Studies Research Center (CIEC), University of Minho, Braga, Portugal
- Higher School of Health, Polytechnic Institute of Viseu, Viseu, Portugal
- Nursing School of Coimbra (ESEnfC), Health Sciences Research Unit: Nursing (UICISA: E), Coimbra, Portugal
| | - Ivan Miguel Pires
- Instituto de Telecomunicações, Escola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveiro, Águeda, Portugal
| | - Paulo Jorge Coelho
- School of Technology and Management, Polytechnic University of Leiria, Leiria, Portugal
- Institute for Systems Engineering and Computers at Coimbra (INESC Coimbra), Coimbra, Portugal
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Francisco L, Duarte J, Albuquerque C, Albuquerque D, Pires IM, Coelho PJ. Mobile Data Gathering and Preliminary Analysis for the Functional Reach Test. SENSORS (BASEL, SWITZERLAND) 2024; 24:1301. [PMID: 38400459 PMCID: PMC10892343 DOI: 10.3390/s24041301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 02/11/2024] [Accepted: 02/15/2024] [Indexed: 02/25/2024]
Abstract
The functional reach test (FRT) is a clinical tool used to evaluate dynamic balance and fall risk in older adults and those with certain neurological diseases. It provides crucial information for developing rehabilitation programs to improve balance and reduce fall risk. This paper aims to describe a new tool to gather and analyze the data from inertial sensors to allow automation and increased reliability in the future by removing practitioner bias and facilitating the FRT procedure. A new tool for gathering and analyzing data from inertial sensors has been developed to remove practitioner bias and streamline the FRT procedure. The study involved 54 senior citizens using smartphones with sensors to execute FRT. The methods included using a mobile app to gather data, using sensor-fusion algorithms like the Madgwick algorithm to estimate orientation, and attempting to estimate location by twice integrating accelerometer data. However, accurate position estimation was difficult, highlighting the need for more research and development. The study highlights the benefits and drawbacks of automated balance assessment testing with mobile device sensors, highlighting the potential of technology to enhance conventional health evaluations.
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Affiliation(s)
- Luís Francisco
- Electrotechnical Department, Polytechnic University of Leiria, 2411-901 Leiria, Portugal
| | - João Duarte
- Electrotechnical Department, Polytechnic University of Leiria, 2411-901 Leiria, Portugal
| | - Carlos Albuquerque
- Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), 3004-011 Coimbra, Portugal;
- Higher School of Health, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal
- Child Studies Research Center (CIEC), University of Minho, 4710-057 Braga, Portugal
| | - Daniel Albuquerque
- Instituto de Telecomunicações, Escola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveiro, 3750-127 Águeda, Portugal; (D.A.); (I.M.P.)
| | - Ivan Miguel Pires
- Instituto de Telecomunicações, Escola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveiro, 3750-127 Águeda, Portugal; (D.A.); (I.M.P.)
| | - Paulo Jorge Coelho
- Electrotechnical Department, Polytechnic University of Leiria, 2411-901 Leiria, Portugal
- Institute for Systems Engineering and Computers at Coimbra (INESC Coimbra), 3030-290 Coimbra, Portugal
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Carmona C, Sullivan JE, Arceo R, Drogos J, Besser S, Gutierrez S, Jeteric Z, Wyman J, Yao J. Development and Preliminary Validity Study of a Modified Version of the Upper Extremity Fugl-Meyer Assessment for Use in Telerehabilitation. J Neurol Phys Ther 2023; 47:208-216. [PMID: 37314323 PMCID: PMC10487354 DOI: 10.1097/npt.0000000000000447] [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] [Indexed: 06/15/2023]
Abstract
BACKGROUND/PURPOSE The Upper Extremity Fugl-Meyer Assessment (UEFMA, maximum 66) is widely used in clinics and research studies to examine poststroke upper extremity (UE) impairment. This study aimed to develop and provide pilot data to support the validity of a remote version of the UEFMA to examine UE impairment after stroke through telerehabilitation. METHODS Team members developed a remote version of the UEFMA for telerehabilitation (tUEFMA, maximum 44) using subscales II to IV and VII of the UEFMA. Twenty-two participants with moderate to severe arm impairment (UEFMA, median = 19) and chronic stroke (>1 year post) were evaluated using the UEFMA (face-to-face) and the tUEFMA (remotely). A prediction equation was used to identify the function to predict the UEFMA based on the tUEFMA. Intraclass correlation (ICC) was used to test the absolute agreement between the subscales included in the UEFMA and the tUEFMA, and between their 2 normalized total scores. RESULTS A strong and significant agreement was found between the total scores of the UEFMA and the projected value based on the tUEFMA (ICC = 0.79, P < 0.05). The ICC test also reported a good agreement in subscales II to IV and a poor agreement in subscale VII between the UEFMA and the tUEFMA using a real-time video link. DISCUSSION AND CONCLUSIONS The study findings suggest that the tUEFMA is a promising tool to remotely examine UE impairment in individuals with chronic stroke and moderate to severe arm impairment. Future research should evaluate additional psychometric properties and clinical utility of the tUEFMA across stroke participants with a broad range of arm impairments.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A441 ).
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Affiliation(s)
- Carolina Carmona
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, Illinois (C.C,. J.E.S., R.A., J.D., S.B., S.G., Z.J., J.W., J.Y.); and Northwestern University Interdepartmental Neuroscience, Northwestern University, and Department of Biomedical Engineering, Northwestern University, Chicago, Illinois (J.Y.)
| | - Jane E. Sullivan
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, Illinois (C.C,. J.E.S., R.A., J.D., S.B., S.G., Z.J., J.W., J.Y.); and Northwestern University Interdepartmental Neuroscience, Northwestern University, and Department of Biomedical Engineering, Northwestern University, Chicago, Illinois (J.Y.)
| | - Riegele Arceo
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, Illinois (C.C,. J.E.S., R.A., J.D., S.B., S.G., Z.J., J.W., J.Y.); and Northwestern University Interdepartmental Neuroscience, Northwestern University, and Department of Biomedical Engineering, Northwestern University, Chicago, Illinois (J.Y.)
| | - Justin Drogos
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, Illinois (C.C,. J.E.S., R.A., J.D., S.B., S.G., Z.J., J.W., J.Y.); and Northwestern University Interdepartmental Neuroscience, Northwestern University, and Department of Biomedical Engineering, Northwestern University, Chicago, Illinois (J.Y.)
| | - Sofie Besser
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, Illinois (C.C,. J.E.S., R.A., J.D., S.B., S.G., Z.J., J.W., J.Y.); and Northwestern University Interdepartmental Neuroscience, Northwestern University, and Department of Biomedical Engineering, Northwestern University, Chicago, Illinois (J.Y.)
| | - Susana Gutierrez
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, Illinois (C.C,. J.E.S., R.A., J.D., S.B., S.G., Z.J., J.W., J.Y.); and Northwestern University Interdepartmental Neuroscience, Northwestern University, and Department of Biomedical Engineering, Northwestern University, Chicago, Illinois (J.Y.)
| | - Zineyra Jeteric
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, Illinois (C.C,. J.E.S., R.A., J.D., S.B., S.G., Z.J., J.W., J.Y.); and Northwestern University Interdepartmental Neuroscience, Northwestern University, and Department of Biomedical Engineering, Northwestern University, Chicago, Illinois (J.Y.)
| | - James Wyman
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, Illinois (C.C,. J.E.S., R.A., J.D., S.B., S.G., Z.J., J.W., J.Y.); and Northwestern University Interdepartmental Neuroscience, Northwestern University, and Department of Biomedical Engineering, Northwestern University, Chicago, Illinois (J.Y.)
| | - Jun Yao
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, Illinois (C.C,. J.E.S., R.A., J.D., S.B., S.G., Z.J., J.W., J.Y.); and Northwestern University Interdepartmental Neuroscience, Northwestern University, and Department of Biomedical Engineering, Northwestern University, Chicago, Illinois (J.Y.)
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Marwaa MN, Guidetti S, Ytterberg C, Kristensen HK. Using experience-based co-design to develop mobile/tablet applications to support a person-centred and empowering stroke rehabilitation. RESEARCH INVOLVEMENT AND ENGAGEMENT 2023; 9:69. [PMID: 37620982 PMCID: PMC10463694 DOI: 10.1186/s40900-023-00472-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 07/18/2023] [Indexed: 08/26/2023]
Abstract
AIM To investigate and describe the process of using experience-based co-design (EBCD) to develop mobile/tablet applications to support a person-centred and empowering stroke rehabilitation. SETTING Two cross-sectoral stroke rehabilitation settings in Denmark comprising six rehabilitation units. PARTICIPANTS Stroke survivors (n = 23), significant others (n = 18), occupational therapists (n = 12), physiotherapists (n = 9), representative of a patient organization (n = 1), application developers (n = 3) and researchers (n = 2). METHOD A structured, facilitated EBCD approach comprising six stages was used to co-design a service that aimed to address the priorities and needs of all relevant end-users. Data were collected by interviews, participant observations, notes on "flip sheets" and written feedback on the content in the apps and on the instruction pages. Data were analyzed descriptively and with a constructivist grounded theory analysis. RESULTS The content in the application solutions "Mit Sygehus" and "Genoptræn.dk" were co-designed to support the needs identified by all end-users. Relevant evidence-based knowledge, person-centred exercises and guidelines using video recordings were the most important among the developed content in the applications to support person-centred and empowering stroke rehabilitation. Furthermore, easy, and seamless communication were considered important. CONCLUSIONS EBCD facilitated the development of content in the applications to support a person-centred and empowering stroke rehabilitation. Participants experienced that their contribution was considered important and valued.
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Affiliation(s)
- Mille Nabsen Marwaa
- Department of Physiotherapy Education, University College Southern Denmark, Esbjerg, Denmark.
- Department of Neurobiology Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.
- Center for Innovative Medical Technology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
| | - Susanne Guidetti
- Department of Neurobiology Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
- Women's Health and Allied Health Professionals Theme, Karolinska University Hospital, Stockholm, Sweden
| | - Charlotte Ytterberg
- Department of Neurobiology Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.
- Women's Health and Allied Health Professionals Theme, Karolinska University Hospital, Stockholm, Sweden.
- Geriatric Research Unit, Department of Clinical Research University Hospital Odense, University of Southern Denmark, Odense, Denmark.
| | - Hanne Kaae Kristensen
- Center for Innovative Medical Technology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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Ruyobeza B, Grobbelaar SS, Botha A. Hurdles to developing and scaling remote patients' health management tools and systems: a scoping review. Syst Rev 2022; 11:179. [PMID: 36042505 PMCID: PMC9427160 DOI: 10.1186/s13643-022-02033-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 07/26/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Despite all the excitement and hype generated regarding the expected transformative impact of digital technology on the healthcare industry, traditional healthcare systems around the world have largely remained unchanged and resultant improvements in developed countries are slower than anticipated. One area which was expected to significantly improve the quality of and access to primary healthcare services in particular is remote patient monitoring and management. Based on a combination of rapid advances in body sensors and information and communication technologies (ICT), it was hoped that remote patient management tools and systems (RPMTSs) would significantly reduce the care burden on traditional healthcare systems as well as health-related costs. However, the uptake or adoption of above systems has been extremely slow and their roll out has not yet properly taken off especially in developing countries where they ought to have made the greatest positive impact. AIM The aim of the study was to assess whether or not recent, relevant literature would support the development of in-community, design, deployment and implementation framework based on three factors thought to be important drivers and levers of RPMTS's adoption and scalability. METHODS A rapid, scoping review conducted on relevant articles obtained from PubMed, MEDLINE, PMC and Cochrane databases and grey literature on Google and published between 2012 and May 2020, by combining a number of relevant search terms and phrases. RESULTS Most RPMTSs are targeted at and focused on a single disease, do not extensively involve patients and clinicians in their early planning and design phases, are not designed to best serve a specific catchment area and are mainly directed at post-hospital, disease management settings. This may be leading to a situation where patients, potential patients and clinicians simply do not make use of these tools, leading to low adoption and scalability thereof. CONCLUSION The development of a user-centred, context-dependent, customizable design and deployment framework could potentially increase the adoption and scalability of RPMTSs, if such framework addressed a combination of diseases, prevalent in a given specific catchment area, especially in developing countries with limited financial resources.
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Affiliation(s)
- Barimwotubiri Ruyobeza
- Department of Industrial Engineering, Stellenbosch University, Stellenbosch, South Africa
| | - Sara S Grobbelaar
- Department of Industrial Engineering, Stellenbosch University, South Africa AND DSI-NRF Centre of Excellence in Scientometrics and Science, Technology and Innovation Policy (SciSTIP), Stellenbosch University, Stellenbosch, South Africa.
| | - Adele Botha
- Department of Industrial Engineering, Stellenbosch University and CSIR Next Generation Enterprises and Institutions, Stellenbosch, South Africa
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Bird ML, Peel F, Schmidt M, Fini NA, Ramage E, Sakakibara BM, Simpson DB, Mather C, Cadilhac DA, Ahuja KDK, Bridgman H, English C. Mobility focussed physical outcome measures over telecommunication technology (Zoom): intra and inter-rater reliability trial (Preprint). JMIR Rehabil Assist Technol 2022; 9:e38101. [PMID: 35994327 PMCID: PMC9446136 DOI: 10.2196/38101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 05/30/2022] [Accepted: 06/23/2022] [Indexed: 11/13/2022] Open
Abstract
Background Rehabilitation provided via telehealth offers an alternative to currently limited in-person health care. Effective rehabilitation depends on accurate and relevant assessments that reliably measure changes in function over time. The reliability of a suite of relevant assessments to measure the impact of rehabilitation on physical function is unknown. Objective We aimed to measure the intrarater reliability of mobility-focused physical outcome measures delivered via Zoom (a commonly used telecommunication platform) and interrater reliability, comparing Zoom with in-person measures. Methods In this reliability trial, healthy volunteers were recruited to complete 7 mobility-focused outcome measures in view of a laptop, under instructions from a remotely based researcher who undertook the remote evaluations. An in-person researcher (providing the benchmark scores) concurrently recorded their scores. Interrater and intrarater reliability were assessed for Grip Strength, Functional Reach Test, 5-Time Sit to Stand, 3- and 4-Meter Walks and Timed Up and Go, using intraclass correlation coefficients (ICC) and Bland-Altman plots. These tests were chosen because they cover a wide array of physical mobility, strength, and balance constructs; require little to no assistance from a clinician; can be performed in the limits of a home environment; and are likely to be feasible over a telehealth delivery mode. Results A total of 30 participants (mean age 36.2, SD 12.5 years; n=19, 63% male) completed all assessments. Interrater reliability was excellent for Grip Strength (ICC=0.99) and Functional Reach Test (ICC=0.99), good for 5-Time Sit to Stand (ICC=0.842) and 4-Meter Walk (ICC=0.76), moderate for Timed Up and Go (ICC=0.64), and poor for 3-Meter Walk (ICC=–0.46). Intrarater reliability, accessed by the remote researcher, was excellent for Grip Strength (ICC=0.91); good for Timed Up and Go, 3-Meter Walk, 4-Meter Walk, and Functional Reach (ICC=0.84-0.89); and moderate for 5-Time Sit to Stand (ICC=0.67). Although recorded simultaneously, the following time-based assessments were recorded as significantly longer via Zoom: 5-Time Sit to Stand (1.2 seconds), Timed Up and Go (1.0 seconds), and 3-Meter Walk (1.3 seconds). Conclusions Untimed mobility-focused physical outcome measures have excellent interrater reliability between in-person and telehealth measurements. Timed outcome measures took approximately 1 second longer via Zoom, reducing the reliability of tests with a shorter duration. Small time differences favoring in-person attendance are of a similar magnitude to clinically important differences, indicating assessments undertaken using telecommunications technology (Zoom) cannot be compared directly with face-to-face delivery. This has implications for clinicians using blended (ie, some face-to-face and some via the internet) assessments. High intrarater reliability of mobility-focused physical outcome measures has been demonstrated in this study.
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Affiliation(s)
- Marie-Louise Bird
- Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, Australia
| | - Felix Peel
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, Australia
| | - Matt Schmidt
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Hobart, Australia
| | - Natalie A Fini
- Physiotherapy Department, University of Melbourne, Melbourne, Australia
| | - Emily Ramage
- School of Health Sciences, University of Newcastle, Callaghan, Australia
| | - Brodie M Sakakibara
- Occupational Science and Occupational Therapy, University of British Columbia, Kelowna, BC, Canada
| | - Dawn B Simpson
- School of Health Sciences and Priority Research Centre for Stroke and Brain Injury, University of Newcastle, Callaghan, Australia
| | - Carey Mather
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, Australia
| | - Dominique A Cadilhac
- Translational Public Health and Evaluation Division, Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Heidelberg, Australia
- Public Health, Stroke Division, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, Australia
| | - Kiran D K Ahuja
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, Australia
| | - Heather Bridgman
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, Australia
| | - Coralie English
- School of Health Sciences and Priority Research Centre for Stroke and Brain Injury, University of Newcastle, Callaghan, Australia
- Heart and Stroke Research Program, Hunter Medical Research Institute, Newcastle, Australia
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English C, Ceravolo MG, Dorsch S, Drummond A, Gandhi DB, Halliday Green J, Schelfaut B, Verschure P, Urimubenshi G, Savitz S. Telehealth for rehabilitation and recovery after stroke: State of the evidence and future directions. Int J Stroke 2022; 17:487-493. [PMID: 34983266 DOI: 10.1177/17474930211062480] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
AIMS The aim of this rapid review and opinion paper is to present the state of the current evidence and present future directions for telehealth research and clinical service delivery for stroke rehabilitation. METHODS We conducted a rapid review of published trials in the field. We searched Medline using key terms related to stroke rehabilitation and telehealth or virtual care. We also searched clinical trial registers to identify key ongoing trials. RESULTS The evidence for telehealth to deliver stroke rehabilitation interventions is not strong and is predominantly based on small trials prone to Type 2 error. To move the field forward, we need to progress to trials of implementation that include measures of adoption and reach, as well as effectiveness. We also need to understand which outcome measures can be reliably measured remotely, and/or develop new ones. We present tools to assist with the deployment of telehealth for rehabilitation after stroke. CONCLUSION The current, and likely long-term, pandemic means that we cannot wait for stronger evidence before implementing telehealth. As a research and clinical community, we owe it to people living with stroke internationally to investigate the best possible telehealth solutions for providing the highest quality rehabilitation.
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Affiliation(s)
- Coralie English
- School of Health Sciences and Priority Research Centre for Stroke and Brain Injury, The University of Newcastle, Callaghan, NSW, Australia.,Centre for Research Excellence in Stroke Rehabilitation and Brain Recovery, Florey Institute of Neuroscience and Hunter Medical Research Institute, Heidelberg, VIC, Australia
| | - Maria Gabriella Ceravolo
- Department of Experimental and Clinical Medicine, Università Politecnica delle March, Ancona, Italy
| | - Simone Dorsch
- Faculty of Health Sciences, Australian Catholic University, North Sydney, NSW, Australia.,The StrokeEd Collaboration, Ashfield, NSW, Australia
| | - Avril Drummond
- Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK
| | - Dorcas Bc Gandhi
- College of Physiotherapy and Department of Neurology, Christian Medical College & Hospital, Ludhiana, India
| | | | | | - Paul Verschure
- SPECS-lab, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Barcelona, Spain.,Institució Catalana de la Recerca i Estudis Avançats, Barcelona, Spain
| | - Gerard Urimubenshi
- Department of Physiotherapy, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
| | - Sean Savitz
- Institute for Stroke and Cerebrovascular Disease, The University of Texas Health Science Center, Houston, TX, USA
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10
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Merolli M, Francis JJ, Vallance P, Bennell KL, Malliaras P, Hinman RS. Patient-Facing Mobile Apps to Support Physiotherapy Care: Protocol for a Systematic Review of Apps Within App Stores. JMIR Res Protoc 2021; 10:e29047. [PMID: 34889767 PMCID: PMC8704116 DOI: 10.2196/29047] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 09/29/2021] [Accepted: 10/12/2021] [Indexed: 12/19/2022] Open
Abstract
Background Care delivered by physiotherapists aims to facilitate engagement in positive health behaviors by patients (eg, adherence to exercise). However, research suggests that behavioral interventions are frequently omitted from care. Hence, better understanding of strategies that can be used by physiotherapists to support patients to engage in positive behaviors is important and likely to optimize outcomes. Digital health interventions delivered via mobile apps are garnering attention for their ability to support behavior change. They have potential to incorporate numerous behavior change techniques (BCTs) to support goals of physiotherapy care, including but not limited to self-monitoring, goal setting, and prompts/alerts. Despite their potential to support physiotherapy care, much is still unknown about what apps are available to consumers, the BCTs they use, their quality, and their potential to change behaviors. Objective The primary aim of this study is to systematically review the mobile apps available in app stores that are intended for use by patients to support physiotherapy care, including the BCTs within these apps. The secondary aims are to evaluate the quality and behavior change potential of these apps. Methods A systematic review of mobile apps in app stores will be undertaken. This will be guided by recommendations for systematic reviews in line with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement but adapted to suit our app store search, consistent with similar systematic reviews of apps published in the Journal of Medical Internet Research. Apple Store and Google Play will be searched with a two-step search strategy, using terms relevant to physiotherapy, physiotherapists, and common physiotherapy care. Key eligibility criteria will include apps that are intended for use by patients and are self-contained or stand-alone without the need of additional wearable devices or other add-ons. Included apps will be coded for BCTs and rated for quality using the Mobile Application Rating Scale (MARS) and for potential to change behavior using the App Behavior Change Scale (ABACUS). Results App store search and screening are expected to be completed in 2021. Data extraction and quality appraisal are expected to commence by November 2021. The study results are expected to be published in a subsequent paper in 2022. Conclusions Knowledge gained from this review will support clinical practice and inform research by providing a greater understanding of the quality of currently available mobile apps and their potential to support patient behavior change goals of physiotherapy care. International Registered Report Identifier (IRRID) PRR1-10.2196/29047
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Affiliation(s)
- Mark Merolli
- Centre for Health Exercise and Sports Medicine, Department of Physiotherapy, School of Health Sciences, The University of Melbourne, Melbourne, Australia.,Centre for Digital Transformation of Health, The University of Melbourne, Melbourne, Australia
| | - Jill J Francis
- School of Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Patrick Vallance
- School of Health Sciences, The University of Melbourne, Melbourne, Australia.,Department of Physiotherapy, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Science, Monash University, Melbourne, Australia
| | - Kim L Bennell
- Centre for Health Exercise and Sports Medicine, Department of Physiotherapy, School of Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Peter Malliaras
- Department of Physiotherapy, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Science, Monash University, Melbourne, Australia
| | - Rana S Hinman
- Centre for Health Exercise and Sports Medicine, Department of Physiotherapy, School of Health Sciences, The University of Melbourne, Melbourne, Australia
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11
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Measurement of Results of Functional Reach Test with Sensors: A Systematic Review. ELECTRONICS 2020. [DOI: 10.3390/electronics9071078] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The test of physical conditions is important to treat and presents several diseases related to the movement. These diseases are mainly related to the physiotherapy and orthopedy, but it can be applied in a wide range of medical specialties. The Functional Reach Test is one of the most common physical tests used to measure the limit of stability that is highly important for older adults because their stability is reduced with aging. Thus, older adults are part of the population more exposed to stroke. This test may help in the measurement of the conditions related to post-stroke and stroke treatment. The movements related to this test may be recorded and recognized with the inertial sensors available in off-the-shelf mobile devices. This systematic review aims to determine how to determine the conditions related to this test, which can be detected, and which of the sensors are used for this purpose. The main contribution of this paper is to present the research on the state-of-the-art use of sensors available on off-the-shelf mobile devices to measure Functional Reach Test results. This research shows that the sensors that are used in the literature studies are inertial sensors and force sensors. The features extracted from the different studies are categorized as dynamic balance, quantitative, and raw statistics. These features are mainly used to recognize the different parameters of the test, and several accidents, including falling. The execution of this test may allow the early detection of different diseases.
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