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Home-based telerehabilitation software systems for remote supervising: a systematic review

Published online by Cambridge University Press:  10 March 2020

Mohammad Hosseiniravandi Open the ORCID record for Mohammad Hosseiniravandi [Opens in a new window] ,
Amir H Kahlaee ,
Hesam Karim ,
Leila Ghamkhar  and
Reza Safdari
Mohammad Hosseiniravandi
Affiliation:
Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences (TUMS), Tehran, Iran
Amir H Kahlaee
Affiliation:
Department of Physical Therapy, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
Hesam Karim
Affiliation:
Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences (TUMS), Tehran, Iran
Leila Ghamkhar
Affiliation:
University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
Reza Safdari*
Affiliation:
Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences (TUMS), Tehran, Iran
*
Author for correspondence: Reza Safdari, E-mail: rsafdari@tums.ac.ir
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Abstract

Objectives

In the past decade, with the ever-increasing growth of information and communication technologies, telerehabilitation, especially home-based rehabilitation (HBR), has been widely considered by researchers. Many software systems are developed to address HBR programs, which includes various functionalities. The aim of this study is to review the functional features of these systems designed for remote supervising of HBR programs.

Methods

Scopus, PubMed, EMBASE, ISI Web of Science, Cochrane Library, IEEE Xplore Digital Library, and ProQuest databases were searched for English-language articles published between January 2008 and February 2018 to retrieve studies reported an home-based telerehabilitation software system aiming to remotely supervise HBR program.

Results

A total of fifty studies that reported twenty-two unique systems met the inclusion criteria. Various functional features were identified including but not limited to exercise plan management, report/statistics generating, patient education, and task scheduling. Disorders or diseases addressed by these systems could mainly be grouped into five categories: musculoskeletal, neurological, respiratory, cardiovascular, and other health-related problems. Usability and acceptability, and clinical/patient outcomes were the most reported outcomes and data analysis was used by the majority of included studies to measure the outcomes.

Conclusions

Systems developed for supervising of HBR program are diverse. However, preliminary results of this review revealed that these systems share more or less common functionalities. However, further research is needed to determine the requirements, structure, and effectiveness of these systems in real-life settings.

Keywords

TelerehabilitationTelemedicinePatient MonitoringHome Care ServicesmHealth
Type
Assessment
Information
International Journal of Technology Assessment in Health Care , Volume 36 , Issue 2 , April 2020 , pp. 113 - 125
Copyright
Copyright © Cambridge University Press 2020

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References

Jurkiewicz, MT, Marzolini, S, Oh, P (2011) Adherence to a home-based exercise program for individuals after stroke. Top Stroke Rehabil. 18, 277–284.CrossRefGoogle ScholarPubMed
Nelson, ME, Layne, JE, Bernstein, MJ, et al. (2004) The effects of multidimensional home-based exercise on functional performance in elderly people. J Gerontol A: Biol Sci Med Sci. 59, M154–M60.CrossRefGoogle ScholarPubMed
Lewis, A, Morris, ME, Walsh, C (2008) Are physiotherapy exercises effective in reducing chronic low back pain? Phys Ther Rev. 13, 37–44.CrossRefGoogle Scholar
Jakobsen, MD, Sundstrup, E, Brandt, M, et al. (2014) Effect of workplace-versus home-based physical exercise on pain in healthcare workers: Study protocol for a single blinded cluster randomized controlled trial. BMC Musculoskeletal Disord. 15, 119.CrossRefGoogle ScholarPubMed
Ferraris, C, Nerino, R, Chimienti, A, et al. (2014) Remote monitoring and rehabilitation for patients with neurological diseases. In: Fortino, G, Suzuki, J, Andreopoulos, Y, Yuce, M, Hao, Y, Gravina, R, eds. Proceedings of the 9th international conference on body area networks. London: Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, 76–82.Google Scholar
Miller, J, Stanley, I, Moore, K (2004) Videotaped exercise instruction: A randomised controlled trial in musculoskeletal physiotherapy. Physiother Theory Pract. 20, 145–154.CrossRefGoogle Scholar
Saraee, E, Singh, S, Hendron, K, et al. (2017) Exercisecheck: Remote monitoring and evaluation platform for home based physical therapy. In: Proceedings of the 10th international conference on PErvasive technologies related to assistive environments. Island of Rhodes: ACM, 87–90.Google Scholar
Courneya, KS, Friedenreich, CM, Sela, RA, et al. (2003) The group psychotherapy and home-based physical exercise (group-hope) trial in cancer survivors: Physical fitness and quality of life outcomes. Psycho-Oncology: Journal of the Psychological, Social and Behavioral Dimensions of Cancer. 12, 357–374.CrossRefGoogle Scholar
Staszuk, A, Wiatrak, B, Tadeusiewicz, R, Karuga-Kuźniewska, E, Rybak, Z (2016) Telerehabilitation approach for patients with hand impairment. Acta Bioeng Biomech. 18, 55–62.Google ScholarPubMed
Dodakian, L, McKenzie, AL, Le, V, et al. (2017) A home-based telerehabilitation program for patients with stroke. Neurorehabil Neural Repair. 31, 923–933.CrossRefGoogle ScholarPubMed
Cotelli, M, Manenti, R, Brambilla, M, et al. (2017) Cognitive telerehabilitation in mild cognitive impairment, Alzheimer's disease and frontotemporal dementia: A systematic review. J Telemed Telecare. 25, 67–79. 1357633X17740390.CrossRefGoogle ScholarPubMed
Reeder, B, Chung, J, Stevens-Lapsley, J (2016) Current telerehabilitation research with older adults at home: An integrative review. J Gerontol Nurs. 42, 15–20.CrossRefGoogle Scholar
Peetoom, KK, Lexis, MA, Joore, M, Dirksen, CD, De Witte, LP (2015) Literature review on monitoring technologies and their outcomes in independently living elderly people. DisabilRehabil: Assist Technol. 10, 271–294.Google ScholarPubMed
Miller, KJ, Adair, BS, Pearce, AJ, et al. (2013) Effectiveness and feasibility of virtual reality and gaming system use at home by older adults for enabling physical activity to improve health-related domains: A systematic review. Age Ageing. 43, 188–195.CrossRefGoogle ScholarPubMed
Moher, D, Liberati, A, Tetzlaff, J, Altman, DG (2009) Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Ann Intern Med. 151, 264–269.CrossRefGoogle ScholarPubMed
Bedra, M, Finkelstein, J (2015) Feasibility of post-acute hip fracture telerehabilitation in older adults. Stud Health Technol Inf. 210, 469–473.Google ScholarPubMed
Finkelstein, J, Jeong, I (2013) Remotely controlled cycling exercise system for home-based telerehabilitation. Conference proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual Conference 2013, 7310–3.CrossRefGoogle Scholar
Wood, J, Finkelstein, M, Cha, E, Finkelstein, J (2012) Introducing physical telerehabilitation in seniors with mobility limitation: System feasibility and acceptance. 2.CrossRefGoogle Scholar
Jeong, IC, Finkelstein, J (2012) Computer-assisted upper extremity training using interactive biking exercise (iBikE) platform. 4.Google Scholar
Jeong, I, Finkelstein, J (2012) Interactive biking exercise (iBikE) platform to facilitate lower extremity cycling exercise: System design and feasibility. 4.CrossRefGoogle Scholar
Finkelstein, J, Wood, J, Cha, E (2012) Impact of physical telerehabilitation on functional outcomes in seniors with mobility limitations. 5.CrossRefGoogle Scholar
Ongvisatepaiboon, K, Chan, JH, Vanijja, V (2015) Smartphone-Based Tele-Rehabilitation System for Frozen Shoulder Using a Machine Learning Approach. 4.CrossRefGoogle Scholar
Chiensriwimol, N, Chan, JH, Mongkolnam, P, Mekhora, K (2017) The 8th International Conference on Advances in Information Technology In Monitoring frozen shoulder exercises to support clinical decision on treatment process using smartphone. Fong, S, Fiaidhi, J, eds. Elsevier B.V., 129–136.Google Scholar
Yeh, SC, Lee, SH, Fank, YJ, et al. (2013) A cloud-based tele-rehabilitation system for frozen shoulder. In: Luo, Q, eds. Advanced Materials Research. AMR, 766–771.Google Scholar
Halic, T, Kockara, S, Demirel, D, Willey, M, Eichelberger, K (2014) MoMiReS: Mobile mixed reality system for physical & occupational therapies for hand and wrist ailments. 5.CrossRefGoogle Scholar
Karime, A, Eid, M, Alja'am, JM, El Saddik, A, Gueaieb, W (2014) A fuzzy-based adaptive rehabilitation framework for home-based wrist training. IEEE Trans Instrum Meas. 63, 135–144.CrossRefGoogle Scholar
Karime, A, Al-Osman, H, Alja'am, JM, Gueaieb, W, El Saddik, A (2012) Tele-Wobble: A telerehabilitation wobble board for lower extremity therapy. IEEE Trans Instrum Meas. 61, 1816–1824.CrossRefGoogle Scholar
Rybarczyk, Y, Deters, JK, Gonzalvo, AA, et al. (2017) ePHoRt project: A web-based platform for home motor rehabilitation. In: Rocha, Á, Correia, AM, Adeli, H, Reis, LP, Costanzo, S, eds. Recent advances in information systems and technologies. Cham: Springer International Publishing, 609–618.CrossRefGoogle Scholar
Koh, GC, Yen, SC, Tay, A, et al. (2015) Singapore tele-technology aided rehabilitation in stroke (STARS) trial: Protocol of a randomized clinical trial on tele-rehabilitation for stroke patients. BMC Neurol. 15, 161.CrossRefGoogle ScholarPubMed
Eguiluz-Perez, G, Garcia-Zapirain, B (2014) Comprehensive verticality analysis and web-based rehabilitation system for people with multiple sclerosis with supervised medical monitoring. Biomed Mater Eng. 24, 3493–3502.Google ScholarPubMed
Eguiluz-Perez, G, Garcia-Zapirain, B (2014) Telerehabilitation web application for health care professionals and adults with multiple sclerosis. In: Penichet, VR, Fardoun, HHM, eds. The 8th international conference on pervasive computing technologies for healthcare. Brussels, Belgium, Oldenburg: ICST, 286–289.Google Scholar
Finkelstein, J, Lapshin, O, Castro, H, Cha, E, Provance, PG (2008) Home-based physical telerehabilitation in patients with multiple sclerosis: A pilot study. J Rehabil Res Dev. 45, 1361–1374.CrossRefGoogle ScholarPubMed
Finkelstein, J, Wood, J, Shan, Y (2011) Implementing physical telerehabilitation system for patients with multiple sclerosis. In: Ding, Y, Peng, Y, Shi, R, Hao, K, Wang, L, eds. 4th International conference on biomedical engineering and informatics. Shanghai: IEEE, 3.Google Scholar
Urbano, GC, Ruiz-Zafra, A, Noguera, M, Benghazi, K, Caracuel, A (2014) Self-monitoring and professional feedback through cloudrehab, a mobile cloud platform for neuro-rehabiliation. In: Penichet, VR, Fardoun, HHM, eds. The 8th international conference on pervasive computing technologies for healthcare. Oldenburg: ICST, 266–269.Google Scholar
Ruiz-Zafra, A, Noguera, M, Benghazi, K, et al. (2013) A mobile cloud-supported e-rehabilitation platform for brain-injured patients. In: Czerwinski, M, Mayora, O, Lukowicz, P, Campbell, A, Osmani, V, eds. 2013 7th international conference on pervasive computing technologies for healthcare and workshops. Venice: IEEE, 3.Google Scholar
Paul, L, Coulter, EH, Miller, L, et al. (2014) Web-based physiotherapy for people moderately affected with multiple sclerosis; quantitative and qualitative data from a randomized, controlled pilot study. Clin Rehabil. 28, 924–935.CrossRefGoogle ScholarPubMed
Coulter, EH, McLean, AN, Hasler, JP, et al. (2017) The effectiveness and satisfaction of web-based physiotherapy in people with spinal cord injury: A pilot randomised controlled trial. Spinal Cord. 55, 383–389.CrossRefGoogle ScholarPubMed
Cruz, VT, Pais, J, Bento, V, et al. (2013) A rehabilitation tool designed for intensive web-based cognitive training: Description and usability study. JMIR Res Protoc. 2, e59.CrossRefGoogle ScholarPubMed
Cruz, VT, Pais, J, Alves, I, et al. (2014) Web-based cognitive training: Patient adherence and intensity of treatment in an outpatient memory clinic. J Med Internet Res. 16, 130–140.Google Scholar
Bargagna, S, Bozza, M, Buzzi, MC, et al. (2014) Computer-based cognitive training in adults with Down's syndrome. Switzerland: Springer Verlag, 8514 LNCS 197–208.Google Scholar
Prange, GB, Nijenhuis, SM, Sale, P, et al. (2014) Preliminary findings of feasibility and compliance of technology-supported distal arm training at home after stroke. Switzerland: Springer International Publishing, 7 665–73.CrossRefGoogle Scholar
Amirabdollahian, F, Ates, S, Basteris, A, et al. (2014) Design, development and deployment of a hand/wrist exoskeleton for home-based rehabilitation after stroke – SCRIPT project. Robotica. 32, 1331–1346.CrossRefGoogle Scholar
Basteris, A, Amirabdollahian, F (2014) Movement recognition and preference in home-based robot-assisted stroke rehabilitation. In: Penichet, VR, Fardoun, HHM, eds. Brussels, Belgium: ICST, 432–435.CrossRefGoogle Scholar
Jeong, IC, Finkelstein, J (2015) Introducing telerehabilitation in patients with multiple sclerosis with significant mobility disability: Pilot feasibility study. In: Meyer, J, Meixner, G, eds. 2015 International conference on healthcare informatics. Dallas: IEEE, 69–75.CrossRefGoogle Scholar
Nijenhuis, SM, Prange, GB, Amirabdollahian, F, et al. (2015) Feasibility study into self-administered training at home using an arm and hand device with motivational gaming environment in chronic stroke. J Neuroeng Rehabil. 12, 89.CrossRefGoogle ScholarPubMed
Tabak, M, Brusse-Keizer, M, Valk, P, Hermens, H, Vollenbroek-Hutten, M (2014) A telehealth program for self-management of COPD exacerbations and promotion of an active lifestyle: A pilot randomized controlled trial. Int J Chronic Obstruct Pulm Dis. 9, 935–944.CrossRefGoogle ScholarPubMed
Zanaboni, P, Dinesen, B, Hjalmarsen, A, et al. (2016) Long-term integrated telerehabilitation of COPD patients: A multicentre randomised controlled trial (iTrain). BMC Pulm Med. 16, 126.CrossRefGoogle Scholar
Zanaboni, P, Hoaas, H, Aarøen Lien, L, Hjalmarsen, A, Wootton, R (2017) Long-term exercise maintenance in COPD via telerehabilitation: A two-year pilot study. J Telemed Telecare. 23, 74–82.CrossRefGoogle ScholarPubMed
Hoaas, H, Andreassen, HK, Lien, LA, Hjalmarsen, A, Zanaboni, P (2016) Adherence and factors affecting satisfaction in long-term telerehabilitation for patients with chronic obstructive pulmonary disease: A mixed methods study. BMC Med Inf Decis Making. 16, 26.CrossRefGoogle ScholarPubMed
Zanaboni, P, Lien, LA, Hjalmarsen, A, Wootton, R (2013) Long-term telerehabilitation of COPD patients in their homes: Interim results from a pilot study in Northern Norway. J Telemed Telecare. 19, 425–429.CrossRefGoogle ScholarPubMed
Kocsis, O, Vasilopoulou, M, Tsopanoglou, A, Papaioannou, A, Vogiatzis, I (2015) Telemonitoring system for home rehabilitation of patients with COPD. 3.CrossRefGoogle Scholar
Skobel, E, Martinez-Romero, A, Scheibe, B, et al. (2014) Evaluation of a newly designed shirt-based ECG and breathing sensor for home-based training as part of cardiac rehabilitation for coronary artery disease. Eur J Prev Cardiol. 21, 1332–1340.CrossRefGoogle ScholarPubMed
Skobel, E, Knackstedt, C, Martinez-Romero, A, et al. (2017) Internet-based training of coronary artery patients: The heart cycle trial. Heart Vessels. 32, 408–418.CrossRefGoogle ScholarPubMed
Salvi, D, Ottaviano, M, Muuraiskangas, S, et al. (2017) An m-health system for education and motivation in cardiac rehabilitation: The experience of HeartCycle guided exercise. J Telemed Telecare. 24, 303–316. 1357633 × 17697501.CrossRefGoogle ScholarPubMed
Lázaro, JP, Guillén, S, Meneu, T, Martínez, A (2014) Heartways solution for exercise based cardiac rehabilitation. In: Lackovic, I, de Carvalho, P, Zhang, YT, Magjarevic, R, eds. The international conference on health informatics. Vilamoura: Springer Verlag, 343–346.CrossRefGoogle Scholar
Martinez-Romero, A, Drobnjak, S, Serafin, R, Meneu, T (2014) Management Tools for Medical Professionals for Prescription and Follow-Up of Cardiac Rehabilitation Based on Physical Exercise Therapies. In: eds. The International Conference on Health Informatics. Springer, 347–350.CrossRefGoogle Scholar
Jeong, IC, Finkelstein, J (2015) Interactive resistance chair to promote strengthening exercise in older adults. Stud Health Technol Inf. 210, 205–209.Google ScholarPubMed
Báez, M, Ibarra, F, Far, IK, Ferron, M, Casati, F (2016) Online Group-Exercises for Older Adults of Different Physical Abilities. In: eds. 2016 International Conference on Collaboration Technologies and Systems. Orlando: IEEE, 9.Google Scholar
Steffen, D, Bleser, G, Weber, M, et al. (2011) A personalized exercise trainer for elderly. In: eds. 2011 5th International Conference on Pervasive Computing Technologies for Healthcare. Dublin: IEEE, 7.Google Scholar
Lamprinos, I, Steffen, D (2012) Physical activity monitoring for the aging population. In: Macedo, M, eds. 2012 IADIS international conference e-health. Portugal, Lisbon: IADIS Press, 247–250.Google Scholar
Bleser, G, Steffen, D, Weber, M, et al. (2013) A personalized exercise trainer for the elderly. J Ambient Intell Smart Environ. 5, 547–562.CrossRefGoogle Scholar
Horton, EJ, Mitchell, KE, Johnson-Warrington, V, et al. (2018) Comparison of a structured home-based rehabilitation programme with conventional supervised pulmonary rehabilitation: A randomised non-inferiority trial. Thorax. 73, 29–36.CrossRefGoogle ScholarPubMed
Turunen, K, Aaltonen, L, Kumpumäki, J, et al. (2017) A tailored counseling and home-based rehabilitation program to increase physical activity and improve mobility among community-dwelling older people after hospitalization: Protocol of a randomized controlled trial. BMC Musculoskeletal Disord. 18, 477.CrossRefGoogle ScholarPubMed
Turunen, K, Salpakoski, A, Edgren, J, et al. (2017) Physical activity after a hip fracture: Effect of a multicomponent home-based rehabilitation program—a secondary analysis of a randomized controlled trial. Arch Phys Med Rehabil. 98, 981–988.CrossRefGoogle ScholarPubMed
Hageman, D, Fokkenrood, HJ, Gommans, LN, van den Houten, MM, Teijink, JA (2018) Supervised exercise therapy versus home-based exercise therapy versus walking advice for intermittent claudication. Cochrane Database Syst Rev. 1–138. https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD005263.pub4/epdf/fulGoogle ScholarPubMed
Aytekin, E, Caglar, NS, Ozgonenel, L, et al. (2012) Home-based exercise therapy in patients with ankylosing spondylitis: Effects on pain, mobility, disease activity, quality of life, and respiratory functions. Clin Rheumatol. 31, 91–97.CrossRefGoogle ScholarPubMed
Pani, D, Barabino, G, Dessì, A, et al. (2014) A device for local or remote monitoring of hand rehabilitation sessions for rheumatic patients. IEEE J Transl Eng Health Med. 2, 1–11.CrossRefGoogle ScholarPubMed
Kujala, S, Kauppinen, M, Lehtola, L, Kojo, T (2005) The role of user involvement in requirements quality and project success. In: eds. 13th IEEE International Conference on Requirements Engineering (RE'05). IEEE, 75–84.CrossRefGoogle Scholar
Maguire, M, Bevan, N (2002) User requirements analysis. In: IFIP World computer congress, TC 13. Deventer, Netherlands: Springer, 133–148.Google Scholar
Kumar, S, Nilsen, WJ, Abernethy, A, et al. (2013) Mobile health technology evaluation: The mHealth evidence workshop. Am J Prev Med. 45, 228–236.CrossRefGoogle ScholarPubMed
Musiat, P, Goldstone, P, Tarrier, N (2014) Understanding the acceptability of e-mental health-attitudes and expectations towards computerised self-help treatments for mental health problems. BMC Psychiatry. 14, 109.CrossRefGoogle ScholarPubMed
Meurk, C, Leung, J, Hall, W, Head, BW, Whiteford, H (2016) Establishing and governing e-mental health care in Australia: A systematic review of challenges and a call for policy-focussed research. J Med Internet Res. 18, e10.CrossRefGoogle Scholar
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