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End-user adaptable technologies for rehabilitation: a systematic literature review

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Abstract

Studies on end-user adaptable applications for rehabilitation aim to offer exercises to patients based on their therapeutic goals and individual advances. The process of adapting the applications is usually done by therapists, who have the clinical knowledge necessary for the effective design of the exercises; thus, their participation is essential in this process. In this sense, it is crucial that studies on adaptable applications consider their relevance for various users: patients who use an application (potential end users) and therapists who perform the process of adapting the application (end users). This study aims, through a systematic review, to identify how the use of adaptable applications has contributed, in the context of rehabilitation, not only to the treatment of patients but also to therapists in their work, in addition to identifying how they have addressed the process of adaptation and extension of the applications. A total of 28 studies from four electronic databases were considered and analyzed. The results indicate promising benefits for patients and some benefits that support the therapist’s work. However, there are some difficulties faced by therapists in the use and adoption of the applications. Further studies on the impact of adaptable applications in view of the end users (therapists adapting the applications) are needed. A longer-term follow-up is required to evaluate the treatment outcomes in the patients and improve the required aspects according to therapeutic contexts.

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References

  1. World Health Organization (2018) WHO| World report on disability. https://www.who.int/disabilities/world_report/2011/en/. Accessed 07 Oct 2018

  2. Steiner, W.A., Ryser, L., Huber, E., Uebelhart, D., Aeschlimann, A., Stucki, G.: Use of the ICF model as a clinical problem-solving tool in physical therapy and rehabilitation medicine. Phys. Ther. 82(11), 1098–107 (2002)

    Article  Google Scholar 

  3. World Health Organization (2019) WHO | Rehabilitation in health systems. https://www.who.int/disabilities/rehabilitation_health_systems/en/. Accessed 07 Jan 2019

  4. Siegert, R.J., McPherson, K.M., Taylor, W.J.: Toward a cognitive-affective model of goal-setting in rehabilitation: is self-regulation theory a key step? Disabil. Rehabil. 26(20), 1175–1183 (2004). https://doi.org/10.1080/09638280410001724834

    Article  Google Scholar 

  5. Aminov, A., Rogers, J.M., Middleton, S., Caeyenberghs, K., Wilson, P.H.: What do randomized controlled trials say about virtual rehabilitation in stroke? A systematic literature review and meta-analysis of upper-limb and cognitive outcomes. J. NeuroEng. Rehabil. 15(1), 29 (2018). https://doi.org/10.1186/s12984-018-0370-2

    Article  Google Scholar 

  6. Pennisi, P., Tonacci, A., Tartarisco, G., Billeci, L., Ruta, L., Gangemi, S., Pioggia, G.: Autism and social robotics: a systematic review. Autism Res. 9(2), 165–183 (2016). https://doi.org/10.1002/aur.1527

    Article  Google Scholar 

  7. García-Casal, J.A., Loizeau, A., Csipke, E., Franco-Martín, M., Perea-Bartolomé, M.V., Orrell, M.: Computer-based cognitive interventions for people living with dementia: a systematic literature review and meta-analysis. Aging Ment. Health 21(5), 454–467 (2017). https://doi.org/10.1080/13607863.2015.1132677

    Article  Google Scholar 

  8. Donker, T., Petrie, K., Proudfoot, J., Clarke, J., Birch, M.R., Christensen, H.: Smartphones for smarter delivery of mental health programs: a systematic review. J. Med. Internet Res. 15(11), e247 (2013)

    Article  Google Scholar 

  9. Da Gama, A., Fallavollita, P., Teichrieb, V., Navab, N.: Motor rehabilitation using kinect: a systematic review. Games Health J. 4(2), 123–135 (2015)

    Article  Google Scholar 

  10. Joddrell, P., Astell, A.J.: Studies involving people with dementia and touchscreen technology: a literature review. JMIR Rehabil. Assist. Technol. 3(2), e10 (2016)

    Article  Google Scholar 

  11. Harman, M., Jia, Y., Langdon, W.B., Petke, J., Moghadam, I.H., Yoo, S., Wu, F. (2014) Genetic improvement for adaptive software engineering (keynote). In: Proceedings of the 9th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, ACM, pp. 1–4

  12. Fischer, G., Fogli, D., Piccinno, A.: Revisiting and broadening the meta-design framework for end-user development. In: Paterno, F., Wulf, V. (eds.) New Perspectives in End-User Development, pp. 61–97. Springer, Cham (2017)

    Chapter  Google Scholar 

  13. Lieberman, H., Paternò, F., Klann, M., Wulf, V.: End-user development: an emerging paradigm. In: Lieberman, H., Paternò, F., Klann, M., Wulf, V. (eds.) End User Development, pp. 1–8. Springer, Dordrecht (2006). https://doi.org/10.1007/1-4020-5386-X_1

    Chapter  Google Scholar 

  14. Fischer, G.: End-User Development and Meta-design: Foundations for Cultures of Participation, pp. 3–14. Springer, Berlin (2009). https://doi.org/10.1007/978-3-642-00427-8_1

    Book  Google Scholar 

  15. Archana, S., Singh, S., Abbas, S.: Proposed quality paradigm for end user development. Int. J. Comput. Sci. Eng. 4(4), 4 (2016)

    Google Scholar 

  16. Ferreira, A.: Novo dicionário Aurélio da língua portuguesa. Nova Fronteira, Rio de Janeiro (1986)

    Google Scholar 

  17. Karsch, U.M.: Idosos dependentes: famílias e cuidadores. Cadernos de Saúde Pública 19(3), 861–866 (2003). https://doi.org/10.1590/S0102-311X2003000300019

    Article  Google Scholar 

  18. Davis, F.D.: A technology acceptance model for empirically testing new end-user information systems: theory and results. Doctoral Dissertation (1986)

  19. Kitchenham, B.A.: Guidelines for Performing Systematic Literature Reviews in Software Engineering, version 2.3. EBSE Technical Report. Keele University and University of Durham (2007)

  20. Thapar, A., Cooper, M., Rutter, M.: Neurodevelopmental disorders. Lancet Psychiatry 4(4), 339–346 (2017). https://doi.org/10.1016/S2215-0366(16)30376-5

    Article  Google Scholar 

  21. American Psychiatric Association: Diagnostic and Statistical Manual of Mental Disorders. American Psychiatric Association, Philadelphia (2013)

    Book  Google Scholar 

  22. Coyle, D., Doherty, G., Matthews, M., Sharry, J.: Computers in talk-based mental health interventions. Interact. Comput. 19(4), 545–562 (2007). https://doi.org/10.1016/J.INTCOM.2007.02.001

    Article  Google Scholar 

  23. Alzheimer Association: What is Alzheimer’s (2018). https://www.alz.org/alzheimers-dementia/what-is-alzheimers. Accessed 11 Nov 2018

  24. Démonet, J.F., Taylor, M.J., Chaix, Y.: Developmental dyslexia. The Lancet 363(9419), 1451–1460 (2004). https://doi.org/10.1016/S0140-6736(04)16106-0

    Article  Google Scholar 

  25. American Heart Association: What is stroke?—National Stroke Association (2018). https://www.stroke.org/understand-stroke/what-is-stroke/. Accessed 13 Dec 2018

  26. Lingraphica: What is Aphasia?—Learn about the different types of Aphasia (2018). https://www.aphasia.com/what-is-aphasia/. Accessed 12 Nov 2018

  27. American Speech-Language-Hearing Association: Childhood Apraxia of Speech (2018). https://www.asha.org/public/speech/disorders/childhood-apraxia-of-speech/. Accessed 01 Dec 2018

  28. Our World in Data: Mental Health (2018). https://ourworldindata.org/mental-health. Accessed 26 Nov 2019

  29. Dyslexia and Literacy International: Dyslexia International: better training, better teaching (2016). https://www.dyslexia-and-literacy.international/wp-content/uploads/2016/04/DI-Duke-Report-final-4-29-14.pdf. Accessed 26 Nov 2019

  30. World Health Organization: Dementia (2019). https://www.who.int/disabilities/world_report/2011/en/. Accessed 26 Nov 2019

  31. National Multiple Sclerosis Society: Multiple Sclerosis FAQs (2019). https://www.nationalmssociety.org/What-is-MS/MS-FAQ-s#question-How-many-people-have-MS. Accessed 26 Nov 2019

  32. Parkinson’s Foundation: Parkinson Statistics (2019). https://www.parkinson.org/Understanding-Parkinsons/Statistics. Accessed 26 Nov 2019

  33. National Institute of Neurological Disorders and Stroke: Muscular dystrophy information page (2019). https://www.ninds.nih.gov/Disorders/All-Disorders/Muscular-Dystrophy-Information-Page. Accessed 30 Nov 2019

  34. Theadom, A., Rodrigues, M., Roxburgh, R., Balalla, S., Higgins, C., Bhattacharjee, R., Jones, K., Krishnamurthi, R., Feigin, V.: Prevalence of muscular dystrophies: a systematic literature review. Neuroepidemiology 43(3–4), 259–268 (2014)

    Article  Google Scholar 

  35. Science Daily: How diabetes causes muscle loss (2019). https://www.sciencedaily.com/releases/2019/02/190222101309.htm. Accessed 26 Nov 2019

  36. World Health Organization: Global report on diabetes (2016). https://apps.who.int/iris/bitstream/handle/10665/204871/9789241565257_eng.pdf?sequence=1. Accessed 26 Nov (2019)

  37. Frederix, I., Vanhees, L., Dendale, P., Goetschalckx, K.: A review of telerehabilitation for cardiac patients. J. Telemed. Telecare 21(1), 45–53 (2015)

    Article  Google Scholar 

  38. Constantinescu, G., Theodoros, D., Russell, T., Ward, E., Wilson, S., Wootton, R.: Treating disordered speech and voice in Parkinson’s disease online: a randomized controlled non-inferiority trial. Int. J. Lang. Commun. Disord. 46(1), 1–16 (2011)

    Google Scholar 

  39. Khan, F., Amatya, B., Kesselring, J., Galea, M.: Telerehabilitation for persons with multiple sclerosis. A cochrane review. Eur. J. Phys. Rehabil. Med. 51, 311–325 (2015)

    Google Scholar 

  40. Cramer, S.C., Dodakian, L., Le, V., See, J., Augsburger, R., McKenzie, A., Zhou, R.J., Chiu, N.L., Heckhausen, J., Cassidy, J.M., et al.: Efficacy of home-based telerehabilitation vs in-clinic therapy for adults after stroke: a randomized clinical trial. JAMA Neurol. 76(9), 1079–1087 (2019)

    Article  Google Scholar 

  41. Peretti, A., Amenta, F., Tayebati, S.K., Nittari, G., Mahdi, S.S.: Telerehabilitation: review of the state-of-the-art and areas of application. JMIR Rehabil. Assist. Technol. 4(2), e7 (2017)

    Article  Google Scholar 

  42. Rybarczyk, Y., Luis Pérez Medina, J., Leconte, L., Jimenes, K., González, M., Esparza, D.: Implementation and assessment of an intelligent motor tele-rehabilitation platform. Electronics 8(1), 58 (2019)

    Article  Google Scholar 

  43. Pérez-Medina, J.L., Jimenes-Vargas, K.B., Leconte, L., Villarreal, S., Rybarczyk, Y., Vanderdonckt, J.: ePHoRt: towards a reference architecture for tele-rehabilitation systems. IEEE Access 7, 97159–97176 (2019)

    Article  Google Scholar 

  44. Tyagi, S., Lim, D.S., Ho, W.H., Koh, Y.Q., Cai, V., Koh, G.C., Legido-Quigley, H.: Acceptance of tele-rehabilitation by stroke patients: perceived barriers and facilitators. Arch. Phys. Med. Rehabil. 99(12), 2472–2477 (2018)

    Article  Google Scholar 

  45. Brouns, B., Meesters, J., Wentink, M., de Kloet, A., Arwert, H., Vlieland, T.V., Boyce, L., van Bodegom-Vos, L.: Why the uptake of erehabilitation programs in stroke care is so difficult-a focus group study in the netherlands. Implement. Sci. 13(1), 133 (2018)

    Article  Google Scholar 

  46. Pramuka, M., van Roosmalen, L.: Telerehabilitation technologies: accessibility and usability. Int. J. Telerehabil. 1(1), 85 (2009)

    Article  Google Scholar 

  47. Cao, Z., Hidalgo, G., Simon, T., Wei, S.E., Sheikh, Y.: Openpose: realtime multi-person 2d pose estimation using part affinity fields (2018). arXiv preprint arXiv:181208008

  48. Charlop-Christy, M., Carpenter, M., Le, L., LeBlanc, L., Kellet, K.: Using the picture exchange communication system (PECS) with children with autism: assessment of PECS acquisition, speech, social-communicative behavior, and problem behavior. Appl. Behav. Anal. 35(27), 213–231 (2013). https://doi.org/10.1901/jaba.2002.35-213

    Article  Google Scholar 

  49. Nielsen, J.: Flash 99% Bad (2000). Accessed 10 Aug 2018

  50. Chaykowski, K.: How ClassDojo built one of the most popular classroom apps by listening to teachers (2017). https://www.forbes.com/sites/kathleenchaykowski/2017/05/22/how-classdojo-built-one-of-the-most-popular-classroom-apps-by-listening-to-teachers/#3e27251b1e5e. Accessed 9 Nov 2018

  51. Huijbregts, T., Wallace, J.: TalkingTiles: Supporting personalization and customization in an AAC App for individuals with Aphasia. In: Proceedings of the 2015 International Conference on Interactive Tabletops and Surfaces—ITS ’15, no. 15–18, p. 10 (2015). https://doi.org/10.1145/2817721.2817723

  52. Kelleher, C., Tam, S., May, M., Profitt, R., Engsberg, J.: Towards a therapist-centered programming environment for creating rehabilitation games. In: 16th International Conference on Computer Games (CGAMES), no. 27–30, p. 8 (2011). https://doi.org/10.1109/CGAMES.2011.6000346

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Authors and Affiliations

  1. Department of Informatics, Pontifical Catholic University of Rio de Janeiro – PUC-Rio, Gávea, Rio de Janeiro, 22451-900, Brazil

    Jessica M. Palomares-Pecho & Alberto B. Raposo

  2. Tecgraf Institute, Pontifical Catholic University of Rio de Janeiro – PUC-Rio, Gávea, Rio de Janeiro, 22451-900, Brazil

    Greis Francy M. Silva-Calpa & Alberto B. Raposo

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  1. Jessica M. Palomares-Pecho
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Appendices

Appendix A: List of reviewed articles

See Table 6.

Table 6 List of review articles
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Appendix B: Description of each application proposed in the studies analyzed

See Table 7.

Table 7 Studies on adaptable applications, organized according to type of injury or disorder
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Palomares-Pecho, J.M., Silva-Calpa, G.F.M. & Raposo, A.B. End-user adaptable technologies for rehabilitation: a systematic literature review. Univ Access Inf Soc 20, 299–319 (2021). https://doi.org/10.1007/s10209-020-00720-z

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