Improving adherence to therapy is a critical component of advancing outcomes and reducing the cost of rehabilitation. A robotic platform was previously developed to explore how robotics could be applied to the social dimension of rehabilitation to improve adherence. This paper aims to report on feedback given by end users of the robotic platform as well as the practical applications that socially assistive robotics could have in the daily life activities of a patient. A group of 10 former and current patients interacted with the developed robotic platform during a simulated exercise session before taking an experience-based survey. A portion of these participants later provided verbal feedback as part of a focus group on the potential utility of such a platform. Identified applications included assistance with reaching exercise goals, managing to-do lists, and supporting participation in social and recreational activities. The study participants expressed that the personality characteristics of the robotic system should be adapted to individual preferences and that the assistance provided over time should align with the progress of their recovery. The results from this study are encouraging and will be useful for further development of socially assistive robotics. 1. Introduction Assistive robotics are often used in contemporary rehabilitation practice to support recovery from injury or condition-related impairments by helping patients perform exercises for which occupational and physical therapists typically provide hands-on assistance [1–4]. Socially assistive robotics provide noncontact user support and coaching to help patients adhere to home exercise and activity recommendations; this type of assistive robotics is at an earlier stage of development than robotics that involve physical interfaces and interactions with end users [5, 6]. Rehabilitative robotics has the potential to enhance adherence to rehabilitation recommendations, which is known to be difficult for those with chronic health conditions [7]. Research suggests that poor adherence compromises health outcomes [8], while high levels of therapy practice optimize motor recovery [9], underscoring the importance of strategies and technologies that bring rehabilitation support into patients’ homes. Patients appear best able to follow through with rehabilitation exercise and activity recommendations with adherence support specifically tailored to their unique personal, social, and environmental requirements, enablers, and barriers [10]. By supporting each patient’s requirements for at-home
References
[1]
H. A. Abdullah, C. Tarry, C. Lambert, S. Barreca, and B. O. Allen, “Results of clinicians using a therapeutic robotic system in an inpatient stroke rehabilitation unit,” Journal of Neuroengineering and Rehabilitation, vol. 8, no. 1, article 50, 2011.
[2]
S. S. Conroy, J. Whitall, L. Dipietro et al., “Effect of gravity on robot-assisted motor training after chronic stroke: a randomized trial,” Archives of Physical Medicine and Rehabilitation, vol. 92, no. 11, pp. 1754–1761, 2011.
[3]
T. H. Wagner, A. C. Lo, P. Peduzzi et al., “An economic analysis of robot-assisted therapy for long-term upper-limb impairment after stroke,” Stroke, vol. 42, no. 9, pp. 2630–2632, 2011.
[4]
N. Norouzi-Gheidari, P. S. Archambault, and J. Fung, “Effects of robot-assisted therapy on stroke rehabilitation in upper limbs: systematic review and meta-analysis of the literature,” Journal of Rehabiltiative Research and Development, vol. 49, pp. 479–496, 2012.
[5]
P. Gadde, H. Kharrazi, H. Patel, and K. F. MacDorman, “Toward monitoring and increasing exercise adherence in older adults by robotic intervention: a proof of concept study,” Journal of Robotics, vol. 2011, Article ID 438514, 11 pages, 2011.
[6]
M. J. Matari?, J. Eriksson, D. J. Feil-Seifer, and C. J. Winstein, “Socially assistive robotics for post-stroke rehabilitation,” Journal of NeuroEngineering and Rehabilitation, vol. 4, article 5, 2007.
[7]
E. R. Levensky and T. W. O’Donohue, “Patient adherence and nonadherence to treatments: an overview for health care providers,” in Promoting Treatment Adherence, E. R. Levensky and T. W. O’Donohue, Eds., pp. 3–14, Sage, Thousand Oaks, Calif, USA, 2006.
[8]
World Health Organization, Adherence to Long Term Therapies: Evidence for Action, WHO, Geneva, Switzerland, 2003.
[9]
D. X. Cifu, J. S. Kreutzer, S. A. Kolakowsky-Hayner, J. H. Marwitz, and J. Englander, “The relationship between therapy intensity and rehabilitative outcomes after traumatic brain injury: a multicenter analysis,” Archives of Physical Medicine and Rehabilitation, vol. 84, no. 10, pp. 1441–1448, 2003.
[10]
M. V. Radomski, “More than good intentions: advancing adherence to therapy recommendations,” American Journal of Occupational Therapy, vol. 65, no. 4, pp. 471–477, 2011.
[11]
L. I. Oddsson, M. V. Radomski, M. White, and D. Nilsson, “A robotic home telehealth platform system for treatment adherence, social assistance and companionship—an overview,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 2009, pp. 6437–6440, 2009.
[12]
R. O. Smith, “Technology approaches to performance enhancement,” in Occupational Therapy Overcoming Human Performance Deficits, p. 763, Slack, Thorfare, NJ, USA, 1991.