Developing a personalised self-management system for post stroke rehabilitation; utilising a user-centred design methodology

References

• Saka Ö, Serra V, Samyshkin Y, et al. Cost-effectiveness of stroke care followed by early supported discharge. Stroke 2009;40:24–9
   PubMed Web of Science ®Google Scholar
• Strong K, Mathers C, Bonita R. Preventing stroke: saving lives around the world. Lancet Neurol 2007;6:182–7
   PubMed Web of Science ®Google Scholar
• Langhorne P, Bernhardt J, Kwakkel G. Stroke care 2: stroke rehabilitation. Lancet 2011;377:1693–702
   PubMed Web of Science ®Google Scholar
• Ones K, Yilmaz E, Cetinkaya B, Calgar N. Quality of life for patients poststroke and the factors affecting it. J Stroke Cerebrovasc Dis 2005;14:261–6
   PubMedGoogle Scholar
• O’Connell B, Hanna B, Penney W, et al. Recovery after stroke: a qualitative perspective. J Qual Clin Pract 2001;21:120–5
   PubMedGoogle Scholar
• Cott CA, Wiles R, Devitt R. Continuity, transition and participation: preparing clients for life in the community post-stroke. Disabil Rehabil 2007;29:1566–74
   PubMed Web of Science ®Google Scholar
• Desrosiers J, Rochette A, Noreau L, et al. Long-term changes in participation after stroke. Top Stroke Rehabil 2006;13:86–96
   PubMed Web of Science ®Google Scholar
• Mayo NE, Wood-Dauphinee S, Cote R, et al. Activity, participation and quality of life 6 months poststroke. Arch Phys Med Rehabil 2002;83:1035–42
   PubMed Web of Science ®Google Scholar
• Rochette A, Desrosiers J, Bravo G, et al. Changes in participation after a mild stroke: quantitative and qualitative perspectives. Top Stroke Rehabil 2007;14:59–68
   PubMed Web of Science ®Google Scholar
• Kleim JA, Jones TA. Principles of experience-dependent neural plasticity: implications for rehabilitation after brain damage. J Speech Lang Hear Res 2008;51:S225–39
   PubMed Web of Science ®Google Scholar
• Krakauer JW. Motor learning: its relevance to stroke recovery and neurorehabilitation. Curr Opin Neurol 2006;19:84–90
   PubMed Web of Science ®Google Scholar
• Kreisel SH, Hennerici MG, Bäzner H. Pathophysiology of stroke rehabilitation: the natural course of clinical recovery, use-dependent plasticity and rehabilitative outcome. Cerebrovasc Dis 2007;23:243–55
   PubMed Web of Science ®Google Scholar
• Intercollegiate Stroke Working Party. National clinical guidelines for stroke: improving motor control. 4th ed. London: Royal College of Physicians; 2012
   Google Scholar
• Department of Health. National service framework (NSF) for older people. London: Department of Health; 2001
   Google Scholar
• Department of Health. The Expert Patient Programme. London: Crown Copyright; 2010. Available from: http://webarchive.nationalarchives.gov.uk/+/www.dh.gov.uk/en/Aboutus/MinistersandDepartmentLeaders/ChiefMedicalOfficer/Archive/ProgressOnPolicy/ProgressBrowsableDocument/DH_4102757. 2009 [last accessed 28 Sept 2010]
   Google Scholar
• Royal college of Physicians. Clinicians, services and commissioning in chronic disease management in the NHS. London: RCP; 2004
   Google Scholar
• Department of Health. Supporting people with long-term conditions: an NHS and social care model to support local innovation and integration. London: DoH; 2005
   Google Scholar
• Department of Health. Self -care: a real choice. London: DoH; 2005
   Google Scholar
• Department of Health. Self-care support: a compendium of practical examples across the whole system of health and social care. London: DoH; 2005
   Google Scholar
• Smith R. Improving the management of chronic disease. BMJ 2003;327:12
   PubMedGoogle Scholar
• Foster G, Taylor SJC, Eldridge S, et al. Self-management education programmes by lay leaders for people with chronic conditions. Cochrane Database Syst Rev 2007;(4):CD005108. DOI: 10.1002/14651858.CD005108.pub2
   Google Scholar
• Torsi S, Nasr N, Wright P, et al. User-centred design for supporting the self-management of chronic illnesses: an interdisciplinary approach. Proceedings of 2nd International Conference on Pervasive Technologies related to Assistive Environment, June 9--13, Corfu, Greece; 2009
   Google Scholar
• Nasr N, Torsi S, Mawson S, et al. Self-management of stroke supported by assistive technology. Proceedings of IEEE International Conference on Virtual Rehabilitation, June 29--July 2, Haifa, Israel; 2009
   Google Scholar
• Nasr N, Torsi S, Wright P, et al. Supporting the self- management of stroke by applying a user-centred design approach. Clin Rehabil 2010;24:276–87
   Google Scholar
• MRC. Developing and evaluating complex interventions: new guidance. London: Medical Research Council; 2008
   Google Scholar
• The Smart Consortium. Sheffield, UK. Available from: www.thesmartconsortium.org [last accessed 5 June 2013]
   Google Scholar
• Mawson S, Mountain G. The SMART rehabilitation system for stroke self-management: issues and challenges for evidence-based health technology research. J Phys Ther Educ 2011;25:48–53
   Google Scholar
• Zheng H, Nugent C, McCullagh P, et al. Smart self-management: assistive technology to support people with chronic disease. J Telemed Telecare 2010;16:224–7
   PubMed Web of Science ®Google Scholar
• Mountain G, Wilson S, Eccleston C, et al. Developing and testing a telerehabilitation system for people following stroke: issues of usability. J Eng Des 2010;21:223–36
   Web of Science ®Google Scholar
• Parker J, Mountain GA, Hammerton J. An investigation into stroke patients’ utilisation of feedback from computer-based technology. In: Langdon P, Clarkson J, Robinson P, eds. Designing inclusive interactions. London: Springer-Verlag; 2010:167–76
   Google Scholar
• (a) Wright P, McCarthy J. Experience-centred design: designers, users and communities in dialogue. New York: Morgan Claypool; (b) Bandura A. Social foundations of thought and action: a social cognitive theory, 2010. Englewood Cliffs (NJ): Prentice-Hall, Inc; 1986
   Google Scholar
• Gaver W, Dunne T, Pacenti E. Cultural probes. Interactions 1999;6:21–9
   Google Scholar
• Blythe M, Monk A, Park J. Technology biographies: field study techniques for home use product development. In Proc. CHI ‘02 (extended abstracts). Minneapolis (MN): ACM Press; 2002:658–9
   Google Scholar
• Rosser B, Vowles KE, Keogh E, et al. Technologically assisted behavior change: a systematic review of studies of novel technologies for the management of chronic illness. J Telemed Telecare 2009;15:327–38
   PubMed Web of Science ®Google Scholar
• Monk A, Wright P, Haber J, Davenport L. Improving your human-computer interface: a practitioner’s guide. Hemel Hempstead, UK: Prentice Hall; 1993
   Google Scholar
• Nasr N, Mawson S, Parker J, et al. Using experience to inform the development of a stroke self-management technology. Manuscript in preparation
   Google Scholar
• McCullagh PJ, Mountain GA, Black ND, et al. Knowledge transfer for technology based interventions: collaboration, development and evaluation. Technol Disabil 2012;24:233–43
   Google Scholar
• Cooper A, Reimann R, Cronin D. About face 3. The essentials of interaction design. Indiana: Wiley; 2007
   Google Scholar
• McLellan DL. Introduction to rehabilitation. In: Wilson BA, McLellan DL, eds. Rehabilitation studies handbook. Cambridge, UK: Cambridge University Press; 1997:1--19
   Google Scholar
• Parker J, Mawson S, Mountain G, et al. The provision of feedback through computer-based technology to promote self-managed post-stroke rehabilitation in the home. Disabil Rehabil Assist Technol. 2013. [Epub ahead of print]
   Google Scholar
• Tomorrow Options. UK: Sheffield. Available from: http://www.tomorrow-options.com/ [last accessed 30 May 2013]
   Google Scholar
• Parker J, Mawson S, Mountain G, et al. Stroke patients’ utilisation of extrinsic feedback from computer-based technology in the home: a realistic evaluation. BMC Med Inform Decis Mak. Under review
   Google Scholar
• Parker J. Stroke patients’ utilisation of extrinsic feedback from computer-based technology in the home [PhD thesis]. UK: Sheffield Hallam University; 2012
   Google Scholar
• Creer TL, Holroyd KA. Self-management. In: Baum A, McManus C, Newman S, et al., eds. Cambridge handbook of psychology, health, and behaviour. Cambridge, England: Cambridge University Press; 1997:255–8
   Google Scholar
• Lorig K, Holman H. Self-management education: history, definition, outcomes and mechanisms. Ann Behav Med 2003;26:1–7
   PubMed Web of Science ®Google Scholar
• Jones F. Changing self-efficacy in individuals following a first-time stroke: preliminary study of a novel self-management intervention. Clin Rehabil 2009;23:522–33
   PubMed Web of Science ®Google Scholar
• Pawson R, Tilley N. Realistic evaluation. London: Sage; 1997
   Google Scholar
• Pawson R, Tilley N. Realist evaluation; 2004. Available from: http://www.communitymatters.com.au/RE_chapter.pdf [last accessed 5 Jun 2013]
   Google Scholar
• Pawson R, Tilley N. Realistic evaluation. In: Mathison S, ed. Encyclopedia of evaluation. Thousand Oaks (CA): Sage Publications; 2005:362–7
   Google Scholar