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Promoting Behaviour Change in Long Term Conditions Using a Self-management Platform

  • P. J. McCullagh
  • C. D. Nugent
  • H. Zheng
  • W. P. Burns
  • R. J. Davies
  • N. D. Black
  • P. Wright
  • M. S. Hawley
  • C. Eccleston
  • S. J. Mawson
  • G. A. Mountain
Conference paper

Abstract

By 2050, it is estimated that the number of people aged 60 and over will more than double from 650 million of the global population to 2 billion, representing 22% of humanity. In addition, the number of persons aged 80 and older is increasing rapidly: by 2050, they will constitute approximately 20% of the older population (UN, 2006). In the United States, eighty percent of older adults have at least one chronic condition, and 50% have more (CDC, 2009). In the UK, it is estimated that 17.5 million adults are living with a long term condition. The management and treatment of chronic conditions demands a major proportion of health and social care resources (DH, 2004). These long term conditions are recognised to have huge impact on the physical, emotional and mental well-being of individuals, often making it difficult for people to perform daily routines and to engage in an active social life.

Keywords

Term Condition Promote Behaviour Change Active Social Life User Centered Design Approach Context Base Education 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Battersby M, Hoffmann S, Cadilhac D, Osborne R, Lalor E, Lindley R (2009) Getting your life back on track after stroke: a phase II multi-centered, single-blind, randomized, controlled trial of the stroke self-management program vs. the Stanford chronic condition self-management program or standard care in stroke survivors. International Journal of Stroke, 4(2): 67–145CrossRefGoogle Scholar
  2. Bodenheimer T, Wagner EH, Grumbach K (2002a) Improving primary care for patients with chronic illness. The chronic care model, part 2. Journal of the American Medical Association, 288(15): 1909–1914CrossRefGoogle Scholar
  3. Bodenheimer T, Wagner EH, Grumbach K (2002b) Improving primary care for patients with chronic illness. Journal of the American Medical Association, 288(14): 1775–1779CrossRefGoogle Scholar
  4. Burns WP, Nugent CD, McCullagh PJ, Zheng H, Finlay DD, Davies RJ et al. (2008) Personalisation and configuration of assistive technologies. In: Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2008), Vancouver, British Columbia, CanadaGoogle Scholar
  5. CDC (2009) Healthy aging improving and extending quality of life among older americans – at a glance 2009. Centers for Disease Control and Prevention. Available at: www.cdc.gov/NCCdphp/publications/aag/aging.htm (Accessed on 19 November 2009)Google Scholar
  6. Consolvo S, Klasnja P, Avrahami D, Legrand L, Libby R, Mosher K et al. (2008) Flowers or a robot army? Encouraging awareness and activity with personal, mobile displays. In: Proceedings of the 10th International Conference on Ubiquitous Computing (UbiComp 2008), Seoul, South KoreaGoogle Scholar
  7. Cooper A, Reimann R, Cronin D (2007) About face 3: the essentials of interaction design, 3rd edn. Wiley, Indianapolis, IN, USGoogle Scholar
  8. DH (2004) Improving chronic disease management. Department of Health, UK. Available at: www.dh.gov.uk/assetRoot/04/07/52/13/04075213.pdf (Accessed on 19 November 2009)Google Scholar
  9. EC (2006) ICT for Health i2010. Transferring the European healthcare landscape. European Commission. Available at: http://ec.europa.eu/information_society/activities/health/docs/publications/ictforhealthand-i2010-final.pdf (Accessed on 19 November 2009)Google Scholar
  10. Effing TW, Monninkhof EM, van der Valk PD, van der Palen J, van Herwaarden CL, Partidge MR et al. (2007) Self-management education for patients with chronic obstructive pulmonary disease (Cochrane Review). The Cochrane Library. Issue 4. John Wiley & SonsGoogle Scholar
  11. Gaver W, Dunne T, Pacenti E (1999) Cultural probes. Interactions, 6(1): 21–29CrossRefGoogle Scholar
  12. Lamb SE, Ferrucci L, Volapto S, Fried LP, Guralnik JM (2003) Risk factors for falling in home-dwelling older women with stroke: the women’s health and aging study. Stroke, 34: 494–501CrossRefGoogle Scholar
  13. MIT Medic Lab (2009) Available at: http://affect.media.mit.edu/ (Accessed on 19 November 2009)Google Scholar
  14. SMART Consortium (2007) Available at: www.thesmartconsortium.org (Accessed on 19 November 2009)Google Scholar
  15. Taylor DM, Cameron JI, Walsh L, McEwen S, Kagan A, Streiner DL et al. (2009) Exploring the feasibility of videoconference delivery of a self-management program to rural participants with stroke. Telemedicine Journal and E-health, 15(7): 646–654CrossRefGoogle Scholar
  16. UN (2006) Population aging 2006. Department of Economic and Social Affairs, United Nations. Available at: www.un.org/esa/population/publications/ageing/ageing2006.htm (Accessed on 19 November 2009)Google Scholar
  17. Vowles KE, McCracken LM (2008) Acceptance and values-based action in chronic pain: a study of treatment effectiveness and process. Journal of Consulting and Clinical Psychology, 76(3): 397–407CrossRefGoogle Scholar
  18. Yelnik AP, Le Breton F, Colle FM, Bonan IV, Hugeron C, Egal V at al. (2008) Rehabilitation of balance after stroke with multisensorial training: a single-blind randomized controlled study. Neurorehabil Neural Repair, 22: 468–476CrossRefGoogle Scholar
  19. Zheng H, Black ND, Harris HD (2005) Position-sensing technologies for movement analysis in stroke rehabilitation. Medical and Biological Engineering and Computing, 43(4): 413–420CrossRefGoogle Scholar
  20. Zheng H, Davies RJ, Hammerton J, Mawson SJ, Ware PM, Black ND et al. (2006) SMART project: application of emerging information and communication technology to home-based rehabilitation for stroke patients. International Journal on Disability and Human Development, 5(3): 271–276Google Scholar
  21. Zheng H, Davies R, Stone T, Wilson S, Hammerton J, Mawson SJ et al. (2007) SMART rehabilitation: implementation of ICT platform to support home-based stroke rehabilitation. In: Proceedings of the 2nd International Conference on Usability and Internationalization, Part I (HCII 2007), Beijing, ChinaGoogle Scholar
  22. Zheng H, Nugent CD, McCullagh PJ, Black ND, Eccleston C, Bradley D et al. (2008) Towards a decision support personalised self management system for chronic conditions. In: Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control (ICNSC 2008), Hainan, ChinaGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2010

Authors and Affiliations

  • P. J. McCullagh
    • 1
  • C. D. Nugent
    • 1
  • H. Zheng
    • 1
  • W. P. Burns
    • 1
  • R. J. Davies
    • 1
  • N. D. Black
    • 2
  • P. Wright
    • 3
  • M. S. Hawley
    • 4
  • C. Eccleston
    • 5
  • S. J. Mawson
    • 6
  • G. A. Mountain
    • 7
  1. 1.School of Computing and MathematicsUniversity of UlsterJordanstownUK
  2. 2.Research and InnovationUniversity of UlsterColeraineUK
  3. 3.Cultural, Communications and Computing Research InstituteSheffield Hallam UniversitySheffieldUK
  4. 4.Health Services ResearchUniversity of SheffieldSheffieldUK
  5. 5.Bath Pain Management UnitUniversity of BathBathUK
  6. 6.Centre for Health and Social Care ResearchSheffield Hallam UniversitySheffieldUK
  7. 7.School of Health and Related ResearchUniversity of SheffieldSheffieldUK

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