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Designing Digital Goal Support Systems for Multimorbidity Self-Management: Insights from Older Adults and their Care Network

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Published:21 May 2018Publication History

ABSTRACT

Older people with multiple chronic conditions face significant challenges self-managing health and wellbeing. Digital behaviour change interventions can motivate and empower self-management. Goal-setting, combined with progress feedback, is a technique often used in such interventions. However, there is little knowledge of digital goal-setting practices of older people, particularly those with multiple complex health conditions. In this paper, we describe an extensive qualitative study with older people with multiple chronic conditions and members of their care network, exploring issues around current practices setting and meeting health and wellbeing goals. Our findings indicate that there are unique challenges for this cohort that may prevent them from setting and meeting goals, including lack of support and feedback, and the impact of their illnesses. We outline a series of digital design features to address challenges relating to goals for this cohort, highlighting those specific to multimorbidity.

References

  1. E. Agapie, D. Avrahami, and J. Marlow. 2016. Staying the course: System-driven lapse management for supporting behaviour change. In CHI 2016, pp. 1072--1083. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. A. Bandura. 1977. Self-efficacy: Toward a unifying theory of behavior change. In Psychol Rev, 84, 2, pp. 191--215.Google ScholarGoogle ScholarCross RefCross Ref
  3. BCC Research. 2013. Mobile devices driving unprecedented growth in self-monitoring technologies market. Available at: https://www.bccresearch.com/pressroom/hlc/mobile-devices-driving-unprecedented-growth-in-self-monitoring-technologies-marketsGoogle ScholarGoogle Scholar
  4. T.W. Bickmore, L. Caruso and K. Clough-Gorr. 2005. Acceptance and usability of a relational agent interface by urban older adults. In CHI Ext Abstracts. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. S. Consolvo, K. Everitt, I. Smith and J.A. Landay. 2006. Design requirements for technologies that encourage physical activity. In CHI '06. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. S. Consolvo, P. Klasnja, D.W. McDonald and J.A. Landay. 2014. Designing for healthy lifestyles: Design considerations of mobile technologies to encourage consumer health and wellness. In Journal of Foundations and Trends in Human-Computer Interaction, 6, (3-4), pp. 167--315. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. S. Consolvo, P. Klasnja, D.W McDonald, et al. 2008. Flowers or a robot army? Encouraging awareness and activity with personal, mobile displays. In International Conference on Ubiquitous Computing, Ubi-Comp, pp. 54--63. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. A. Coulter, S. Roberts, A. Dixon. 2013. Delivering better services for people with long-term conditions. Building the house of care. London: The Kings Fund.Google ScholarGoogle Scholar
  9. G.T. Doran. 1981. There's a S.M.A.R.T way to write management's goals and objectives. In Management Review. AMA Forum, 70, (11).Google ScholarGoogle Scholar
  10. J. Doyle, N. Caprani and R. Bond. 2015. Older adults' attitudes to self-management of health and wellness through smart home data. In Pervasive Health. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. G. Eyesnbach, J. Powell, M. Englesakis, C. Rizo and A. Stern. 2004. Health related virtual communities and electronic support groups: systematic review of the effects of online peer to peer interaction. In BMJ, 328 (7449).Google ScholarGoogle Scholar
  12. J. Gunn, D. Ayton, K. Densley, J. Pallant, P. Chondros, H. Herman and C. Dowrick. 2012. The association between chronic illness, multimorbidity and depressive symptoms in an Australian primary care cohort. In Social Psychiatry and Psychiatric Epidemiology, 47, (2), pp. 175--184.Google ScholarGoogle ScholarCross RefCross Ref
  13. R. Haas, W. Mason and T.P. Haines. 2014. Difficulties experienced in setting and achieving goals by participants of a falls prevention programme: A mixed-methods evaluation. In Phystiother Can, 66, (4).Google ScholarGoogle Scholar
  14. A. Konrad, V. Belotti, N. Crenshaw, et al. 2015. Finding the adaptive sweet spot: Balancing compliance and achievement in automated stress reduction. In CHI. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. J.J. Lin, L. Mamykina, S. Lindtner, G. Delajoux and H.B. Strub. 2006. Fish 'n' Steps: Encouraging physical activity with an interactive computer game. In UbiComp '06, pp. 261--278. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. E.A. Locke and G.P. Latham. 2002. Building a practically useful theory of goal setting and task motivation. A 35-year odyssey. In Am Psychology, 57, (9).Google ScholarGoogle Scholar
  17. E.A. Locke, A. Marvam and J.A. Wagner III. 1997. Participation in decision making: An information exchange perspective. In Research in Personnel and Human Resources Management, pp. 293--331. Greenwich, CT: JAI Press.Google ScholarGoogle Scholar
  18. A. Marengoni, S. Angleman, R. Melis, F. Mangialasche, A. Karp, A. Garmen, B. Meinow and L. Fragilioni. 2011. Aging with multimorbidity: A systematic review of the literature. In Ageing Res Rev, 10, (4), pp. 430--9.Google ScholarGoogle ScholarCross RefCross Ref
  19. K. Mercer, M. Li, L. Giangregorio, C. Burns, C and K. Grindrod. 2016. Behavior change techniques present in wearable activity trackers: A critical analysis. In JMIR Mhealth Uhealth, 4, (2).Google ScholarGoogle Scholar
  20. W.C.N. Mischel. 1996. Principles of self-regulation: The nature of willpower and self-control. In Social Psychology. Handbook of Principles, New York: Guilford.Google ScholarGoogle Scholar
  21. H.L. Morris, K.E. Carlyle and J. Elston Larfata. 2016. Adding the patient's voice to our understanding of collaborative goal setting: How do patients with diabetes define collaborative goal setting. In Journal of Chronic Illness, 12, (4).Google ScholarGoogle ScholarCross RefCross Ref
  22. L.G. Morrison. 2015. Theory-based strategies for enhancing the impact and usage of digital health behavior change interventions: A review. In Digital Health, 1.Google ScholarGoogle Scholar
  23. L.G. Morrison, R. Moss-Morris, S. Michie and L. Yardley. 2014. Optimizing engagement with Internet-based health behaviour change interventions: Comparison of self-assessment with and without tailored feedback using a mixed-methods approach. In British Journal of Health Psychology, 19, (4), pp. 839--855.Google ScholarGoogle ScholarCross RefCross Ref
  24. L.G. Morrison, L. Yardley, J. Powell and S. Michie. 2012. What design features are used in effective e-Health interventions? A review using techniques from Critical Interpretive Synthesis. In Telemedicine and e-Health, 18, pp. 137--144.Google ScholarGoogle ScholarCross RefCross Ref
  25. DB Reuben and ME Tinetti. 2012. Goal-oriented pateient care -- An alternative health outcomes paradigm. In New England Journal of Medicine, 366, (9).Google ScholarGoogle ScholarCross RefCross Ref
  26. M. Rijken, V. Struckmann, M. Dyakova, et al. 2013. ICARE4EU: Improving care for people with multiple chronic conditions in Europe. In Eurohealth Incorporating Euro Observer, 19, (3).Google ScholarGoogle Scholar
  27. P.R. Sama, Z.J. Eapen, K.P. Weinfurt, B.R. Shah and K.A. Schulman. 2014. An evaluation of mobile health application tools. In JMIR mHealth and uHealth, 2, (2).Google ScholarGoogle Scholar
  28. B. Starsfield, L. Shi and J. Macinko. 2005. Contribution of primary care to health systems and health. In Millbank Q, 83, pp. 457--502.Google ScholarGoogle ScholarCross RefCross Ref
  29. L. Yardley, L. Morrison, K. Bradbury and I. Muller. 2015. The person-based approach to intervention development: application to digital health-related behavior change interventions. In Journal of Medical Internet Research, 17(1), e30.Google ScholarGoogle ScholarCross RefCross Ref

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  • Published in

    cover image ACM Other conferences
    PervasiveHealth '18: Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare
    May 2018
    413 pages
    ISBN:9781450364508
    DOI:10.1145/3240925

    Copyright © 2018 ACM

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    Publication History

    • Published: 21 May 2018

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