Posts Tagged e-health

[Abstract+References] Influence awareness: considering motivation in computer-assisted rehabilitation

Abstract

The use of computers in the e-Health domain is becoming increasingly common, since technology is present in most aspects of our lives. In the rehabilitation field in particular, some additional issues requiring the use of computer-assisted therapies arise. On the one hand, there is a scarce availability of rehabilitation specialists and centers to satisfy the growing demand of their services. This problem gets even magnified because of the ageing population. On the other hand, the huge opportunities that the new interaction devices can bring to rehabilitation smooth the path towards novel therapies.

Nevertheless, even if a proper rehabilitation therapy is prescribed, it can fail because of the patient´s lack of motivation There are assorted motivation theories available in the literature to address this demotivation of patients. Unfortunately, there is no model or guide to put those theories into practice in computer-assisted rehabilitation. This paper is aimed at filling this gap by providing a model, namely Influence Awareness, to support the specification of motivation aspects in those applications used in computer-assisted rehabilitation.

Furthermore, some guidelines are also provided, so that the designer can get some extra guidance on some heuristics about how to design motivation. The integration of motivation design into a model-based development process is presented by showing how this motivation model is integrated into a task model. Finally, to better illustrate our approach a case study based on a collaborative e-Health system is also included.

References

  1. Adams JS (1963) Towards an understanding of inequity. J Abnorm Soc Psychol 67:422–436. https://doi.org/10.1037/h0040968CrossRefGoogle Scholar
  2. Cialdini RB (1993) Influence: the psychology of persuation. Morrow, New YorkGoogle Scholar
  3. Cialdini RB (2001) Harnessing the science of persuation. Hardvard Bus Rev 79:72–81Google Scholar
  4. Dourish P, Bellotti V (1992) Awareness and coordination in shared workspaces. In: ACM conference on Computer-supported cooperative work (CSCW’92). ACM Press, Toronto, pp 107–114Google Scholar
  5. Endsley MR (1995) Toward a theory of situation awareness in dynamic systems. Hum Factors J Hum Factors Ergon Soc 37:32–64. https://doi.org/10.1518/001872095779049543CrossRefGoogle Scholar
  6. European Commission (2016) eHealth and Ageing, https://ec.europa.eu/digital-single-market/en/ehealth-and-ageing. Accessed 19 Jul 2017
  7. García AS, Molina JP, Martínez D, González P (2008) Enhancing collaborative manipulation through the use of feedback and awareness in CVEs. In: 7th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry (VRCAI’08). ACM Press, Singapore, Thailand, p 1Google Scholar
  8. Gutwin C, Greenberg S (1999) The effects of workspace awareness support on the usability of real-time distributed groupware. ACM Trans Comput Interact 6:243–281. https://doi.org/10.1145/329693.329696CrossRefGoogle Scholar
  9. Gutwin C, Greenberg S (2002) A descriptive framework of workspace awareness for real-time groupware. Comput Support Coop Work 11:411–446. https://doi.org/10.1023/A:1021271517844CrossRefGoogle Scholar
  10. Gutwin C, Greenberg S, Roseman M (1996) Workspace awareness support with radar views. In: Conference companion on Human factors in computing systems common ground (CHI’96). ACM Press, Vancouver, pp 210–211Google Scholar
  11. Han HS, Lim NY (2002) Development of an instrument to measure the motivation for rehabilitation in the disabled. J Korean Acad Adult Nurs 14:554–563Google Scholar
  12. Hill J, Gutwin C (2004) The MAUI Toolkit: groupware widgets for group awareness. Comput Support Coop Work 13:539–571. https://doi.org/10.1007/s10606-004-5063-7CrossRefGoogle Scholar
  13. Joho H, Jose JM, Valenti R, Sebe N (2009) Exploiting facial expressions for affective video summarisation. In: ACM International Conference on Image and Video Retrieval (CIVR’09). ACM Press, Amsterdam, p 31:1–31:8Google Scholar
  14. Kampmeijer R, Pavlova M, Tambor M et al (2016) The use of e-Health and m-health tools in health promotion and primary prevention among older adults: a systematic literature review. BMC Health Serv Res 16:290. https://doi.org/10.1186/s12913-016-1522-3CrossRefGoogle Scholar
  15. Latham GP, Locke EA (1991) Self-regulation through goal setting. Organ Behav Hum Decis Process 50:212–247. https://doi.org/10.1016/0749-5978(91)90021-KCrossRefGoogle Scholar
  16. López-Jaquero V, Montero F (2016) Specifying how to motivate people in computer assisted rehabilitation. In: García C, Caballero-Gil P, Burmester M, Quesada-Arencibia A (eds) Ubiquitous computing and ambient intelligence. UCAmI 2016. Springer, New York, pp 99–110CrossRefGoogle Scholar
  17. Maclean N, Pound P (2000) A critical review of the concept of patient motivation in the literature on physical rehabilitation. Soc Sci Med 50:495–506. https://doi.org/10.1016/S0277-9536(99)00334-2CrossRefGoogle Scholar
  18. Maverick T (2015) Japan’s Tech Solution for Its Aging Population. In: Wall Str. Dly. http://www.wallstreetdaily.com/2015/07/11/japan-healthcare-robots/. Accessed 3 May 2017
  19. McClelland DC (1988) Human motivation. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  20. Montero F, López-Jaquero V, Navarro E, Sánchez E (2011) Computer-aided relearning activity patterns for people with acquired brain injury. Comput Educ 57:1149–1159. https://doi.org/10.1016/j.compedu.2010.12.008CrossRefGoogle Scholar
  21. Neyem A, Aracena C, Collazos Ordóñez CA, Alarcón R (2007) Designing emotional awareness devices: what one sees is what one feels. Ingeniare Rev Chil Ing 15:227–235CrossRefGoogle Scholar
  22. Norman DA (1988) The design of everyday things. Basic Books, New YorkGoogle Scholar
  23. Pickrell M, Bongers B, van den Hoven E (2015) Understanding persuasion and motivation in interactive stroke rehabilitation. In: MacTavis T, Basapur Hs (eds) Persuasive technology. Springer, New York, pp 15–26CrossRefGoogle Scholar
  24. Roseman M, Greenberg S (1996) Building real-time groupware with GroupKit, a groupware toolkit. ACM Trans Comput Interact 3:66–106. https://doi.org/10.1145/226159.226162CrossRefGoogle Scholar
  25. Ryan RM, Deci EL (2000) Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol 55:68–78. https://doi.org/10.1037//0003-066X.55.1.68CrossRefGoogle Scholar
  26. Ryan RM, Frederick CM, Lepes D, Rubio N, Sheldon KM (1997) Intrinsic motivation and exercise adherence. Int J Sport Psychol 28(4):335–354Google Scholar
  27. Stracker D (2016) Factors underlying Cialdini’s six principles. In: Chang. Minds. http://changingminds.org/techniques/general/cialdini/underlying_factors.htm. Accessed 19 Jul 2017
  28. Teruel MA (2017) CSRML Tool 2015 featuring Influence Awareness. In: Vis. Stud. Marketpl. https://marketplace.visualstudio.com/items?itemName=MiguelATeruel.CSRMLTool2015featuringInfluenceAwareness. Accessed 28 Apr 2017
  29. Teruel MA, Navarro E, López-Jaquero V et al (2014) A CSCW requirements engineering CASE tool: development and usability evaluation. Inf Softw Technol 56:922–949. https://doi.org/10.1016/j.infsof.2014.02.009CrossRefGoogle Scholar
  30. Teruel MA, Navarro E, González P et al (2016) Applying thematic analysis to define an awareness interpretation for collaborative computer games. Inf Softw Technol 74:17–44. https://doi.org/10.1016/j.infsof.2016.01.009CrossRefGoogle Scholar
  31. Teruel MA, Navarro E, López-Jaquero V et al (2017) A Comprehensive framework for modeling requirements of CSCW systems. J Softw Evol Process. https://doi.org/10.1002/smr.1858Google Scholar
  32. Vroom VH (1964) Work and motivation. Wiley, New YorkGoogle Scholar
  33. W3C Working Group (2014) Introduction to model-based user interfaces. In: w3c. https://www.w3.org/TR/mbui-intro/. Accessed 3 May 2017
  34. Yu ESK (1997) Towards modelling and reasoning support for early-phase requirements engineering. In: 3rd IEEE International Symposium on Requirements Engineering (ISRE’97). IEEE Comput. Soc. Press, Annapolis, USA, pp 226–235Google Scholar

via Influence awareness: considering motivation in computer-assisted rehabilitation | SpringerLink

, , , , , ,

Leave a comment

[SLIDESHOW/PDF] Successes and Barrier of Implementing Telehealth Models of Rehabilitation with Children and Adults – The Ohio State University

Learning Objectives

  1. Understand the terminology related to telehealth/ telerehabilitation
  2. Describe evidence-based clinical applications of telehealth in OT

  3. Discuss how the use of telehealth technologies may contribute to a world of health and well being

Download PDF Slideshow 

, , ,

Leave a comment

[ARTICLE] Caregiver-mediated exercises with e-health support for early supported discharge after stroke (CARE4STROKE): study protocol for a randomized controlled trial – Full Text HTML

Abstract

Background: Several systematic reviews have shown that additional exercise therapy has a positive effect on functional outcome after stroke. However, there is an urgent need for resource-efficient methods to augment rehabilitation services without increasing health care costs. Asking informal caregivers to do exercises with their loved ones, combined with e-health services may be a cost-effective method to promote early supported discharge with increased functional outcome.

The primary aim of the CARE4STROKE study is to evaluate the effects and cost-effectiveness of a caregiver-mediated exercises program combined with e-health services after stroke in terms of self-reported mobility and length of stay.

Methods: An observer-blinded randomized controlled trial, in which 66 stroke-patients admitted to a hospital stroke unit, rehabilitation center or nursing home are randomly assigned to either 8 weeks of the CARE4STROKE program in addition to usual care (i.e., experimental group) or 8 weeks of usual care alone (i.e., control group). The CARE4STROKE program is compiled in consultation with a trained physical therapist. A tablet computer is used to present video-based exercises for gait and gait-related activities in which a caregiver acts as an exercise coach.

Primary outcomes are the mobility domain of the Stroke Impact Scale and length of stay. Secondary outcomes are the other domains of the Stroke Impact Scale, motor impairment, strength, walking ability, balance, mobility, (Extended) Activities of Daily Living, psychosocial functioning, self-efficacy, fatigue, health-related quality of life of the patient as well as the experienced strain, psychosocial functioning and quality of life of the caregiver. An economic evaluation will be conducted from the societal and health care perspective.

Discussion: The main aspects of the CARE4STROKE program are

  1. increasing intensity of training by doing exercises with a caregiver in addition to usual care and
  2. e-health support.

We hypothesize this program leads to better functional outcome and early supported discharge, resulting in reduced costs.

Source: Caregiver-mediated exercises with e-health support for early supported discharge after stroke (CARE4STROKE): study protocol for a randomized controlled trial – Springer

, , , , , , , ,

Leave a comment

%d bloggers like this: