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Bringing the Home into the Hospital: Assisting the Pre-Discharge Home Visit Process Using 3D Home Visualization Software

  • Arthur G. Money
  • Anne McIntyre
  • Anita Atwal
  • Georgia Spiliotopoulou
  • Tony Elliman
  • Tim French
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6768)

Abstract

The feasibility of using interactive 3D home visualization software (I3DHVS) as a tool to aid Occupational Therapists (OTs) in carrying out pre-discharge home visits (PDHV) is explored. Three focus groups involving 25 OTs from across the UK were carried out. Participants were asked to report their level of experience with Information Technology (IT) and gaming software. After a demonstration of the I3DHVS OTs were asked to discuss where, when, how and by whom this software may potentially be used, and to identify associated strengths, weaknesses, opportunities and threats (SWOT) of use within the specified contacts. A thematic template analysis was then carried out on the transcribed focus group data which focused on two key Technology Acceptance Model (TAM) criteria which mediate users’ behavioral intention and actual use of new technologies: (1) the Perceived Usefulness (PU) of the software within the PDHV process; (2) the Perceived Ease of Use (PEoU) of the software. The results revealed that although a number of adaptations to the existing application may be necessary, OTs are optimistic about the use of I3DHVS with a range of patient groups. The tool was also seen to have the potential to improve communication and collaboration across inter-agency care teams.

Keywords

Virtual Reality National Health Service Occupational Therapist Home Visit Technology Acceptance Model 
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. 1.
    Cumming, R.G., et al.: Adherence to Occupational Therapist Recommendations for Home Modifications for Falls Prevention. The American Journal of Occupational Therapy 55(6), 641–648 (2002)CrossRefGoogle Scholar
  2. 2.
    Atwal, A., et al.: Older adults and carers’ perceptions of pre-discharge occupational therapy home visits in acute care. Age and Ageing 37(1), 72–76 (2008)CrossRefGoogle Scholar
  3. 3.
    NHS. Occupational Therapy Home Visiting Policy (2010) [cited December 7, 2010], http://www.ekhuft.nhs.uk/home-page/search/?q=home+visit+policy
  4. 4.
    Nygard, N., Grahn, U., Rudenhammer, A.: Reflecting on practice: are home visits prior to discharge wothwhile? Scandanavian Journal of Caring Science 18, 183–203 (2000)Google Scholar
  5. 5.
    Mann, W.C., Gooshall, S., Justiss, M.D.: Dissatisfaction and nonuse of assistive devices among frail elders. Assistive Technology Journal 2, 130–139 (2002)CrossRefGoogle Scholar
  6. 6.
    Walker, E., Dewar, J.B.: Dewar, How do we facilitate carers’ involvement in decision making? Journal of Advanced Nursing 3, 329–337 (2001)CrossRefGoogle Scholar
  7. 7.
    Atwal, A., et al.: Occupational Therapists’ Perceptions of Predischarge Home Assessments with Older Adults in Acute Care. British Jour. of Occupational Therapy, 71(2), 52–58 (2008)CrossRefGoogle Scholar
  8. 8.
    SweetHome3D (October 10, 2010), http://www.sweethome3d.com/index.jsp
  9. 9.
    Wallach, H., Safir, M., Bar-Zvi, M.: Virtual Reality Cognitive Behavior Therapy for Public Speaking Anxiety. Behavior Modification 33(3), 314–338 (2009)CrossRefGoogle Scholar
  10. 10.
    Bruce, M., Regenbrecht, H.: A Virtual Reality Claustrophobia Therapy System – Implementation and Test. In: IEEE Virtual Reality Conf., Lafayette, LA, USA. IEEE Press, Los Alamitos (2009)Google Scholar
  11. 11.
    Fleming, M., et al.: Virtual Reality Skills Training for Health Care Professionals in Alcohol Screening and Brief Intervention. The Journal of the American Board of Family Medicine 22(4), 387–398 (2009)CrossRefGoogle Scholar
  12. 12.
    Broeren, J., et al.: Virtual reality and haptics as an assessment device in the post acute phase after stroke. CyberPsychology & Behavior 5(3), 207–2011 (2002)CrossRefGoogle Scholar
  13. 13.
    Brooks, B.M., et al.: Route learning in a case of amnesia: A preliminary investigation into the efficacy of training in a virtual environment. Neuropsychological Rehabilitation: An International Journal 9(1), 63–76 (1999)CrossRefGoogle Scholar
  14. 14.
    Lee, Y., Kozar, K.A., Larsen, K.R.T.: The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems 12, 752–780 (2003)Google Scholar
  15. 15.
    Holden, R.J., Karsh, B.: The technology acceptance model: its past and its future in health care. Journal of Biomedical Informatics 43(1), 159–172 (2009)CrossRefGoogle Scholar
  16. 16.
    Bagozzi, R.P.: The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association of Information Systems 8, 244–254 (2007)Google Scholar
  17. 17.
    Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3), 319–340 (1989)CrossRefGoogle Scholar
  18. 18.
    Yarborough, A.K., Smith, T.B.: Technology acceptance amongst physicians. Medical Care Research and Review 64, 650–672 (2007)CrossRefGoogle Scholar
  19. 19.
    Kowitlawakul, Y.: The Technology Acceptance Model: Predicting Nurses’ Intention to Use Telemedicine Technology (eICU). Computers, Informatics, Nursing (in press)Google Scholar
  20. 20.
    Yi, M., et al.: Understanding information technology acceptance by individual professionals: towards an integrative view. Info. & Management 43(3), 350–363 (2006)CrossRefGoogle Scholar
  21. 21.
    Van Schaik, P., Bettany-Saltikov, J.A., Warren, J.G.: Clinical acceptance of a low-cost portable system for postural assessment. Behaviour & Infor. Tech. 21(1), 47–57 (2002)CrossRefGoogle Scholar
  22. 22.
    Chang, H.: Application of the extended technology acceptance model to picture archiving and communication systems in dental hospitals. Journal of the Korean Society of Medical Informatics 15(3), 265–272 (2009)CrossRefGoogle Scholar
  23. 23.
    Lishana, X., et al.: The perception and intention to adopt female-focused healthcare applications (FHA): A comparison between healthcare workers and non-healthcare workers. International Journal of Medical Informatics 78(4), 248–258 (2009)CrossRefGoogle Scholar
  24. 24.
    Wu, P.F.: Opening the black boxes of TAM: towards a mixed methods approach. In: Thirteenth International Conference on Information Systems. Association of Information Systems, Phoenix (2009)Google Scholar
  25. 25.
    Rizzo, A., Kim, G.: A SWOT Analysis of the Field of Virtual Reality Rehabilitation and Therapy. Presence 14(2), 119–146 (2005)CrossRefGoogle Scholar
  26. 26.
    King, N.: Using templates in the thematic analysis of text. In: Cassell, C., Symon, G. (eds.) Essential Guide to Qualitative Methods in Organizational Research. Sage, London (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Arthur G. Money
    • 1
  • Anne McIntyre
    • 2
  • Anita Atwal
    • 2
  • Georgia Spiliotopoulou
    • 2
  • Tony Elliman
    • 2
  • Tim French
    • 1
  1. 1.University of BedfordshireBedfordshireUK
  2. 2.Brunel UniversityUxbridgeUK

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