Published on in Vol 16, No 12 (2014): December

This is a member publication of Brunel University (Library), Uxbridge, UK

Occupational Therapists’ Views on Using a Virtual Reality Interior Design Application Within the Pre-Discharge Home Visit Process

Occupational Therapists’ Views on Using a Virtual Reality Interior Design Application Within the Pre-Discharge Home Visit Process

Occupational Therapists’ Views on Using a Virtual Reality Interior Design Application Within the Pre-Discharge Home Visit Process

Authors of this article:

Anita Atwal1 Author Orcid Image ;   Arthur Money2 Author Orcid Image ;   Michele Harvey1 Author Orcid Image

Journals

  1. Sia I, Halan S, Lok B, Crary M. Virtual Patient Simulation Training in Graduate Dysphagia Management Education—A Research-Led Enhancement Targeting Development of Clinical Interviewing and Clinical Reasoning Skills. Perspectives of the ASHA Special Interest Groups 2016;1(13):130 View
  2. Money A, Atwal A, Boyce E, Gaber S, Windeatt S, Alexandrou K. Falls Sensei: a serious 3D exploration game to enable the detection of extrinsic home fall hazards for older adults. BMC Medical Informatics and Decision Making 2019;19(1) View
  3. McGrath C, Ellis M, Harney-Levine S, Wright D, Williams E, Hwang F, Astell A. Investigating the enabling factors influencing occupational therapists’ adoption of assisted living technology. British Journal of Occupational Therapy 2017;80(11):668 View
  4. Eikey E, Reddy M, Kuziemsky C. Examining the role of collaboration in studies of health information technologies in biomedical informatics: A systematic review of 25 years of research. Journal of Biomedical Informatics 2015;57:263 View
  5. Xie W, Ren Z, Xu Z, Wang H. The consensus of probabilistic uncertain linguistic preference relations and the application on the virtual reality industry. Knowledge-Based Systems 2018;162:14 View
  6. Hamm J, Money A, Atwal A. Enabling older adults to carry out paperless falls-risk self-assessments using guidetomeasure-3D: A mixed methods study. Journal of Biomedical Informatics 2019;92:103135 View
  7. Miller K, Lin S, Neville M. From Hospital to Home to Participation: A Position Paper on Transition Planning Poststroke. Archives of Physical Medicine and Rehabilitation 2019;100(6):1162 View
  8. White B, Martin A, White J, Burns S, Maycock B, Giglia R, Scott J. Theory-Based Design and Development of a Socially Connected, Gamified Mobile App for Men About Breastfeeding (Milk Man). JMIR mHealth and uHealth 2016;4(2):e81 View
  9. Hamm J, Money A, Atwal A, Ghinea G. Mobile three-dimensional visualisation technologies for clinician-led fall prevention assessments. Health Informatics Journal 2019;25(3):788 View
  10. Money A, Atwal A, Young K, Day Y, Wilson L, Money K. Using the Technology Acceptance Model to explore community dwelling older adults’ perceptions of a 3D interior design application to facilitate pre-discharge home adaptations. BMC Medical Informatics and Decision Making 2015;15(1) View
  11. Kuljis J, Money A, Perry M, Barnett J, Young T. Technology‐assisted self‐testing and management of oral anticoagulation therapy: a qualitative patient‐focused study. Scandinavian Journal of Caring Sciences 2017;31(3):603 View
  12. Ohno K, Tomori K, Takebayashi T, Sawada T, Nagayama H, Levack W, Domen K, Higashi T. Development of a tool to facilitate real life activity retraining in hand and arm therapy. British Journal of Occupational Therapy 2017;80(5):310 View
  13. Hamm J, Money A, Atwal A. Guidetomeasure-OT: A mobile 3D application to improve the accuracy, consistency, and efficiency of clinician-led home-based falls-risk assessments. International Journal of Medical Informatics 2019;129:349 View
  14. Noghabaei M, Heydarian A, Balali V, Han K. Trend Analysis on Adoption of Virtual and Augmented Reality in the Architecture, Engineering, and Construction Industry. Data 2020;5(1):26 View
  15. Alber J, Bernhardt J, Stellefson M, Weiler R, Anderson-Lewis C, Miller M, MacInnes J. Designing and Testing an Inventory for Measuring Social Media Competency of Certified Health Education Specialists. Journal of Medical Internet Research 2015;17(9):e221 View
  16. Hamm J, Money A, Atwal A, Paraskevopoulos I. Fall prevention intervention technologies: A conceptual framework and survey of the state of the art. Journal of Biomedical Informatics 2016;59:319 View
  17. Threapleton K, Newberry K, Sutton G, Worthington E, Drummond A. Virtually home: Feasibility study and pilot randomised controlled trial of a virtual reality intervention to support patient discharge after stroke. British Journal of Occupational Therapy 2018;81(4):196 View
  18. Ninnis K, Van Den Berg M, Lannin N, George S, Laver K. Information and communication technology use within occupational therapy home assessments: A scoping review. British Journal of Occupational Therapy 2019;82(3):141 View
  19. Mihandoust S, Joshi R, Joseph A, Madathil K, Dye C, Machry H, Wilson J. Identifying Key Components of Paper-Based and Technology-Based Home Assessment Tools Using a Narrative Literature Review. Journal of Aging and Environment 2021;35(4):406 View
  20. Guay M, Labbé M, Séguin-Tremblay N, Auger C, Goyer G, Veloza E, Chevalier N, Polgar J, Michaud F. Adapting a Person’s Home in 3D Using a Mobile App (MapIt): Participatory Design Framework Investigating the App’s Acceptability. JMIR Rehabilitation and Assistive Technologies 2021;8(2):e24669 View
  21. Sepasgozar S, Ghobadi M, Shirowzhan S, Edwards D, Delzendeh E. Metrics development and modelling the mixed reality and digital twin adoption in the context of Industry 4.0. Engineering, Construction and Architectural Management 2021;28(5):1355 View
  22. Kirchner-Heklau U, Krause K, Saal S. Effects, barriers and facilitators in predischarge home assessments to improve the transition of care from the inpatient care to home in adult patients: an integrative review. BMC Health Services Research 2021;21(1) View
  23. Joshi R, Joseph A, Mihandoust S, Madathil K, Cotten S. A mobile application-based home assessment tool for patients undergoing joint replacement surgery: A qualitative feasibility study. Applied Ergonomics 2022;103:103796 View
  24. Leung K, Brandis S. The smart-home study: A feasibility study to pilot the use of smartphone technology to identify environmental falls risk factors in the home. Hong Kong Journal of Occupational Therapy 2023;36(1):3 View
  25. Chung O, Dowling N, Brown C, Robinson T, Johnson A, Ng C, Yücel M, Segrave R. Using the Theoretical Domains Framework to Inform the Implementation of Therapeutic Virtual Reality into Mental Healthcare. Administration and Policy in Mental Health and Mental Health Services Research 2023;50(2):237 View
  26. Hwang N, Shim S. Use of Virtual Reality Technology to Support the Home Modification Process: A Scoping Review. International Journal of Environmental Research and Public Health 2021;18(21):11096 View
  27. Jeffery S, Monkhouse J, Bertini L, Walker S, Sharp R. Discharge to Assess: an evaluation of three case studies in the southeast of England to inform service improvement. BMJ Open Quality 2023;12(4):e002515 View
  28. Amin V, Kumar A. In-store Customer perception and buying behavior towards home furniture- Development of Conceptual Model. International Journal of Management, Technology, and Social Sciences 2023:402 View
  29. Seddighi N, Chen Y, Merryweather A, Foreman K, Kuntz A, Battaglia E, Zhang H, Taylor E, Wong B, Fino P. The Impact of Design Factors on User Behavior in a Virtual Hospital Room to Explore Fall Prevention Strategies. HERD: Health Environments Research & Design Journal 2024;17(3):124 View
  30. Guay M, Auger C, Séguin‐Tremblay N, Michaud F, Labbé M, Chevalier N, Plante M, Polgar J. Utility of 3D modelling of the patient's living environment as perceived by occupational therapists. Australian Occupational Therapy Journal 2024;71(6):925 View
  31. Kang J, Lee M, Kreider C, LeBeau K, Findley K, Myers K, Romero S. Beyond videoconferencing: enhancing remote home assessments with 3D modeling technology. Disability and Rehabilitation: Assistive Technology 2024:1 View