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Research Paper

What factors determine therapists’ acceptance of new technologies for rehabilitation – a study using the Unified Theory of Acceptance and Use of Technology (UTAUT)

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Pages 447-455 | Received 17 Oct 2013, Accepted 08 May 2014, Published online: 05 Jun 2014

References

  • Vishwanath A, Scamurra S. Barriers to the adoption of electronic health records: using concept mapping to develop a comprehensive empirical model. Health Informat J 2007;13:119–34
  • Isobel E. Abandonment of assistive technology. Michigan: Michigan's assistive technology resource; 2004
  • Beynon-Davies P. Human error and information systems failure: the case of the London ambulance service computer-aided despatch system project. Interact Comput 1999;11:699–720
  • Chen C, Bode R. Factors influencing therapists' decision-making in the acceptance of new technology devices in stroke rehabilitation. Am J Phys Med Rehabil 2011;90:415–25
  • Kwakkel G, Kollen B, Krebs H. Effect of robot assisted therapy on upper limb recovery after stroke: a systematic review. Neurorehabil Neural Repair 2008;22:111–21
  • Ring H, Rosenthal N. Controlled study of neuroprosthetic functional electrical stimulation in subacute post-stroke rehabilitation. J Rehabil Med 2005;37:32–6
  • Fishbein M, Ajzen I. Belief, attitude, intention and behavior: an introductionto theory and research. Massachusetts: Addison-Wesley; 1975
  • Ajzen I. The theory of planned behavior. Org Behav Human Decision Proces 1991;50:179–211
  • Davis F. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quart 1989;13:319–39
  • Taylor S, Todd P. Understanding information technology usage: a test of competing models. Inf Syst Res 1995;6:144–76
  • Moore G, Benbasat I. Development of an instrument of measure the perceptions of adopting an information technology innovation. Inf Syst Res 1991;2:192–222
  • Compeau D, Higgins C. Application of social cognitive theory to training for computer skills. Inf Syst Res 1995;6:118–43
  • Dünnebeil S, Sunyaev A, Blohm I, et al. Do German physicians want electronic health services? A characterization of potential adopters and rejecters in German ambulatory care. HEALTHINF 2010 – third International Conference on Health Informatics, Proceedings. Management Information Systems Research Center, Carlson School of Management, University of Minnesota, Minnesota; 2010
  • Venkatesh V, Morris M, Davis G, Davis F. User acceptance of information technology: toward a unified view. Mis Quart 2003;27:425–78
  • Li J, Talaei-Khoei A, Seale H, et al. Health care provider adoption of ehealth: systematic literature review. Interact J Med Res 2013;2:1–19
  • Duyck P, Pynoo B, Devolder P, et al. Monitoring the PACS implementation process in a large university hospital-discrepancies between radiologists and physicians. J Dig Imag 2010;23:73–80
  • Cranen K, Drossaert C, Brinkman E, et al. An exploration of chronic pain patients perceptions of home telerehabilitation services. Health Expect 2012;15:339–50
  • Chang I, Hsu H. Predicting medical staff intention to use an online reporting system with modified unified theory of acceptance and use of technology. Telemed J e-health: the official journal of the American Telemedicine Association 2012;18:67–73
  • Whitten P, Holtz B, Nguyen L. Keys to a successful and sustainable telemedicine program. Int J Technol Assess Health Care 2010;26:211–16
  • Schaper L, Pervan G. “ICT and OTs: a model of information and communication technology acceptance and utilisation by occupational therapists. Int J Med Inform 2007;76:212–21
  • Gulmans J, Vollenbroek-Hutten M, Gemert-Pijnen Lv, Van Harten W. Determinants of use and non-use of a web-based communication system in cerebral palsy care: evaluating the association between professionals’ system use and their a priori expectancies and background. BMC Med Informat Decision Making 2011;11:43
  • Chin W. The partial least squares approach to structural equation. In: Marcoulides GA, ed. Modern methods for business research. Mahwah (NJ): Taylor & Francis; 1998:295–336
  • Peng D, Lai F. Using partial least squares in operations management research: a practical guideline and summary of past research. J Operat Manage 2012;30:467–80
  • Biddis E, Chau T. Multivariate prediction of upper limb prosthesis acceptance or rejection. Disabil Rehabil: Assist Technol 2008;3:181–92
  • Cohen J, Cohen P, West S, Aiken LS. Applied multiple regression/correlation analysis for the behavioral sciences. 3rd ed. New York: Taylor and Francis Group; 2003
  • Ifinedo P. Technology acceptance by health professionals in Canada: an analysis with a modified UTAUT model. In: 45th Hawaii International Conference on System Sciences, Grand Wailea, 2012
  • Chin W, Marcolin B, Newsted P. A partial least squares latent variable modeling approach for measuring interactions effects: results from a Monte Carlo siulation study and an electronic-main emition/adotion study. Informat Syst Res 2003;14:190–217
  • Marsden P, Wright J. Handbook of survey research. Bingley (England): Emerald; 2010
  • Hair FJ, Hult MGT, Ringle MCh, Sarstedt M. A primer on partial least sqares structural equation modeling (PLS-SEM). Thousand Oaks (CA): SAGE; 2014
  • Tenenhaus M, Vinzi V, Chatelin Y, Lauro C. PLS path modeling. Comput Statist Data Anal 2005;48:159–205
  • Heselmans A, Aertgeerts B, Donceel P, et al. ‘Family physicians' perceptions and use of electronic clinical decision support during the first year of implementation. J Med Syst 2012;36:3677–84
  • Hanson C, West J, Neiger B, et al. Use and acceptance of social media among health educators. Am J Health Educ 2011;42:197–204
  • BenMessaoud C, Kharrazi H, MacDorman K. Facilitators and barriers to adopting robotic-assisted surgery: contextualizing the unified theory of acceptance and use of technology. PLoS One 2011;6:e16395
  • Heerink M, Kröse B, Evers V, Wielinga B. Assessing acceptance of assistive social agent technology by older adults: the almere model. Int J Soc Robot 2010;2:361–75
  • Duennebeil S, Sunyaev A, Blohm I, et al. Do German physicians want electronic health services? A characterization of potential adopters and rejectors in German ambulatory care. In: International Conference on Health Informatics (HealthInf), Valencia, 2010
  • Whitten P, Holtz B, Meyer E, Nazione S. Telehospice: reasons for slow adoption in home hospice care. J Telemed Telecare 2009;15:187–90
  • Kijsanayotin B, Pannarunothai S, Speedie S. Factors influencing health information technology adoption in Thailand's community health centers: applying the UTAUT model. Int J Med Inform 2009;78:404–16
  • Holtz B, Krein S. Understanding nurse perceptions of a newly implemented electronic medical record system. J Technol Human Serv 2011;29:247–62
  • Heselmans A, Aertgeerts B, Donceel P, et al. ‘Family physicians' perceptions and use of electronic clinical decision support during the first year of implementation. J Med Syst 2012;36:3677–84
  • Hanson C, West J, Neiger B, et al. Use and acceptance of social media among health educators. Am J Health Educ 2011;42:197–204
  • Holtz B, Krein S. Understanding nurse perceptions of a newly implemented electronic medical record system. J Technol Human Serv 2011;29:247–62
  • Lubrin E, Lawrence E, Zmijewska A, et al. Exploring the benefits of using motes to monitor health: an acceptance survey. In: Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies. Washington, DC: IEEE Computer Society; 2006
  • Thompson R, Higgins C, Howell J. Personal computing: toward a conceptual model of utilization. MIS Quart 1991;15:124–43
  • Yu C. Factors affecting individuals to adopt mobile banking: empirical evidence from the utaut model. J Electr Commerce Res 2012;13:105–21
  • Venkatesh V, David F. A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage Sci 2000;45:185–204
  • Warshaw P. A new model for predicting behavioral intentions: an alternative to fishbein. J Market Res 1980;17:153–72
  • Chau P, Hu P. Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories. Inform Manage 2002;39:297–311

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