ICT usage in aphasia rehabilitation – beliefs, biases, and influencing factors from the perspectives of speech and language therapists

References

• Benedon, T. A. (2018 ()). Speech-Language Pathologists’ Practices and Attitudes Toward App Use in Therapy [ Master’s Degree Theses and Dissertations]
   Google Scholar
• Bowen, G. A. (2008). Naturalistic inquiry and the saturation concept: A research note. Qualitative Research, 8(1), 137–152. https://doi.org/10.1177/1468794107085301
   Web of Science ®Google Scholar
• Brady, M. C., Kelly, H., Godwin, J., Enderby, P., & Campbell, P. (2016). Speech and language therapy for aphasia following stroke. Cochrane Database of Systematic Reviews, (6 CD000425 doi:10.1002/14651858.CD000425.pub4).
   PubMed Web of Science ®Google Scholar
• Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
   Google Scholar
• Burke, J., Palmer, R., & Harrison, M. (2021). What are the factors that may influence the implementation of self-managed computer therapy for people with long term aphasia following stroke? A qualitative study of speech and language therapists’ experiences in the Big CACTUS trial. Disability and Rehabilitation, 1–13. https://doi.org/10.1080/09638288.2020.1871519
   Web of Science ®Google Scholar
• Chen, C. C., & Bode, R. K. (2011). Factors influencing therapists’ decision-making in the acceptance of new technology devices in stroke rehabilitation. American Journal of Physical Medicine & Rehabilitation, 90(5), 415–425. https://doi.org/10.1097/PHM.0b013e318214f5d8
   PubMed Web of Science ®Google Scholar
• Cranen, K., Drossaert, C. H. C., Brinkman, E. S., Braakman-Jansen, A. L. M., Ijzerman, M. J., & Vollenbroek-Hutten, M. M. R. (2012). An exploration of chronic pain patients’ perceptions of home telerehabilitation services. Health Expectations, 15(4), 339–350. https://doi.org/10.1111/j.1369-7625.2011.00668.x
   PubMed Web of Science ®Google Scholar
• CSO. (2018). Information society statistics - households. Retrieved February 13, 2019, from https://www.cso.ie/en/releasesandpublications/er/isshh/informationsocietystatistics-households2018/
   Google Scholar
• Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Massachusetts Institute of Technology.
   Google Scholar
• Davis, L., & Copeland, K. (2006). Computer use in the management of aphasia: A survey of practice patterns and opinions. Contemporary Issues in Communication Science & Disorders, 33(Fall), 138–146. https://doi.org/10.1044/cicsd_33_F_138
   Google Scholar
• de Joode, E. A., van Boxtel, M. P., Verhey, F. R., & van Heugten, C. M. (2012). Use of assistive technology in cognitive rehabilitation: Exploratory studies of the opinions and expectations of healthcare professionals and potential users. Brain Injury, 26(10), 1257–1266. https://doi.org/10.3109/02699052.2012.667590
   PubMed Web of Science ®Google Scholar
• Dunkley, C., Pattie, L., Wilson, L., & McAllister, L. (2010). A comparison of rural speech-language pathologists’ and residents’ access to and attitudes towards the use of technology for speech-language pathology service delivery. International Journal of Speech-Language Pathology, 12(4), 333–343. https://doi.org/10.3109/17549500903456607
   PubMed Web of Science ®Google Scholar
• Gagnon, M.-P., Ngangue, P., Payne-Gagnon, J., & Desmartis, M. (2015). m-Health adoption by healthcare professionals: A systematic review. Journal of the American Medical Informatics Association, 23(1), 212–220. https://doi.org/10.1093/jamia/ocv052
   PubMed Web of Science ®Google Scholar
• Green, J. (2013). The use of focus groups in research into health. In M. Saks & J. Allsop (Eds.), Researching health: Qualitative, quantitative and mixed methods (pp. 129–147). Sage Publications Ltd.
   Google Scholar
• Gunning, D., Wenke, R., Ward, E. C., Chalk, S., Lawrie, M., Romano, M., Edwards, A., Hobson, T., & Cardell, E. (2017). Clinicians’ perceptions of delivering new models of high intensity aphasia treatment. Aphasiology, 31(4), 406–426. https://doi.org/10.1080/02687038.2016.1236359
   Web of Science ®Google Scholar
• Hill, A. J., & Breslin, H. M. (2016). Refining an asynchronous telerehabilitation platform for speech-language pathology: Engaging end-users in the process. [ Original Research] Frontiers in Human Neuroscience, 10(640), 640. https://doi.org/10.3389/fnhum.2016.00640
   PubMed Web of Science ®Google Scholar
• Holden, R. J., & Karsh, B.-T. (2010). The technology acceptance model: Its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159–172. https://doi.org/10.1016/j.jbi.2009.07.002
   PubMed Web of Science ®Google Scholar
• Ifinedo, P. (2012). Technology acceptance by health professionals in Canada: An analysis with a modified UTAUT model. System Science (HICSS), 2012 45th Hawaii International Conference on Maui, HI, USA (IEEE).
   Google Scholar
• Kearns, A., Kelly, H., & Pitt, I. (2021). Self-reported feedback in ICT-delivered aphasia rehabilitation: A literature review. Disability and Rehabilitation, 43(9), 1193–1207. https://doi.org/10.1080/09638288.2019.1655803
   PubMed Web of Science ®Google Scholar
• Kelly, H., Kennedy, F., Britton, H., McGuire, G., & Law, J. (2016). Narrowing the “digital divide”—facilitating access to computer technology to enhance the lives of those with aphasia: A feasibility study. Aphasiology, 30(2–3), 133–163 doi:10.1080/02687038.2015.1077926 .
   Web of Science ®Google Scholar
• Kelly, H., Masterson, L., O’Riordan, E., & Scott, P. (in print). Embracing technology with aphasia Aphasia in clinical practice. J&R Press Limited.
   Google Scholar
• Kong, A. P.-H. (2021). The impact of COVID-19 on speakers with aphasia: What is currently known and missing? Journal of Speech, Language, and Hearing Research, 64(1), 176–180. https://doi.org/10.1044/2020_JSLHR-20-00371
   PubMed Web of Science ®Google Scholar
• Liu, L., Miguel Cruz, A., Rios Rincon, A., Buttar, V., Ranson, Q., & Goertzen, D. (2015). What factors determine therapists’ acceptance of new technologies for rehabilitation - a study using the unified theory of acceptance and use of technology (UTAUT). Disability and Rehabilitation, 37(5), 447–455. https://doi.org/10.3109/09638288.2014.923529
   PubMed Web of Science ®Google Scholar
• Manning, M., Cuskelly, C., Russ, E., & Franklin, S. (2020). Supporting people with post‐stroke aphasia to live well: A cross‐sectional survey of speech & language therapists in Ireland. Health & Social Care in the Community, 28(6), 2105–2116. https://doi.org/10.1111/hsc.13021
   PubMed Web of Science ®Google Scholar
• Marshall, J., Booth, T., Devane, N., Galliers, J., Greenwood, H., Hilari, K., … Woolf, C. (2016). Evaluating the benefits of aphasia intervention delivered in virtual reality: Results of a quasi-randomised study. PLoS ONE, 11(8), e0160381. https://doi.org/10.1371/journal.pone.0160381
   PubMed Web of Science ®Google Scholar
• Marshall, M. N. (1996). Sampling for qualitative research. Family Practice, 13(6), 522–526. https://doi.org/10.1093/fampra/13.6.522
   PubMed Web of Science ®Google Scholar
• McGrath, C., Ellis, M., Harney-Levine, S., Wright, D., Williams, E. A., Hwang, F., & Astell, A. (2017). Investigating the enabling factors influencing occupational therapists’ adoption of assisted living technology. British Journal of Occupational Therapy, 80(11), 668–675. https://doi.org/10.1177/0308022617711669
   Web of Science ®Google Scholar
• Menger, F., Morris, J., & Salis, C. (2020). The impact of aphasia on Internet and technology use. Disability and Rehabilitation 42 21 , 2986–2996 doi:10.1080/09638288.2019.1580320 https://doi.org/10.1080/09638288.2019.1580320.
   PubMed Web of Science ®Google Scholar
• National Office of Clinical Audit. (2020). Irish national audit of stroke national report 2019. https://www.noca.ie/documents/irish-national-audit-of-stroke-2019
   Google Scholar
• Nichol, L., Hill, A. J., Wallace, S. J., Pitt, R., Baker, C., & Rodriguez, A. D. (2019). Self-management of aphasia: A scoping review. Aphasiology, 33(8), 903–942. https://doi.org/10.1080/02687038.2019.1575065
   Web of Science ®Google Scholar
• O’Reilly, M., & Parker, N. (2013). ‘Unsatisfactory Saturation’: A critical exploration of the notion of saturated sample sizes in qualitative research. Qualitative Research, 13(2), 190–197. https://doi.org/10.1177/1468794112446106
   Web of Science ®Google Scholar
• Palmer, R., Enderby, P., Cooper, C., Latimer, N., Julious, S., Paterson, G., Dimairo, M., Dixon, S., Mortley, J., Hilton, R., Delaney, A., & Hughes, H. (2012). Computer therapy compared with usual care for people with long-standing aphasia poststroke: A pilot randomized controlled trial. Stroke, 43(7), 1904–1911. https://doi.org/10.1161/STROKEAHA.112.650671
   PubMed Web of Science ®Google Scholar
• Palmer, R., Witts, H., Chater, T., & Starrfelt, R. (2018). What speech and language therapy do community dwelling stroke survivors with aphasia receive in the UK? PLoS ONE, 13(7), e0200096. https://doi.org/10.1371/journal.pone.0200096
   PubMed Web of Science ®Google Scholar
• Peek, S. T., Wouters, E. J., Van Hoof, J., Luijkx, K. G., Boeije, H. R., & Vrijhoef, H. J. (2014). Factors influencing acceptance of technology for aging in place: A systematic review. International Journal of Medical Informatics, 83(4), 235–248. https://doi.org/10.1016/j.ijmedinf.2014.01.004
   PubMed Web of Science ®Google Scholar
• Schröder, C., Schupp, W., Seewald, B., & Haase, I. (2007). Computer-aided therapy in aphasia therapy: Evaluation of assignment criteria. International Journal of Rehabilitation Research, 30(4), 289–295. https://doi.org/10.1097/MRR.0b013e3282f144da
   PubMed Web of Science ®Google Scholar
• Swales, M. A., Hill, A. J., & Finch, E. (2016). Feature rich, but user-friendly: Speech pathologists’ preferences for computer-based aphasia therapy. International Journal of Speech-Language Pathology, 18(4), 315–328. https://doi.org/10.3109/17549507.2015.1081283
   PubMed Web of Science ®Google Scholar
• Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
   Web of Science ®Google Scholar
• Venkatesh, V., Thong, J. Y., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328–376. https://doi.org/10.17705/1jais.00428
   Web of Science ®Google Scholar
• Zheng, C., Lynch, L., & Taylor, N. (2016). Effect of computer therapy in aphasia: A systematic review. Aphasiology, 30(2–3), 211–244 doi:10.1080/02687038.2014.996521 https://doi.org/10.1080/02687038.2014.996521.
   Web of Science ®Google Scholar