Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-29T05:45:38.822Z Has data issue: false hasContentIssue false

Perceived Usability and Acceptability of Videoconferencing for Delivering Community-Based Rehabilitation to Individuals with Acquired Brain Injury: A Qualitative Investigation

Published online by Cambridge University Press:  27 January 2020

Tamara Ownsworth*
Affiliation:
School of Applied Psychology, Menzies Health Institute Queensland, Griffith University, Brisbane, QLD 4122, Australia
Deborah Theodoros
Affiliation:
RECOVER Injury Research Centre, The University of Queensland, Brisbane, QLD 4072, Australia
Louise Cahill
Affiliation:
RECOVER Injury Research Centre, The University of Queensland, Brisbane, QLD 4072, Australia
Atiyeh Vaezipour
Affiliation:
RECOVER Injury Research Centre, The University of Queensland, Brisbane, QLD 4072, Australia
Ray Quinn
Affiliation:
Acquired Brain Injury Outreach Service, The Hopkins Centre, Princess Alexandra Hospital, Brisbane, QLD 4102, Australia
Melissa Kendall
Affiliation:
School of Applied Psychology, Menzies Health Institute Queensland, Griffith University, Brisbane, QLD 4122, Australia Acquired Brain Injury Outreach Service, The Hopkins Centre, Princess Alexandra Hospital, Brisbane, QLD 4102, Australia
Wendy Moyle
Affiliation:
School of Nursing and Midwifery, Menzies Health Institute Queensland, Griffith University, Brisbane, QLD 4122, Australia
Karen Lucas
Affiliation:
Telehealth Centre, Metro South Health, Brisbane, QLD 4102, Australia
*
Correspondence and reprint requests to: Tamara Ownsworth, School of Applied Psychology, Griffith University, Mt Gravatt, Australia. E-mail: [email protected]

Abstract

Objectives:

There is limited research on the use of telerehabilitation platforms in service delivery for people with acquired brain injury (ABI), especially technologies that support delivery of services into the home. This qualitative study aimed to explore the perspectives of rehabilitation coordinators, individuals with ABI, and family caregivers on the usability and acceptability of videoconferencing (VC) in community-based rehabilitation. Participants’ experiences and perceptions of telerehabilitation and their impressions of a particular VC system were investigated.

Methods:

Guided by a theory on technology acceptance, semi-structured interviews were conducted with 30 participants from a community-based ABI service, including 13 multidisciplinary rehabilitation coordinators, 9 individuals with ABI, and 8 family caregivers. During the interview, they were shown a paper prototype of a telehealth portal for VC that was available for use. Interview transcripts were coded by two researchers and analysed thematically.

Results:

The VC was used on average for 2% of client consultations. Four major themes depicted factors influencing the uptake of VC platforms; namely, the context or impetus for use, perceived benefits, potential problems and parameters around use, and balancing the service and user needs. Participants identified beneficial uses of VC in service delivery and strategies for promoting a positive user experience.

Conclusions:

Perceptions of the usability of VC to provide services in the home were largely positive; however, consideration of use on a case-by-case basis and a trial implementation was recommended to enhance successful uptake into service delivery.

Type
Regular Research
Copyright
Copyright © INS. Published by Cambridge University Press, 2020. 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Australian Bureau of Statistics. (2018). Patient experiences in Australia: Summary of findings, 2017–2018. Cat no. 4839.0, ABS Canberra. Retrieved March 13, 2019 http://www.abs.gov.au/ausstats/[email protected]/mf/4839.0 Google Scholar
Australian Government: Geoscience Australia. (2018). Area of Australia – States and Territories. Retrieved January 17, 2018 http://www.ga.gov.au/scientific-topics/national-location-information/dimensions/area-of-australia-states-and-territories Google Scholar
Braun, V. & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3, 77101. doi: 10.1191/1478088706qp063oa CrossRefGoogle Scholar
Braun, V. & Clarke, V. (2013). Successful Qualitative Research: A Practical Guide for Beginners. London: Sage Publications.Google Scholar
Chen, J., Jin, W., Zhang, X-X., Xu, W., Liu, X-N., & Ren, C-C. (2015). Telerehabilitation approaches for stroke patients: Systematic review and meta-analysis of randomized controlled trials. Journal of Stroke and Cerebrovascular Disorders, 24, 26602668. doi: 10.1016/j.jstrokecerebrovasdis.2015.09.014 CrossRefGoogle Scholar
Creswell, J.W. (2009). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (3rd ed.). California: Sage Publications.Google Scholar
Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13, 319340. doi: 10.2307/249008 CrossRefGoogle Scholar
Hines, M., Brunner, M., Poon, S., Lam, M., Tran, V., Yu, D., Togher, L., Shaw, T., & Power, E. (2017). Tribes and tribulations: interdisciplinary eHealth in providing services for people with a traumatic brain injury (TBI). BMC Health Services Research, 17(1), 757. doi: 10.1186/s12913-017-2721-2 CrossRefGoogle 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, 159172. doi: 10.1016/j.jbi.2009.07.002 CrossRefGoogle Scholar
Kilov, A.M., Togher, L., Power, E., & Turkstra, L. (2010). Can teenagers with traumatic brain injury use Internet chatrooms A systematic review of the literature and the Internet. Brain Injury, 24, 11351172. doi: 10.3109/02699052.2010.490511 CrossRefGoogle Scholar
Lai, P.C. (2017). The literature review of technology adoption models and theories for the novelty technology. Journal of Information Systems and Technology Management, 14, 2138. doi: 10.4301/s1807-17752017000100002 CrossRefGoogle Scholar
Lloréns, R., Noé, E., Colomer, C., & Alcañiz, M. (2015). Effectiveness, usability, and cost-benefit of a virtual reality-based telerehabilitation program for balance recovery after stroke: A randomized controlled trial. Archives of Physical Medicine & Rehabilitation, 96, 418425. doi: 10.1016/j.apmr.2014.10.019 CrossRefGoogle Scholar
McGrath, N., Dowds, M.M. Jr., & Goldstein, R. (2008). Clinical supervision of a client with traumatic brain injury in a host home placement using video teleconferencing: A case study. Journal of Head Trauma Rehabilitation, 23, 388393.CrossRefGoogle Scholar
Nowell, L.S., Norris, J.M., White, D.E., & Moules, N.J. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16, 113. doi: 10.1177/1609406917733847 CrossRefGoogle Scholar
Ownsworth, T., Arnautovska, U., Beadle, E., Shum, D.H., & Moyle, W. (2018). Efficacy of telerehabilitation for adults with traumatic brain injury: A systematic review. The Journal of Head Trauma Rehabilitation, 33, E33E46. doi: 10.1097/HTR.0000000000000350 CrossRefGoogle Scholar
Radhakrishnan, K., Xie, B., & Jacelon, C.S. (2015). Unsustainable home telehealth: A Texas qualitative study. The Gerontologist, 56, 830840. doi: 10.1093/geront/gnv050 CrossRefGoogle Scholar
Ricker, J.H., Rosenthal, M., Garay, E., DeLuca, J., Germain, A., Abreaham-Fuchs, K., & Schmidt, K.U. (2002). Telerehabilitation needs: A survey of persons with acquired brain injury. Journal of Head Trauma Rehabilitation, 17, 242250.CrossRefGoogle Scholar
Rietdijk, R., Power, E., Brunner, M., & Togher, L. (2018). A single case experimental design study on improving social communication skills after traumatic brain injury using communication partner telehealth training. Brain Injury, 16, 111. doi: 10.1080/02699052.2018.1531313 Google Scholar
Rietdijk, R., Togher, L., & Power, E. (2012). Supporting family members of people with traumatic brain injury using telehealth: A systematic review. Journal of Rehabilitation Medicine, 44, 913921. doi: 10.2340/16501977-1058.CrossRefGoogle Scholar
Sander, A.M., Clark, A.N., Atchison, T.B., & Rueda, M. (2009). A web-based videoconferencing approach to training caregivers in rural areas to compensate for problems related to traumatic brain injury. Journal of Head Trauma Rehabilitation, 24, 248261. doi: 10.1097/HTR.0b013e3181ad593a CrossRefGoogle Scholar
Simpson, S.G. & Reid, C.L. (2014). Therapeutic alliance in videoconferencing psychotherapy: A review. Australian Journal of Rural Health, 22, 280299. doi: 10.1111/ajr.12149 CrossRefGoogle Scholar
Speyer, R., Denman, D., Wilkes-Gillan, S., Chen, Y.W., Bogaardt, H., Kim, J.H, Heckathorn, D.E., & Cordier, R. (2018). Effects of telehealth by allied health professionals and nurses in rural and remote areas: A systematic review and meta-analysis. Journal of Rehabilitation Medicine, 50, 225235. doi: 10.2340/16501977-2297 CrossRefGoogle Scholar
Sugarhood, P., Wherton, J., Procter, R., Hinder, S., & Greenhalgh, T. (2014). Technology as system innovation: A key informant interview study of the application of the diffusion of innovation model to telecare. Disability and Rehabilitation: Assistive Technology, 9, 7987. doi: 10.3109/17483107.2013.823573 Google Scholar
Tchero, H., Tabue-Teguo, M., Lannuzel, A., & Rusch, E. (2018). Telerehabilitation for stroke survivors: Systematic review and meta-analysis. Journal of Medical Internet Research, 20, e10867. doi: 10.2196/10867 CrossRefGoogle Scholar
Theodoros, D. Russell, T., & Latifi, R. (2008). Telerehabilitation: Current perspectives. Studies in Health Technology and Informatics, 131, 191210.Google Scholar
Tong, A., Sainsbury, P., & Craig, J. (2007). Consolidated criteria for reporting qualitative research (COREQ): A 32-item checklist for interviews and focus groups. International Journal for Quality in Health Care, 19, 349357. doi: /10.1093/intqhc/mzm042 CrossRefGoogle Scholar
Vaccaro, M., Hart, T., Whyte, J., & Buchhofer, R. (2007). Internet use and interest among individuals with traumatic brain injury: A consumer survey. Disability and Rehabilitation: Assistive Technology, 2, 8595. doi: 10.1080/17483100601167586 Google Scholar
Vaezipour, A., Whelan, B., Wall, K., & Theodoros, D. (Published ahead of print: January, 2019). Acceptance of rehabilitation technology in adults with moderate to severe traumatic brain injury, their caregivers, and healthcare professionals: A systematic review. Journal of Head Trauma Rehabilitation. doi: 10.1097/htr.0000000000000462 CrossRefGoogle Scholar
Wade, S.L., Carey, J., & Wolfe, C.R. (2006). An online family intervention to reduce parental distress following pediatric brain injury. Journal of Consulting and Clinical Psychology, 74, 445454. doi: 10.1037/0022-006X.74.3.445 CrossRefGoogle Scholar
Wade, S.L., Walz, N.C., Carey, J., Williams, K.M., Cass, J., Herren, L., Mark, E., & Yeates, K.O. (2010). A randomized trial of teen online problem solving for improving executive function deficits following pediatric traumatic brain injury. Journal of Head Trauma Rehabilitation, 25, 409415. doi: 10.1097/HTR.0b013e3181fb900d CrossRefGoogle Scholar
Weyer, J., Fink, R.D., & Adelt, F. (2015). Human–machine cooperation in smart cars. An empirical investigation of the loss-of-control thesis. Safety Science, 72, 199208.CrossRefGoogle Scholar
World Health Organization. (2016). WHO Global Disability Action Plan 2014–2021. Geneva, Switzerland: World Health Organization.Google Scholar
Supplementary material: File

Ownsworth et al. supplementary material

Appendix

Download Ownsworth et al. supplementary material(File)
File 14.2 KB