Optimizing Telepractice Selection and Implementation for Persons with Aphasia

Authors

  • Elizabeth O. Tibus Center for Visual and Neurocognitive Rehabilitation, Atlanta VA Medical Center
  • Maryanne Weatherill Center for Visual and Neurocognitive Rehabilitation, Atlanta VA Medical Center
  • Amy D. Rodriguez Center for Visual and Neurocognitive Rehabilitation, Atlanta VA Medical Center; Department of Neurology, Emory University School of Medicine

DOI:

https://doi.org/10.5195/ijt.2024.6604

Keywords:

Aphasia, Aphasia-friendly, Healthcare, Telepractice, Telerehabilitation, Teleresearch

Abstract

Telepractice is used to conduct many aspects of healthcare, including rehabilitation and research. However, information regarding how to identify optimal candidates and overcome barriers to participating in telepractice are limited. In the context of aphasia rehabilitation research, we developed two tools for optimizing telepractice: (1) the Participant Technology Questionnaire (PTQ), an aphasia-friendly tool for gathering information about potential telepractice participants; and (2) the Virtual-Appropriate Decision Approach (VADA), a framework for assessing and modifying methods that support virtual activities. The PTQ provides valuable information about the effects of human, technology and setting influences that may impact the success of transitioning activities to a virtual format, while the VADA takes findings from the PTQ one step further into application. The PTQ and the VADA can help researchers and clinicians with planning and directing virtual engagement, and both tools have potential to be applied broadly in all areas of telepractice.

  

Author Biographies

Elizabeth O. Tibus, Center for Visual and Neurocognitive Rehabilitation, Atlanta VA Medical Center

Elizabeth O. Tibus is a research speech-language pathologist at the Center for Visual and Neurocognitive Rehabilitation at the Atlanta VA Medical Center in Decatur, Georgia. Her research interests include enhancing therapy outcomes using different aphasia treatments, investigating the use of Prism Adaptation Treatment in left brain stroke patients with aphasia and memory impairment, and improving brain health literacy in children and young adults.

Maryanne Weatherill, Center for Visual and Neurocognitive Rehabilitation, Atlanta VA Medical Center

Maryanne Weatherill is employed by the Atlanta VAMC Center for Visual and Neurocognitive Rehabilitation where she is a member of the Rodriguez Aphasia research team. She holds a PhD in Educational Psychology with an emphasis in Applied Cognition and Development. Her research interests include understanding the relationship between motivation and adherence to treatment recommendations for adults with cognitive-linguistic disorders, and the translation of research into clinical practice.

Amy D. Rodriguez, Center for Visual and Neurocognitive Rehabilitation, Atlanta VA Medical Center; Department of Neurology, Emory University School of Medicine

Dr. Amy Rodriguez is a speech-language pathologist and rehabilitation scientist. She currently works as a Research Health Scientist at the Atlanta VA Center for Visual and Neurocognitive Rehabilitation and as Director for Therapeutic Programs for Emory University’s Cognitive Empowerment Program. Her research is focused on improving treatment outcomes for people with language disorders after stroke and other brain disease.

References

ASHA -- American Speech-Language-Hearing Association (a). (n.d.). Aphasia. Aphasia (asha.org)

ASHA – American Speech-Language-Hearing Association (b). (n.d.). Considerations for Speech, Language, and Cognitive Assessment via Telepractice.

https://www.asha.org/slp/clinical/considerations-for-speech-language-and-cognitive-assessment-via-telepractice/

ASHA -- American Speech-Language-Hearing Association (c). (n.d.). Telepractice. https://www.asha.org/practice-portal/professional-issues/telepractice/

Bakken, S., Grullon-Figueroa, L., Izquierdo, R., Lee, N., Morin, P., Palmas, W., Teresi, J., Weinstock, R.S., Shea, S., Starren, J., for the IDEATel Consortium. (2006). Development, validation, and use of English and Spanish versions of the Telemedicine Satisfaction and Usefulness Questionnaire. Journal of the American Medical Informatics Association, 13(6), 660-667. http://doi.org/10.1197/jamia.M2146

Barg-Walkow, L. H., Mitzner, T. L, & Rogers, W. A. (2014). Technology Experience Profile (TEP): Assessment and Scoring Guide (HFA-TR-1402). Atlanta, GA: Georgia Institute of Technology, School of Psychology, Human Factors and Aging Laboratory.

Boot, W.R., Charness, N., Czaja, S.J., Sharit, J., Rogers, W.A., Fisk, A.D., Mitzner, T., Lee, C.C., & Nair, S. (2015). Computer Proficiency Questionnaire: Assessing low and high computer proficient seniors. Gerontologist, 55(3), 404-11. http://doi.org/10.1093/geront/gnt117

Choi, J., Choi, S., Song, K., Baek, J., Kim, H., Choi, M., Kim, Y., Chu, S.H., & Shin, J. (2023). Everyday Digital Literacy Questionnaire for older adults: Instrument development and validation study. Journal of Medical Internet Research, 25, e51616. http://doi.org/10.2196/51616

Cimperman, M., Brenčič, M. M., Trkman, P., de Leonni Stanonik, M. (2013). Older adults' perceptions of home telehealth services. Telemedicine and e-Health,19(10), 786–790. http://doi.org/10.1089/tmj.2012.0272

Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475–487. http://doi.org/10.1006/imms.1993.1022

Demiris, G., Speedie, S., & Finkelstein, S. (2000). A questionnaire for the assessment of patients’ impressions of the risks and benefits of home telecare. Journal of Telemedicine and Telecare, 6(5), 278–284. http://doi.org/10.1258/1357633001935914

Gonzalez, E. T., Mitzner, T. L., Sanford, J. A., & Rogers, W. A. (2016). TechSAge minimum battery: Overview of measures (TechSAge-TR-1601). Georgia Institute of Technology, Rehabilitation Engineering Research Center on Technologies to Support Successful Aging with Disability. https://techsage.gatech.edu/sites/default/files/2021-01/TechSAGE-TR-1601-Minimum%20Battery.pdf

Hajesmaeel-Gohari, S., & Bahaadinbeigy, K. (2021). The most used questionnaires for evaluating telemedicine services. BMC Medical Informatics and Decision Making, 21(1), 1-11. http://doi.org/10.1186/s12911-021-01407-y

Hajjar, I.; Hewitt, K.C.; Okafor, M.; Thomas, T.; Tyus, S.; Saleh, S.; Dee, E.; Goldstein, F.C. (2020). Emory Telehealth Technology Access and Skills Survey. Emory University, Atlanta, Georgia, USA. (Unpublished work).

Jezewski, E., Miller, A., Eusebio, M., & Potter, J. (2022). Targeted telehealth education increases interest in using telehealth among a diverse group of low-income older adults. International Journal of Environmental Research and Public Health, 19(20), 13349. http://doi.org/10.3390/ijerph192013349

Lam, K., Lu, A.D., Shi, Y., & Covinsky, K.E. (2020). Assessing telemedicine unreadiness among older adults in the United States during the COVID-19 pandemic. JAMA Internal Medicine, 180(10), 1389–1391. http://doi.org/10.1001/jamainternmed.2020.2671

Lathan, C.E., Kinsella, A., Rosen, M.J., Winters, J., & Trepagnier, C. (1999). Aspects of human factors engineering in home telemedicine and telerehabilitation systems. Telemedicine Journal, 5(2), 169-175. http://doi.org/10.1089/107830299312131

Lewis, J. R. (1995). IBM computer usability satisfaction questionnaires:

Psychometric evaluation and instructions for use. International Journal of Human-Computer Interaction, 7(1), 57–78. http://doi.org/10.1080/10447319509526110

Lin, F.R., Thorpe, R., Gordon-Salant, S., & Ferrucci, L. (2011). Hearing loss prevalence and risk factors among older adults in the United States. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 66(5), 582-90. http://doi.org/10.1093/gerona/glr002

Mormer E. & Stevans, J. (2019). Clinical Quality Improvement and Quality Improvement Research. Perspectives of the ASHA Special Interest Groups, 4(1),27-37. https://doi.org/10.1044/2018_PERS-ST-2018-0003

National Aphasia Association (n.d.). Aphasia Statistics. Aphasia Statistics - The National Aphasia Association

Nieman, C.L., & Oh, E.S. (2020). Connecting with older adults via telemedicine. Annals of Internal Medicine, 173(10), 831-833. http://doi.org/10.7326/M20-1322

Parmanto, B., Lewis, A.N. Jr., Graham, K.M., & Bertolet, M.H. (2016). Development of the Telehealth Usability Questionnaire (TUQ). International Journal of Telerehabilitation, 8(1), 3-10. http://doi.org/10.5195/ijt.2016.6196

Pearson Education Inc. (2020). Hello Examinee: Remote Administration Preparation for Examinees. telepractice-instructions-checklist.pdf (pearsonassessments.com)

Reed, J.E., & Card, A.J. (2016). The problem with Plan-Do-Study-Act cycles. BMJ Quality & Safety, 25(3), 147-152. http://doi.org/10.1136/bmjqs-2015-005076

Rose, T. A., Worrall, L. E., Hickson, L. M., & Hoffman, T. C. (2012). Guiding principles for printed education materials: Design preferences of people with aphasia. International Journal of Speech-Language Pathology, 14(1), 11-23. http://doi.org/10.3109/17549507.2011.631583

Rosen, L.D., Whaling, K., Carrier, L.M., Cheever, N.A., & Rokkum, J. (2013). The Media and Technology Usage and Attitudes Scale: An empirical investigation. Computers in Human Behavior, 29(6), 2501-2511. http://doi.org/10.1016/j.chb.2013.06.006

Scherrenberg, M., Falter, M., Kaihara, T., Xu, L., van Leunen, M., Kemps, H., Kindermans, H., & Dendale, P. (2023). Development and internal validation of the Digital Health Readiness Questionnaire: Prospective single-center survey study. Journal of Medical Internet Research, 25, e41615. http://doi.org/doi:10.2196/41615

Taylor, S., & Little, L. M. (2023). Telehealth Competency Questionnaire-Consumer: Psychometric validation of a client-centered measure. International Journal of Telerehabilitation, 15(2). http://doi.org/10.5195/ijt.2023.6598

Tsao, C.W., Aday, A.W., Almarzooq, Z.I., Alonso, A., Beaton, A.Z., Bittencourt, M.S., Boehme, A.K., Buxton, A.E., Carson, A.P., Commodore-Mensah, Y., Mitchell, S.V., Elkind, K.R., Evenson, C. E., Ferguson, J.F., Generoso, G., Ho, J.E., Kalani, R., Khan, S.S., Kissela, B.M., … Martin, S.S. (2022). American Heart Association heart disease and stroke statistics—2022 update: A report from the American Heart Association. Circulation, 145(8), e153-e639. http://doi.org/10.1161/CIR.0000000000001052

Vickers, K.L. (n.d.). Technology Efficacy and Attitudes Questionnaire. Emory University, Atlanta, Georgia, USA. (Unpublished work).

Yip, M.P., Chang, A.M., Chan, J., & MacKenzie, A.E. (2003). Development of the Telemedicine Satisfaction Questionnaire to evaluate patient satisfaction with telemedicine: A preliminary study. Journal of Telemedicine and Telecare, 9(1), 46-50. http://doi.org/10.1258/135763303321159693

Downloads

Published

2024-06-28

How to Cite

Elizabeth O. Tibus, Maryanne Weatherill, & Amy D. Rodriguez. (2024). Optimizing Telepractice Selection and Implementation for Persons with Aphasia. International Journal of Telerehabilitation, 16(1). https://doi.org/10.5195/ijt.2024.6604

Issue

Section

Clinical Research

Funding data