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Telehealth Delivery of Memory Rehabilitation Following Stroke

Published online by Cambridge University Press:  27 January 2020

David W. Lawson
Affiliation:
Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Australia Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia School of Psychology and Public Health, La Trobe University, Melbourne, Australia
Renerus J. Stolwyk
Affiliation:
Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Australia Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia
Jennie L. Ponsford
Affiliation:
Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Australia Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia
Dean P. McKenzie
Affiliation:
Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
Marina G. Downing
Affiliation:
Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia
Dana Wong*
Affiliation:
Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Australia Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia School of Psychology and Public Health, La Trobe University, Melbourne, Australia
*
*Correspondence and reprint requests to: Dana Wong, School of Psychology & Public Health, La Trobe University, Bundoora, VIC 3086, Australia. E-mail: d.wong@latrobe.edu.au

Abstract

Objective:

Rehabilitation of memory after stroke remains an unmet need. Telehealth delivery may overcome barriers to accessing rehabilitation services.

Method:

We conducted a non-randomized intervention trial to investigate feasibility and effectiveness of individual telehealth (internet videoconferencing) and face-to-face delivery methods for a six-week compensatory memory rehabilitation program. Supplementary analyses investigated non-inferiority to an existing group-based intervention, and the role of booster sessions in maintaining functional gains. The primary outcome measure was functional attainment of participants’ goals. Secondary measures included subjective reports of lapses in everyday memory and prospective memory, reported use of internal and external memory strategies, and objective measures of memory functioning.

Results:

Forty-six stroke survivors were allocated to telehealth and face-to-face intervention delivery conditions. Feasibility of delivery methods was supported, and participants in both conditions demonstrated treatment-related improvements in goal attainment, and key subjective outcomes of everyday memory, and prospective memory. Gains on these measures were maintained at six-week follow-up. Short-term gains in use of internal strategies were also seen. Non-inferiority to group-based delivery was established only on the primary measure for the telehealth delivery condition. Booster sessions were associated with greater maintenance of gains on subjective measures of everyday memory and prospective memory.

Conclusions:

This exploratory study supports the feasibility and potential effectiveness of telehealth options for remote delivery of compensatory memory skills training after a stroke. These results are also encouraging of a role for booster sessions in prolonging functional gains over time.

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

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References

Aben, L., Heijenbrok-Kal, M.H., van Loon, E.M.P., Groet, E., Ponds, R.W.H.M., Busschbach, J.J.V., & Ribbers, G.M. (2013). Training memory self-efficacy in the chronic stage after stroke: A randomized controlled trial. Neurorehabilitation and Neural Repair, 27(2), 110117. doi: 10.1177/1545968312455222 CrossRefGoogle Scholar
Allott, K. & Lloyd, S. (2009). The provision of neuropsychological services in rural/regional settings: Professional and ethical issues. Applied Neuropsychology, 16(3), 193206. doi: 10.1080/09084280903098760 CrossRefGoogle Scholar
Armfield, N.R., Gray, L.C., & Smith, A.C. (2012). Clinical use of Skype: A review of the evidence base. Journal of Telemedicine and Telecare, 18(3), 125127. doi: 10.1258/jtt.2012.SFT101 CrossRefGoogle Scholar
Armfield, N.R., Bradford, M., & Bradford, N.K. (2015). The clinical use of Skype – For which patients, with which problems and in which settings? A snapshot review of the literature. International Journal of Medical Informatics, 84(10), 737742. doi: 10.1016/j.ijmedinf.2015.06.006 CrossRefGoogle Scholar
Bergquist, T.F., Thompson, K., Gehl, C., & Pineda, J.M. (2010). Satisfaction ratings after receiving internet-based cognitive rehabilitation in persons with memory impairments after severe acquired brain injury. Telemedicine and e-Health, 16(4), 417423. doi: 10.1089/tmj.2009.0118 CrossRefGoogle Scholar
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), 404411. doi: 10.1093/geront /gnt117 CrossRefGoogle Scholar
Brearly, T.W., Shura, R.D., Martindale, S.L., Lazowski, R.A., Luxton, D.D., Shenal, B.V., & Rowland, J.A. (2017). Neuropsychological test administration by videoconference: A systematic review and meta-analysis. Neuropsychology Review, 27, 174186. doi: 10.1007/s11065-017-9349-1 CrossRefGoogle Scholar
Brown, T., Mapleston, J., Nairn, A., & Molloy, A. (2013). Relationship of cognitive and perceptual abilities to functional independence in adults who have had a stroke. Occupational Therapy International, 20(1), 1122. doi: 10.1002/oti.1334 CrossRefGoogle Scholar
Carson, N., Leach, L., & Murphy, K.J. (2017). A re-examination of Montreal Cognitive Assessment (MoCA) cutoff scores. International Journal of Geriatric Psychiatry, 33, 379388. doi: 10.1002/gps.4756 CrossRefGoogle Scholar
Chen, S.-Z., Jiang, Q., Liu, P., Huang, D.-F., & Ding, J.-X. (2006). Effect of the cognitive rehabilitation on the functional independence of hemiplegic patients with stroke. Chinese Journal of Clinical Rehabilitation, 10(18), 1416.Google Scholar
Cohen, J. (1988). Statistical power analysis for the behavioral sciences, 2nd ed. Hillsdale, NJ: Lawremce Erlbaum Associates.Google Scholar
das Nair, R., Cogger, H., Worthington, E., & Lincoln, N.B. (2016). Cognitive rehabilitation for memory deficits after stroke. Cochrane Database of Systematic Reviews, 2016(9), CD002293. doi: 10.1002/14651858.CD002293.pub3 Google Scholar
das Nair, R., Cogger, H., Worthington, E., & Lincoln, N.B. (2017). Cognitive rehabilitation for memory deficits after stroke: An updated review. Stroke, 48, e28e29. doi: 10.1161/STROKEAHA.116.015377.CrossRefGoogle Scholar
das Nair, R. & Lincoln, N.B. (2007). Cognitive rehabilitation for memory deficits following stroke. Cochrane Database of Systematic Reviews, (3), CD002293. doi: 10.1002/14651858.CD002293.pub2 CrossRefGoogle Scholar
Doornhein, K. & de Haan, E.H. (1998). Cognitive training for memory deficits in stroke patients. Neuropsychological Rehabilitation, 8(4), 393400. doi: 10.1080/713755579 CrossRefGoogle Scholar
Egbewale, B.E., Lewis, M., & Sim, J. (2014). Bias, precision and statistical power of analysis of covariance in the analysis of randomized trials with baseline imbalance: A simulation study. BMC Medical Research Methodology, 14(1), 112. doi: 10.1186/1471-2288-14-49 CrossRefGoogle Scholar
Elliott, M. & Parente, F. (2014). Efficacy of memory rehabilitation therapy: A meta-analysis of TBI and stroke cognitive rehabilitation literature. Brain Injury, 28(12), 16101616. doi: 10.3109/02699052.2014.934921 CrossRefGoogle Scholar
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175191. doi: 10.3758/BF03193146 CrossRefGoogle Scholar
Fleming, J., Kennedy, S., Fisher, R., Gill, H., Gullo, M., & Shum, D. (2012). Validity of the Comprehensive Assessment of Prospective Memory (CAPM) for use with adults with traumatic brain injury. Brain Impairment, 10(1), 3444. doi: 10.1375/brim.10.1.34 CrossRefGoogle Scholar
Hill, A. & Theodoros, D. (2002). Research into telehealth applications in speech-language pathology. Journal of Telemedicine and Telecare, 8, 187196. doi: 10.1258/135763302320272158 CrossRefGoogle Scholar
House, G., Burdea, G., Grampurohit, N., Polistico, K., Roll, D., Damiani, F., Keeler, S., Hundal, J., & Pollack, S. (2016). Longitudinal study of integrative virtual rehabilitation use in skilled nursing facility maintenance programs for residents with chronic stroke. Paper presented at the International Conference on Virtual Rehabilitation, Los Angeles, California.Google Scholar
Howell, D.C. (2012). Statistical methods for psychology, 8th ed. Belmont, CA: Cengage.Google Scholar
IBM Corp. (2017). IBM SPSS Statistics for Windows, Version 25. Armonk, NY: IBM Corp.Google Scholar
Jager, K.J., Zoccali, C., MacLeod, A., & Dekker, F.W. (2008). Confounding: What it is and how to deal with it. Kidney International, 73(3), 256260. doi: 10.1038/sj.ki.5002650 CrossRefGoogle Scholar
Jia, H., Cowper, D.C., Tang, Y., Litt, E., & Wilson, L. (2012). Postacute stroke rehabilitation utilization: Are there differences between rural-urban patients and taxonomies? Journal of Rural Health, 28(3), 242247. doi: 10.1111/j.1748-0361.2011.00397.x CrossRefGoogle Scholar
Joubert, J., Prentice, L.F., Moulin, T., Liaw, S.-T., Joubert, L.B., Preux, P.M., Ware, D. Medeiros de Bustos, E., & McLean, A. (2008). Stroke in rural areas and small communities. Stroke, 39(6), 19201928. doi: 10.1161/STROKEAHA.107.501643 CrossRefGoogle Scholar
Lamb, F., Anderson, J., Saling, M., & Dewey, H. (2013). Predictors of subjective cognitive complaint in postacute older adult stroke patients. Archives of Physical Medicine and Rehabilitation, 94(9), 1771752. doi: 10.1016/j.apmr.2013.02.026.CrossRefGoogle Scholar
Lockwood, C. (2017). Cognitive rehabilitation for memory deficits after stroke: A Cochrane review summary. International Journal of Nursing Studies, 76, 131132.CrossRefGoogle Scholar
Miller, L.A. & Radford, K. (2014). Testing the effectiveness of group-based memory rehabilitation in chronic stroke patients. Neuropsychological Rehabilitation, 24(5), 721737. doi: 10.1080/09602011.2014.894479 CrossRefGoogle Scholar
Nasreddine, Z.S., Phillips, N.A., Bedirian, V., Charbonneau, S., Whitehead, V., Collin, I., Cummings, J.L., & Chertkow, H. (2005). The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53(4), 695699.CrossRefGoogle Scholar
Nouri, F.M. & Lincoln, N.B. (1987). An extended activities of daily living scale for stroke patients. Clinical Rehabilitation, 1(4), 301305. doi: 10.1177/026921558700100409 CrossRefGoogle Scholar
Optale, G., Urgesi, C., Busato, V., Marin, S., Piron, L., Priftis, K., Gamberini, L. Capodieci, S., & Bordin, A. (2010). Controlling memory impairment in elderly adults: A randomised controlled pilot study. Neurorehabilitation and Neural Repair, 24(4), 348357. doi: 10.1177/1545968309353328 CrossRefGoogle Scholar
Ownsworth, T., Arnautovska, U., Beadle, E., Shum, D.H.K., & Moyle, W. (2018). Efficacy of telerehabilitation for adults with traumatic brain injury. Journal of Head Trauma Rehabilitation, 33(4), E33E46. doi: 10.1097/htr.0000000000000350 CrossRefGoogle Scholar
Radford, K., Say, M., Thayer, Z., & Miller, L. (2010). Making the Most of Your Memory: An Everyday Memory Skills Program. Sydney, Australia: ASSBI Resources, Sydney.Google Scholar
Radford, K., Lah, S., Say, M.J., & Miller, L.A. (2011). Validation of a new measure of prospective memory: The Royal Prince Alfred prospective memory test. Clinical Neuropsychologist, 25(1), 127140. doi: 10.1080/13854046.2010.529463 CrossRefGoogle Scholar
Radford, K., Lah, S., Thayer, Z., Say, M.J., & Miller, L.A. (2012). Improving memory in outpatients with neurological disorders using a group-based training program. Journal of the International Neuropsychological Society, 18(4), 738748. doi: 10.1017/S1355617712000379 CrossRefGoogle Scholar
Rothman, M.D. & Tsou, H.-H. (2003). On non-inferiority analysis based on delta-method confidence intervals. Journal of Biopharmaceutical Statistics, 13(3), 565583. doi: 10.1081/BIP-120022775 CrossRefGoogle Scholar
Royle, J. & Lincoln, N. (2008). The Everyday Memory Questionnaire-revised: Development of a 13-item scale. Disability and Rehabilitation, 30(2), 114121. doi: 10.1080/09638280701223876 CrossRefGoogle Scholar
Russell, T.G. (2009). Telerehabilitation: A coming of age. Australian Journal of Physiotherapy, 55(1), 56. doi: 10.1016/S0004-9514(09)70054-6 CrossRefGoogle Scholar
Schumi, J. & Wittes, J.T. (2011). Through the looking glass: Understanding non-inferiority. Trials, 12, 112. doi: 10.1186/1745-6215-12-106 CrossRefGoogle Scholar
Schmidt, M. (1996). Rey auditory verbal learning test: A handbook. Los Angeles, CA: Western Psychological Services.Google Scholar
Sheldon, S. & Winocur, G. (2014). Memory loss after stroke, In Schweizer, T.A. and Loch Macdonald, R. (Eds.), The behavioral consequences of stroke (pp. 151176). New York, NY: Springer.CrossRefGoogle Scholar
Taylor, G.H. & Broomfield, N.M. (2013). Cognitive assessment and rehabilitation pathway for stroke (CARPS). Topics in Stroke Rehabilitation, 20(3), 270282. doi: 10.1310/tsr2003-270 CrossRefGoogle Scholar
Turner-Stokes, L. (2009). Goal attainment scaling (GAS) in rehabilitation: A practical guide. Clinical Rehabilitation, 23(4), 362370. doi: 10.1177/0269215508101742 CrossRefGoogle Scholar
Turner-Stokes, L., Williams, H., & Johnson, J. (2009). Goal attainment scaling: Does it provide added value as a person-centred measure for evaluation of outcome in neurorehabilitation following acquired brain injury? Journal of Rehabilitation Medicine, 41(7), 528535. doi: 10.2340/16501977-0383 CrossRefGoogle Scholar
Weakliem, D.L. (2016). Hypothesis testing and model selection in the social sciences. New York: Guilford Press.Google Scholar
Wechsler, D. (2009). Test of premorbid functioning. San Antonio, TX: The Psychological Corporation.Google Scholar
Westerberg, H., Jacobaeus, H., Hirvikoski, T., Clevberger, P., Ostensson, M.-L., Bartfai, A., & Klingberg, T. (2007). Computerised working memory training after stroke: A pilot study. Brain Injury, 21(1), 2129. doi: 10.1080/02699050601148726 CrossRefGoogle Scholar
Withiel, T.D., Sharp, V.L., Wong, D., Ponsford, J.L., Warren, N., & Stolwyk, R.J. (2018). Understanding the experience of compensatory and restorative memory rehabilitation: A qualitative study of stroke survivors. Neuropsychological Rehabilitation. Advance online publication. doi: 10.1080/09602011.2018.1479275 CrossRefGoogle Scholar
Withiel, T.D., Stolwyk, R.J., Ponsford, J.L., Cadilhac, D.A., & Wong, D. (2019). Effectiveness of a manualised group training intervention for memory dysfunction following stroke: A series of single case studies. Disability and Rehabilitation. Advance online publication. doi: 10.1080/09638288.2019.1579260 CrossRefGoogle Scholar
Withiel, T.D., Wong, D., Ponsford, J.L., Cadilhac, D.A., New, P., Mihaljcic, T., & Stolwyk, R.J. (2019). Comparing compensatory and restorative memory rehabilitation following stroke: A phase II randomised controlled trial. Journal of Rehabilitation Medicine, 51(5), 343351. doi: 10.2340/16501977-2540 CrossRefGoogle Scholar