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Chapter 27 - Assistive Technology and Rehabilitation

Published online by Cambridge University Press:  28 April 2020

By
Brian O’Neill ,
Catherine Best  and
Matt Jamieson
Edited by
Peter C. Whitfield ,
Jessie Welbourne ,
Elfyn Thomas ,
Fiona Summers ,
Maggie Whyte  and
Peter J. Hutchinson
Peter C. Whitfield
Affiliation:
Derriford Hospital, Plymouth
Jessie Welbourne
Affiliation:
University Hospitals, Plymouth
Elfyn Thomas
Affiliation:
Derriford Hospital, Plymouth
Fiona Summers
Affiliation:
Aberdeen Royal Infirmary
Maggie Whyte
Affiliation:
Aberdeen Royal Infirmary
Peter J. Hutchinson
Affiliation:
Addenbrooke’s Hospital, Cambridge
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Summary

Technologies are human creations that augment human ability. Information processors are our most advanced technologies, providing both a useful metaphor in understanding cognitive function,1 and digital devices which can augment impaired cognition.2

The view of the brain as comprising distinct modules of function has held sway in behavioural neurology and neuropsychology since the inception of these disciplines.3 Backed by lesion and imaging studies, this conceptualisation has allowed the development of reliable cognitive tests, and therefore an understanding of how impairment of functional modules predicts everyday functional behaviour. This chapter reviews evidence that specific technologies can be used to support impairments of the specific mental functions impaired by brain injury.

Type
Chapter
Information
Traumatic Brain Injury
A Multidisciplinary Approach
 , pp. 353 - 363
Publisher: Cambridge University Press
Print publication year: 2020

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References

Finger, S. Minds behind the brain: a history of the pioneers and their discoveries. New York: Oxford; 2000.Google Scholar
O’Neill, B, Gillespie, A. Assistive technology for cognition: a handbook for clinicians and developers. Hove, UK: Psychology Press; 2014.CrossRefGoogle Scholar
Fodor, JA. The modularity of mind. Cambridge, MA: MIT Press; 1983.CrossRefGoogle Scholar
World Health Organization. International classification of functioning, disability and health (ICF); 2002. www.who.int/classifications/icf/en/Google Scholar
De Joode, E, van Heugten, C, Verhey, F, van Boxtel, M. Efficacy and usability of assistive technology for patients with cognitive deficits: a systematic review. Clin Rehabil 2010;24:701–14.CrossRefGoogle ScholarPubMed
Gillespie, A, Best, C, O’Neill, B. Cognitive function and assistive technology for cognition: a systematic review. J Int Neuropsychol Soc 2012;18:1–19.CrossRefGoogle ScholarPubMed
Jamieson, M, Cullen, B, McGee-Lennon, M, Brewster, B, Evans, JJ. The efficacy of cognitive prosthetic technology for people with memory impairments: a systematic review and meta-analysis. Neuropsychol Rehabil 2014;24(3–4):419–44.Google Scholar
Robertson, IH, Mattingley, JB, Rorden, C, Driver, J. Phasic alerting of neglect patients overcomes their spatial deficit in visual awareness. Nature 1998;395:169–72.CrossRefGoogle ScholarPubMed
Manly, T, Hawkins, K, Evans, J, Woldt, K, Robertson, IH. Rehabilitation of executive function: facilitation of effective goal management on complex tasks using periodic auditory alerts. Neuropsychologia 2002;40(3):271–81.CrossRefGoogle ScholarPubMed
Rich, LP. Prompting self-monitoring with assistive technology to increase academic engagement in students with attention-deficit/hyperactivity disorder symptoms. Unpublished PsyD thesis, Hofstra University, New York; 2009.Google Scholar
Fish, J, Evans, JJ, Nimmo, M, Martin, E, Kersel, D, Bateman, A, Manly, T. Rehabilitation of executive dysfunction following brain injury: ‘content-free’ cueing improves everyday prospective memory performance. Neuropsychologia 2007;45(6):1318–30.Google Scholar
Yeates, G, Hamill, M, Sutton, L, Psaila, K, Gracey, F, Mohamed, S, O’Dell, J. Dysexecutive problems and interpersonal relating following frontal brain injury: Reformulation and compensation in cognitive analytic therapy (CAT). Neuropsychoanalysis 2008;10(1):43–58.Google Scholar
Hart, T, Hawkey, K, Whyte, J. Use of a portable voice organizer to remember therapy goals in traumatic brain injury rehabilitation: a within-subjects trial. J Head Trauma Rehabil 2002;17(6):556–70.Google Scholar
Svoboda, E, Richards, B, Yao, C, Leach, L. Long-term maintenance of smartphone and PDA use in individuals with moderate to severe memory impairment. Neuropsychol Rehabil 2015;25(3):353–73.CrossRefGoogle ScholarPubMed
Berry, E, Kapur, N, Williams, L, Hodges, S, Watson, P, Smyth, G., Wood, K. The use of a wearable camera, SenseCam, as a pictorial diary to improve autobiographical memory in a patient with limbic encephalitis: a preliminary report. Neuropsychol Rehabil 2007;17(4–5):582–601.Google Scholar
Svanberg, J, JJ, Evans. Impact of SenseCam on memory, identity and mood in Korsakoff’s syndrome: a single case experimental design study. Neuropsychol Rehabil 2014;24(3–4):400–18.Google Scholar
Woodberry, E, Browne, G, Hodges, S, Watson, P, Kapur, N, Woodberry, K. The use of a wearable camera improves autobiographical memory in patients with Alzheimer’s disease. Memory 2015;23(3):340-349.Google Scholar
Alm, N, Astell, A, Ellis, M, Dye, R, Gowans, G, Campbell, J. A cognitive prosthesis and communication support for people with dementia. Neuropsychol Rehabil 2004;14(1–2):117–34.Google Scholar
Bond, MR, Brooks, DN, McKinlay, W. Burdens imposed on the relatives of those with severe brain damage due to injury. Acta Neurochir 1979;28(suppl):124–5.Google Scholar
Gosling, J, Oddy, M. Rearranged marriages: marital relationships after head injury. Brain Injury 1999;13(10):785–96.Google ScholarPubMed
Wood, RL. Understanding neurobehavioural disability. In Wood, RL, McMillan, TM, eds. Neurobehavioural disability and social handicap following traumatic brain injury. Hove, UK: Psychology Press; 2001.Google Scholar
McInnis, M, Marks, I. Audiotape therapy for persistent auditory hallucinations. Br J Psychiatr 1990;157(6):913–14.CrossRefGoogle ScholarPubMed
Reiner, R. Integrating a portable biofeedback device into clinical practice for patients with anxiety disorders: results of a pilot study. Appl Psychophysiol Biofeedback 2008;33(1):55–61.CrossRefGoogle ScholarPubMed
O’Neill, B, Findlay, G. Single case methodology in neurobehavioural rehabilitation: preliminary findings on biofeedback in the treatment of challenging behaviour. Neuropsychol Rehabil 2014;24(3–4):365–81.Google ScholarPubMed
Habib, F, O’Neill, B, Evans, JJ. Biofeedback in treatment of challenging behaviour after brain injury. Poster at the 11th Conference of the Neuropsychological Rehabilitation Special Interest Group of the World Federation for NeuroRehabilitation (WFNR), Limasol, Cyprus; 2014.Google Scholar
Bemelmans, R, Gelderblom, GJ, Jonker, P, de Witte, L. Effectiveness of robot Paro in intramural psychogeriatric care: a multicentre quasi-experimental study. J Am Med Directors Assoc 2015;16(11):946–50.Google Scholar
O’Neill, B, Best, C, O’Neill, L, Ramos, SDS, Gillespie, A. Efficacy of a micro-prompting technology in reducing support needed by people with severe acquired brain injury in activities of daily living: a randomized control trial. J Head Trauma Rehabil 2017;29.CrossRefGoogle Scholar
Worthington, AD, Matthews, S, Melia, Y, Oddy, M. Cost-benefits associated with social outcome from neurobehavioural rehabilitation. Brain Injury 2006;20(9):947–57.Google Scholar
Wilson, BA, Emslie, HC, Quirk, K, Evans, JJ. Reducing everyday memory and planning problems by means of a paging system: a randomised control crossover study. J Neurol Neurosurg Psychiatr 2001;70(4):477–82.CrossRefGoogle ScholarPubMed
Mihailidis, A. The efficacy of an intelligent cognitive orthosis to facilitate handwashing by persons with moderate to severe dementia. Neuropsychol Rehabil 2008;14(1–2):135–71.Google Scholar
Lancioni, GE, O’Reilly, MF, Seedhouse, P, Furniss, F, Cunha, B. Promoting independent task performance by persons with severe developmental disabilities through a new computer-aided system. Behavior Modification 2000;24(5):700–18.Google Scholar
Lancioni, GE, Singh, NN, O’Reilly, MF, Sigafoos, J, Alberti, G, Zimbaro, C, Chiariello, V. Using smartphones to help people with intellectual and sensory disabilities perform daily activities. Front Public Health 2017;5:282.Google Scholar
O’Neill, B, Moran, K, Gillespie, A. Scaffolding rehabilitation behaviour using a voice mediated assistive technology for cognition. Neuropsychol Rehabil 2010;18:1–19.Google Scholar
O’Neill, B, Best, C, O’Neill, L, Gillespie, A. Automated prompting technologies in rehabilitation and at home. Social Care Neurodisability 2013;4(1):17–28.Google Scholar
Moir, J, Evans, JJ, O’Neill, B. Assistive technology for supporting diabetes self-management in persons with cognitive impairment following acquired brain injury. Unpublished.Google Scholar
O’Neill, B, Gillespie, A. Assistive technology, disability and rehabilitation. In: McMillan, TM, Wood, RLL, eds. Neurobehavioural Disability and Social Handicap Following Traumatic Brain Injury. 2nd ed. Hove, UK: Psychology Press, 2017.Google Scholar
Brown, P, Clark, A, Seddon, E, O’Neill, B. Scripted orientation videos and awareness of deficit. Poster at the 10th Conference of the Neuropsychological Rehabilitation Special Interest Group of the World Federation for NeuroRehabilitation (WFNR), Maastricht, Netherlands; 2013.Google Scholar
Culley, C, Evans, JJ. SMS text messaging as a means of increasing recall of therapy goals in brain injury rehabilitation: a single-blind within-subjects trial. Neuropsychol Rehabil 2010;20(1):103–19.Google Scholar
Yeates, G, Hamill, M, Sutton, L, Psaila, K, Gracey, F, Mohamed, S, O’Dell, J. Dysexecutive problems and interpersonal relating following frontal brain injury: reformulation and compensation in cognitive analytic therapy (CAT). Neuropsychoanalysis 2008;10(1):43–58.CrossRefGoogle Scholar
Robinson, L, Brittain, K, Lindsay, S, Jackson, D, Olivier, P. Keeping In Touch Everyday (KITE) project: developing assistive technologies with people with dementia and their carers to promote independence. Int Psychogeriatr 2009;21(3):494–502.Google Scholar
Chang, YJ, Tsai, SK, Wang, TY. A context aware handheld wayfinding system for individuals with cognitive impairments. In: Proceedings of the 10th international ACM SIGACCESS conference on computers and accessibility. New York: Association for Computing Machinery; 2008.Google Scholar
Morris, A, Donamukkala, R, Kapuria, A, Steinfeld, A, Matthews, JT, Dunbar-Jacob, J, Thrun, S. A robotic walker that provides guidance. In Robotics and automation: Proceedings ICRA’03. Vol. 1. New York: IEEE; 2003.Google Scholar
Liu, X, Makino, H, Maeda, Y. Basic study on indoor location estimation using visible light communication platform. In Engineering in medicine and biology society. New York: IEEE; 2008.Google Scholar
Harniss, M, Brown, P, Johnson, K. Cognitive technologies for wayfinding. In: O’Neill, B, Gillespie, A, eds. Assistive technology for cognition. Hove, UK: Psychology Press; 2014.Google Scholar
Schmidt, J, Fleming, J, Ownsworth, T. Lannin NA Video feedback on functional task performance improves self-awareness after traumatic brain injury a randomized controlled trial. Neurorehabil Neural Repair 2013;27(4):316–24.Google Scholar
Jamieson, M, McGee-Lennon, M, Cullen, B, Brewster, S, Evans, J. Issues influencing the uptake of smartphone reminder apps for people with acquired brain injury. In: Proceedings of the 17th international ACM SIGACCESS conference on computers and accessibility. New York: ACM; 2015.Google Scholar
Kerssens, C, Kumar, R, Adams, AE, Knott, CC, Matalenas, L, Sanford, JA, Rogers, WA. Personalized technology to support older adults with and without cognitive impairment living at home. Am J Alzheimer’s Dis Other Dementias 2015;30(1):85–97.CrossRefGoogle ScholarPubMed
Abroms, LC, Whittaker, R, Free, C, Van Alstyne, JM, Schindler-Ruwisch, JM. Developing and pretesting a text messaging program for health behavior change: recommended steps. JMIR mHealth and uHealth 2015;3(4):e107.Google Scholar
Kumar, S, Nilsen, WJ, Abernethy, A, Atienza, A, Patrick, K, Pavel, M., Spruijt-Metz, D. Mobile health technology evaluation: the mhealth evidence workshop. Am J Preventive Med 2013;45(2):228–36.Google Scholar
Nahum-Shani, I, Smith, SN, Tewari, A, Witkiewitz, K, Collins, LM, Spring, B, Murphy, S. Just in time adaptive interventions (jitais): an organizing framework for ongoing health behavior support. Technical report 14-126. Methodology Center, Penn State; 2014.Google Scholar
King, AC, Hekler, EB, Grieco, LA, Winter, SJ, Sheats, JL, Buman, MP, Cirimele, J. Harnessing different motivational frames via mobile phones to promote daily physical activity and reduce sedentary behavior in aging adults. PLoS One;2013;8(4):e62613.Google Scholar
Lin, JJ, Mamykina, L, Lindtner, S, Delajoux, G, Strub, HB. Fish’n’Steps: encouraging physical activity with an interactive computer game. In Dourish, P, Friday, A, eds. Ubiquitous computing. Berlin: Springer; 2006.Google Scholar
Dennison, L, Morrison, L, Conway, G, Yardley, L. Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study. J Med Internet Res 2013;15(4):e86.Google Scholar
Rotheram-Borus, MJ, Tomlinson, M, Gwegwe, M, Comulada, WS, Kaufman, N, Keim, M. Diabetes buddies peer support through a mobile phone buddy system. Diabetes Educator 2012;38(3):357–65.Google Scholar
Nundy, S, Dick, JJ, Goddu, AP, Hogan, P, Lu, C-YE, Solomon, MC, Peek, ME. Using mobile health to support the chronic care model: developing an institutional initiative. Int J Telemed Appl 2012. doi:10.1155/2012/871925Google Scholar
Lee, SI, Adans-Dester, C, O’Brien, A, Diaz, GV, Black-Schaffer, R, Patel, S, Bonato, P. Using wearable motion sensors to estimate longitudinal changes in movement quality in stroke and traumatic brain injury survivors undergoing rehabilitation. Arch Phys Med Rehabil 2016;97(10):e117.Google Scholar
Stawarz, K, Cox, AL, Blandford, A. Don’t forget your pill! Designing effective medication reminder apps that support users’ daily routines. In Proceedings of the 32nd annual ACM conference on human factors in computing systems. New York: ACM; 2014.Google Scholar
Fogg, BJ. A behavior model for persuasive design. In Proceedings of the 4th international conference on persuasive technology. New York: ACM; 2009.Google Scholar
Van den Broek, MD. Why does neurorehabilitation fail? J Head Trauma Rehabil 2005;20(5):464–73.Google Scholar
Alderman, N, Knight, C, Morgan, C. Use of a modified version of the Overt Aggression Scale in the measurement and assessment of aggressive behaviours following brain injury. Brain Injury 1997;11(7):503–23.Google Scholar
Jamieson, M, O’Neill, B, Cullen, B, Lennon, M, Brewster, S, Evans, J. ForgetMeNot: active reminder entry support for adults with acquired brain injury. In: Proceedings of the 2017 CHI conference on human factors in computing systems. New York: ACM; 2017.Google Scholar
Web Content Accessibility Guidelines 1.0. www.w3.org/TR/WCAG10/Google Scholar
Friedman, MG, Bryen, DN. Web accessibility design recommendations for people with cognitive disabilities. Technol Disabil 2007;19(4):205–12.Google Scholar
Hu, R, Feng, JH. Investigating information search by people with cognitive disabilities. ACM Trans Accessible Comput 2015;7(1):1-30.Google Scholar
De Joode, E, Proot, I, Slegers, K, van Heugten, C, Verhey, F, van Boxtel, M. The use of standard calendar software by individuals with acquired brain injury and cognitive complaints: a mixed methods study. Disabil Rehabil Assist Technol 2012;7(5):389–98.CrossRefGoogle ScholarPubMed
Jamieson, M. Investigating assistive technology to support memory for people with cognitive impairments. PhD dissertation, University of Glasgow; 2016.Google Scholar
Powell, LE, Glang, A, Pinkelman, S, Albin, R, Harwick, R, Ettel, D, Wild, MR. Systematic instruction of assistive technology for cognition (ATC) in an employment setting following acquired brain injury: a single case, experimental study. NeuroRehabilitation 2015;37(3):437–47.Google Scholar

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