Technology to encourage meaningful activities following brain injury

References

• Headway, “Acquired Brain Injury - The Numbers Behind the Hidden Disability”, https://www.headway.org.uk/media/2883/acquired-brain-injury-the-numbers-behind-the-hidden-disability.pdf, accessed 01/07/16; 2015.
   Google Scholar
• Evans JJ, Wilson BA, Needham P, et al. Who makes good use of memory aids? Results of a survey of people with acquired brain injury. J Int Neuropsychol Soc. 2003;9:925–935.
   Google Scholar
• Seligman M. Learned optimism: how to change your mind and your life. USA: Vintage; 2011.
   Google Scholar
• Iso-Ahola SE, Crowley ED. Adolescent substance abuse and leisure boredom. J Leis Res. 1991;23:260.
   Google Scholar
• Caldwell LL. Leisure and health: why is leisure therapeutic? Br J Guid Couns. 2005;33:7–26.
   Google Scholar
• Häggström A, Lund ML. The complexity of participation in daily life: a qualitative study of the experiences of persons with acquired brain injury. J Rehabil Med. 2008;40:89–95.
   Google Scholar
• Douglas JM. Conceptualizing self and maintaining social connection following severe traumatic brain injury. Brain Inj. 2013;27:60–74.
   Google Scholar
• Cardol M, Jong BD, Ward CD. On autonomy and participation in rehabilitation. Disabil Rehabil. 2002;24:977–982.
   Google Scholar
• Oddy M, Da Silva Ramos S. The clinical and cost-benefits of investing in neurobehavioural rehabilitation: a multi-centre study. Brain Inj. 2013;27:1500–1507.
   Google Scholar
• Worthington AD, Matthews S, Melia Y, et al. Cost-benefits associated with social outcome from neurobehavioural rehabilitation. Brain Inj. 2006;20:947–957.
   Google Scholar
• O’Neill B, Gillespie A. Assistive technology for cognition: a handbook for clinicians and developers. UK: Psychology Press; 2014.
   Google Scholar
• Jamieson M, Monastra M, Gillies G, et al. The use of a smartwatch as a prompting device for people with acquired brain injury: a single case experimental design study. Neuropsychol Rehabil. 2017;0:1–21.
   Google Scholar
• Evans JJ, Emslie H, Wilson BA. External cueing systems in the rehabilitation of executive impairments of action. J Int Neuropsychol Soc. 1998;4:399–408.
   Google Scholar
• Fish J, Manly T, Wilson BA. Long-term compensatory treatment of organizational deficits in a patient with bilateral frontal lobe damage. J Int Neuropsychol Soc. 2008;14:154–163.
   Google Scholar
• Wilson BA, Emslie H, Quirk K, et al. A randomized control trial to evaluate a paging system for people with traumatic brain injury. Brain Inj. 2005;19:891–894.
   Google Scholar
• Jamieson M, Cullen B, McGee-Lennon M, et al. The efficacy of cognitive prosthetic technology for people with memory impairments: a systematic review and meta-analysis. Neuropsychol Rehabil. 2014;24:419–444.
   Google Scholar
• Wilson BA, Emslie HC, Quirk K, et al. Reducing everyday memory and planning problems by means of a paging system: a randomised control crossover study. J Neurol Neurosurg Psychiatry. 2001;70:477–482.
   Google Scholar
• O'Neill B, Best C, Gillespie A, et al. Automated prompting technologies in rehabilitation and at home. Soc Care Neurodisabil. 2013;4:17–28.
   Google Scholar
• O'Neill B, Best C, O'Neill L, et al. Efficacy of a micro-prompting technology in reducing support needed by people with severe acquired brain injury in activities of daily living. J Head Trauma Rehabil. 2017;33:1.
   Google Scholar
• Brown J, Wollersheim M. Exploring assistive technology use to support cognition in college students with histories of mild traumatic brain injury. Disabil Rehabil Assist Technol. 2018;0:1–12.
   Google Scholar
• Fogg BJ. Using computers to change what we think and do. Persuas Technol. 2003;5:89–120.
   Google Scholar
• Brunner M, Hemsley B, Togher L, et al. Technology and its role in rehabilitation for people with cognitive-communication disability following a traumatic brain injury (TBI). Brain Inj. 2017;31:1028–1043.
   Google Scholar
• .Stawarz K, Cox AL, Blandford A. Don't forget your pill!: designing effective medication reminder apps that support users' daily routines. InProceedings of the 32nd annual ACM conference on Human factors in computing systems, Toronto, 2014 Apr 26 (pp. 2269–2278). ACM.
   Google Scholar
• Topol EJ, Hill D. The creative destruction of medicine: how the digital revolution will create better health care. New York: Basic Books; 2012.
   Google Scholar
• Jamieson M, Evans JJ. Assistive technology for executive functions. In: O’Neill B, Gillespie A, editors. Assistive technology for cognition: a handbook for clinicians and developers. (pp. 81–92). UK: Psychology Press; 2014.
   Google Scholar
• Lennon M, Baillie L, Hoonhout J, et al. Crossing HCI and health. Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems – CHI EA Seoul, April 2015; 2015.
   Google Scholar
• Zador Z, Sperrin M, King AT. Predictors of outcome in traumatic brain injury: new insight using receiver operating curve indices and Bayesian network analysis. PLoS One. 2016;11:1–18.
   Google Scholar
• Hellstrøm T, Kaufmann T, Andelic N, et al. Predicting outcome 12 months after mild traumatic brain injury in patients admitted to a neurosurgery service. Front Neurol. 2017;8:125.
   Google Scholar
• Scherer MJ, Federici S. Why people use and don’t use technologies: introduction to the special issue on assistive technologies for cognition/cognitive support technologies. Nre. 2015;37:315–319.
   Google Scholar
• Bier N, Sablier J, Briand C, et al. Special issue on technology and neuropsychological rehabilitation: overview and reflections on ways to conduct future studies and support clinical practice. Neuropsychol Rehabil. 2018;28:864–877.
   Google Scholar
• Holton JA, Walsh I. Classic grounded theory: applications with qualitative and quantitative data. London: Sage; 2016.
   Google Scholar
• Rabiee F. Focus-group interview and data analysis. Proc Nutr Soc. 2004;63:655–660.
   Google Scholar
• Feuston JL, Marshall-Fricker CG, Piper AM. The social lives of individuals with traumatic brain injury. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems – CHI Denver, May 2017; 2017.
   Google Scholar
• Jamieson M, Cullen B, McGee-Lennon M, et al. Technological memory aid use by people with acquired brain injury. Neuropsychol Rehabil. 2017;27:919–936.
   Google Scholar
• Mehrotra A, Musolesi M, Hendley R, et al. Designing content-driven intelligent notification mechanisms for mobile applications. Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing – UbiComp Osaka, September, 2015; 2015.
   Google Scholar
• Bedell GM, Wade SL, Turkstra LS, et al. Informing design of an app-based coaching intervention to promote social participation of teenagers with traumatic brain injury. Dev Neurorehabil. 2017;20:408–417.
   Google Scholar
• Ofcom, “Rise of the Social Seniors revealed" https://www.ofcom.org.uk/about-ofcom/latest/media/media-releases/2017/rise-social-seniors, accessed 15/09/18; 2018.
   Google Scholar
• van den B. Why does neurorehabilitation fail? J Head Trauma Rehabil. 2005;20:464–473.
   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. Tbin. 1997;11:503–523.
   Google Scholar
• .Fogg BJ. Creating persuasive technologies: an eight-step design process. InProceedings of the 4th international conference on persuasive technology 2009 Apr 26 (p. 44). ACM.
   Google Scholar
• Sohlberg MM, Mateer CA. Cognitive rehabilitation: an integrative neuropsychological approach. UK: Guilford Publications; 2017.
   Google Scholar
• Hart T, Tsaousides T, Zanca J, et al. Toward a theory-driven classification of rehabilitation treatments. Arch Phys Med Rehabil. 2014;95:33–44.
   Google Scholar
• Nahum-shani I, Smith SN, Witkiewitz K, et al. Just-in-Time Adaptive Interventions (JITAIs): an organizing framework for ongoing health behavior support. Ann Behav Med. 2014;073975:1–37.
   Google Scholar
• Lee SI, Adans-Dester C, O’Brien A, et al. 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:e117.
   Google Scholar
• Kumar S, Nilsen WJ, Abernethy A, et al. Mobile health technology evaluation: the mHealth evidence workshop. Am J Prev Med. 2013;45:228–236.
   Google Scholar
• Lin JJ, Mamykina L, Lindtner S, Delajoux G, Strub HB. Fish’n’Steps: Encouraging physical activity with an interactive computer game. InInternational conference on ubiquitous computing 2006 Sep 17 (pp. 261-278). Springer, Berlin, Heidelberg
   Google Scholar
• Dennison L, Morrison L, Conway G, et al. Opportunities and challenges for smartphone applications in supporting health behavior change. Qualitative study. J Med Internet Res. 2013;15:86.
   Google Scholar
• Rotheram-Borus MJ, Tomlinson M, Gwegwe M, et al. Diabetes buddies: peer support through. Diabetes Educ. 2012;38:357–365.
   Google Scholar
• Toscos T, Faber AM, Connelly KH, et al. Encouraging physical activity in teens: can technology help reducte barriers to physical activity in adolescent girls? Proc Pervasive Heal. 2008;3:173–184.
   Google Scholar
• Cole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev. 2010;32:56–69.
   Google Scholar
• Nundy S, Dick JJ, Goddu AP, et al. Using mobile health to support the chronic care model: developing an institutional initiative. Int J Telemed Appl. 2012;2012.
   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. InProceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility, Lisbon, October 26, 2015 (pp. 339-340). ACM.
   Google Scholar
• .Davies DK, Stock SE, Wehmeyer ML. Enhancing independent internet access for individuals with mental retardation through use of a specialized web browser: A pilot study. Education and Training in Mental Retardation and Developmental Disabilities. 2001 Mar 1:107-13
   Google Scholar
• LoPresti E, Kirsch N, Simpson R, Schreckenghost D. Solo: interactive task guidance. InProceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility 2005 Oct 9 (pp. 190-191). ACM.
   Google Scholar
• Freeman ED, Clare L, Savitch N, Royan L, Litherland R, Lindsay M.. Improving website accessibility for people with early-stage dementia: a preliminary investigation. Aging & mental health. 2005 Sep 1;9(5):442-8.
   Google Scholar
• .Friedman MG, Bryen DN. Web accessibility design recommendations for people with cognitive disabilities. Technology and Disability. 2007 Jan 1;19(4):205-212
   Google Scholar
• Lazar J, Feng JH, Hochheiser H. Research methods in human-computer interaction. UK: Wiley & Sons; 2010.
   Google Scholar
• Hu R, Feng JH. Investigating information search by people with cognitive disabilities. ACM Trans Access Comput. 2015;7:1–30.
   Google Scholar
• de Joode E, Proot I, Slegers K, et al. The use of standard calendar software by individuals with acquired brain injury and cognitive complaints: a mixed methods study. Disabil Rehabil Assist Technol. 2012;7:389–398.
   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. InProceedings of the 2017 CHI Conference on Human Factors in Computing Systems, Denver, 2017 May 2 (pp. 6012-6023). ACM.
   Google Scholar
• Gollwitzer PM. Implementation intentions: strong effects of simple plans. Am Psychol. 1999;54:493.
   Google Scholar
• Gollwitzer PM, Sheeran P. Implementation intentions and goal achievement: a meta‐analysis of effects and processes. Adv Exp Soc Psychol. 2006;38:69–119.
   Google Scholar