Effectiveness of using assistive technology for time orientation and memory, in older adults with or without dementia

References

• Hu K, Riemersma-van der Lek RF, Patxot M, et al. Progression of dementia assessed by temporal correlations of physical activity: results from a 3.5-year, longitudinal randomized controlled trial. Sci Rep. 2016;6:27742:1–10.
   Google Scholar
• Alzheimers Association. 2015 Alzheimer’s disease facts and figures. Alzheimers Dement. J. 2015;11:332–384.
   PubMed Web of Science ®Google Scholar
• World Health Organization. Fact sheet/ageing and health. 2018. Available from: http://www.who.int/mediacentre/factsheets/fs404/en/
   Google Scholar
• Di Carlo A, Baldereschi M, Lamassa M, et al. Italian Longitudinal Study on Aging Working Group. Daily function as predictor of dementia in cognitive impairment, no dementia (CIND) and mild cognitive impairment (MCI): an 8-year follow-up in the ILSA Study. J Alzheimers Dis. 2016;53:505–515.
   PubMed Web of Science ®Google Scholar
• Czarnuch S, Ricciardelli R, Mihailidis A. Predicting the role of assistive technologies in the lives of people with dementia using objective care recipient factors. BMC Geriatr. 2016;16:143:1–11.
   PubMed Web of Science ®Google Scholar
• Inoue T, Nihei M, Narita T, et al. Field-based development of an information support robot for persons with dementia. Technol Disabil. 2012;24:263–271.
   Google Scholar
• Chaurasia P, McClean SI, Nugent CD, editors. Technology adoption and prediction tools for everyday technologies aimed at people with dementia. Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society; 2016 August 16–20. Orlando (FL): EMBC Press; 2016.
   Google Scholar
• Chaurasia P, McClean SI, Nugent CD, et al. Modelling assistive technology adoption for people with dementia. J Biomed Inform. 2016;63:235–248.
   PubMed Web of Science ®Google Scholar
• Orpwood R, Sixsmith A, Torrington J, et al. Designing technology to support quality of life of people with dementia. Technol Disabil. 2007;19:103–112.
   Google Scholar
• Czarnuch S, Mihailidis A. The design of intelligent in-home assistive technologies: assessing the needs of older adults with dementia and their caregivers. Gerontechnology 2011;10:165–178.
   Google Scholar
• O’Keefe J, Maier J, Freiman M. Assistive technology for people with dementia and their caregivers at home: what might help. Admin Aging 2010. [cited 2010 Sep 16]; [37p.]. Author’s manuscript available from: https://www.dhs.wisconsin.gov/regulations/training/a8-b8-ho2.pdf
   Google Scholar
• Lorenz K, Freddolino PP, Comas-Herrera A, et al. Technology-based tools and services for people with dementia and carers: mapping technology onto the dementia care pathway. Dementia 2019;18:725–741.
   PubMedGoogle Scholar
• Malinowsky C, Kottorp A, Tanemura R, et al. Validation of the everyday technology use questionnaire in a Japanese context. Hong Kong J Occup Ther. 2015;26:1–8.
   Web of Science ®Google Scholar
• Malinowsky C, Nygård L, Tanemura R, et al. Everyday technology use among older adults in Sweden and Japan: a comparative study. Scand J Occup Ther. 2018;25:436–445.
   PubMed Web of Science ®Google Scholar
• Dumurgier J, Dartigues JF, Gabelle A, et al. Time orientation and 10 years risk of dementia in elderly adults: the three-city study. J Alzheimers Dis. 2016;53:1411–1418.
   PubMed Web of Science ®Google Scholar
• Malek-Ahmadi M, Davis K, Belden CM, et al. Informant-reported cognitive symptoms that predict amnestic mild cognitive impairment. BMC Geriatr. 2012;12:3.
   PubMed Web of Science ®Google Scholar
• Iwamoto Y, Hoshiyama M. Time orientation during the day in the elderly with demtnia. Phys Occup Ther Geriatr. 2012;30:202–213.
   Google Scholar
• O'Keeffe E, Mukhtar O, O'Keeffe ST. Orientation to time as a guide to the presence and severity of cognitive impairment in older hospital patients. J Neurol Neurosurg Psychiatry 2011;82:500–504.
   PubMed Web of Science ®Google Scholar
• Guerrero-Berroa E, Luo X, Schmeidler J, et al. The MMSE orientation for time domain is a strong predictor of subsequent cognitive decline in the elderly. Int J Geriat Psychiatry 2009;24:1429–1437.
   PubMed Web of Science ®Google Scholar
• Nygård L, Johansson M. The experience and management of temporality in five cases of dementia. Scand J Occup Ther. 2001;8:85–95.
   Google Scholar
• Nygård L, Pantzar M, Uppgard B, et al. Detection of activity limitations in older adults with MCI or Alzheimer’s disease through evaluation of perceived difficulty in use of everyday technology: a replication study. Aging Ment Health 2012;16:361–371.
   PubMed Web of Science ®Google Scholar
• Zarit SH. Behavioral disturbances of dementia and caregiver issues. Int Psychogeriatr. 1997;8:263–268.
   Google Scholar
• Camargo CH, Justus FF, Retzlaff G. The effectiveness of reality orientation in the treatment of Alzheimer’s disease. Am J Alzheimers Dis Other Demen. 2015;30:527–532.
   PubMed Web of Science ®Google Scholar
• Spector A, Davies S, Woods B, et al. Reality orientation for dementia: a systematic review of the evidence of effectiveness from randomized controlled trials. Gerontologist 2000;40:206–212.
   PubMed Web of Science ®Google Scholar
• Topo P, Saarikalle K, Begley E, et al. “I don’t know about the past or the future, but today it’s Friday” – evaluation of a time aid for people with dementia. Technol Disabil. 2007;19:121–131.
   Google Scholar
• Kamimura T, Ishiwata R, Inoue T. Medication reminder device for the elderly patients with mild cognitive impairment. Am J Alzheimers Dis Other Demen. 2012;27:238–242.
   PubMed Web of Science ®Google Scholar
• Knapp M, Barlow J, Comas-Herrera A, et al. The case for investment in technology to manage the global costs of dementia. London: Policy Innovation Research Unit; 2016.
   Google Scholar
• Janeslätt G, Kottorp A, Granlund M. Evaluating intervention using time aids in children with disabilities. Scand J Occup Ther. 2014;21:181–190.
   PubMed Web of Science ®Google Scholar
• Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12:189–198.
   PubMed Web of Science ®Google Scholar
• Kiernan RJ, Mueller J, Langston JW, et al. The Neurobehavioral Cognitive Status Examination: a brief but quantitative approach to cognitive assessment. Ann Intern Med. 1987;107:481–485.
   PubMed Web of Science ®Google Scholar
• Baumgarten M, Becker R, Gauthier S. Validity and reliability of the dementia behavior disturbance scale. J Am Geriatr Soc. 1990;38:221–226.
   PubMed Web of Science ®Google Scholar
• Machida A. Estimation of the reliability and validity of the short version of the 28-item Dementia Behavior Disturbance scale. Nippon Ronen Igakkai Zasshi. 2012;49:463–467.
   PubMedGoogle Scholar
• Reppermund S, Brodaty H, Crawford JD, et al. Impairment in instrumental activities of daily living with high cognitive demand is an early marker of mild cognitive impairment: the Sydney memory and ageing study. Psychol Med. 2013;43:2437–2445.
   PubMed Web of Science ®Google Scholar
• Kallio EL, Öhman H, Kautiainen H, et al. Cognitive training interventions for patients with Alzheimer’s disease: a systematic review. J Alzheimers Dis. 2017;56:1349–1372.
   PubMed Web of Science ®Google Scholar
• Bahar-Fuchs A, Clare L, Woods B. Cognitive training and cognitive rehabilitation for persons with mild to moderate dementia of the Alzheimer’s or vascular type: a review. Alzheimers Res Ther. 2013;5:35.
   PubMed Web of Science ®Google Scholar
• Finkel S. Introduction to behavioural and psychological symptoms of dementia (BPSD). Int J Geriatr Psychiatry 2000;15:S2–S4.
   PubMed Web of Science ®Google Scholar
• Malinowsky C, Nygård L, Kottorp A. Psychometric evaluation of a new assessment of the ability to manage technology in everyday life. Scand J Occup Ther. 2011;18:26–35.
   PubMed Web of Science ®Google Scholar