EVALUATION OF WEARABLE HEALTH TECHNOLOGIES IN ALZHEIMER’S PATIENTS: A SYSTEMATIC REVIEW

Abstract

Aim: This study aims to identify the use areas of wearable health technologies developed for Alzheimer's patients and to present the results obtained. Methods: The study was conducted using the systematic review method. Scanning was carried out on Medline, Scopus, and Web of Science (Core Collection) electronic databases. Results: The scanning resulted in 798 publications. At the end of the detailed full-text analysis, 5 articles that were found to be suitable for the study were evaluated. Usage areas of WHTs have been determined YILMAZ AND KALENDER 156 to prevent possible falls, plan daily activities (personalized care planning, medication follow-up, disease management), and improve recall and autobiographical memory. Conclusion: The research is important in terms of giving information about wearable health technologies that developed for Alzheimer's patients. However, we need more evidence related to the use of these technologies. The study additionally observed that the social media effect significantly affects the impulse purchases of consumers.

Keywords

• Alzheimer’s Disease
• Wearable Health Technology
• Wearable Devices
• Biosensor
• Systematic Review

References

1. Abbate, S., Avvenuti, M. and Light, J. (2012). MIMS: A minimally invasive monitoring sensor platform. IEEE Sensors Journal, 12(3), 677–684. https://doi.org/10.1109/JSEN.2011.2149515
2. Abbate, S., Avvenuti, M. and Light, J. (2014). Usability study of a wireless monitoring system among Alzheimer’s disease elderly population. International Journal of Telemedicine and Applications, 1–8. https://doi.org/10.1155/2014/617495
3. Acosta, D. and Wortmann, M. (2009). What is dementia? In M. Prince and J. Jackson (Ed.), Alzheimer’s Disease International World Alzheimer Report (pp. 14–21). Alzheimer’s Disease International.
4. Alzheimer Association. (2021). Global Dementia Cases Forecasted to Triple by 2050. The Alzheimer’s Association International Conference 2021. USA.
5. Aşiret, D. G. and Kapucu, S. (2015). Alzheimer Hastalarının Bilişsel ve Davranışsal Sorunları Üzerine Etkili Bir Yöntem: Anımsama Terapisi. Hacettepe Üniversitesi Hemşirelik Fakültesi Dergisi, 2(3), 60–68.
6. Avitabile, G., Coviello, G. and Margiotta, N. (2015). Preliminary study on gait variabilty analysis with a single axis gyroscope for Alzheimer and Parkinson's diseases. International Journal of Biology and Biomedical Engineering, 9, 155-158.
7. Aydan, S. and Aydan, M. (2016). Sağlık Hizmetlerinde Bireysel Ölçüm ve Giyilebilir Teknoloji: Olası Katkıları, Güncel Durum ve Öneriler. Hacettepe Sağlık İdaresi Dergisi, 19(3), 325– 342.
8. Bilir, N. (2006). Değişen Sağlık Örüntülerinde Halk Sağlığı Çalışanlarının Rolü: Kronik Hastalıklar ve Yaşlılık Sorunları. Toplum Hekimliği Bülteni, 25(3), 1–6.

9. Buckley, C., Mc Ardle, R., Galna, B., Thomas, A., Rochester, L. and Del Din, S. (2019). Evaluation of Daily Walking Activity and Gait Profiles: A Novel Application of A Time Series Analysis Framework. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2482–2485.
10. Dunn, J., Runge, R. and Snyder, M. (2018). Wearables and the medical revolution. Personalized Medicine, 15(5), 429-448.
11. Ekici, K. S. and Gümüş, Ö. (2016). Technology Usage in Older Ages. Ege Journal of Medicine, 55(Supplement), 26–30.
12. Eroymak, S. and Yiğit, V. (2017). Alzheimer Hastalığının Maliyet Analizi. Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 4(29), 167–196.
13. Eroymak, S. and Yiğit, V. (2020). Cost Effectiveness Analysis of Alzheimer’s Disease. Turkiye Klinikleri Journal of Health Sciences, 5(1), 99–111. https://doi.org/10.5336/healthsci.2019- 66536
14. Grierson, L. E. M., Zelek, J. and Carnahan, H. (2009). The Application of A Tactile Way-Finding Belt to Facilitate Navigation in Older Persons. Ageing International, 34(4), 203–215. https://doi.org/10.1007/s12126-009-9039-2
15. Habibipour, A., Padyab, A. M. and Ståhlbröst, A. (2019). Social, Ethical and Ecological Issues in Wearable Technologies. AMCIS 2019, Twenty-fifth Americas Conference on Information Systems, Cancun.
16. Hsu, Y. L., Chung, P. C., Wang, W. H., Pai, M. C., Wang, C. Y., Lin, C. W., ...and Wang, J. S. (2014). Gait and balance analysis for patients with Alzheimer's disease using an inertialsensor-based wearable instrument. IEEE Journal of Biomedical and Health Informatics, 18(6), 1822-1830.
17. Khattak, A. M., Truc, P. T. H., Hung, L. X., Vinh, L. T., Dang, V. H., Guan, D., Pervez, Z., Han, M., Lee, S. and Lee, Y. K. (2011). Towards Smart Homes Using Low Level Sensory Data. Sensors, 11(12), 11581–11604. https://doi.org/10.3390/s111211581
18. Maresova, P., Tomsone, S., Lameski, P., Madureira, J., Mendes, A., Zdravevski, E., Chorbev, I., Trajkovik, V., Ellen, M.and Rodile, K. (2018). Technological Solutions for Older People with Alzheimer's Disease: Review. Current Alzheimer Research, 15(10), 975– 983.https://doi.org/10.2174/1567205015666180427124547
19. Matthews, J. T., Lingler, J. H., Campbell, G. B., Hunsaker, A. E., Hu, L., Pires, B. R., Hebert, M. and Schulz, R. (2015). Usability of a Wearable Camera System for Dementia Family Caregivers. Journal of Healthcare Engineering, 6(2), 213–238. https://doi.org/10.1260/2040-2295.6.2.213
20. McCarthy, M. and Schueler, P. (2019). Can Digital Technology Advance the Development of Treatments for Alzheimer’s Disease? The Journal of Prevention of Alzheimer’s DiseaseJPAD, 6(4), 217 Mitzner, T. L., Savla, J., Boot, W. R., Sharit, J., Charness, N., Czaja, S. J. and Rogers, W. A. (2019). Technology adoption by older adults: findings from the PRISM trial. The Gerontologist, 59(1), 34-44.
21. Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med 6(7): e1000097. doi:10.1371/journal.pmed1000097
22. National Academies of Sciences, Engineering and Medicine. (2020). Social Isolation and Loneliness in Older Adults: Opportunities for the Health Care System. Washington, DC: The National Academies Press. https://doi.org/10.17226/25663.
23. OECD. (2013). Emerging trends in Biomedicine and Health Technology Innovation: Addressing the Global Challenge of Alzheimer’s.
24. Ouertani, H. C., Al-Mutairi, A., Al-Shehri, F., Al-Hammad, G., Al-Suhaibani, M., Al-Holaibah, M. and Al-Saleh, N. (2017). A Smartwatch Centric Social Networking Application for Alzheimer People. International Journal of Advanced Computer Science and Applications, 8(12), 357–361.
25. Özkan, O., Yeşilaydın, G. and Bülüç, F. (2018). Innovation and Global Issues Congress III: Extended Abstracts Book. In N. Bilici, R. Pehlivanlıand K. Ashırkhanova (Ed.), Wearable Health Technologies (pp. 114–119). Innovation and Global Issue in Social Sciences.
26. Padyab, A. and Habibipour, A. (2021). Issues and Adoption Barriers in Wearable Technologies. International Journal of Technology Diffusion (IJTD), 12(1), 75-89. http://doi.org/10.4018/IJTD.2021010104
27. Powell-Cope, G., Nelson, A. L. and Patterson, E. S. (2008). Patient Care Technology and Safety. In R. G. Hughes (Ed.), Patient safety and quality: An evidence-based handbook for nurses (pp. 207-220). Rockville.
28. Pulli, P., Hyry, J., Pouke, M. and Yamamoto, G. (2012). User Interaction In Smart Ambient Environment Targeted for Senior Citizen. Medical and Biological Engineering and Computing, 50(11), 1119–1126. https://doi.org/10.1007/s11517-012-0906-8
29. Rita Silva, A., Salome Pinho, M., Macedo, L.and JA Moulin, C. (2017). The cognitive effects of wearable cameras in Mild Alzheimer disease–An experimental study. Current Alzheimer Research, 14(12), 1270-1282.
30. Sopic, D., Aminifar, A., Aminifar, A. and Atienza, D. (2018). Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems. IEEE Transactions on Biomedical Circuits and Systems, 12(5), 982- 992.
31. Şimşir, İ. and Mete, B. (2021). Sağlık Hizmetlerinin Geleceği: Dijital Sağlık Teknolojileri. Journal of Innovative Healthcare Practices, 2(1), 33–39.
32. WHO. (2011). Global Health and Aging. National Institute on Aging. National Institutes of Health. U.S. Department of Health and Human Services (No. 11-7737). USA. NIH Publication.
33. WHO (2021). Ageing and Health. https://www.who.int/news-room/fact sheets/detail/ageing-andhealth.
34. Woodberry, E., Browne, G., Hodges, S., Watson, P., Kapur, N. and Woodberry, K. (2015). The Use of Wearable Camera Improves Autobiographical Memory in Patients with Alzheimer’s Disease. Memory, 23(3), 340–349. https://doi.org/10.1080/09658211.2014.886703
35. Wright, R. and Keith, L. (2014). Wearable Technology: If the Tech Fits, Wear It. Journal of Electronic Resources in Medical Libraries, 11(4), 204–216. https://doi.org/10.1080/15424065.2014.969051