Can we manage frailty at individual level by the use of information and communication technologies: a narrative literature review
Abstract
An increase in age-related disability and dependence is an almost inevitable consequence of population ageing, whereas frailty seems to be highly prevalent among older adults with prevalence ranging from 5 % to more than 45 %. Among the potential ways to face the challenges of ageing society are healthcare services supported by the use of information and communication technologies. The aim of this research was to define the information and communication technologies used to support the management of frailty, its effects and related challenges within joint action Advantage. A narrative literature review of peer-reviewed literature, using PubMed, Cochrane, Embase, Cinahl and UpToDate databases was carried out. The search resulted in a total of 124634 articles. After excluding duplicates and taking into account inclusion and exclusion criteria, 33 sources remained for analysis. The results indicate multidimensional usage of information and communication technologies and show that a wide range of potentially beneficial information and communication technology solutions have been developed, covering prevention, screening, diagnosis, treatment and monitoring to enable older adults to remain independent at home, support caregivers, facilitate remote monitoring and self-management, provide decision support, improve information sharing and coordination of services, support daily activities etc. Many information and communication technologies have a potential to prevent and manage frailty, especially in the domain of physical activity and exercise, social resources and psychological state, falls prevention, support to daily activities and overall well-being. However, there is a lack of evidence on the outcomes of information and communication technologies’ use related to older adults, and their adoption and implementation seem to remain problematic as well. Therefore, strategic approach should be used to support further research as well as to address and foster implementation and (wider) adoption of health-related information and communication technologies.
Downloads
References
2. Kelaiditi E. Frailty and Novel Technologies - A Step Ahead. In: Vellas B., ed. White book on frailty. Chengdu, China: Center of gerontology and geriatrics, West China Hospital, Sichuan University; 2016. p. 140-2.
3. Rodríguez-Mañas L, Féart C, Mann G, Viña J, Chatterji S, Chodzko-Zajko W, et al. Searching for an operational definition of frailty: A delphi method based consensus statement. The frailty operative definition-consensus conference project. J Gerontol Ser A Biol Sci Med Sci. 2013;68(1):62-7. doi: 10.1093/gerona/gls119.
4. Veninšek G, Gabrovec B. Management of frailty at individual level - clinical management: systematic literature review. Zdr Varst. 2018;57(2):110-8. doi: 10.2478/sjph-2018-0014.
5. Vollenbroek-Hutten M, Jansen-Kosterink S, Tabak M, Feletti LC, Zia G, N’dja A, et al. Possibilities of ICT-supported services in the clinical management of older adults. Aging Clin Exp Res. 2017;29(1):49-57. doi: 10.1007/s40520-016-0711-6.
6. Beard JR, Bloom DE. Towards a comprehensive public health response to population ageing. Lancet (London, England). 2015;385(9968):658–61. doi: 10.1016/S0140-6736(14)61461-6.
7. Keränen NS, Kangas M, Immonen M, Similä H, Enwald H, Korpelainen R, et al. Use of information and communication technologies among older people with and without frailty: A population-based survey. J Med Internet Res. 2017;19(2):e29. doi: 10.2196/jmir.5507.
8. Chang JY, Chen LK, Chang CC. Perspectives and expectations for telemedicine opportunities from families of nursing home residents and caregivers in nursing homes. Int J Med Inform. 2009;78(7):494-502. doi: 10.1016/j.ijmedinf.2009.02.009.
9. Stolee P, Steeves B, Glenny C, Filsinger S. The use of electronic health information systems in home care: facilitators and barriers. Home Healthc Nurse. 2010;28(3):167-81. doi: 10.1097/01.NHH.0000369769.32246.92.
10. Jansen - Kosterink S, Vollenbroek - Hutten MM, Hermens HJ. A renewed framework for the evaluation of telemedicine. In: eTELEMED 2016 - The eighth international conference on ehealth, telemedicine, and social medicine. Venice, Italy: IARIA XPS Press; 2016. p. 57-62. [Cited 2017 May 24]. Available from: https://www.thinkmind.org/index.php?view=instance&instance=eTELEMED+2016.
11. Peruzzini M, Germani M. Designing a user-centred ICT platform for active aging. In: 2014 IEEE/ASME - 10th international conference on mechatronic and embedded systems and applications (MESA). Senigallia, Italy: IEEE; 2014. p. 1-6. doi: 10.1109/MESA.2014.6935624.
12. Heart T, Kalderon E. Older adults: are they ready to adopt health-related ICT? Int J Med Inform. 2013;82(11):e209-31. doi: 10.1016/j.ijmedinf.2011.03.002.
13. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Int J Surg. 2010;8(5):336-41. doi: 10.1371/journal.pmed.1000097.
14. Rogante M, Grigioni M, Cordella D, Giacomozzi C. Ten years of telerehabilitation: A literature overview of technologies and clinical applications. NeuroRehabilitation. 2010;27(4):287-304. doi: 10.3233/NRE-2010-0612.
15. Niehaves B, Plattfaut R. Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide. Eur J Inf Syst. 2014;23(6):708-26. doi: 10.1057/ejis.2013.19.
16. Senior TV. [Cited 2017 May 13]. Available from: www.aal-europe.eu/projects/senior-tv.
17. Rogers NT, Marshall A, Roberts CH, Demakakos P, Steptoe A, Scholes S. Physical activity and trajectories of frailty among older adults: evidence from the English longitudinal study of ageing. PLoS One. 2017;12(2):e0170878. doi: 10.1371/journal.pone.0170878.
18. Binder EF, Schechtman KB, Ehsani AA, Steger-May K, Brown M, Sinacore DR, et al. Effects of exercise training on frailty in community-dwelling older adults: results of a randomized, controlled trial. J Am Geriatr Soc. 2003;50:1921-8. doi: 10.1046/j.1532-5415.2002.50601.x.
19. Cadore EL, Casas-Herrero A, Zambom-Ferraresi F, Idoate F, Millor N, Gómez M, et al. Multicomponent exercises including muscle power training enhance muscle mass, power output, and functional outcomes in institutionalized frail nonagenarians. Age (Dordr). 2014;36(2):773-85. doi: 10.1007/s11357-013-9586-z.
20. Claude Vincent, Deaudelin I, Robichaud L, Rousseau J, Viscogliosi C, Talbot LR, et al. Rehabilitation needs for older adults with stroke living at home: perceptions of four populations. BMC Geriatr. 2007;7:20. doi: 10.1186/1471-2318-7-20.
21. Barelle C, Tsirbas C, Ibanez F, Vellidou E, Tagaris T, Koutsouri G, et al. KINOPTIM: a tele-rehabilitation gaming platform for fall prevention in the elderly community. Int J Health Res Innov. 2014;2(1):37-49.
22. Lindenberger U, Lovden M, Schellenbach M, C. LS, A. K. Psychological principles of successful aging technologies: a mini-review. Gerontology. 2008;54(1):59-68. doi: 10.1159/000116114.
23. Baltes PB, Staudinger UM, Lindenberger U. Lifespan psychology: theory and application to intellectual functioning. Annu Rev Psychol. 1999;50:471-507. doi: 10.1146/annurev.psych.50.1.471
24. Nicholson NR. A review of social isolation: an important but underassessed condition in older adults. J Prim Prev. 2012;33(2–3):137-52. doi: 10.1007/s10935-012-0271-2.
25. Chen YRR, Schulz PJ. The effect of information communication technology interventions on reducing social isolation in the elderly: a systematic review. J Med Internet Res. 2016;18(1):e18. doi: 10.2196/jmir.4596.
26. Ogonowski C, Aal K, Vaziri D, Rekowski T Von, Randall D, Schreiber D, et al. ICT-based fall prevention system for older adults: qualitative results from a long-term field study. ACM Trans Comput Interact. 2016;23(5):29. doi: 10.1145/2967102.
27. Lexis M, Everink I, van der Heide L, Spreeuwenberg M, Willems C, de Witte L. Activity monitoring technology to support homecare delivery to frail and psychogeriatric elderly persons living at home alone. Technol Disabil. 2013;25(3):189-97. doi: 10.3233/TAD-130377.
28. Wiles JL, Leibing A, Guberman N, Reeve J, Allen RE. The meaning of “aging in place” to older people. Gerontologist. 2012;52(3):357-66. doi: 10.1093/geront/gnr098.
29. Tomita MR, Russ LS, Sridhar R, Naughton M. BJ. Smart home with healthcare technologies for community-dwelling older adults. In: Mahmoud AQ, ed. Smart home systems. IntechOpen; 2010. doi: 10.5772/8411.
30. Tomita MR, Mann WC, Stanton K, Tomita AD, Sundar V. Use of currently available smart home technology by frail elders: process and outcomes. Top Geriatr Rehab. 2007; 23(1):24-34. doi: 10.1097/00013614-200701000-00005.
31. Pietrzak E, Cotea C, Pullman S. Does smart home technology prevent falls in community-dwelling older adults: a literature review. Inform Prim Care. 2014;21(3):105-12. doi: 10.14236/jhi.v21i3.64.
32. Kostopoulos P, Kyritsis AI, Deriaz M, Konstantas D. F2D: A location aware fall detection system tested with real data from daily life of elderly people. Proc Comp Sci. 2016;98: 212-219. doi: 10.1016/j.procs.2016.09.035.
33. Gjoreski H, Bizjak J, Gams M. Using smartwatch as telecare and fall detection device. In: 12th international conference on intelligent environments (IE). London, UK: IEEE, 2016:242-5. doi: 0.1109/IE.2016.55.
34. Ritt M, Schülein S, Lubrich H, Bollheimer LC, Sieber CC, Gaßmann KG. High-technology based gait assessment in frail people: associations between spatio-temporal and three-dimensional gait characteristics with frailty status across four different frailty measures. J Nutr Health Aging. 2017;21(3):346-53. doi: 10.1007/s12603-016-0764-4.
35. Schwenk M, Mohler J, Wendel C, D’Huyvetter K, Fain M, Taylor-Piliae R, et al. Wearable sensor-based in-home assessment of gait, balance, and physical activity for discrimination of frailty status: baseline results of the Arizona frailty cohort study. Gerontology. 2015;61(3):258-67. doi: 10.1159/000369095.
36. Wang C, Wang X, Long Z, Yuan J, Qian Y, Li J. Estimation of temporal gait parameters using a wearable microphone-sensor-based system. Sensors. 2016;16:2167. doi: 10.3390/s16122167.
37. Fontecha J, Navarro FJ, Hervás R, Bravo J. Elderly frailty detection by using accelerometer-enabled smartphones and clinical information records. Pers Ubiquitous Comput. 2013;17(6):1073-83. doi: 10.1007/s00779-012-0559-5.
38. Merino M, Marqués M, Egurbide M, Romo M, Rodríguez I, García M, et al. Deploying integrated care models for frail elderly patients. Int J Integr Care. 2015;15(5). doi: 10.5334/ijic.2119.
39. Barlow J, Singh D, Bayer S, Curry R. A systematic review of the benefits of home telecare for frail elderly people and those with long-term conditions. J Telemed Telecare. 2007;13(4):172-9. doi: 10.1258/135763307780908058.
40. Caballero-Ruiz E, García-Sáez G, Rigla M, Villaplana M, Pons B, Hernando ME. A web-based clinical decision support system for gestational diabetes: automatic diet prescription and detection of insulin needs. Int J Med Inf. 2017;102:35-49. doi: 10.1016/j.ijmedinf.2017.02.014.
41. Versleijen M, Martin-Khan MG, Whitty JA, Smith AC, Gray LC. A telegeriatric service in a small rural hospital: A case study and cost analysis. J Telemed Telecare. 2015;8:459-68. doi: 10.1177/1357633X15611327.
42. Smith AC, Gray LC. Telemedicine across the ages. Med J Aust. 2009;190(1):15-9.
Copyright (c) 2019 Slovenian Medical Journal
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The Author transfers to the Publisher (Zdravniški vestnik/Slovenian Medical Journal) all economic copyrights following form Article 22 of the Slovene Copyright and Related Rights Act (ZASP), including the right of reproduction, the right of distribution, the rental right, the right of public performance, the right of public transmission, the right of public communication by means of phonograms and videograms, the right of public presentation, the right of broadcasting, the right of rebroadcasting, the right of secondary broadcasting, the right of communication to the public, the right of transformation, the right of audiovisual adaptation and all other rights of the author according to ZASP.
The aforementioned rights are transferred non-exclusively, for an unlimited number of editions, for the term of the statutory
The Author can make use of his work himself or transfer subjective rights to others only after 3 months from date of first publishing in the journal Zdravniški vestnik/Slovenian Medical Journal.
The Publisher (Zdravniški vestnik/Slovenian Medical Journal) has the right to transfer the rights, acquired parties without explicit consent of the Author.
The Author consents that the Article be published under the Creative Commons BY-NC 4.0 (attribution-non-commercial) or comparable licence.