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Smart homes for the older population: particularly important during the COVID-19 outbreak
1
Rehabilitation Centre of the Central Clinical Hospital of the Ministry of the Internal Affairs and Administration in Warsaw, Poland
2
Clinical Department of Orthopaedics, Traumatology and Sports Medicine of the Central Clinical Hospital of the Ministry of the Internal Affairs and Administration in Warsaw, Poland
3
Faculty of Health Sciences, Medical University of Mazovia, Warsaw, Poland
Online publication date: 2021-09-08
Reumatologia 2021;(Konferencja Pacjent post-COVID-owy. Co zostaje, a co się zmienia? 1):41-46
KEYWORDS
ABSTRACT
Osteoporosis, one of the leading causes of disability in older adults, significantly reduces the quality of life and leads to loss of independence. Dynamic development of “smart” solutions based on artificial intelligence more and more commonly applied in older people’s houses may be an answer to the above issues.
The aim of this study is to present selected “smart home” solutions for the diagnosis and prevention of falls in the older population through a literature review. The conducted meta-analysis based on a review of the scientific literature available in English and Polish in the Medline/PubMed, Embase, Scopus, and GBL databases was undertaken from 01.01.2015 to 01.10.2020 with the string search method using key words.
According to the authors of this study, the development of new technology based on artificial intelligence allows older people to live independently, which contributes to a higher level of life satisfaction and quality.
The aim of this study is to present selected “smart home” solutions for the diagnosis and prevention of falls in the older population through a literature review. The conducted meta-analysis based on a review of the scientific literature available in English and Polish in the Medline/PubMed, Embase, Scopus, and GBL databases was undertaken from 01.01.2015 to 01.10.2020 with the string search method using key words.
According to the authors of this study, the development of new technology based on artificial intelligence allows older people to live independently, which contributes to a higher level of life satisfaction and quality.
REFERENCES (47)
1.
Gunay Ucurum S, Altas EU, Ozer Kaya D. Comparison of the spinal characteristics, postural stability and quality of life in women with and without osteoporosis. J Orthop Sci 2020: 25: P960–965, DOI: 10.1016/j.jos.2019.12.015.
2.
Raport „NFZ o zdrowiu. Osteoporoza”. Warszawa 2019. Retrieved on 05.10.2020 on: https://zdrowedane.nfz.gov.pl/....
3.
Czerwiński E, Czubak J, Synder M, et al. Contemporary Management of Osteoporotic Fractures. Ortop Traumatol Rehabil 2018; 20: 91–102, DOI: 10.5604/01.3001.0011.7665.
4.
Mohebi S, Torkaman G, Bahrami F, Darbani M. Postural instability and position of the center of pressure into the base of support in postmenopausal osteoporotic and nonosteoporotic women with and without hyperkyphosis. Arch Osteoporos 2019; 14: 58, DOI: 10.1007/s11657-019-0581-6.
5.
Zhu Y, Chen W, Xin X, et al. Epidemiologic characteristics of traumatic fractures in elderly patients during the outbreak of coronavirus disease 2019 in China. Int Orthop 2020; 44: 1565–1570, DOI: 10.1007/s00264-020-04575-0.
6.
Lv H, Zhang Q, Yin Y, et al. Epidemiologic characteristics of traumatic fractures during the outbreak of coronavirus disease 2019 (COVID-19) in China: A retrospective & comparative multi-center study. Injury 2020; 51: 1698–1704, DOI: 10.1016/j.injury.2020.06.022.
7.
Patel D, Ackermann RJ. Issues in Geriatric Care: Falls. Fp Essentials 2018; 468: 18–25.
8.
Global Report on Falls Prevention in Older Age. Organization GWH 2007; https://extranet.who.int/agefr... [Accessed 2020.03.18].
9.
Amarowicz J, Czerwiński E, Zając K, Kumorek A. Fracture Liaison Services – Polish Experience. Methods of Secondary Prevention of Osteoporotic Fractures. Ortop Traumatol Rehabil 2016; 18: 569–581, DOI: 10.5604/15093492.1230554.
10.
Kusz-Rynkun A, Żarnowska I. Sarcopenia and osteoporosis – cofactors of increased risk of falls and bone fractures. Post N Med 2017; 30: 11–15.
11.
Gawronska K, Lorkowski J. Upadki i starzenie się, a zdrowie publiczne – przegląd piśmiennictwa. Ortop Traumatol Rehabil 2021 [in press].
12.
Prabhakaran K, Gogna S, Pee S, et al. Falling Again? Falls in Geriatric Adults-Risk Factors and Outcomes Associated With Recidivism. J Surg Res 2020; 247: P66–76, DOI: 10.1016/j.jss. 2019.10.041.
13.
Chiu AS, Jean RA, Fleming M, Pei KY. Recurrent Falls Among Elderly Patients and the Impact of Anticoagulation Therapy. World J Surg 2018; 42: 3932–3938, DOI: 10.1007/s00268-018-4728-1.
14.
Niihata K, Fukuma S, Hiratsuka Y, et al. Association between vision-specific quality of life and falls in community-dwelling older adults: LOHAS. PLoS One 2018;13: e0195806, DOI: 10.1371/journal.pone.0195806.
15.
Leat SJ, Zecevic AA, Keeling A, et al. Prevalence of vision loss among hospital in-patients; a risk factor for falls? Ophthalmic Physiol Opt 2018; 38: 106–114, DOI: 10.1111/opo.12428.
16.
Jahn K. The Aging Vestibular System: Dizziness and Imbalance in the Elderly. Adv Otorhinolaryngol 2019; 82: 143–149, DOI: 10.1159/000490283.
17.
Dalgaard F, Pallisgaard JL, Numé AK, et al. Rate or Rhythm Control in Older Atrial Fibrillation Patients: Risk of Fall-Related Injuries and Syncope. J Am Geriatr Soc 2019; 67: 2023–2030, DOI: 10.1111/jgs.16062.
18.
Wołoszyn N, Wiśniowska-Szurlej A, Sozański B. An assessment of the relationship between the level of physical activity and the risk of falls and depression in elderly adults aged 60–75 years from the Podkarpackie region. Post Rehabil 2018; 32: 41–48, DOI: 10.5114/areh.2018.77936.
19.
Lorkowski J, Mrzygłód M, Kotela I, et al. Obuwie zgodne z „business dress code” a kondycja zdrowotna stóp kobiet – komputerowo wspomagana ocena holistyczna. Ann Acad Med Stetin 2013; 59: 118–128.
20.
Bartoszek A, Sagan A, Korga W, Szalast K. Falls among elderly and their connection with polypharmacy and polypragmasy. J Educ Health Sport 2018; 8: 667–673.
21.
Haasum Y, Johnell K. Use of antiepileptic drugs and risk of falls in old age: A systematic review. Epilepsy Res 2017; 138: 98–104, DOI: 10.1016/j.eplepsyres.2017.10.022.
22.
Tan MP, Tan GJ, Mat S, et al. Use of Medications with Anticholinergic Properties and the Long-Term Risk of Hospitalization for Falls and Fractures in the EPIC-Norfolk Longitudinal Cohort Study. Drugs Aging 2020; 37: 105–114, DOI:10.1007/s40266-019-00731-3.
23.
Cockayne S, Pighills A, Adamson J, et al. Can occupational therapist-led home environmental assessment prevent falls in older people? A modified cohort randomised controlled trial protocol. BMJ Open 2018; 8: e022488, DOI: 10.1136/bmjopen-2018-022488.
24.
Bartoszek A, Kocka K, Bartoszek A, et al. Wybrane czynniki ryzyka upadków wśród osób starszych mieszkających w środowisku wiejskim. J Educ Health Sport 2016; 6: 625–636, DOI: 10.5281/zenodo.61044.
25.
Blanchet R, Edwards N. A need to improve the assessment of environmental hazards for falls on stairs and in bathrooms: results of a scoping review. BMC Geriatr 2018; 18: 272, DOI: 10.1186/s12877-018-0958-1.
26.
Park J, Lee K, Lee K. Association between urinary urgency and falls among rural dwelling older women. J Adv Nurs 2020; 76: 846–855, DOI: 10.1111/jan.14284.
27.
Cuevas-Trisan R. Balance Problems and Fall Risk in the Elderly. Phys Med Rehabil Clin N Am 2017; 28: 727–737, DOI: 10.1016/j.pmr.2017.06.006.
28.
de Baat C, de Baat P, Gerritsen AE, et al. Risks, consequences, and prevention of falls of older people in oral healthcare centers. Spec Care Dentist 2017; 37: 71–77, DOI: 10.1111/scd.12212.
29.
Riquelme F, Espinoza C, Rodenas T, et al. eHomeSeniors Dataset: An Infrared Thermal Sensor Dataset for Automatic Fall Detection Research. Sensors (Basel) 2019; 19: 4565, DOI: 10.3390/s19204565.
30.
Porter AS, Harman S, Lakin JR. Power and perils of prediction in palliative care. Lancet 2020; 395: 680–681, DOI: 10.1016/S0140-6736(20)30318-4.
31.
Tsinganos P, Skodras A. On the Comparison of Wearable Sensor Data Fusion to a Single Sensor Machine Learning Technique in Fall Detection. Sensors (Basel) 2018; 18: 592, DOI: 10.3390/s18020592.
32.
Xiong GL, Bayen E, Nickels S, et al. Real-time video detection of falls in dementia care facility and reduced emergency care. Am J Manag Care 2019; 25: 314–315.
33.
Walsh L, Doyle J, Smith E, et al. Continuous real-world gait monitoring in community-based older adults. Annu Int Conf IEEE Eng Med Biol Soc 2015; 2015: 3719–3722, DOI: 10.1109/EMBC.2015.7319201.
34.
Collier S, Monette P, Hobbs K, et al. Mapping Movement: Applying Motion Measurement Technologies to the Psychiatric Care of Older Adults. Curr Psychiatry Rep 2018; 20: 64, DOI: 10.1007/s11920-018-0921-z.
35.
Sun R, Sosnoff JJ. Novel sensing technology in fall risk assessment in older adults: a systematic review. BMC Geriatr 2018; 18: 14, DOI: 10.1186/s12877-018-0706-6.
36.
de Miguel K, Brunete A, Hernando M, Gambao E. Home Camera-Based Fall Detection System for the Elderly. Sensors (Basel) 2017; 17: 2864, DOI: 10.3390/s17122864.
37.
Bailey C, Aitken D, Wilson G, et al. “What? That’s for Old People, that.” Home Adaptations, Ageing and Stigmatisation: A Qualitative Inquiry. Int J Environ Res Public Health 2019; 16: 4989, DOI: 10.3390/ijerph16244989.
38.
Materiały konferencyjne: Architektura i przestrzeń przyjazna seniorom. Narodowy Instytut Zdrowia Publicznego – Państwowy Zakład Higieny, Warszawa 27.11.2018.
39.
Pripfl J, Körtner T, Batko-Klein D, et al. Social service robots to support independent living : Experiences from a field trial. Z Gerontol Geriatr 2016; 49: 282–287, DOI: 10.1007/s00391-016-1067-4.
40.
Luz C, Bush T, Shen X. Do Canes or Walkers Make Any Difference? Non Use and Fall Injuries. Gerontologist 2017; 57: 211–218, DOI: 10.1093/geront/gnv096.
41.
Amini A, Banitsas K, Young WR. Kinect4FOG: monitoring and improving mobility in people with Parkinson’s using a novel system incorporating the Microsoft Kinect v2. Disabil Rehabil Assist Technol 2019; 14: 566–573, DOI: 10.1080/17483107. 2018.1467975.
42.
Costa SE, Rodrigues JJ, Silva BM, et al. Integration of Wearable Solutions in AAL Environments with Mobility Support. J Med Syst 2015; 39: 184, DOI: 10.1007/s10916-015-0342-z.
43.
Tutak JS, K. Urządzenie do bezprzewodowej diagnostyki stanu zdrowia osoby starszej. Acta Bio-Optica Inf Med Inż Biomed 2016; 22: 37–43.
44.
Wilson G, Aitken D, Hodgson P, Bailey C. The hidden impact of home adaptations: Using a wearable camera to explore lived experiences and taken-for-granted behaviours. Health Soc Care Community 2019; 27: 1469–1480, DOI: 10.1111/hsc.12818.
45.
Lee SJ, Sanford J, Calkins M, et al. Beyond ADA Accessibility Requirements: Meeting Seniors’ Needs for Toilet Transfers. HERD 2018; 11: 32–44, DOI: 10.1177/1937586717730338.
46.
King EC, Novak AC. Effect of Bathroom Aids and Age on Balance Control During Bathing Transfers. Am J Occup Ther 2017; 71: 7106165030p1–7106165030p9, DOI: 10.5014/ajot.2017.027136.
47.
Kennedy MJ, Arcelus A, Guitard P, et al. Toilet Grab-Bar Preference and Center of Pressure Deviation During Toilet Transfers in Healthy Seniors, Seniors With Hip Replacements, and Seniors Having Suffered a Stroke. Assist Technol 2015; 27: 78–87, DOI: 10.1080/10400435.2014.976799.
Copyright: © Narodowy Instytut Geriatrii, Reumatologii i Rehabilitacji w Warszawie. This is an Open Access journal, all articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (https://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
| eISSN: | 2084-9834 |
| ISSN: | 0034-6233 |
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