Applications of Digital Technology for Elderly Health Care during the Spread of COVID-19 Pandemic
Main Article Content
Abstract
During the spread of COVID-19 pandemic situation, the Thai government has introduced several measures and policies to prevent the spread of the virus. These include restrictions to keep people at home, implement some limitations on travel and movements, promoting social distancing, as well as providing the elderly with care and support in body, mind, and society elements. Elderly people, however, are still considered as a vulnerable group receiving more adverse impacts than others. Applying digital technology to improve the healthcare of elderly people could, therefore, greatly alleviate the healthcare restrictions which are the effects of the preventive measures of COVID-19 pandemic. In addition, application of Information and Communication Technology: ICT in taking care of the elderly could benefit by predicting and designing lifestyle and healthcare patterns straightforwardly and effectively. Consequently, the healthcare patterns can be used as the foundation ideas for scaffolding and creating significant healthcare innovation for the elderly–designing suitable physical activities, managing stress, restful sleep, as well as introducing new healthy behaviours and lifestyles. Furthermore, applications of digital technology in elderly health care could greatly advantage elderly patients with chronic diseases in terms of obtaining medical advice from healthcare professionals, rehabilitation medicine, etc. Utilization of technology in constructing healthcare systems could decidedly help estimate and design healthcare guidelines for the elderly for other possible, further pandemics.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
-
Authors must agree to the journal publication rules and allow the editors to edit the manuscripts for publication.
-
Author’s right belongs to the author but Journal of Southern Technology holds the right of first publication and thus allow readers to use the article for the purpose of education but not commercial.
References
Ammar, A., Brach, M., Trabelsi, K., Chtourou, H., Boukhris, O., Masmoudi, L.,…Bouaziz, B. (2020). Effects of COVID-19 home confinement on eating behaviour and physical activity: results of the ECLB-COVID19 international online survey. Nutrients, 12(6), 1583.
Ammar, A., Chtourou, H., Boukhris, O., Trabelsi, K., Masmoudi, L., Brach, M.,. Hökelmann, A. (2020). COVID-19 Home Confinement negatively impacts social participation and life satisfaction: a worldwide multicenter study. International Journal of Environmental Research and Public Health, 17(17), 6237.
Ammar, A., Mueller, P., Trabelsi, K., Chtourou, H., Boukhris, O., Masmoudi, L., … Brach, M. (2020). Psychological Consequences of COVID-19 Home confinement:, The ECLB-COVID19 Multicenter Study. Retrieved August 3, 2021, from https://journals. plos. org/plosone/article?id=10.1371/journal.pone.0240204.
Ammar, A., Trabelsi, K., & Brach, M. (2021). Effects of home confinement on mental health and lifestyle behaviors during the COVID-19 outbreak: Insight from the ECLB-COVID19 multicenter study. Biol Sport, 38(1), 9–21.
Barrett, M., Boyne, J., & Brandts, J. (2019). Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalized care. EPMA Journal, (10), 445–464.
Berliner, L., Lemke, H.U., & van Sonnenberg, E. (2014). Model-guided therapy for hepatocellular carcinoma: a role for information technology in predictive, preventive and personalized medicine. EPMA Journal, 5(1), 16.
Bousquet, J., Carriazo, A., Farrell, J., & lllario, M. (2020). Widening the Support for large scale uptake of Digital Innovation for Active and Healthy Ageing. The Framework Programme for Research and Innovation. Sweden: WE4AHA.
Budd, J., Miller, B.S., Manning, E.M., Lampos, V., Zhuang, M., Edelstein, M.,... McKendry, A.R. (2020). Digital technologies in the publichealth response to COVID-19. Nature Medicine, 26(1), 183–1192.
CDC. (2020). Center for Disease Control and Prevention. Retrieved June 3, 2021, from https://www.cdc. gov/coronavirus/2019- ncov/need-extraprecautions/older-adults.
Department of Disease Control, Ministry of Public Health. (2020). Coronavirus Disease Situation Report 2019 Issue. Retrieved May 3, 2021, from https://ddc. Moph go th/viralp-neumonia/file/situation/ situation-no121-030563nn.pd
Eliopoulos, C. (2018). Gerontological Nursing (9th ed.). Philadelphia, PA: Wolters Kluwer Health/Lippincott Williams & Wilkins.
Haluza, D., & Jungwirth, D. (2015). ICT and the future of health care: aspects of health promotion. International Journal of Medical Informatics, 84(1), 48–57.
Khumsuwan, K. (2016). Implement Drive Cognitive Elderly Potential Thailand. Bangkok: Department of Older Persons is a department Ministry of Social Development and Human Security [in Thai]
Levasseur, M., Richard, L., Gauvin, L., & Raymond, É. (2018). Inventory and analysis of definitions of social participation found in the aging literature: Proposed taxonomy of social activities. Soc Sci Med, 71(12), 2141–2149.
NA Zhu, Dingyu Zhang, Wenling Wang, Xingwang Li, Bo Yang, Jingdong Song,…, Faxian Zhan. (2020). A Novel Coronavirus from patients with Pneumonia in China 2019. The New England Jouenal of Medicine. Retrieved July 24, 2021, from https://www.nejm.org/doi/ full/10.1056/NEJMoa2001017
Mahase, E. (2020). Covid-19: Mental Health Consequences of Pandemic Need Urgent Research. Retrieved August 3, 2021, from https://www.bmj.com/content/369/bmj.m1515
Radanliev, P., De Roure, D., & Walton, R. (2020). COVID-19 what have we learned? The rise of social machines and connected devices in pandemic management following the concepts of predictive, preventive and personalized medicine. EPMA J, (11), 311–332.
Stöckel, T., Wunsch, K., & Hughes, C.M.L. (2017). Age-Related decline in anticipatory motor planning and its relation to cognitive and motor skill proficiency. Frontiers in Aging Neuroscience, 4(9), 283.
Uthaithippaitoon, S. (2009). Elderly Care and Welfare in Somsak Chunharas (Editor). Elderly Annual Report 2008. Bangkok: TQ P [in Thai]
United Nations. (2013). World Population Ageing, 2013. New York: United Nations.
Vincent, J. A., Phillipson, C., & Downs, M. (2006). The Futures of Old Age. London: Sage Publications.
Whitelaw, S., Mamas, M.A., Topol, E., & Van Spall, H. (2020). Applications of digital technology in COVID-19 pandemic planning and response. Lancet Digital Technology, 2(8), E435-E440.
World Health Organization. (2020). Pneumonia of Unknown Cause–China’, Emergencies Preparedness, Response, Disease Outbreak News, World Health Organization (WHO).
World Health Organization. (2020a). Coronavirus Disease (COVID-19) Situation Report–104 Data as Received by WHO from National Authorities by 10:00 CEST. Retrieved July 30, 2021, from https: // www. who. int/ docs/default-source/coronaviruse/situation-eports/20200503-covid19-sitrep -104.pdf?sfvrsn=53328f46_2.
World Health Organization. (2020b). Coronavirus Disease 2019 (COVID 19) Situation Report by World Health Organization (WHO), Thailand, data from the Ministry of Public Health, Thailand. Retrieved July 1, 2021, from https: // www.who.int/docs/default-source/ searo/thailand/2020-0 5-0 1- tha-sitrep-69- covid19-th.pdf?sfvrsn= 11dff472_2.
Wu, B. (2020). Social isolation and loneliness among older adults in the context of COVID-19: a global challenge. Global Health Research and Policy, 5(5), 27.
Yodpet, S. (2006). Welfare for the Elderly. Bangkok: Thammasat [in Thai]