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Knowledge Structure and Evolution of Elderly Care Services: A Visualized Analysis

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DOI: 10.23977/socsam.2023.040306 | Downloads: 31 | Views: 480

Author(s)

Yalong Wei 1,2

Affiliation(s)

1 School of Management, Hefei University of Technology, Hefei, 230009, China
2 Anhui Kangsui Health Technology Co., Ltd., Hefei, 230071, China

Corresponding Author

Yalong Wei

ABSTRACT

The irreversible global aging trend brings a rapid growth in demand for elderly care services, which also promotes the rapid development of relevant research, but there lacks a holistic review on it. This paper aims to conduct an analysis to reveal research hotspots and future directions with a visual display. The "Web of Science Core Collection" database is searched, and CiteSpace software is used to sort out the characteristics of related research and draw a scientific map of keywords clustering. Elderly care services research has obtained continuous attention for a long time and rapidly developed since 2017. Based on the keywords clustering, focuses of the research can be divided into five categories, namely care goals, basic pension models, innovation and provision of elderly services, as well as the demands of special elderly groups. It can be seen from keywords with strong burst that research frontiers contain care goal, endowment service institutions, frailty of the elderly, work of supply entities, and service for the aged in China. This paper proposes three directions for future research, including a multidimensional dynamic measurement of elders' demands, the interaction between elders' behavioral characteristics and services for them, and an integrated pension model combine actual contexts and novel technologies. 

KEYWORDS

Elderly care services, healthcare, pension service, evolution, visual analysis

CITE THIS PAPER

Yalong Wei, Knowledge Structure and Evolution of Elderly Care Services: A Visualized Analysis. Social Security and Administration Management (2023) Vol. 4: 39-53. DOI: http://dx.doi.org/10.23977/socsam.2023.040306.

REFERENCES

[1] United Nations Department of Economic and Social Affairs, Population Division. World Population Prospects 2022: Summary of Results. 2022. 
[2] Cui X., Chang C. Matching and coordination among elderly services, aging, and economy in China, Mathematical Problems in Engineering 2021, 2021. 
[3] Arvelo E., de Armas J., Guillen M. Assessing the Distribution of Elderly Requiring Care: A Case Study on the Residents in Barcelona and the Impact of COVID-19. Int. J. Environ. Res. Public Health 2020, 17, 7486. 
[4] Alders P., Schut F. Trends in ageing and ageing-in-place and the future market for institutional care: Scenarios and policy implications. Health Economics, Policy and Law 2019, 14(1), 82-100. 
[5] Uittenbroek R., Reijneveld S., Stewart R. et al. Development and psychometric evaluation of a measure to evaluate the quality of integrated care: the patient assessment of integrated elderly care. Health Expectations 2016, 19, 962-972. 
[6] Åkerlind C., Martin L., Gustafsson C. Care managers' perceptions of e-Homecare: a qualitative interview study. European Journal of Social Work 2019, 22, 634-646. 
[7] Baldissera T., Camarinha-Matos L. SCoPE: service composition and personalization environment. Applied Sciences 2018, 8, 2297. 
[8] Yang Z., Xia S., Feng S. Network information security platform based on artificial intelligence for the elderly's health “Integration of physical, medical, and nursing care”. Computational and Mathematical Methods in Medicine 2022, 2022. 
[9] Van der Dam S., Molewijk B., Widdershoven G., Abam T. Ethics support in institutional elderly care: a review of the literature. Journal of Medical Ethics 2014, 40, 625-631. 
[10] Martinez-Martin E., Costa A. Assistive technology for elderly care: an overview. IEEE Access 2021, 9, 92420-92430. 
[11] Boggatz T., Dassen T. Ageing, care dependency, and care for older people in Egypt: a review of the literature. Journal of Clinical Nursing 2005, 14, 56-63. 
[12] Chen C., Hu Z., Liu S., Tseng H. Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace. Expert Opinion on Biological Therapy 2012, 12, 593-608. 
[13] Chen C. Science mapping: a systematic review of the literature. Journal of Data and Information Science 2017, 2, 1-40. 
[14] Long D., Xie Y., Wei Y., Zheng J. Where does digital entrepreneurship go? A review based on a scientific knowledge map. Mobile Information Systems 2022, 2022. 
[15] Zhai Z., Shan M., Darko A., Le Y. Visualizing the knowledge domain of project governance: a scientometric review. Advances in Civil Engineering 2020, 2020. 
[16] Josefsson K., Sonde L., Winblad B., Wahlin T. Work situation of registered nurses in municipal elderly care in Sweden: a questionnaire survey. International Journal of Nursing Studies 2007, 44, 71-82. 
[17] Shao Q., Yuan J., Lin J. et al. A SBM-DEA based performance evaluation and optimization for social organizations participating in community and home-based elderly care services. Plos One 2021, 16. 
[18] Uittenbroek R., Reijneveld S., Stewart R. et al. Development and psychometric evaluation of a measure to evaluate the quality of integrated care: the patient assessment of integrated elderly care. Health Expectations 2016, 19, 962-972. 
[19] Pekkarinen S., Melkas H. Welfare state transition in the making: focus on the niche-regime interaction in Finnish elderly care services. Technological Forecasting and Social Change 2019, 145, 240-253. 
[20] Koceski S., Koceska N. Evaluation of an assistive telepresence robot for elderly healthcare. Journal of Medical Systems 2016, 40, 1-7. 
[21] Van der Steen J., Gijsberts M., Hertogh C., Deliens L. Predictors of spiritual care provision for patients with dementia at the end of life as perceived by physicians: a prospective study. BMC Palliative Care 2014, 13, 1-17. 
[22] Song H., Yu S., Liu F., Sun X., Sun T. Optimal subsidy support for market-oriented transformation of elderly care: focus on the gap between supply and demand in aging regions of China. Healthcare 2020, 8. 
[23] Song H., Ji K., Sun T. Subsidy policy selection of elderly care service projects under uncertain actual demand: a real options analysis based on China’s experience. BMC Geriatrics 2022, 22, 1-13. 
[24] Lawton M., Moss M., Winter L., Hoffman C. Motivation in later life: personal projects and well-being. Psychology and Aging 2002, 17, 539-547. 
[25] Graneheim U., Lundman B. Experiences of loneliness among the very old: the Umeå 85+ project. Aging & Mental Health 2010, 14, 433-438. 
[26] Fried L., Rowe J. Health in aging-past, present, and future. New England Journal of Medicine 2020, 383, 1293-1296. 
[27] Brookes B. The Bradford law: a new calculus for the social sciences? Journal of the American Society for Information Science (pre-1986) 1979, 30, 233-233. 
[28] Antonsson H., Korjonen S., Rosengren K. First‐line managers' experiences of alternative modes of funding in elderly care in Sweden. Journal of Nursing Management 2012, 20, 737-747.  
[29] Corlin T., Kajonius P., Kazemi A. The impact of personality on person‐centred care: a study of care staff in Swedish nursing homes. International Journal of Older People Nursing 2017, 12. 
[30] Grol S., Molleman G., van Heumen N. et al. General practitioners' views on the influence of long-term care reforms on integrated elderly care in the Netherlands: a qualitative interview study. Health Policy 2021, 125, 930-940. 
[31] Bökberg C., Behm L., Wallerstedt B., Ahlström G. Evaluating person‐centredness for frail older persons in nursing homes before and after implementing a palliative care intervention. Nursing Open 2020, 7, 439-448. 
[32] Sköldunger A., Sandman P., Backman A. Exploring person-centred care in relation to resource utilization, resident quality of life and staff job strain-findings from the SWENIS study. BMC Geriatrics 2020, 20, 1-9. 
[33] Hu J., Zhang Y., Wang L., Shi V. An Evaluation Index System of Basic Elderly Care Services Based on the Perspective of Accessibility. Int. J. Environ. Res. Public Health 2022, 19, 4256. 
[34] Xu L., Zhang Y., Wei Y. Evaluation and analysis of smart community elderly care service quality based on the two-stage decision model with grey synthetic measures under hesitant fuzzy situation. Journal of Grey System 2021, 33. 
[35] Li C., Wang Y., Li D., Chu D., Ma M. An effective method of evaluating pension service quality using multi-dimension attention convolutional neural networks. International Journal of Software Engineering and Knowledge Engineering 2021, 31, 533-543. 
[36] Ma H., Wang M., Yang B. Research on urban community elderly care facility based on quality of life by SEM: cases study of three types of communities in Shenzhen, China. Sustainability 2022, 14, 9661. 
[37] Gu T., Yuan J., Li L., Shao Q., Zheng C. Demand for community-based care services and its influencing factors among the elderly in affordable housing communities: a case study in Nanjing City. BMC Health Services Research 2020, 20, 1-13. 
[38] Shi J., Hua W., Tang D., Xu K., Xu Q. A study on supply-demand satisfaction of community-based senior care combined with the psychological perception of the elderly. Healthcare 2021, 9, 643. 
[39] Wang B., Xu L. Construction of the “Internet plus” community smart elderly care service platform. Journal of Healthcare Engineering 2021, 2021. 
[40] Yang Z., Jiang Y., Wang M., Zeng H. Current status and challenges of community-based elderly care centers in Chongqing, China: a cross-sectional study. Risk Management and Healthcare Policy 2020, 13, 2975-2983. 
[41] Liu J., Yuan X., Yin L., Wei H., Ma X. Research on the comprehensive management model of ecological environment of wisdom community elderly under ‘Internet plus’. Fresenius Environmental Bulletin 2022, 31, 3766-3773. 
[42] Wang C., Zhang F., Pan C. et al. The willingness of the elderly to choose nursing care: evidence from in China. Frontiers in Psychology 2022, 13, 865276. 
[43] Yang C., Wang W., Li F., Yang D. A sustainable, interactive elderly healthcare system for nursing homes: an interdisciplinary design. Sustainability 2022, 14, 4204. 
[44] Wright J. Robots vs migrants? Reconfiguring the future of Japanese institutional eldercare. Critical Asian Studies 2019, 51, 331-354. 
[45] Chen R., Dai F., Yang H. et al. Caring behaviours perceived by elderly residents and their associated factors in nursing homes in Zhengzhou city of China: a qualitative study. Health & Social Care in the Community 2021, 29, 126-134. 
[46] Piers R., Albers G., Gilissen J. et al. Advance care planning in dementia: recommendations for healthcare professionals. BMC Palliative Care 2018, 17, 1-17. 
[47] Aasmul I., Husebo B., Flo E. Description of an advance care planning intervention in nursing homes: outcomes of the process evaluation. BMC Geriatrics 2018, 18, 1-11. 
[48] Zhao R., Zhou H., Zhu J. Status quo and needs analysis of health services among elderly urban residents in the developing and ageing Chongqing. International Journal of Clinical and Experimental Medicine 2019, 12, 12538-12544. 
[49] Jiang L., Li Z. Research on influencing factors of elderly care institutions' choice intention based on artificial intelligence and embedded system. Journal of Ambient Intelligence and Humanized Computing 2021, 1-12. 
[50] Lu J., He T., Wei G., Wu J., Wei C. Cumulative Prospect Theory: Performance Evaluation of Government Purchases of Home-Based Elderly-Care Services Using the Pythagorean 2-tuple Linguistic TODIM Method. Int. J. Environ. Res. Public Health 2020, 17, 1939. 
[51] Xu L., Zhang Y. A quality function deployment-based resource allocation approach for elderly care service: perspective of government procurement of public service. International Social Work 2021, 64, 992-1008. 
[52] Lu Z., Zhang Y., Xu L. Anti-risk ability of government purchasing elderly care services under the coordination of complex network and GERT. Mathematical Problems in Engineering 2022, 2022, 9199998. 
[53] Akiyama M., Abraham C. Comparative cost-benefit analysis of Tele-homecare for community-dwelling elderly in Japan: non-government versus government supported funding models. International Journal of Medical Informatics 2017, 104, 1-9. 
[54] Aung T. N. N., Aung M. N., Moolphate S., Koyanagi Y., Ichikawa M., Supakankunti S., Yuasa M. Estimating Service Demand for Intermediary Care at a Community Integrated Intermediary Care Center among Family Caregivers of Older Adults Residing in Chiang Mai, Northern Thailand. Int. J. Environ. Res. Public Health 2021, 18, 6087. 
[55] Wang Z., Li H., Wang X. et al. Situation of integrated eldercare services with medical care in China. Indian Journal of Pharmaceutical Sciences 2021, 83, 140-152. 
[56] Tian X. Research on the realization path of smart old-age care in Suzhou based on intelligent recommendation system. Journal of Intelligent & Fuzzy Systems 2018, 35, 3051-3063. 
[57] Feng C. Research on mathematical model of smart service for the elderly in small-and medium-sized cities based on image processing. Scientific Programming 2021, 2021, 1023187. 
[58] Zhang C., Liang C., Zhang C., Ma Y. Symbiosis evolution model and behaviour of multiple resource agents in the smart elderly care service ecosystem. Symmetry 2021, 13, 570. 
[59] Meng Q., Hong Z., Li Z. et al. Opportunities and challenges for Chinese elderly care industry in smart environment based on occupants' needs and preferences. Frontiers in Psychology 2020, 11, 1029. 
[60] Wu S. Design of intelligent nursing system based on artificial intelligence. Journal of Sensors 2022, 2022, 7427968. 
[61] Shi T., Xiao H., Han F., Chen L., Shi J. A Regulatory Game Analysis of Smart Aging Platforms Considering Privacy Protection. Int. J. Environ. Res. Public Health 2022, 19, 5778. 
[62] Hao G., Sun Q., Han P. Research on optimization path of intelligent pension industry based on intelligent fusion algorithm of multisource information. Scientific Programming 2021, 2021, 6193743. 
[63] Yiu H., Zang Y., Chau J. Barriers and facilitators in the use of formal dementia care for dementia sufferers: a qualitative study with Chinese family caregivers in Hong Kong. Geriatric Nursing 2020, 41, 885-890. 
[64] Lee Y., Sousa T., Stretton‐Smith P. et al. Demographic and clinical profile of residents living with dementia and depressive symptoms in Australian private residential aged care: data from the music interventions for dementia and depression in elderly care (MIDDEL) cluster‐randomised controlled trial. Australasian Journal on Ageing 2022, 41, e387-e396. 
[65] Smaling H., Joling K., Van de Ven P. et al. Effects of the Namaste care family programme on quality of life of nursing home residents with advanced dementia and on family caregiving experiences: study protocol of a cluster-randomised controlled trial. BMJ Open 2018, 8, e025411. 
[66] Shibata T., Wada K. Robot therapy: a new approach for mental healthcare of the elderly-a mini-review. Gerontology 2011, 57, 378-386. 
[67] Stavropoulos T., Papastergiou A., Mpaltadoros L., Nikolopoulos S., Kompatsiaris I. IoT wearable sensors and devices in elderly care: a literature review. Sensors 2020, 20, 2826. 
[68] Hung J. Policy Development on Upskilling/Reskilling Older Population Care Staff in China. Int. J. Environ. Res. Public Health 2022, 19, 9440. 
[69] Amar S., Biderman A., Carmel S., Bachner Y. Elderly caregivers’ awareness of caregiving health risks. Healthcare 2022, 10, 1034. 
[70] Fernandes M., Soares S. The development of public policies for elderly care in Brazil. Revista da Escola de Enfermagem da USP 2012, 46, 1494-1502. 
[71] Liu R., Du M., Shen J., Wang X., Jiang Y. Research on geriatric care for equalizing the topological layout of health care infrastructure networks. Journal of Healthcare Engineering 2021, 2021, 8306479. 
[72] Li X., Yang A., Yan H. Priorities and instruments of local elderly care policies in China: text mining and comparative analysis. Frontiers in Public Health 2021, 23, 647670. 
[73] Schwiter K., Berndt C., Truong J. Neoliberal austerity and the marketisation of elderly care. Social & Cultural Geography 2018, 19, 379-399. 
[74] Jiang T., He Z., Xiang G., Hu T. The impact of government subsidies on private pension enterprises: a decision-making model based on their CSR levels. IEEE Access 2021, 9, 167190-167203. 
[75] Song H., Yu S., Sun T. Reducing the quality risk of elderly care services in government procurement from market-oriented private providers through ex ante policy design: lessons from the principal-agent theory analysis. BMC Health Services Research 2020, 20, 1-11. 
[76] Băjenaru L., Marinescu I., Dobre C. et al. Identifying the needs of older people for personalized assistive solutions in Romanian healthcare system. Studies in Informatics and Control 2020, 29, 363-372. 
[77] Liang C., Gu D., Tao F. et al. Influence of mechanism of patient-accessible hospital information system implementation on doctor-patient relationships: a service fairness perspective. Information & Management 2017, 54, 57-72. 
[78] Halbmayer K., Hollands J., Alasu S., Korjenic A., Pichler B., Reitinger E., Zojer E., Knoll B., Renkin A., Dopheide R. GREEN: Cool & Care—Research and Development of Greening Measures in Nursing Homes in Austria. Technical and Social Interconnections. Sustainability 2021, 13, 11469. 
[79] Bernoth M., Dietsch E., Davies C. 'Two dead frankfurts and a blob of sauce': the serendipity of receiving nutrition and hydration in Australian residential aged care. Collegian 2014, 21, 171-177. 
[80] Tse M., Lai C., Lui J., Kwong E., Yeung S. Frailty, pain and psychological variables among older adults living in Hong Kong nursing homes: can we do better to address multimorbidities? Journal of Psychiatric and Mental Health Nursing 2016, 23, 303-311. 
[81] Eslami S., Askari M., Medlock S. et al. From assessment to improvement of elderly care in general practice using decision support to increase adherence to ACOVE quality indicators: study protocol for randomized control trial. Trials 2014, 15, 1-9. 
[82] Bao J., Zhou L., Liu G. et al. Current state of care for the elderly in China in the context of an aging population. BioScience Trends 2022, 16, 107-118. 

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