Smart moves for an aging population

Josephsen, Samuel R.; Fritz, Robert B.

doi:10.1111/jgs.17100

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…The US is the world's largest smart healthcare market. Many of the world's smart healthcare devices are produced in the US, and the application of smart healthcare in the US elderly population is relatively mature [21]. In addition to the total number of citations, the average number of citations per article is an important indicator of the quality of a publication [22].…”

Section: Discussionmentioning

confidence: 99%

Global Trends in the Study of Smart Healthcare Systems for the Elderly: Artificial Intelligence Solutions

Zhu

Yang

Xin-fa

2023

Int J Comput Intell Syst

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Smart healthcare systems have received increasing attention in recent years; however, a bibliometric analysis of the research on smart healthcare systems for the elderly is lacking. This study aimed to identify scientific results and emerging themes related to smart healthcare systems for older adults. Articles and reviews related to smart healthcare systems for older adults, published between 2013 and 2022, were obtained from the Web of Science Core Collection database using a keyword search. Data collected included the number of publications per year, country/region, institution, author, journal, reference, citation frequency, and keywords. Bibliometric analysis and visualization were performed using the scientometric software VOSviewer and CiteSpace, as well as the bibliometric online analysis platform. In total, 486 articles were retrieved. The number of papers in the field of smart healthcare systems research for older adults has increased every year since 2013. China and the US led in both the number of papers published and total citations. King Saud University was the most prolific institution, while Deen published the highest number of articles and had the highest number of citations. Papers related to smart healthcare systems for the elderly were mainly published in Sensors, IEEE Access, and Applied Sciences-Basel journals. The keyword co-occurrence analysis showed that keywords related to ‘smart home’ appeared most frequently. The top ten common keywords were system, health, smart home, smart homes, Internet of Things, care, older adults, technology, healthcare, and people. The most recent keyword to gather attention was ‘artificial intelligence’. The research on smart healthcare systems for the elderly continues to increase steadily. China and the US maintain a leading position in the world, and institutions such as King Saud University have contributed significantly to the field of smart healthcare for older people. The smart home is the current research hotspot in the field of smart healthcare for older people, and artificial intelligence is likely to be the focus of research in the coming years. There is a need for greater collaboration between countries and institutions to help older people benefit from smart healthcare.

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Section: Discussionmentioning

confidence: 99%

Global Trends in the Study of Smart Healthcare Systems for the Elderly: Artificial Intelligence Solutions

Zhu

Yang

Xin-fa

2023

Int J Comput Intell Syst

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“…In Italy, about 22.8% of the population is aged over 65 ( 3 ). In America, a predicted 20% of its entire population is forecast to be 65 years and over by 2030 ( 4 ). China is one of the world’s fastest-aging countries ( 5 ).…”

Section: Introductionmentioning

confidence: 99%

Intervention effects of telenursing based on M-O-A model in empty-nest older adult individuals with chronic diseases: a randomized controlled trial

Yuan,

Hou,

Wang

et al. 2024

Front. Public Health

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AimThis study aims to verify the effectiveness of M-O-A telenursing intervention model in improving the health status and quality of life of the empty-nest older adult individuals with chronic diseases by a randomized comparative trial.MethodsM-O-A telenursing intervention model was constructed based on the needs of the participants. The control group (N = 39) received routine nursing, the experimental group (N = 39) received M-O-A telenursing intervention in addition to routine nursing. After 12 weeks of intervention, the intervention effects of being a participant in the two groups were evaluated. SPSS 26.0 was used for data analysis.ResultsAfter 12 weeks of intervention, for the experimental group, each dimension of quality of life based on EQ-5D-3L became better, especially for “pain/discomfort,” “anxiety/depression,” “HRQoL” and “EQ-VAS” (all p < 0.05) and each dimension of quality of life based on SF-36 became better too, especially for “GH,” “BP,” “RE,” “MH,” “VT,” “SF,” “PCS,” “MCS,” “SF-36” (all p < 0.05). In addition, there was a statistical downward trend in blood pressure, blood glucose, weight, BMI, fat rate, nap duration, number of nocturnal awakenings, light sleep rate and a statistical upward trend in water rate, basal metabolic rate, nighttime sleep duration, deep sleep rate, rapid eye movement sleep rate, especially at the end of intervention (all p < 0.05). While for the control group, there was no statistical improvement in all these aspects.ConclusionThe M-O-A telenursing model could effectively regulate quality of life and health condition of the empty-nest older adult individuals with chronic diseases, making it worthy of further promotion and application.

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Smart moves for an aging population

Cited by 2 publications

References 17 publications

Global Trends in the Study of Smart Healthcare Systems for the Elderly: Artificial Intelligence Solutions

Global Trends in the Study of Smart Healthcare Systems for the Elderly: Artificial Intelligence Solutions

Intervention effects of telenursing based on M-O-A model in empty-nest older adult individuals with chronic diseases: a randomized controlled trial

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