scholarly journals Keyword Network Analysis on Long Term Care Insurance Using Text Mining

2021 ◽  
Vol 46 (3) ◽  
pp. 257-266
Author(s):  
Jonggeun Seo ◽  
Chung Mo Nam ◽  
Tae Hyun Kim ◽  
So-Hee Park
Keyword(s):  
Big Data ◽  
Text Mining ◽  
Long Term Care ◽  
The Elderly ◽  
Care Providers ◽  
Data Types ◽  
Term Care ◽  
Service Institution ◽  
Long Term Care Insurance

Objectives: This study conducted research using big data in order to overcome the limitations of existing qualitative research or analysis research. By analyzing keywords, the flow and role of long-term care insurance in society were analyzed.Methods: Issues were searched through text mining, one of the big data techniques, and the flow of agendas by period was examined by 3 time points (institutional settlement period, 1st basic plan, 2nd basic plan). Using R and NetMiner, Daum News (news.daum.net) and Naver News (news.naver.com) were web-scraped to collect 20,965 news articles, 4,994 articles were filtered for keyword extraction and analysis. Result: Looking at the characteristics of each data type, in all data types, long-term care institutions (including nursing homes) and care providers appear as the top keywords, and the keyword subgroup characteristics are ① grade/service, ② institution management, and ③ the employee group includes the keyword subgroup.Conclusions: This study is based on the subject of long-term care insurance for the elderly and applies big data analysis techniques, and can be used as a decision-making tool in establishing policies and systems.

"Occupational Therapy in Long-Term Care Insurance For the Elderly Using Text Mining"

2018 ◽  
Vol 12 (2) ◽  
pp. 67-74 ◽  
Author(s):  
Min Seok Cho ◽  
Soon-Hyung Baek ◽  
Eom-Ji Park ◽  
Soo-Hee Park
Keyword(s):  
Text Mining ◽  
Occupational Therapy ◽  
Long Term Care ◽  
The Elderly ◽  
Term Care ◽  
Long Term Care Insurance

scholarly journals Impact of Frailty on Medical and Long-Term Care Expenditures for the Elderly Age 75 or Over in Japan

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 176-176
Author(s):  
Hiroto Yoshida ◽  
Yuriko Kihara
Keyword(s):  
Long Term Care ◽  
The Elderly ◽  
Elderly Age ◽  
Term Care ◽  
Intentional Weight Loss ◽  
Long Term Care Insurance ◽  
And Gender ◽  
The Impact

Abstract This study examined the impact of frailty on medical and long-term care expenditures in an older Japanese population. The subjects were those aged 75 years and over who responded to the survey (March 2018) in Bibai, Hokkaido, Japan (n=1,203) and have never received certification of long-term care insurance at the survey. We followed up 867 individuals (72.1%) until the end of December 2018 (10 month-period). We defined frailty as a state in performing 4 items and over of 15 items which were composed of un-intentional weight loss, history of falls, etc. Among 867 subjects, 233 subjects (26.9%) were judged to be frailty group, and 634 subjects (73.1%) non-frailty group. We compared period to the new certification of long-term care insurance (LTCI), accumulated medical and long-term care expenditures adjusted for age and gender between the two groups during the follow-up period. Cox proportional hazard models were used to examine the association between baseline frailty and the new certification of LTCI. The relative hazard ratio (HR) was higher in frailty group than non-frailty group (HR=3.51, 95% CI：1.30-9.45, P=.013). The adjusted mean accumulated medical and long-term care expenditures per capita during the follow-up were significantly (P=.002) larger for those in the frailty group (629,699 yen), while those in the non-frailty group were 450,995 yen. We confirmed strong economic impact of frailty in the elderly aged 75 or over in Japan.

Functional disability with systematic trends and uncertainty: a comparison between China and the US

2021 ◽  
pp. 1-30
Author(s):  
Yu Fu ◽  
Michael Sherris ◽  
Mengyi Xu
Keyword(s):  
Systematic Uncertainty ◽  
Functional Disability ◽  
Long Term Care ◽  
The Elderly ◽  
Aged Care ◽  
Term Care ◽  
Healthy Longevity ◽  
The Us ◽  
Long Term Care Insurance

Abstract China and the US are two contrasting countries in terms of functional disability and long-term care. China is experiencing declining family support for long-term care and developing private long-term care insurance. The US has a more developed public aged care system and private long-term care insurance market than China. Changes in the demand for long-term care are driven by the levels, trends and uncertainty in mortality and functional disability. To understand the future potential demand for long-term care, we compare mortality and functional disability experiences in China and the US, using a multi-state latent factor intensity model with time trends and systematic uncertainty in transition rates. We estimate the model with the Chinese Longitudinal Healthy Longevity Survey (CLHLS) and the US Health and Retirement Study (HRS) data. The estimation results show that if trends continue, both countries will experience longevity improvement with morbidity compression and a declining proportion of the older population with functional disability. Although the elderly Chinese have a shorter estimated life expectancy, they are expected to spend a smaller proportion of their future lifetime functionally disabled than the elderly Americans. Systematic uncertainty is shown to be significant in future trends in disability rates and our model estimates higher uncertainty in trends for the Chinese elderly, especially for urban residents.

ECHO Care of the Elderly – Using Technology to Build Capacity of Primary Care Providers in Long-term Care

2019 ◽  
Vol 20 (3) ◽  
pp. B10-B11
Author(s):  
Sid Feldman ◽  
L. Sokoloff ◽  
S. Feldman ◽  
A. Moser ◽  
D. Conn
Keyword(s):  
Primary Care ◽  
Long Term Care ◽  
The Elderly ◽  
Primary Care Providers ◽  
Care Providers ◽  
Term Care
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