scholarly journals The Impact of State Tax Subsidies for Private Long-Term Care Insurance on Coverage and Medicaid Expenditures

2010 ◽  
Author(s):  
Gopi Shah Goda
Keyword(s):  
Long Term Care ◽  
Term Care ◽  
Tax Subsidies ◽  
State Tax ◽  
Long Term Care Insurance ◽  
The Impact

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.

Private Long-Term Care Insurance and State Tax Incentives

2009 ◽  
Vol 46 (3) ◽  
pp. 305-321 ◽  
Author(s):  
David G. Stevenson ◽  
Richard G. Frank ◽  
Jocelyn Tau
Keyword(s):  
Long Term Care ◽  
Private Insurance ◽  
Tax Incentives ◽  
National Data ◽  
Term Care ◽  
State Tax ◽  
Long Term Care Insurance

To increase the role of private insurance in financing long-term care, tax incentives for long-term care insurance have been implemented at both the federal and state levels. To date, there has been surprisingly little study of these initiatives. Using a panel of national data, we find that market take-up for long-term care insurance increased over the last decade, but state tax incentives were responsible for only a small portion of this growth. Ultimately, the modest ability of state tax incentives to lower premiums implies that they should be viewed as a small piece of the long-term care financing puzzle.

scholarly journals The Impact of Consumer Numeracy on the Purchase of Long-Term Care Insurance

2016 ◽  
Vol 51 (4) ◽  
pp. 1612-1631 ◽  
Author(s):  
Brian E. McGarry ◽  
Helena Temkin-Greener ◽  
Benjamin P. Chapman ◽  
David C. Grabowski ◽  
Yue Li
Keyword(s):  
Long Term Care ◽  
Term Care ◽  
Long Term Care Insurance ◽  
The Impact

Actuarial Applications of a Statistical Model for Long-Term Care Insurance Operated with a Score-based Grading System: A Case Study of Korean Long-Term Care Insurance (K-LTCI)

2016 ◽  
Vol 10 (2) ◽  
Author(s):  
Hyuk-Sung Kwon ◽  
Bangwon Ko ◽  
Ji-Hae Kim
Keyword(s):  
Financial Risk ◽  
Long Term Care ◽  
Health Condition ◽  
Grading System ◽  
Term Care ◽  
Suggested Approach ◽  
System A ◽  
Long Term Care Insurance ◽  
The Impact

AbstractLong-term care insurance plays a very important role as providing a protection against financial risk of an individual when he/she becomes in a health condition incurring significant costs for long-term care. Construction of an appropriate actuarial model for long-term care is an integral part of maintaining and improving a long-term care insurance system. A model is suggested for analyzing the impact of change in score-based long-term care grading system and for estimating future cost of long-term care insurance. A spliced distribution was used to model assigned scores for long-term care insurance in Korea based on experience data. The suggested approach is quite flexible, as it allows us to adapt to possible changes in the grading system.

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