scholarly journals Descriptive analysis of service use covered by long-term care insurance in Japan - based on population-based claims data

2014 ◽  
Vol 14 (S2) ◽  
Author(s):  
Nanako Tamiya ◽  
Masayo Kashiwagi ◽  
Hideto Takahashi ◽  
Haruko Noguchi
PLoS ONE ◽  
2018 ◽  
Vol 13 (8) ◽  
pp. e0203112 ◽  
Author(s):  
Yoko Moriyama ◽  
Nanako Tamiya ◽  
Akira Kawamura ◽  
Thomas D. Mayers ◽  
Haruko Noguchi ◽  
...  

Author(s):  
Sunjoo Boo ◽  
Jungah Lee ◽  
Hyunjin Oh

In Korea, a substantial proportion of long-term care insurance (LTCI) beneficiaries die within 1 year of seeking the benefit. This study was conducted to evaluate the pattern of medical care use and care cost during the last year of life among Korean LTCI beneficiaries between 2009 and 2013 using the national claims data. The National Health Insurance’s Senior (NHIS-Senior) cohort was used for this retrospective study. The participants were LTCI beneficiaries aged 65 or over as of 2008 who died between 2009 and 2013 (N = 30,433). Medical costs during the last year of life were highest for those who used both medical care services and long-term care (LTC) services and increased as death approached. About half of the participants were hospitalized at the time of death. The use of LTC services at the time of death increased from 13.0 to 22.8%, while those who died at home decreased from 34 to 20%. This study suggests that the use of LTC services did not reduce medical costs by substituting unnecessary inpatient hospitalization. Quality of dying should be considered one of the goals of older adult care, and provisions should be made for palliative care at home or LTC facilities.


Author(s):  
Susan Bronskill ◽  
Jun Guan ◽  
Marian Vermeulen ◽  
Erika Yates ◽  
Ryan Ng ◽  
...  

ABSTRACTObjectiveEfforts to enable persons with dementia to remain at home longer, and to reduce use of costly acute care resources, are at the forefront of policy agendas internationally. Foundational to planning appropriate health system supports is the ongoing, comparable and accurate estimation of the prevalence and incidence of dementia across regions, as well as associated patterns of health services use and cost. Our objective was to explore emerging approaches to using population data in dementia research and demonstrate the policy contribution of the resulting new knowledge. ApproachUsing population-based health administrative data and an algorithm that was validated using electronic medical records, we developed a series of repeated, cross-sectional cohort studies to examine trends in dementia prevalence, incidence and publicly-funded health service use and costs between 2004/05 and 2013/14 among adults aged 65 years and older in Ontario, Canada. Trends in yearly rates of health service use were assessed using regression models for serially correlated data and compared to a 1:1 matched control group based on age, sex, geographic region and comorbidity level. ResultsOver time, age- and sex-adjusted prevalence of dementia increased by 18.2% (from 63.0 to 74.5 per 1,000 persons; p-value < 0.001) and age- and sex-adjusted incidence decreased slightly (from 18.2 to 17.0 per 1,000 persons; p-value = 0.05). Community-dwelling persons with dementia were more likely than matched controls to be placed in long-term care (11.8% vs. 1.5% in 2013; p<0.001) and use home care (45.8% vs 23.2%; p<0.001) but equally likely to visit family physicians (93.9% vs. 94.8% in 2013) and specialists (87.1% vs. 89.4%). Median costs associated with one year of health system use were $19,468 (interquartile range (IQR) $4,490 to $47,726) for prevalent cases in 2012/13 and $16,549 (IQR $5,070 to $47,899) for incident cases. Long-term care and hospital care accounted for the largest portion of total costs in both groups. ConclusionThe prevalence of dementia has increased in Ontario, Canada over time and, given slightly declining incidence rates, is likely attributable to improved survival. Surveillance of dementia with health administrative data is a cost-effective tool for describing and monitoring trends in incidence and prevalence over time, and for supporting health system capacity planning. This comparative information is critical to understanding the impact of policy decisions designed to address dementia-related health care needs at a population level.


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