scholarly journals BURDEN OF FAMILY CARE-GIVERS AND THE RATIONING IN THE LONG-TERM CARE INSURANCE BENEFITS OF JAPAN

2008 ◽  
Vol 53 (01) ◽  
pp. 121-144 ◽  
Author(s):  
WATARU SUZUKI ◽  
SEIRITSU OGURA ◽  
NOBUYUKI IZUMIDA
Keyword(s):  
Long Term Care ◽  
Family Care ◽  
Well Being ◽  
Positive Contribution ◽  
Short Term ◽  
Term Care ◽  
Care Givers ◽  
Home Helper ◽  
Long Term Care Insurance

Long-Term Care Insurance (LTCI), introduced in Japan in 2000, is rapidly turning into a system of rationed benefits due to financial difficulty. Based on our survey of 2,530 family care-givers and the Zarit Care-Giver Burden Index, we have examined how LTCI is affecting their subjective burden. We have found that, as Kishida and Tanigaki (2004) had shown, (i) insufficient provision of short-term stays, day services and home-helper services, as well as (ii) disruptive or antisocial behaviors of the elderly, increase the care-giver's burden. We then argue that (iii) these results establish the positive contribution of LTCI in the well-being of family care-givers, (iv) short-term stay is the most efficient service, followed by home-helper service, and day service is the least efficient, and we show that (v) J-ZBIC-8 works well enough for many practical purposes.

scholarly journals Predicting Incidence of Long-term Care Insurance Certification in Japan with the Kihon Checklist for Frailty Screening Tool: Analysis of Local Government Survey Data

2020 ◽  
Author(s):  
Kumiko Ito ◽  
Hisashi Kawai ◽  
Harukazu Tsuruta ◽  
Shuichi Obuchi
Keyword(s):  
Logistic Regression ◽  
Local Government ◽  
Long Term Care ◽  
Multiple Logistic Regression ◽  
Short Term ◽  
Term Care ◽  
Specificity And Sensitivity ◽  
Long Term Care Insurance ◽  
Level 1

Abstract Background: Predicting incidence of long-term care insurance (LTCI) certification in the short term is of increasing importance in Japan. The present study examined whether the Kihon Checklist (KCL) can be used to predict incidence of LTCI certification (care level 1 or higher) in the short term among older Japanese persons.Methods: In 2015, the local government in Tokyo, Japan, distributed the KCL to all individuals older than 65 years who had not been certified as having a disability or who had already been certified as requiring support level 1–2 according to LTCI system. We also collected LTCI certification data within the 3 months after collecting the KCL data. The data of 17785 respondents were analyzed. First, we selected KCL items strongly associated with incidence of LTCI certification, using stepwise forward-selection multiple logistic regression. Second, we conducted receiver operating characteristic (ROC) analyses for three conditions (1: Selected KCL items, 2: The main 20 KCL items (nos. 1–20), 3: All 25 KCL items). Third, we estimated specificity and sensitivity for each condition.Results: During a 3-month follow-up, 81 (0.5%) individuals required new LTCI certification. Eight KCL items were selected by multiple logistic regression as predictive of certification. The area under the ROC curve in the three conditions was 0.92–0.93, and specificity and sensitivity for all conditions were greater than 80%.Conclusions: Three KCL conditions predicted short-term incidence of LTCI certification. This suggests that KCL items may be used to screen for the risk of incident LTCI certification.

Effects of Long-Term Care Insurance on Financial Well-Being

2015 ◽  
Author(s):  
Jing Dong ◽  
R. Tamara Konetzka ◽  
Fabrice Smieliauskas
Keyword(s):  
Long Term Care ◽  
Well Being ◽  
Term Care ◽  
Long Term Care Insurance

scholarly journals Predicting incidence of long-term care insurance certification in Japan with the Kihon Checklist for frailty screening tool: analysis of local government survey data

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kumiko Ito ◽  
Hisashi Kawai ◽  
Harukazu Tsuruta ◽  
Shuichi Obuchi
Keyword(s):  
Logistic Regression ◽  
Local Government ◽  
Long Term Care ◽  
Multiple Logistic Regression ◽  
Short Term ◽  
Term Care ◽  
Specificity And Sensitivity ◽  
Long Term Care Insurance ◽  
Level 1

Abstract Background Predicting incidence of long-term care insurance (LTCI) certification in the short term is of increasing importance in Japan. The present study examined whether the Kihon Checklist (KCL) can be used to predict incidence of LTCI certification (care level 1 or higher) in the short term among older Japanese persons. Methods In 2015, the local government in Tokyo, Japan, distributed the KCL to all individuals older than 65 years who had not been certified as having a disability or who had already been certified as requiring support level 1–2 according to LTCI system. We also collected LTCI certification data within the 3 months after collecting the KCL data. The data of 17,785 respondents were analyzed. First, we selected KCL items strongly associated with incidence of LTCI certification, using stepwise forward-selection multiple logistic regression. Second, we conducted receiver operating characteristic (ROC) analyses for three conditions (1: Selected KCL items, 2: The main 20 KCL items (nos. 1–20), 3: All 25 KCL items). Third, we estimated specificity and sensitivity for each condition. Results During a 3-month follow-up, 81 (0.5%) individuals required new LTCI certification. Eight KCL items were selected by multiple logistic regression as predictive of certification. The area under the ROC curve in the three conditions was 0.92–0.93, and specificity and sensitivity for all conditions were greater than 80%. Conclusions Three KCL conditions predicted short-term incidence of LTCI certification. This suggests that KCL items may be used to screen for the risk of incident LTCI certification.

Recruiting Out-of-Home Caregivers for Children with an Intellectual Disability in the Shared Family Care Program

1993 ◽  
Vol 18 (4) ◽  
pp. 23-27 ◽  
Author(s):  
Jill Volard ◽  
Christine Baxter ◽  
Cliff da Costa
Keyword(s):  
Intellectual Disability ◽  
Intellectual Disabilities ◽  
Long Term Care ◽  
Service Providers ◽  
Family Care ◽  
Care Program ◽  
Short Term ◽  
Term Care ◽  
Recent Evaluation

Recruiting caregivers for children with an intellectual disability who require out-of-home respite or longer-term care is a problem which has challenged service providers for many years. This paper summarises findings of a recent evaluation of Shared Family Care, a foster care program in Victoria for children with intellectual disabilities/developmental delay. Current recruiting is not succeeding in meeting the demand for either respite, short term or long term care. Findings of the evaluation suggest that factors such as use of appropriate media, and running effective recruitment campaigns is only part of the answer. It is also important at every stage to address caregiver satisfaction with the job and employ strategies to find potential caregivers in the community.

scholarly journals How to understand informal caregiving patterns in Europe? The role of formal long-term care provisions and family care norms

2017 ◽  
Vol 46 (4) ◽  
pp. 436-447 ◽  
Author(s):  
Ellen Verbakel
Keyword(s):  
Informal Care ◽  
Long Term Care ◽  
Family Care ◽  
Well Being ◽  
Informal Caregiving ◽  
European Countries ◽  
Prevalence Rates ◽  
Term Care

Aims: Motivated by ageing populations, healthcare policies increasingly emphasize the role of informal care. This study examines how prevalence rates of informal caregivers and intensive caregivers (i.e. those who provide informal care for at least 11 hours a week) vary between European countries, and to what extent informal caregiving and intensive caregiving relate to countries’ formal long-term care provisions and family care norms. Methods: Multilevel logistic regression analyses on data from the European Social Survey Round 7 ( n = 32,894 respondents in n = 19 countries) were used to test (a) contradicting hypotheses regarding the role of formal long-term care provisions based on crowding-out, crowding-in and specialization arguments and (b) the hypothesis that strong family care norms are positively related to (intensive) informal caregiving. Results: Prevalence rates of informal caregiving varied between European countries, from 20% to 44%. Intensive caregiving ranged from 4% to 11%. Opposite patterns regarding the role of formal long-term care provisions were revealed: generous long-term care provisions in a country were related to a higher likelihood of providing informal care, but a lower likelihood of providing intensive care. Moreover, intensive caregiving was more likely when family care norms in a country were strong. Conclusions: This study provided support for the specialization argument by showing that generous formal long-term care provisions crowded-out intensive caregiving, but also encouraged more people to provide (some) informal care. Because especially intensive caregiving is burdensome, low levels of formal long-term care provisions might bring risks to caregivers’ well-being and healthcare systems’ sustainability.

Effects of long-term care insurance on financial well-being

2018 ◽  
Vol 44 (2) ◽  
pp. 277-302
Author(s):  
Jing Dong ◽  
Fabrice Smieliauskas ◽  
R. Tamara Konetzka
Keyword(s):  
Long Term Care ◽  
Well Being ◽  
Term Care ◽  
Long Term Care Insurance

scholarly journals Predicting Incidence of Long-term Care Insurance Certification in Japan with the Kihon Checklist for Frailty Screening Tool: Analysis of Local Government Survey Data

2020 ◽  
Author(s):  
Kumiko Ito ◽  
Hisashi Kawai ◽  
Harukazu Tsuruta ◽  
Shuichi Obuchi
Keyword(s):  
Logistic Regression ◽  
Local Government ◽  
Long Term Care ◽  
Multiple Logistic Regression ◽  
Short Term ◽  
Term Care ◽  
Specificity And Sensitivity ◽  
Long Term Care Insurance ◽  
Level 1

Abstract Background: Predicting incidence of long-term care insurance (LTCI) certification in the short term is of increasing importance in Japan. The present study examined whether the Kihon Checklist (KCL) can be used to predict incidence of LTCI certification (care level 1 or higher) in the short term among older Japanese persons.Methods: In 2015, the local government in Tokyo, Japan, distributed the KCL to all individuals older than 65 years who had not been certified as having a disability or who had already been certified as requiring support level 1–2 according to LTCI system. We also collected LTCI certification data within the 3 months after collecting the KCL data. The data of 17785 respondents were analyzed. First, we selected KCL items strongly associated with incidence of LTCI certification, using stepwise forward-selection multiple logistic regression. Second, we conducted receiver operating characteristic (ROC) analyses for three conditions (1: Selected KCL items, 2: The main 20 KCL items (nos. 1–20), 3: All 25 KCL items). Third, we estimated specificity and sensitivity for each condition.Results: During a 3-month follow-up, 81 (0.5%) individuals required new LTCI certification. Eight KCL items were selected by multiple logistic regression as predictive of certification. The area under the ROC curve in the three conditions was 0.92–0.93, and specificity and sensitivity for all conditions were greater than 80%.Conclusions: Three KCL conditions predicted short-term incidence of LTCI certification. This suggests that KCL items may be used to screen for the risk of incident LTCI certification.

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