scholarly journals Estimating Long-Term Care Costs among Thai Elderly: A Phichit Province Case Study

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Pattaraporn Khongboon ◽  
Sathirakorn Pongpanich
Keyword(s):  
Informal Care ◽  
Rural Areas ◽  
Urban Areas ◽  
Socioeconomic Development ◽  
Long Term Care ◽  
The Elderly ◽  
Term Care ◽  
Rural And Urban Areas ◽  
Rural And Urban

Background. Rural-urban inequality in long-term care (LTC) services has been increasing alongside rapid socioeconomic development. This study estimates the average spending on LTC services and identifies the factors that influence the use and cost of LTC for the elderly living in urban and rural areas of Thailand. Methods. The sample comprised 837 elderly aged 60 years drawn from rural and urban areas in Phichit Province. Costs were assessed over a 1-month period. Direct costs of caregiving and indirect costs (opportunity cost method) were analyzed. Binary logistic regression was performed to determine which factors affected LTC costs. Results. The total annual LTC spending for rural and urban residents was on average USD 7,285 and USD 7,280.6, respectively. Formal care and informal care comprise the largest share of payments. There was a significant association between rural residents and costs for informal care, day/night care, and home renovation. Conclusions. Even though total LTC expenditures do not seem to vary significantly across rural and urban areas, the fundamental differences between areas need to be recognized. Reorganizing country delivery systems and finding a balance between formal and informal care are alternative solutions.

scholarly journals Prediction the Contribution Rate of Long-Term Care Insurance for the Aged in China Based on the Balance of Supply and Demand

2020 ◽  
Vol 12 (8) ◽  
pp. 3144 ◽  
Author(s):  
Liangwen Zhang ◽  
Sijia Fu ◽  
Ya Fang
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Long Term Care ◽  
Population Census ◽  
Contribution Rate ◽  
Term Care ◽  
Disabled Elderly ◽  
Long Term Care Insurance ◽  
Per Capita

There are a large number of disabled elderly people in China, which results in huge care and financial burdens to their families and society. However, China has not yet launched a unified long-term care insurance (LTCI) system. This study aims to predict the contribution rate of LTCI in China from 2020 to 2050 based on the long-term care (LTC) cost of the disabled elderly, aged 65 and over, in order to provide strong evidence for the establishment of a unified and sustainable national LTCI system in China. The simulations are based on data from the population census data, the Chinese statistical yearbook, and the Chinese Longitudinal Healthy Longevity Survey (CLHLS) database. Based on the International Labor Organization (ILO) financing model from the perspective of fund balance, an overall simulation model and a Monte Carlo simulation are used to estimate the contribution rate of LTCI for disabled elderly from 2020 to 2050 in China. The total financial demands will increase sharply from 538.0 billion yuan in 2020 to 8530.8 billion yuan in 2050. Of that total, 80.2% will be required in urban areas. In addition, the per capita financial demands of care in urban and rural areas in 2050 will be approximately six times and 11 times higher than in 2020, respectively. The predicted results show that the overall contribution rate of LTCI in China will increase sharply from 1.46% in 2020 to 5.14% in 2050, an increase of about 3.5 times. By comparison, the contribution rate in 2020 will be close to 1.33% in Japan in 2015 and 1.40% in Germany in 2010. According to the 1:1 payment proportion between employer and employee, each side bears 0.68% of the insurance premium. From 2020 to 2050, the financial demands of long-term care for disabled elderly in China will increase, especially in urban areas, and the burden of per capita financial demands in rural areas will increase significantly. The overall contribution rate of LTCI will increase linearly and the payment burden of policyholders will increase year by year. This study provides evidence of the need for the establishment of a sustainable financing mechanism for multiple financial supplies.

ESTABLISHING THE WELL-BEING OF THE RURAL-URBAN ELDERLY POPULATION: A CASE STUDY OF INDONESIA

2010 ◽  
Vol 44 (02) ◽  
pp. 105-120 ◽  
Author(s):  
SAIDATULAKMAL MOHD ◽  
AZLINDA AZMAN ◽  
JAMALLUDIN SULAIMAN ◽  
ISMAIL BABA
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Elderly Population ◽  
Well Being ◽  
The Elderly ◽  
Urban Elderly ◽  
Contributing Factors ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Significant Difference

This study determines and compares the influence of various demographic factors in achieving well-being of the elderly population in the rural and urban areas in Indonesia. Age, marital status, social class, perceived health and economic condition are some of the main contributing factors in measuring well-being. In addition, social aspects such as living and familial arrangement were also investigated to establish elderly population well being. Data were collected using a survey-interview method. A total of 157 elderly in the urban areas and 145 elderly in the rural areas were surveyed. A causal model of well-being was employed to analyse the data obtained. The model of well-being was then tested using path analysis to test the causal relationships among the variables. Although the study indicated that there was no significant difference of well-being between the rural and urban elderly, the social support variables generally help improve the well-being of the elderly population.

scholarly journals Health status of the rural population in Poland

2014 ◽  
Vol 36 (2) ◽  
pp. 235-243 ◽  
Author(s):  
Agnieszka Bem ◽  
Paulina Ucieklak-Jeż
Keyword(s):  
Health Status ◽  
Life Expectancy ◽  
Rural Areas ◽  
Rural Population ◽  
Urban Areas ◽  
Good Health ◽  
The Elderly ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Central Statistical

The aim of this paper is to evaluate the health of the elderly, living in rural areas of Poland. The analysis based on a survey “The health status of the Polish population” carried out by the Central Statistical Office (GUS). In order to assess the differences in the health status of the villagers and townsfolk’s we have examined the share of older people living in rural and urban areas in the structure of the whole population. We have also identified the measures of the health status. We have calculated, using the Sullivan method, the value of Healthy Life Expectancy, Disability Free Life Expectancy,.Chronic Disease Life for the Polish rural and urban elderly population. The study has shown, the villagers live shorter in good health (without disability and chronic diseases). Presented study allows to formulate the desirable directions of changes to improve the health status of rural population. This should lead to more effective health care in rural areas.

scholarly journals Urban-rural differences in long-term care service status and needs among home-based elderly people in China

2019 ◽  
Author(s):  
Liangwen Zhang ◽  
Yanbing Zeng ◽  
Ying Han ◽  
Lixia Wang ◽  
Ya Fang
Keyword(s):  
Low Income ◽  
Rural Areas ◽  
Long Term Care ◽  
The Elderly ◽  
Influential Factors ◽  
Term Care ◽  
Home Based ◽  
Urban Rural ◽  
Young Old

Abstract Background: Long-term care (LTC) needs for the elderly have become increasingly crucial policy concerns in rapidly aging Asia, especially in China, the most populous nation. However, very few studies have examined the cohort differences in terms of their existing and expected utilization of LTC services, above all urban-rural differences. This study aims to evaluate the differences of LTC current status and needs between urban-rural areas and to identify influencing factors causing the different LTC needs. Methods: The data comes from the Chinese Longitudinal Health Longevity Survey in 2014. 7192 home-based elderly aged ≥65 years by multistage sampling were enrolled. The Andersen Model was applied to categorize the influential factors into three components including predisposing, enabling and needs. Multivariate logistic regression analysis was used to analyze the influential factors of the three levels of LTC needs. Results: A total of 6909 valid sample sizes were included in this study. The overall LTC needs of the elderly showed a rapidly increasing trend among which older people had the highest needs for bathing (27.29%) and toileting (15.8%). It was also demonstrated the aged cohort between urban and rural exerted an impact on all aspects of LTC status and needs to varying degrees (P＜0.05). Compared with urban areas, the LTC needs for the elderly in rural areas was more vigorous, but the supply was seriously inadequate. The elderly who were older, living in rural areas, unmarried, non-farming, with low income, in poor health, and less autonomy had higher anticipated needs for LTC services (ORs>1, P＜0.01). Compared with the young-old in rural, the young-old in urban were prone to live alone (ORs=1.61, P＜0.01). The elderly who were older, living in rural areas, farming, with low income, lonely and depressed had higher anticipated needs for community-based services (1＜ORs＜1.69, P＜0.05).Conclusions: The aged cohort in urban-rural distinction were facing an increasing need of immediate care due to the inadequate supports being provided, especially among rural elderly. The oldest old in rural areas had higher LTC needs, and different levels of needs were affected by age, economic level, family support and health status and other related effects. This study provides evidence-based recommendation for further improving the construction and development of the LTC system in China.

scholarly journals Urban–Rural Differences in Long-Term Care Service Status and Needs Among Home-Based Elderly People in China

2020 ◽  
Vol 17 (5) ◽  
pp. 1701
Author(s):  
Liangwen Zhang ◽  
Yanbing Zeng ◽  
Lixia Wang ◽  
Ya Fang
Keyword(s):  
Low Income ◽  
Rural Areas ◽  
Urban Areas ◽  
The Elderly ◽  
Influential Factors ◽  
Term Care ◽  
Home Based ◽  
Urban Rural ◽  
Young Old

Background: Long-term care (LTC) needs for the elderly have become increasingly crucial policy concerns in rapidly aging Asia, especially in China, the most populous nation. However, very few studies have examined the cohort differences in terms of their existing and expected utilization of LTC services, above all urban–rural differences. This study aims to evaluate the differences of LTC current status and needs between urban–rural areas and age groups, and to identify influencing factors causing the different LTC needs. Methods: The data come from the Chinese Longitudinal Health Longevity Survey in 2014. A total of 7192 home-based elderly aged ≥65 years by multistage sampling were enrolled. The Andersen Model was applied to categorize the influential factors into three components including predisposing, enabling and needs. Multivariate logistic regression analysis was used to analyze the influential factors of the three levels of LTC needs. Results: A total of 6909 valid sample sizes were included in this study. The overall LTC needs of the elderly showed a rapidly increasing trend among which older people had the highest needs for bathing (27.29%) and toileting (15.8%). It was also demonstrated the aged cohort between urban and rural exerted an impact on all aspects of LTC status and needs to varying degrees (p < 0.05). Compared with urban areas, the LTC needs for the elderly in rural areas was more vigorous, but the supply was seriously inadequate. The elderly who were older, living in rural areas, unmarried, non-farming, with low income, in poor health and having less autonomy had higher anticipated needs for LTC services (OR > 1, p < 0.01). Compared with the young-old in rural areas, the young-old in urban areas were prone to live alone (OR = 1.61, p < 0.01). The elderly who were older, living in rural areas, farming, with low income, lonely and depressed had higher anticipated needs for community-based services (1 < OR < 1.69, p < 0.05). Conclusions: The aged cohort in urban–rural distinction were facing an increasing need for immediate care due to the inadequate support being provided, especially among rural elderly. The oldest elderly in rural areas had higher LTC needs, and different levels of needs were affected by age, economic level, family support, health status and other related effects. This study provides evidence-based recommendation for further improving the construction and development of the LTC system in China.

scholarly journals Unmet needs for assistance with activities of daily living among elderly in rural and urban areas in Kwara State Central Senatorial District, Nigeria

2021 ◽  
Vol 4 (2) ◽  
pp. 78-85
Author(s):  
Mojirola Martina Fasiku ◽  
Kabir Adekunle Durowade ◽  
Matthew Olumuyiwa Bojuwoye ◽  
Abdullahi Ahmed ◽  
Medinat Omobola Osinubi ◽  
...  
Keyword(s):  
Activities Of Daily Living ◽  
Rural Areas ◽  
Urban Areas ◽  
Daily Living ◽  
Unmet Needs ◽  
The Elderly ◽  
P Value ◽  
Cross Sectional ◽  
Rural And Urban Areas ◽  
Rural And Urban

Objective: The elderly usually require assistance and sometimes have unmet needs for assistance with activities of daily living. This study assessed the unmet needs for assistance with activities of daily living among the elderly in rural and urban areas in Kwara Central Senatorial District, Nigeria.  Methods:  Cross-sectional data were collected using pre-tested semi-structured interviewer-administered questionnaires from 300 elderly using the multistage sampling technique. The Statistical Package for Social Sciences 20 was used to analyze data, and the level of significance was predetermined at a p-value less than 0.05.  Results: Overall, 60% of the elderly in the urban than rural group (46%) had unmet needs for assistance with activities of daily living. The prevalence of unmet needs for assistance with basic activities of daily living in the rural areas ranged from 0.0% (eating) to 70.8 % (bathing) and 0.0% (eating) to 68.8 % (transferring) in the urban areas. The prevalence of unmet needs for instrumental activities of daily living ranged from 16.7% (handling finances) to 59.3 % (cooking) for those in the rural areas. However, the range was from 33.3% (transportation) to 75.0% (taking medications) in the urban areas. The urban respondents had higher unmet needs for assistance with telephone use than rural respondents. (p=0.004*).  Conclusion: The elderly in the urban areas had a higher prevalence of unmet needs for assistance with activities of daily living. The government must address the needs of the elderly through a policy to prevent unmet needs for assistance with activities of daily living.

scholarly journals Analysis of the Influencing Factors on the Preferences of the Elderly for the Combination of Medical Care and Pension in Long-Term Care Facilities Based on the Andersen Model

2020 ◽  
Vol 17 (15) ◽  
pp. 5436
Author(s):  
Yong Wei ◽  
Liangwen Zhang
Keyword(s):  
Medical Care ◽  
Rural Areas ◽  
Long Term Care ◽  
Economic Status ◽  
The Elderly ◽  
Education Level ◽  
Enabling Factors ◽  
Term Care ◽  
Andersen Model

Background: The purpose of this study is to evaluate the status quo and factors that influence the preferences of the elderly for the combination of medical care and pension (CMCP) in long-term care (LTC) facilities and to provide an evidence-based basis for building a multi-tiered, continuous LTC system with CMCP. Methods: Using a multi-stage sampling method, face-to-face questionnaire surveys were conducted on 3260 elderly people aged 60 years or over in 44 communities in 16 sub-districts in six districts in Xiamen. Based on the Andersen model, the chi-square test was used to analyze differences in population distribution, and binary logistic regression analysis was used to analyze the factors affecting the elderly’s preference for CMCP in LTC institutions in terms of the factors of predisposition, enablement, and personal needs. Results: Most elderly people choose traditional home care (82.01%), and only 12.89% choose LTC facilities with CMCP. This choice is influenced by a number of predisposing factors. The elderly who are at the upper end of the age range, have a higher education level, and live in rural areas are more likely to choose CMCP (odds ratio (OR) value greater than 1, p < 0.05). With regard to enabling factors, the elderly who were married, mainly taken care of by spouses, and had better economic status also tended to choose CMCP (OR > 1, p < 0.01). In terms of personal needs, the elderly with worse self-care status tended to choose CMCP (OR > 1, p < 0.01). Enabling factors have the largest contribution to the model, and they have the greatest impact on elder preference for CMCP services. In addition, the elderly with higher age and education level, non-remarried, with better economic status, and with poorer health status have a demand for a wider variety of CMCP services. Compared to those in urban areas, the elderly in rural areas have greater needs, mainly related to personal care, medical care, and psychological counseling. Conclusion: The preference of the elderly for CMCP are lower compared to their preference for home care in Xiamen, China. Preference for CMCP is affected by a range of factors such as age, education level, residence, income, and self-care ability, among which the enabling factors have the greatest impact.

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