Effect of Regional Long-Term Care Service Supply on Choice of Care Arrangement in Old Age

Frequency and Correlates of Multimorbidity Among the Oldest Old: Study Findings from the Representative "Survey on Quality of Life and Subjective Well-Being of the Very Old in North Rhine-Westphalia (NRW80+)"

Purpose

Our aim was to clarify the frequency and correlates of multimorbidity among the oldest old.

Patients and Methods

We used data from the representative "Survey on quality of life and subjective well-being of the very old in North Rhine-Westphalia (NRW80+)" covering participants ≥80 years living in private households and in institutionalized settings in North Rhine-Westphalia (n = 1484, mean age was 86.3 years). Multimorbidity is defined as the co-occurrence of at least two chronic conditions. Sociodemographic, lifestyle-related, and health-related (including health literacy) correlates were included in regression analysis.

Results

About 79% of the participants were multimorbid. Logistic regressions showed that the likelihood of multimorbidity significantly increased with living in a private household, having a larger network size, worse self-rated health, higher functional impairment, and more depressive symptoms, whereas the remaining sociodemographic and lifestyle-related factors as well as health literacy were not significantly associated with multimorbidity.

Conclusion

A large proportion of participants in very late life is multimorbid. Apart from health-related factors, also two sociodemographic factors (ie, living situation and network size) were associated with multimorbidity among the oldest old. This knowledge may help to identify individuals at risk for multimorbidity in very late life.

Frequency and correlates of mild cognitive impairment and dementia among the oldest old - Evidence from the representative "Survey on quality of life and subjective well-being of the very old in North Rhine-Westphalia (NRW80+)"

OBJECTIVES

Since there is limited knowledge with regard to the frequency and correlates of mild cognitive impairment and dementia among the oldest old based on large representative data (including institutionalized individuals), our objective was to fill this research gap.

METHODS

For our study, data came from the representative "Survey on quality of life and subjective well-being of the very old in North Rhine-Westphalia (NRW80+)". This study included community-dwelling and institutionalized individuals aged 80 years and over (n = 1,173, mean age: 86 years) residing in the most populous state of Germany (North Rhine-Westphalia). The DemTect was used to quantify cognitive impairment (i.e., probable mild cognitive impairment and probable dementia).

RESULTS

Overall, 73.1% of the individuals were not cognitively impaired, 17.0% of the individuals had probable mild cognitive impairment and 9.9% of the individuals had probable dementia. Compared to individuals without cognitive impairment, individuals with probable mild cognitive impairment were more likely to be male, live in an institutionalized setting, have a lower educational level, have a smaller network size, and have lower functional abilities. Moreover, compared to individuals without cognitive impairment, individuals with probable dementia were more likely to be older, live in an institutionalized setting, have a lower educational level, have a smaller network size, not be multimorbid, and have lower functional abilities.

CONCLUSIONS

Our study identified several sociodemographic and health-related factors which are associated with probable mild cognitive impairment and probable dementia among the oldest old. This knowledge may help to address individuals at risk for mild cognitive impairment and dementia.

Factors Affecting Long-Term Care Preferences in Turkey

BACKGROUND

This study aimed to identify the long-term care preferences and the factors affecting theses preferences in Turkish society, where long-term care may soon become an important issue.

METHODS

We applied data from the Family Structure Survey of Turkey conducted in 2016. Using data from 35,475 individuals, we performed descriptive analysis and logistic regressions to determine the preferences and determinants of individuals based on the Andersen Behavior Model.

RESULTS

Informal care was the main preference of individuals living in Turkey (37%). Men, individuals living in an extended family, and the young mostly favored informal care, while women, well-educated individuals, and urban individuals preferred institutional or formal care at home.

CONCLUSION

Efforts should be made to raise individuals' awareness regarding existing long-term care services. These services should be strengthened in line with society's preferences, considering regional differences.

Research on the optimization of financing scheme of long-term care insurance in China based on system dynamics simulation

Objective

The aging population in China highlights the significance of long-term care insurance (LTCI). This study provides policy suggestions for China to establish a sustainable LTCI financing mechanism by predicting the trend of funds balance and screening the appropriate financing scheme.

Method

A system dynamics model (SDM) of LTCI funds was constructed by clarifying the current situation and its main influencing factors of revenue and expenditure of LTCI funds in China. Also, through literature research and expert consultation, we found the intervention goals and predicted the changing trend of LTCI fund balance from 2020 to 2050 under different intervention schemes.

Results

The SDM of LTCI financing passes the dimensional consistency test, structural test, and historical test. Therefore, it can objectively reflect the structure and behavior of the financing system. It is found that the factors affecting the revenue and expenditure system of LTCI funds mainly include economic factors, demographic factors, and other factors. By adjusting three intervention indicators, namely, individual payment rate, reimbursement proportion, and severe disability rate, this study produces 45 financing combination schemes. By comparing the changing trend of LTCI fund balance under different intervention schemes, according to the screening principle, five better financing schemes are finally selected. These five financing schemes have no deficit and excessive balance in the forecast period, which is in line with the principle of sustainability. It can provide a reference for the selection of financing schemes in pilot areas.

Discussion

This study has optimized the policy of the LTCI financing mechanism, determined the suitable LTCI participants, financing channels and levels, and screened out the suitable LTCI financing policy optimization scheme for China. By appropriately increasing the individual payment rate, strengthening the disability intervention of the elderly, formulating scientific and objective disability evaluation standards, and finally establishing a dynamic financing adjustment mechanism of LTCI. This study can provide a basis for the scientific formulation of the LTCI financing mechanism in China and provide a reference for developing countries to establish a sustainable LTCI.

Individual characteristics associated with the utilization of nursing care in the very old population: a cross-sectional study

BACKGROUND

As older adults ≥80 years are often underrepresented in previous studies, little is known about their characteristics associated with the utilization of nursing care services. Therefore, this study examined individual (predisposing, enabling, and need) predictors of nursing care utilization in the very old population of North Rhine-Westphalia (NRW) in Germany.

METHODS

Data from a representative cross-sectional study included 1531 community-dwelling individuals and nursing home residents aged ≥80 years. Multinomial regression was applied to investigate the factors that explain the use of outpatient care services, day care, and/or private care (odpNCU), and inpatient nursing care (inpNCU).

RESULTS

Overall, 1083 (69.9%) participants did not use nursing care services (noNCU), 339 (21.9%) used outpatient, day, and/or private care, and 127 (8.2%) used inpatient nursing care. Compared to noNCU, odpNCU was associated with a higher likelihood of being older [odds ratio (OR) = 1.06, 95% confidence interval (CI): 1.01-1.11], having no partner (OR = 0.58, 95%CI: 0.37-0.91), experiencing higher functional (basic activities of daily living, OR = 0.02, 95%CI: 0.01-0.04; instrumental activities of daily living, OR = 0.18, 95%CI: 0.11-0.30) and cognitive disabilities (OR = 0.63, 95%CI: 0.44-0.89). Compared to noNCU, nursing home residents were more likely older (OR = 1.14, 95%CI: 1.07-1.22), had lower socioeconomic status (OR = 0.98, 95%CI: 0.97-1.00), were childless (OR = 3.83, 95%CI: 1.71-8.56) and without partners (OR = 0.43, 95%CI: 0.20-0.96), socially isolated (OR = 3.94, 95%CI: 2.06-7.55), were more likely to be lonely (OR = 2.94, 95%CI: 1.58-7.89), more functionally (basic activities of daily living, OR = 0.01, 95%CI: 0.00-0.03; instrumental activities of daily living, OR = 0.04, 95%CI: 0.02-0.09) and cognitively impaired (OR = 0.48, 95%CI: 0.31-0.74), but they were less likely to experience five or more chronic conditions (OR = 0.42, 95%CI: 0.20-0.88) and less likely to be physically pre-frail (OR = 0.24, 95%CI: 0.10-0.58) and frail (OR = 0.09, 95%CI: 0.03-0.27).

CONCLUSIONS

Individual need factors dominated in explaining odpNCU, suggesting that the very old population in NRW may have equitable access to these services. As social structure, region, and social resources explain inpNCU, this type of care may be inequitably accessible.

Research on Financing Mechanism of Long-Term Care Insurance in Xiamen, China: A System Dynamics Simulation

Objective: This study aimed to predict the changing trend of long-term care insurance (LTCI) funds by clarifying the linkage between revenue and expenditure and its influencing factors and to provide evidence for the establishment of a sustainable LTCI financing mechanism in China.

Method: We have taken Xiamen as an example, based on the data from Xiamen Special Economic Zone Yearbook and field survey. The changing trend of LTCI funds is predicted from 2020 to 2030 based on the system dynamics model (SDM) of the LTCI financing system. Also, through literature research and expert consultation, we found the intervention goals and analyzed their impact on the balance of LTCI funds.

Results: In the current situation, according to the forecast, the revenue and the expenditure of the LTCI funds will increase year by year from 2020 to 2030 in Xiamen, an increase of about 3.7 times and 8.8 times, respectively. After 2029, the expenditure will exceed the revenue of the LTCI funds and the balance will turn into a deficit. From the perspective of fund revenue, by adjusting the individual payment rate, government financial subsidies, and enterprise payment rate, the proportion of LTCI funds can be increased to alleviate the balance deficit under the original forecast. On the contrary, from the perspective of fund expenditure, increasing the proportion of reimbursement and the rate of severe disability will lead to an increase in fund expenditure. In this case, the balance of the funds will turn into a deficit, 7 years in advance. In addition, it was found that the severe disability rate has the greatest impact on the balance of funds.

Discussion: The SDM can objectively reflect the structure and the behavior of the LTCI financing system and has good applicability. By increasing the individual payment rate, government financial subsidies, and enterprise contribution rate, reasonable setting of the reimbursement ratio of nursing services, especially for the prevention of disability among the elderly, to maintain the sustainability of the funds. This study provides strong evidence for policymakers to establish a sustainable LTCI system in China.