The impact of additional payments on functional decline among long-term care health facility residents in Japan

Sedentary behavior and the combination of physical activity associated with dementia, functional disability, and mortality: A cohort study of 90,471 older adults in Japan

OBJECTIVE

To examine the associations of sedentary behavior (SB) and the combination of moderate-to-vigorous intensity physical activity (MVPA) with dementia, functional disability, and mortality in older adults, and the heterogeneity in different subpopulations.

METHODS

Nation-wide cohort with 90,471 individuals aged ≥65 years in Japan. SB (<3, 3-<8, and ≥ 8 h per day [h/d]) and MVPA (0, 0 < MVPA<1, and ≥ 1 h/d) were measured in 2016. Long-term care registry-based incidence of outcomes was ascertained through 2021. Cox proportional hazard models were performed.

RESULTS

Compared with SB < 3 h/d group, SB ≥ 8 h/d was associated with higher risks of dementia, functional disability, and mortality with hazard ratios (95% confidence interval) of 1.36 (1.22-1.52), 1.32 (1.19-1.48), and 1.31 (1.18-1.45). The combination of MVPA and SB demonstrated a dose-respond trend of increasing risks of dementia, functional disability, and mortality with increased SB and decreased MVPA, where participants who spent no MVPA with SB ≥ 8 h/d had the highest risks. High MVPA attenuated but didn't eliminate the risks. Participants who spent MVPA≥1 h/d with SB ≥ 8 h/d had comparable risks to those who spent no MVPA with SB < 3 h/d. No heterogeneity was found by MVPA levels, sex, education, comorbidity, and depression conditions.

CONCLUSIONS

Prolonged daily SB was associated with higher risks of dementia, functional disability, and mortality in older adults, regardless of MVPA, sex, education, and chronic conditions. Individuals with high MVPA also face considerable risks when engaging in high SB. High MVPA with high SB revealed a comparable risk to no MVPA with low SB.

The Effect of Business Operating Systems on Nursing Home Termination

Objectives: Nursing home terminations have increased worldwide due to rising costs, staffing shortages, and the coronavirus disease pandemic. However, little is known about the impact that business operating systems have on nursing home termination. Methods: This study used the National Long-term Care database, which comprised 7,842 operating nursing homes in January 2018. Nursing home termination was identified when nursing homes discontinued provision of long-term care services to all residents between January 2018 and December 2020. Business operating systems that were reimbursed by the LTC insurance system were the exposure of interest. The logistic regression model for nursing home termination included a series of organizational, internal, and external factors as covariates. Results: From 2018 to 2020, 83 (1.1%) nursing homes were terminated. The proportion of reimbursed nursing homes varied greatly depending on the type of business operating systems. Implementing physical function training and improving working conditions were significantly associated with a lower risk of nursing home termination. Conclusion: Financial incentives to several business operating systems are an effective way to build a sustainable environment for nursing homes to continue to exist.

Regional variation in long-term care spending in Japan

Background

Health inequalities are widening in Japan, and thus, it is important to understand whether (and to what extent) there is a regional variation in long-term care (LTC) spending across municipalities. This study assesses regional variation in LTC spending and identifies the drivers of such variation.

Methods

We conducted a cross-sectional study using publicly available municipality-level data across Japan in 2019, in which the unit of analysis was municipality. The outcome of interest was per-capita LTC spending, which was estimated by dividing total LTC spending in a municipality by the number of older adults (people aged ≥ 65). To further identify drivers of regional variation in LTC spending, we conducted linear regression of per-capita spending against a series of demand, supply, and structural factors. Shapley decomposition approach was used to highlight the contribution of each independent variable to the goodness of fit of the regression model.

Results

In Fiscal 2019, per-capita LTC spending varied from 133.1 to 549.9 thousand yen (max/min ratio 4.1) across the 1460 municipalities analyzed, showing considerable regional variation. The included covariates explained 84.0% of the total variance in LTC spending, and demand-determined variance was remarkably high, which contributed more than 85.7% of the overall R². Specifically, the highest contributing factor was the proportion of severe care-need level and care level certification rate.

Conclusions

Our results demonstrate that, even after adjusting for different municipalities’ age and sex distribution, there is a large variation in LTC spending. Furthermore, our findings highlight that, to reduce the spending gap between municipalities, the issues underlying large variations in LTC spending across municipalities must be identified and addressed.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14194-6.