Dataset Information

Trajectories of end-of-life medical and long-term care expenditures for older adults in Japan: retrospective longitudinal study using a large-scale linked database of medical and long-term care claims.

ABSTRACT:

Background

An accurate understanding of the current state of end-of-life care is important for healthcare planning. The objectives of this study were to examine the trajectories of end-of-life medical and long-term care expenditures and associated factors.

Methods

This was a retrospective longitudinal study using a large-scale linked database of medical and long-term care claims-National Health Insurance, Advanced Elderly Medical Insurance, and long-term care insurance-covering Prefecture A in Japan. Patients aged ≥70 years who died between April 1, 2016, and March 31, 2017, were included (N = 16,084 patients; mean age = 85.1 ± 7.5 years; 7804 men (48.5%) and 8280 women (51.5%)). The outcome measures were medical expenditures (inpatient, outpatient, and prescription), long-term care expenditures, and total healthcare expenditures (the sum of medical and long-term care expenditures) during the 60 months before the date of death. We calculated each patient's monthly medical and long-term care expenditures for 60 months before the date of death and applied group-based trajectory modeling to identify distinct trajectories. Factors associated with spending trajectories were examined via multinomial logistic regression analyses. Explanatory variables included age, sex, diseases, and the medical services used.

Results

We identified six distinct spending trajectories for the total healthcare expenditures: high persistent (45.6%), medium-to-high persistent (26.1%), early rise then high persistent (9.8%), late rise (6.4%), low persistent then very late rise (i.e., when spending starts increasing later than "late rise"; 6.4%), and progressive increase (5.7%). Factors associated with the high-persistent trajectory were chronic illnesses, various organ failures, neurodegenerative diseases, fractures, and tube feeding. The trajectory pattern of medical expenditures was similar to that of total healthcare expenditures; however, a different pattern was seen for long-term care expenditures.

Conclusions

Regarding combined medical and long-term care spending of the last 5 years, most patients belonged to a pattern in which the healthcare expenditures remained high, and a combination of multiple factors contributed to these patterns. This finding can offer healthcare providers a longer-term perspective on end-of-life care.

SUBMITTER: Teraoka E

PROVIDER: S-EPMC8243899 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BACKGROUND:The occurrence of multimorbidity (i.e., the coexistence of multiple chronic diseases) increases with age in older adults and is a growing concern worldwide. Multimorbidity has been reported to be a driving factor in the increase of medical expenditures in OECD countries. However, to the best of our knowledge, there is no published research that has examined the associations between multimorbidity and either long-term care (LTC) expenditure or the sum of medical and LTC expenditures worldwide. We, therefore, aimed to examine the associations of multimorbidity with the sum of medical and LTC expenditures for older adults in Japan. METHODS:Medical insurance claims data for adults ≥75 years were merged with LTC insurance claims data from Kashiwa city, a suburb in the Tokyo metropolitan area, for the period between April 2012 and September 2013 to obtain an estimate of medical and LTC expenditures. We also calculated the 2011 updated and reweighted version of the Charlson Comorbidity Index (CCI) scores. Then, we performed multiple generalized linear regressions to examine the associations of CCI scores (0, 1, 2, 3, 4, or ≥ 5) with the sum of annual medical and LTC expenditures, adjusting for age, sex, and household income level. RESULTS:The mean sum of annual medical and LTC expenditures was ¥1,086,000 (US$12,340; n = 30,042). Medical and LTC expenditures accounted for 66 and 34% of the sum, respectively. Every increase in one unit of the CCI scores was associated with a ¥257,000 (US$2920); 95% Confidence Interval: ¥242,000, 271,000 (US$2750, 3080) increase in the sum of the expenditures (p < 0.001; n = 29,915). CONCLUSIONS:Using a merged medical and LTC claims dataset, we found that greater CCI scores were associated with a higher sum of annual medical and LTC expenditures for older adults. To the best of our knowledge, this is the first study to examine the associations of multimorbidity with LTC expenditures or the sum of medical and LTC expenditures worldwide. Our study indicated that the economic burden on society caused by multimorbidity could be better evaluated by the sum of medical and LTC expenditures, rather than medical expenditures alone.