Evidence map›Paper›PMID 41390375›Full record

ArticleBMC geriatrics2025

Persistence and irreversibility of care-demanding status: insights from long-term care claims data in Japan.

Minamo Mikoshiba, Akira Kawamura, Toshihide Awatani, Haruko Noguchi

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Minamo MikoshibaGraduate School of Economics, Hitotsubashi University, 2-1 Naka, Kunitachi, Tokyo, 186-8601, Japan. minamo.mikoshiba@r.hit-u.ac.jp.
Akira KawamuraFaculty of Human Sciences, Waseda University, Tokorozawa, Saitama, Japan.
Toshihide AwataniDepartment of Family Medicine, Kochi Medical School, Kochi University, Nankoku, Kochi, Japan.
Haruko NoguchiFaculty of Political Science and Economics, Waseda University, Shinjuku, Japan.

Funding

Ministry of Education, Culture, Sports, Science and Technology 20K20418Ministry of Health, Labour and Welfare 19FA1013
6 · The paper itself

Abstract

backgroundProfiling disability and mortality risks in older adulthood is essential for government planning, resource allocation, and care services provision. This study showed trajectory of disability and mortality risks using objective measures derived from administrative long-term care insurance (LTCI) claims data in Japan.

methodsThis cohort study used longitudinal data from LTCI claims, linked with death certificates, and supplemented with population data for non-LTCI eligible individuals, from 2006 to 2018. The dataset comprised 30,347,066 older adults’ records aged 65–94 eligible for LTCI within 1912–1951 birth cohorts (7,221,142 unique individuals). The definition of disability was based on LTCI claims data, quantified by standard hours of care. One-year interval transition probabilities of disability and mortality, categorized by age, sex, and care demanded level, were estimated using a first-order Markov chain.

resultsThe participants had a mean age of 83.8 years (SD = 6.8), with 69.5% being female. Eligibility rates sharply increased in the mid-70s, reaching at 66.8% (81.1%) at 94 years of age for males (females). Probabilities of transitioning to no-disability were almost zero, while maintaining the same level of care showed notably high probabilities, ranging from 60.3% to 99.2% across all ages, sexes, and current care levels. Transition from light-cognitive to heavy-cognitive status ranged between 19.1% and 24.5%. Monte Carlo simulations demonstrated almost perfect predictability of disability and mortality risks in older adults, with maximum difference, 3.2 (2.6) ppt for disability (mortality).

conclusionsCare service demand proves mostly irreversible. Measures should focus on preventing worsening disability levels in older adults without disabilities or with only light disabilities, with particular emphasis on preventing cognitive impairment.

Indexed as

Insurance, Long-Term CareLong-Term CarePersons with DisabilitiesAgedAged, 80 and overCohort StudiesFemaleHumansJapanLongitudinal StudiesMaleCognitive impairmentDisabilityFirst-order Markov chainMonte Carlo simulationsMortality

Identifiers

PMID41390375
PMCPMC12860092

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.