Observational studyMedicine2026
Variation in transitional care implementation patterns for older adults with stroke in Japan: A retrospective observational study.
Observational study in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Transitional care is a critical component of healthcare quality and patient outcomes. This retrospective observational study aimed to descriptively identify transitional care service implementation patterns for patients with ischemic stroke in Japanese acute care hospitals and examine their associations with hospital-level characteristics using the Japan Medical Data Center hospital-based claims database. A total of 14,129 patients aged ≥40 years admitted for ischemic stroke and discharged from Japanese acute care hospitals between April 2022 and August 2023. We examined 10 transitional care services from billing claims and grouped them into 4 domains. These 4 binary indicators were used in a Latent Class Analysis to identify unobserved implementation patterns. Conditional inference tree analysis, incorporating hospital- and patient-level variables, was applied to assess characteristics associated with each pattern. Sensitivity analyses using fractional logit regression were conducted to address uncertainty in pattern assignment. Three distinct transitional care service implementation patterns were identified. Two patterns emphasized patient/family education and information transfer, while the third involved resource-intensive services, including discharge planning and structured coordination with post-discharge providers. These patterns were significantly associated with the number of beds and patient age (all P < .01). Sensitivity analyses confirmed the number of beds as a consistent, significant factor across patterns. Transitional care service implementation patterns varied across hospitals, likely reflecting structural characteristic differences, particularly hospital size. Larger hospitals tended to implement more comprehensive combinations of transitional care services. These findings highlight how structural characteristics may contribute to variation in transitional care service delivery.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.