Evidence map›Paper›PMID 42544284›Full record

ArticleJournal of physical therapy science2026

Regional disparity in the use of a financial incentive for device-assisted rehabilitation: an ecological study in Kanagawa, Japan.

Daisuke Kubo, Takuya Hirose, Yushi Asaoka

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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.

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

3 authors.

Daisuke KuboDepartment of Health Data Science, Yokohama City University: 22-2 Seto, Kanazawa-ku, Yokohama, Kanagawa 236-0027, Japan.
Takuya HiroseDepartment of Health Data Science, Yokohama City University: 22-2 Seto, Kanazawa-ku, Yokohama, Kanagawa 236-0027, Japan.
Yushi AsaokaPhysical Therapy Course, Department of Rehabilitation, Faculty of Health Sciences, Nihon Institute of Medical Science, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] We evaluated the utilization of a financial incentive for functional electrical stimulation and robot-assisted rehabilitation in Kanagawa Prefecture, and assessed geographic variations and related regional indicators. [Participants and Methods] Participants were from nine secondary medical areas in Kanagawa Prefecture. We used fiscal year 2022 standardized claim ratios from the Cabinet Office dataset and summarized the standardized claim ratios for the financial incentive claimable within 2 months post-onset and evaluated associations with selected regional indicators of demand, service provision, and care settings. [Results] The standardized claim ratio for the financial incentive ranged from 3.3 to 223.3 (mean, 64.0; median, 36.8). Only the standardized claim ratios of Yokosuka-Miura and Yokohama exceeded the national average (standardized claim ratio, ≥100). The standardized claim ratio for the financial incentive showed no statistically significant association with standardized claim ratios for cerebral infarction inpatients, convalescent rehabilitation fees, or cerebrovascular rehabilitation volume. [Conclusion] Utilization of the financial incentive program varied widely across secondary medical areas in Kanagawa Prefecture. The eligibility window of 2 months from symptom onset may have contributed to this variation and may not have fully aligned with the current guideline statements for robot-assisted training for upper limb function.

Indexed as

Functional electrical stimulationRehabilitation policyRobot-assisted rehabilitation

Identifiers

PMID42544284
PMCPMC13429272

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Registered trials

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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.