Evidence map›Paper›PMID 42563983›Full record

ArticleFrontiers in public health2026

Older adults' adoption of shared service platforms outside long-term care insurance in Japan based on technology acceptance model.

Chao Li, Chunji Zheng, Ziheng Lv

Abstract read
In one paragraph

Article in Frontiers in public health, 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.

Chao LiSchool of Business, Guilin University of Technology, Guilin, China.
Chunji ZhengSchool of Social Welfare, Tokyo University of Social Welfare, Tokyo, Japan.
Ziheng LvSchool of Social Welfare, Tokyo University of Social Welfare, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The services that are not covered by the long-term care insurance play a critical role in supplementing the public care system in the aging society of Japan. Their combination with technologies of the shared economy is not only an extension of the shared economy into the specialized service market, but it is also a natural demand of the market in the long-term care service market that is the necessity to innovate and develop. This study constructed a technology acceptance extension model, using the Tokyo area as the survey scope. 486 valid samples were collected through a questionnaire survey, and partial least squares structural equation modeling was used to conduct hypothesis testing and empirically analyze the acceptance behavior of the older adult towards shared service platforms outside of long-term care insurance. The main findings are: (1) Scene characteristics may have a reshaping effect on the local behavior of the older adult in technology acceptance. (2) The single cognitive load of new technology in old scenes and the dual cognitive load of new technology in new scenes may be key to whether the older adult technology acceptance behavior undergoes local reshaping. (3) The "first principle" of perceived ease of use in the cognitive logic of the older adult group is emphasized. (4) The "external social construction" of perceived usefulness and the "endogenous individual defense" of perceived risk may be the unique cognitive logic of acceptance behavior in such scenarios.

Indexed as

Insurance, Long-Term CareAgedAged, 80 and overFemaleHumansJapanMaleSurveys and Questionnairesbehavioral intentionlong-term care insuranceLTCIolder adultssharing economyTAMtechnology acceptance model

Identifiers

PMID42563983
PMCPMC13441758

What OpenQuestion holds

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LicenceCC BY
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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.