Evidence map›Paper›PMID 42495056›Full record

ArticleFrontiers in digital health2026

The impact of social influence and perceived value on usage intention of county-level "Internet + Medical Health" services: a moderating analysis of region.

Lei Zhao, Lai Wei, Qingsong Zhang, Renfen Tian

Abstract read
In one paragraph

Article in Frontiers in digital 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
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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

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

4 authors.

Lei ZhaoSchool of Public Health, Zunyi Medical University, Zunyi, Guizhou, China.
Lai WeiSchool of Management, Zunyi Medical University, Zunyi, Guizhou, China.
Qingsong ZhangSchool of Public Health, Zunyi Medical University, Zunyi, Guizhou, China.
Renfen TianSchool of Public Health, Zunyi Medical University, Zunyi, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to explore the association of social influence and perceived value with usage intention of "Internet + Medical Health" services, and examine the model changes with region as a moderating variable, so as to explore key predictors of usage intention and examine regional moderation, with a view to informing targeted policy and practice recommendations. Methods: Based on the Technology Acceptance Model (TAM), an empirical study was conducted using questionnaire surveys. The data were analyzed and the structural equation model was constructed by AMOS software. Results: The results showed that patients' perceived value ( Conclusion: Social influence, perceived value, perceived ease of use and perceived usefulness are the key factors associated with patients' intention to use "Internet + Medical Health" services. Rural patients are more susceptible to social influence, which further adjusts their perceived value and changes their usage intention. To promote the in-depth integration of "Internet + Medical Health" services, it is necessary to coordinate technological ease of use, social communication and value cognition, focus on social guidance for rural patients, improve their health information literacy, and optimize the reduction of service costs of Internet-based medical care.

Indexed as

Internet + Medical healthperceived valueregionsocial influenceusage intention

Identifiers

PMID42495056
PMCPMC13391872

What OpenQuestion holds

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LicenceCC BY
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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.