Evidence map›Paper›PMID 42158041›Full record

ArticleInternational journal of public health2026

Smart city development and medical service performance: evidence from a province-level panel study in China.

Xu Shao, Xi Liu, Jie Che, Bing Yang

Abstract read
In one paragraph

Article in International journal of 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

4 authors.

Xu ShaoSchool of Law and Public Administration, Leshan Normal University, Leshan, China.
Xi LiuDepartment of Economics and Trade, Sichuan Business Vocational College, Chengdu, China.
Jie CheDepartment of Tourism Management, Sichuan Business Vocational College, Chengdu, China.
Bing YangSchool of Law and Public Administration, Leshan Normal University, Leshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study examines whether smart city development is associated with improvements in medical service performance across Chinese provinces, addressing the limited large-scale quantitative evidence on digital governance and healthcare systems in developing-country contexts. Methods: A balanced province-level panel dataset covering 31 provinces in mainland China from 2013 to 2024 was constructed using national statistical yearbooks and official smart city pilot lists. Medical service performance was measured by a composite Medical Service Performance Index (MSPI) capturing healthcare utilization structure, care quality, and preventive health management capacity. Two-way fixed effects models were applied to estimate the association between smart city exposure and healthcare system performance. Results: Higher smart city exposure is associated with improved medical service performance. In baseline models, smart city exposure is positively related to MSPI (β = 0.182, p < 0.01). Mechanism analyses show improvements in preventive health management (β = 0.184, p < 0.01), care quality (β = 0.135, p < 0.01), and reduced reliance on high-intensity hospital services (β = -0.120, p < 0.01). After accounting for these mechanisms, the direct association becomes statistically insignificant. Conclusion: Smart city development is linked to better medical service performance in China, suggesting that digital governance initiatives may strengthen healthcare systems through improved coordination, care quality, and preventive health management.

Indexed as

Delivery of Health CareQuality of Health CareUrban RenewalChinaDigital HealthHumansChinadigital governancehealthcare systemsmedical service performancesmart city development

Identifiers

PMID42158041
PMCPMC13180713

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.