Evidence map›Paper›PMID 40676551›Full record

ArticleBMC public health2025

Impact of regional digital transformation on public health: an empirical analysis based on 31 provinces in China.

Xingjuan Xu, Yuanyuan Zhang, Yadong Wang, Chenjian Zhao, Yuhang Zhang, Xuefeng Xie

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Xingjuan XuSchool of Pharmacy, Anhui Medical University, Hefei, Anhui Province, China.
Yuanyuan ZhangSchool of Pharmacy, Anhui Medical University, Hefei, Anhui Province, China.
Yadong WangSchool of Pharmacy, Anhui Medical University, Hefei, Anhui Province, China.
Chenjian ZhaoSchool of Pharmacy, Anhui Medical University, Hefei, Anhui Province, China.
Yuhang ZhangSchool of Pharmacy, Anhui Medical University, Hefei, Anhui Province, China.
Xuefeng XieSchool of Pharmacy, Anhui Medical University, Hefei, Anhui Province, China. xiexuefengahmu@126.com.

Funding

Key Laboratory of Public Health Social Governance, Philosophy and Social Sciences of Anhui Province PHG2023016The Smart Pharmacy and Social Governance of Pharmaceutical Risks Program of Anhui Province 2023AH010038
6 · The paper itself

Abstract

backgroundWith the rapid development of digital transformation driven by big data and artificial intelligence in China, the field of public health is undergoing profound transformations. This study introduces technological innovation as a mediating variable into an analytical framework to systematically explore the impact of digital transformation on public health and the underlying mechanism.

methodsUsing panel data from 31 provinces in mainland China from 2010 to 2019, this study empirically investigated the impact of digital transformation on public health via two-way fixed-effect analysis. Moreover, the internal mechanism was determined by testing the mediation effect of technological innovation.

resultsThe research findings showed a significant positive relationship between digital transformation and improvements in public health. Mediation effect analysis indicated that digital transformation enhances public health by fostering technological innovation. Additional analysis revealed that the promoting effect in the central and western regions of China is more pronounced than that in the eastern regions.

conclusionThis study unveils that digital transformation significantly improves public health, especially through enhanced technological innovations that achieve health improvement, and proposes specific recommendations for future health development strategies. It not only offers a scientific foundation for government digital health policies but also provides a forward-looking perspective for academics engaged in the field of digital transformation and public health. Additionally, it empirically verifies the differential impacts of digital technology on public health across regions, provides scientific references for optimizing health resource allocation and narrowing regional health gaps, and contributes empirical findings toward achieving a Healthy China.

Indexed as

Digital TechnologyPublic HealthArtificial IntelligenceChinaEmpirical ResearchHumansDigital transformationPublic healthTechnological innovationTwo-way fixed effect model

Identifiers

PMID40676551
PMCPMC12273053

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.