Evidence map›Paper›PMID 39730846›Full record

ArticleScientific reports2024

The impact of informatization development on healthcare services in China.

Aishan Ye, Yangyang Deng, Xiaohua Li, Guosong Shao

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

4 authors.

Aishan YeYonyou Digital and Intelligence School, Nantong Institute of Technology, Nantong, China.
Yangyang DengYonyou Digital and Intelligence School, Nantong Institute of Technology, Nantong, China.
Xiaohua LiBusiness School, Nantong Institute of Technology, Nantong, China.
Guosong ShaoThe Center for Internet and Society, Nantong Institute of Technology, 211 Yongxing Road, Nantong, 226002, China. 20239392@ntit.edu.cn.

Funding

National Social Science Fund of China 19ZDA328National Social Science Fund of China 22BKS143Philosophy and Social Sciences Fund for Universities in Jiangsu Province 2024SJYB1261
6 · The paper itself

Abstract

China faces substantial challenges in healthcare access and quality, marked by significant regional disparities. While the potential of informatization to enhance healthcare services is increasingly acknowledged, the specific mechanisms through which it impacts healthcare delivery remain underexplored. By employing provincial panel data and dynamic spatial panel models, we aim to uncover the mechanisms through which informatization impacts healthcare delivery. Our findings reveal notable regional differences, with the Eastern and Central regions leading in service levels, while the Western and Northeastern regions lag behind. Both informatization development and healthcare services demonstrate significant spatial interaction effects, indicating that improvements in informatization can positively influence healthcare services overall. However, the impact varies: while informatization benefits the Northeastern and Western regions, its effect in the Eastern region is not statistically significant, and the Central region experiences a negative impact. Furthermore, advancements in informatization in the Eastern and Central regions have the potential to enhance healthcare services in the Western and Northeastern regions. By providing empirical insights that identify key digital factors to enhance healthcare efficiency and quality, this study can assist policymakers in China and around the world in adopting more effective strategies to reduce the digital divide in healthcare and promote the development of more equitable and efficient healthcare systems.

Indexed as

Delivery of Health CareChinaHealthcare DisparitiesHealth ServicesHealth Services AccessibilityHumansChinaDynamic spatial panel modelHealthcare servicesInformatizationRegional disparities

Identifiers

PMID39730846
PMCPMC11680860

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.