Evidence map›Paper›PMID 41299469›Full record

ArticleBMC health services research2025

The impact of digital inclusive finance on medical and health service expenditures in urban and rural areas of Xinjiang Uygur Autonomous Region.

Chunyang Feng, Ruijiao Lu, Yangyang Wang, Guoxin Yu

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Chunyang FengCollege of Economics and Management, Xinjiang Agricultural University, No. 311 East Nongda Road, Urumqi, 830052, China.
Ruijiao LuDepartment of Medical Laboratory Center, Tumor Hospital Affiliated to Xinjiang Medical University, Urumqi, China.
Yangyang WangERA CO., LTD, Taizhou, Zhejiang, China.
Guoxin YuCollege of Economics and Management, Xinjiang Agricultural University, No. 311 East Nongda Road, Urumqi, 830052, China. 1812029646@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to examine the impact of the development of digital inclusive finance (DIF) at the regional level on the medical and health service expenditures of urban and rural residents in Xinjiang Uygur Autonomous Region(Xinjiang), so as to help build a new DIF system, and make contributions to better serving the medical security of residents.

methodsIn this study, a large-scale questionnaire survey was used to analyze the cognition of DIF in Xinjiang and the differences in its application in the medical field. With the Xinjiang DIF index in 2022 as the explanatory variable and the total actual medical expenditure of residents as the explained variable. Regression analysis was performed using Stata 18.0 to explore the impact of regional level DIF (total index of DIF, coverage breadth, depth of use, and digitalization degree), individual-level related and regional disparity factors, on the healthcare service expenditures of residents in Xinjiang.

resultsFor every one-unit increase in the total index of DIF, the probability of residents entering the high medical expenditure tier increases by 23.45 times. Among the sub-dimensions, the promoting effects of coverage breadth and digitalization degree are the strongest, both significantly higher than that of depth of use. Gender, age, education background, understanding of DIF, regional division, ethnic composition and other factors all have an impact on residents’ medical and health service expenditures.

conclusionsIn order to promote the development of medical security for urban and rural residents in Xinjiang, it is necessary to continuously enrich the digital application scenarios of DIF for residents and give full play to the role of DIF in promoting people’s livelihood.

Indexed as

Health ExpendituresRural PopulationUrban PopulationAdultChinaDigital HealthFemaleHumansMaleMiddle AgedSurveys and QuestionnairesAndersen’s behavioral modelDigital inclusive financeInfluencing factorsMedical and health service expenditures

Identifiers

PMID41299469
PMCPMC12659326

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LicenceCC BY-NC-ND
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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.