Evidence map›Paper›PMID 40993556›Full record

ArticleBMC public health2025

The equity of health service utilization in less developed areas of China: evidence from Gansu Province.

Jiaxian Zhou, Jianmiao Li, Ningwen Mao, Shuyi Li, Xi Chen, Dan Wang, Yanxia Zhang, Xiaoru Shi, Xin Gao, Shengxin Tao and 3 more

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 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

13 authors.

Jiaxian ZhouSchool of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China.
Jianmiao LiGraduate student in Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China.
Ningwen MaoSchool of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China.
Shuyi LiSchool of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China.
Xi ChenSchool of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China.
Dan WangSchool of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China.
Yanxia ZhangSchool of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China.
Xiaoru ShiSchool of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China.
Xin GaoGraduate student in Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China.
Shengxin TaoGraduate student in Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China.
Xuhong PuGraduate student in Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China.
Jie LuGraduate student in Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China. 503287766@qq.com.
Xiaobin HuSchool of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China. lzhuxb@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEquity is a key issue in the utilization of health services. However, existing research have focused on the developed eastern regions of China, and fails to account for the equity of the level of health service utilization (out-of-pocket payments). This study aims to assess the equity of health service utilization. By analyzing socioeconomic disparities in access to medical services, we seek to identify key barriers and provide evidence for policymakers to improve equitable healthcare delivery in resource-limited settings. MATHODS: Taking the data of the 7th National Health Service Survey in Gansu Province as an example, based on Anderson model, the equity of health service utilization and its influencing factors were evaluated by using the centralized index and its decomposition method. On this basis, it screened out patients who had used outpatient or inpatient services from the survey subjects, and extracted their out-of-pocket payments incurred by using the above services. Recentered influence functions regression and its decomposition method were used to analyze the equity difference of health service utilization level between urban and rural residents, and the contributing factors were discussed.

resultThe centralized index of outpatient service utilization was 0.0422 and - 0.0268, and the centralized index of inpatient service utilization was 0.1462 and - 0.1294, respectively. The utilization of both outpatient and inpatient services tends to be high income residents in cities, while in rural areas, the lower the economic level of residents, the higher the utilization rate. Further analysis of the level of health service utilization showed that the Gini coefficients of out-of-pocket payments for urban and rural patients were 0.703 and 0.748, respectively, indicating a large inequality. Recentered influence functions regression and its decomposition results show that rural patients have greater inequality than urban patients in out-of-pocket payments for out-patient and in-patient care, and there is discrimination effect.

conclusionAt present, there are still inequities in the utilization of health services in less developed areas of China, especially in the utilization of inpatient services, but the degree of inequity is reduced compared with previous studies. In terms of the fairness of health service utilization level, the inequality degree of rural residents is greater than that of urban residents, and there is a greater discrimination effect. This finding suggests that it needs to develop and implement health equity policies for rural residents to ensure that they are not discriminated against in their access to health services. Equity in the utilization of health services is also monitored and evaluated to ensure the effectiveness of the policies and equal treatment in their implementation.

Indexed as

Healthcare DisparitiesHealth ServicesHealth Services AccessibilityAdolescentAdultChinaFemaleHealth ExpendituresHumansMaleMiddle AgedRural PopulationSocioeconomic FactorsUrban PopulationYoung AdultAnderson modelConcentration indexEquityGini coefficientHealth service utilizationLess developed areasOut-of-pocket paymentsRecentered influence functions regression

Identifiers

PMID40993556
PMCPMC12462195

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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.