Evidence map›Paper›PMID 29929506›Full record

ArticleBMC health services research2018

Impact of new rural cooperative medical scheme on the equity of health services in rural China.

Jianhua Chen, Hengjin Dong, Hai Yu, Yaming Gu, Tao Zhang

Abstract readMulticenter Study
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

5 authors.

Jianhua ChenSir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Hengjin DongCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Hai YuZhejiang University School of Medicine, Hangzhou, China. yuhai@zju.edu.cn.
Yaming GuDepartment of Primary Health Care Delivery System, Health and Family Planning Commission of Zhejiang Province, Hangzhou, China.
Tao ZhangNingbo Municipal Center for Disease Control and Prevention, Ningbo, Zhejiang Province, China.

Funding

National Natural Science Foundation of China 71373102
6 · The paper itself

Abstract

backgroundTo explore the equity in health services in the rural areas, by studying the rural residents in two counties of Ningbo City, Zhejiang.

methodsMulti-stage stratified cluster random sampling method was performed to draw the study sample. Trained investigators conducted face to face interviews using a questionnaire. Rural residents were stratified into 5 income groups. Centralized index (CI) and risk ratios (RR) were used to assess the equity in health services and the impact of the New Cooperative Medical Scheme (NCMS).

resultsThe centralized index of the 2 weeks prevalence, two-week visiting rate and chronic disease prevalence among different income groups was - 0.0264, - 0.0076 and - 0.0160, respectively, while that of the hospitalization rate was 0.0006. The highest NCMS coverage rate, adjusted risk of disease and catastrophic health expenditure (CHE) rates were observed in lowest income groups (92.86, 4.94 and 32.21%, respectively. Two-week prevalence, chronic diseases prevalence and RR showed a declining trend with increasing income levels.

conclusionNCMS has improved the service availability and reduced the economic burden of diseases. However, its impact on reducing the economic risk of illness and promoting equity in health services has not been significant.

Indexed as

Healthcare DisparitiesChinaFemaleHealth ExpendituresHealth Services Needs and DemandHospitalizationHumansInsurance, HealthMaleMiddle AgedRural Health ServicesRural PopulationSurveys and QuestionnairesEquityHealth services utilizationNew cooperative medical schemeRural residents

Identifiers

PMID29929506
PMCPMC6013905

What OpenQuestion holds

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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.