Evidence map›Paper›PMID 35659640›Full record

ArticleBMC public health2022

Socio-economic inequalities in health service utilization among Chinese rural migrant workers with New Cooperative Medical Scheme: a multilevel regression approach.

Dan Li, Jian Zhang, Jinjuan Yang, Yongjian Xu, Ruoxi Lyu, Lichen Zhong, Xiao Wang

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% of its field
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, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Dan LiSchool of Public Management, Northwest University, Xi'an, PR China.
Jian ZhangSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, 710049, PR China.
Jinjuan YangSchool of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China.
Yongjian XuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, 710049, PR China. wgsxyj@xjtu.edu.cn.
Ruoxi LyuInternational Business School Suzhou, Xi'an Jiaotong-Liverpool University, Xi'an, PR China.
Lichen ZhongInternational Business School Suzhou, Xi'an Jiaotong-Liverpool University, Xi'an, PR China.
Xiao WangInternational Business School Suzhou, Xi'an Jiaotong-Liverpool University, Xi'an, PR China.
Xi’an Jiaotong-Liverpool University · CNXi'an Jiaotong University · CNNorthwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile reducing inequity in health service utilization is an important goal of China's health system, it has been widely acknowledged that a huge number of rural migrant workers cannot be effectually protected against risks with the New Rural Cooperative Medical Insurance (NCMS).

methodData of the 2016 China Labor-force Dynamic Survey and the Chinese Urban Statistical Yearbook were used. The multilevel regression approach was implemented with a nationally representative sample of rural migrant workers with NCMS. Our study adopted the concentration index and its decomposition method to quantify the inequality of their health service utilization.

resultThe multilevel model analysis indicated that impact variables for health service utilization were not concentrated, especially the contextual and individual characteristics. The concentration indices of the probability of two weeks outpatient and the probability of inpatient were -0.168 (95%CI:-0.236,-0.092) and -0.072 (95%CI:-1.085,-0.060), respectively. The horizontal inequality indices for the probability of two-week outpatient and the probability of inpatient were -0.012 and 0.053, respectively.

conclusionThe health service utilization of rural migrant workers with NCMS is insufficient. Our study highlighted that substantial inequalities in their health service utilization did exist. In addition, their need of health service utilization increased the pro-poor inequality. Based on the findings, our study offered notable implications on compensation policies and benefit packages to improve the equality among rural migrant workers with NCMS.

Indexed as

Transients and MigrantsChinaHealthcare DisparitiesHealth ServicesHumansInsurance, HealthRural PopulationSocioeconomic FactorsHealth service utilizationInequalityMultilevel regression approachNew Cooperative Medical SchemeRural migrant workers

Identifiers

PMID35659640
PMCPMC9164856
OpenAlexW4281740550

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LicenceCC BY
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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.