Evidence map›Paper›PMID 27549793›Full record

ArticleBMC health services research2016

Effects of China's New Rural Cooperative Medical Scheme on reducing medical impoverishment in rural Yanbian: An alternative approach.

Mei Sun, Jay J Shen, Chengyue Li, Christopher Cochran, Ying Wang, Fei Chen, Pingping Li, Jun Lu, Fengshui Chang, Xiaohong Li and 1 more

Abstract read
In one paragraph

Article in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

11 authors.

Mei SunResearch Institute of Health Development Strategies, Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Jay J ShenDepartment of Health Care Administration and Policy, School of Community Health Sciences, University of Nevada, Las Vegas, 4505 S. Maryland Parkway, Box 453023, Las Vegas, NV, 89154-3023, USA.
Chengyue LiResearch Institute of Health Development Strategies, Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Christopher CochranDepartment of Health Care Administration and Policy, School of Community Health Sciences, University of Nevada, Las Vegas, 4505 S. Maryland Parkway, Box 453023, Las Vegas, NV, 89154-3023, USA.
Ying WangResearch Institute of Health Development Strategies, Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Fei ChenResearch Institute of Health Development Strategies, Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Pingping LiResearch Institute of Health Development Strategies, Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Jun LuResearch Institute of Health Development Strategies, Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Fengshui ChangResearch Institute of Health Development Strategies, Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Xiaohong LiResearch Institute of Health Development Strategies, Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, 130 Dong An Road, Shanghai, 200032, China.
Mo HaoResearch Institute of Health Development Strategies, Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, 130 Dong An Road, Shanghai, 200032, China. haomo03@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroudThis study aimed to measure the poverty head count ratio and poverty gap of rural Yanbian in order to examine whether China's New Rural Cooperative Medical Scheme has alleviated its medical impoverishment and to compare the results of this alternative approach with those of a World Bank approach.

methodsThis cross-sectional study was based on a stratified random sample survey of 1,987 households and 6,135 individuals conducted in 2008 across eight counties in Yanbian Korean Autonomous Prefecture, Jilin province, China. A new approach was developed to define and identify medical impoverishment. The poverty head count ratio, relative poverty gap, and average poverty gap were used to measure medical impoverishment. Changes in medical impoverishment after the reimbursement under the New Rural Cooperative Medical Scheme were also examined.

resultsThe government-run New Rural Cooperative Medical Scheme reduced the number of medically impoverished households by 24.6 %, as well as the relative and average gaps by 37.3 % and 38.9 %, respectively.

conclusionsChina's New Rural Cooperative Medical Scheme has certain positive but limited effects on alleviating medical impoverishment in rural Yanbian regardless of how medical impoverishment is defined and measured. More governmental and private-sector efforts should therefore be encouraged to further improve the system in terms of financing, operation, and reimbursement policy.

Indexed as

PovertyAdolescentAdultAgedChildChild, PreschoolChinaCross-Sectional StudiesFemaleFinancial SupportHealth Care SurveysHealth PolicyHumansInfantMaleMiddle AgedEvaluation approachMedical impoverishmentNew rural cooperative medical schemePolicy effectsPovertyRural

Identifiers

PMID27549793
PMCPMC4994392

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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.