Evidence map›Paper›PMID 28028435›Full record

ArticleJournal of global health2016

Age or health status: which influences medical insurance enrollment greater?

Wei Xu, Gong-Jie Cai, Guan-Nan Li, Jing-Jing Cao, Qiong-Hua Shi, Jie Bai

Open access · goldAbstract read
In one paragraph

Article in Journal of global health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

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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

6 citing papers in PubMed, 13 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

6 authors at 2 institutions in 2 countries.

Wei XuSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Gong-Jie CaiSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Guan-Nan LiSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Jing-Jing CaoInstitute of Chinese Medical Science, University of Macau, Macau, China.
Qiong-Hua ShiSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Jie BaiSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
China Pharmaceutical University · CNUniversity of Macau · MO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe New Cooperative Medical Scheme (NCMS) for peasantries implemented in 2003 and the Urban Resident Basic Medical Insurance (URBMI) for the urban unemployed implemented in 2007 have many similarities. They both apply the financing mode of individual premiums plus government's subsidies, and the voluntary enrollment. The Chinese government plans to integrate these two systems and build a unified basic medical insurance system for the unemployed in order to achieve the medical equity and increase the general health level. Thus, to analyze the main influencing factors of the enrollment of the urban unemployed and rural residents is very important for improving the system and securing the stability of the system during the transition.

methodsThe study uses data from the China Health and Nutrition Survey (CHNS) and adopts logistic regression models to test which factors influence the enrollment of the URBMI and the NCMS under the background of rather high enrollment rate of Chinese basic medical insurances and strong fiscal support of the Chinese government, especially whether health status or age influences enrollment of these two insurances greater.

resultsThere is indeed some adverse selection in the URBMI and the NCMS. Whether the individual has chronic diseases have significant influence on enrollments of both the urban unemployed and rural residents, while whether the individual got ill in last four weeks just influences enrollments of the urban unemployed. Age influences enrollment greater than health status. The older the insured are, the larger the enrollment rates are.

conclusionBecause of the active support for basic medical insurances of the Chinese government, the enrollment performance of the urban unemployed and rural residents has already changed. When implementing the new policy, the government should pay attention to the willingness to enroll in and the change of enrollment performance of the insured. Therefore, under the policy of voluntary enrollment, every coordinated province and city should enlarge the proportion of young people to insuring group, optimizing the age structure, and the financing proportion of governments and individuals should be measured properly. With the increasing of governments' subsidies, the proportion of individual's premiums should also be increased.

Indexed as

Health StatusAgingChinaFemaleFinancing, GovernmentHumansInsurance CoverageLogistic ModelsMedically UninsuredRural PopulationUrban Population

Identifiers

PMID28028435
PMCPMC5140076
OpenAlexW2551011902

What OpenQuestion holds

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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.