Evidence map›Paper›PMID 30176868›Full record

ArticleBMC health services research2018

Exploring the relationship between migrants' purchasing of commercial medical insurance and urbanisation in China.

Jinhua Liu, Hongsheng Chen, Yang Chen, Zhigang Li

Abstract read
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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

4 authors.

Jinhua LiuSchool of Architecture, Southeast University, No.2, Sipailou Road, Xuanwu District, Nanjing, 210096, China.
Hongsheng ChenSchool of Architecture, Southeast University, No.2, Sipailou Road, Xuanwu District, Nanjing, 210096, China. 516568071@qq.com.
Yang ChenSchool of Architecture, Southeast University, No.2, Sipailou Road, Xuanwu District, Nanjing, 210096, China.
Zhigang LiSchool of Urban Design, Wuhan University, Ba Yi Road No.299, Wuhan, 430072, China.

Funding

National Natural Science Foundation of China 41422103National Natural Science Foundation of China 41501151National Natural Science Foundation of China 41771167
6 · The paper itself

Abstract

backgroundOver the past 40 years, the Chinese government has diligently promoted the market-oriented reform of the health insurance system. However, as it is affected by the urban-rural dual structure, most rural-to-urban migrants are excluded from local public health services and medical insurance schemes in the cities in which they live. Buying local commercial medical insurance (CMI) is an important way for migrants to obtain local medical services. Therefore, this study's purposes were to explore the city factors that affect migrants' purchase of CMI and to investigate the relationship between urbanisation and migrants' purchase of CMI.

methodsThis study used the 2013 National Floating Population (Migrants) Dynamic Monitoring Survey data, which covered 31 provinces, municipalities, and autonomous regions in China. The respondents were migrants (15-59 years; n = 164,752) who lived in the inflow areas for more than a month without obtaining a local household registration record. We used city factors, neighbourhood factors, and individual factors that affect residents' purchase of CMI to construct a theoretical framework and examined the effect of urbanisation on migrants' choice of CMI using multilevel logistic regression.

resultsThe proportion of migrants who had local or hometown CMI was 5.70%; most migrants had no CMI (94.30%). Of these, 4.42% had CMI in the city in which they live (i.e. local CMI) and 1.64% had CMI in their hometown (i.e. hometown CMI). Migrants living in first-tier and third-tier cities were less likely to have CMI than those in second-tier cities (odds ratio [OR] = 0.454, 95% confidence interval [CI]: 0.395-0.521; OR = 0.588, 95% CI: 0.464-0.746). Furthermore, the regression results revealed a U-shaped relationship between the odds of migrants having CMI and the urbanisation rate of the prefecture-level cities. The findings also indicated that with higher socioeconomic status, there was a greater probability of purchasing CMI.

conclusionsThe improvement of urbanisation has a positive effect on migrants' purchase of CMI. However, China's medical insurance market is still underdeveloped. It is necessary for the Chinese government to increase migrants' participation rate in CMI to cover soaring medical expenses.

Indexed as

UrbanizationAdolescentAdultChinaFemaleFinancing, PersonalHumansInsurance, HealthLogistic ModelsMaleMiddle AgedOdds RatioPrivate SectorResidence CharacteristicsRural HealthSocial ClassChinaCommercial health insuranceMigrantsNeighbourhoodUrbanisation

Identifiers

PMID30176868
PMCPMC6122700

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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.