Evidence map›Paper›PMID 37884916›Full record

ArticleBMC public health2023

Association between the location of social medical insurance and social integration among China's elderly rural migrants: a nationwide cross-sectional study.

Xiaojie Ma, Wenjia Feng, Chaojun Shi, Yifan Wang, Qianqian Gao, Weiqin Cai, Hongqing An, Qi Jing, Runguo Gao, Anning Ma

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

4 citing papers in PubMed, 7 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

10 authors at 1 institution in 1 country.

Xiaojie MaSchool of Public Health, Weifang Medical University, Weifang, 261000, China.
Wenjia FengSchool of Public Health, Weifang Medical University, Weifang, 261000, China.
Chaojun ShiSchool of Public Health, Weifang Medical University, Weifang, 261000, China.
Yifan WangSchool of Public Health, Weifang Medical University, Weifang, 261000, China.
Qianqian GaoSchool of Management, Weifang Medical University, Weifang, 261000, China. wfgaoqq@163.com.
Weiqin CaiSchool of Management, Weifang Medical University, Weifang, 261000, China. caiwq@wfmc.edu.cn.
Hongqing AnSchool of Public Health, Weifang Medical University, Weifang, 261000, China.
Qi JingSchool of Management, Weifang Medical University, Weifang, 261000, China.
Runguo GaoSchool of Public Health, Weifang Medical University, Weifang, 261000, China.
Anning MaSchool of Public Health, Weifang Medical University, Weifang, 261000, China.
Weifang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUniversal social medical insurance coverage is viewed as a major factor in promoting social integration, but insufficient evidence exists on the integration of elderly rural migrants (ERM), generally aged 60 years and above, in low- and middle-income countries. To address this problem, we explore the relationship between the location of social medical insurance (SMI), such as a host city, and social integration in the context of Chinese ERM.

methodsThis study is based on data from the 2017 National Internal Migrant Dynamic Monitoring Survey in China. The study participants were Chinese ERM. An integration index was constructed to measure the degree of social integration in a multi-dimensional manner using a factor analysis method. This study used descriptive statistics and one-way analysis of variance to explore the differences in social integration between ERM with SMI from host cities and hometowns. Stepwise multiple linear regression analysis was used to test the correlation between SMI location and social integration level in the overall sample. Finally, the results were verified by propensity score matching.

resultsIt was found that 606 (18.2%) of the insured ERM chose host city SMI, while 2727 (81.8%) chose hometown SMI. The level of social integration was lower among ERM with hometown SMI (-1.438 ± 32.795, F = 28.311, p ≤ 0.01) than those with host city SMI (6.649 ± 34.383). Among the dimensions of social integration, social participation contributed more than other factors, with a contribution rate of 45.42%. Host city SMI increased the probability of the social integration index by 647% among ERM (k-nearest neighbor caliper matched (n = 4, caliper = 0.02), with a full sample ATT value of 6.47 (T = 5.32, SE = 1.48, p < 0.05)).

conclusionsERM with host city SMI have a higher social integration level than those with hometowns SMI. That is, host city SMI positively affects social integration. Policymakers should focus on the access of host city SMI for ERM. Removing the threshold of host city SMI coverage for ERM can promote social integration.

Indexed as

Transients and MigrantsAgedChinaCitiesCross-Sectional StudiesHumansInsurance CoverageSocial IntegrationElderly rural migrantsSocial integrationSocial medical insurance

Identifiers

PMID37884916
PMCPMC10604806
OpenAlexW4387964855

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.