Evidence map›Paper›PMID 36211663›Full record

ArticleFrontiers in public health2022

Can community health centers improve the self-rated health of migrants? Evidence from China.

Ai-Lin Mao, Yu-Kun Tian, Ya-Nan Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

3 authors at 1 institution in 1 country.

Ai-Lin MaoSchool of Labor Economics, Capital University of Economics and Business, Beijing, China.
Yu-Kun TianSchool of Labor Economics, Capital University of Economics and Business, Beijing, China.
Ya-Nan LiSchool of Labor Economics, Capital University of Economics and Business, Beijing, China.
Capital University of Economics and Business · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Due to the "epidemiological paradox," migrants face the risk of health attrition during their migration. Meanwhile, institutional constraints cause a health gap between migrants and non-migrants. To narrow this gap and maintain equity, scholars have studied the role and impact mechanism of medical insurance participation in improving the health of migrants. However, due to the provision of China's basic medical insurance system, the proportion of migrants participating in employee medical insurance is still relatively low, while the community health center (CHC) is a more accessible medical resource for this group. Therefore, this study attempts to explore the impact of CHCs on the self-rated health (SRH) of migrants and identify the factors and mechanisms associated with such an impact. This study addresses the hypotheses whether (a) CHCs can significantly improve the SRH of migrants in China and (b) CHCs improve the SRH of migrants by promoting both their health knowledge and health behavior. Methods: Data was obtained from the 2017 China Migrants Dynamic Survey (CMDS). From the survey, 127,687 migrants were identified, and a series of logit regressions were conducted to explore the correlation between CHCs and the SRH of migrants. Propensity score matching (PSM) logit was also used for the robustness tests. Results: Logit estimations revealed that CHC is positively related to the SRH of migrants (OR = 1.095, Conclusion: Programs that strengthen health knowledge and policies to enhance access to healthcare could be prioritized to improve the SRH of migrants in China.

Indexed as

Community Health CentersDelivery of Health CareAgedChinaHealth BehaviorHumansMaleSurveys and QuestionnairesChinaChina migrants dynamic surveycommunity health centermigrantself-rated health (SRH)

Identifiers

PMID36211663
PMCPMC9541740
OpenAlexW4297016887

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.