Evidence map›Paper›PMID 30683119›Full record

ArticleGlobalization and health2019

Assessment of the health status and health service perceptions of international migrants coming to Guangzhou, China, from high-, middle- and low-income countries.

Remina Maimaitijiang, Qiangsheng He, Yanan Wu, Jennifer Z H Bouey, Ahoua Koné, Yucheng Liang, Chun Hao, Jiong Tu, Jing Gu, Yuantao Hao

Abstract read
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Article in Globalization and health, 2019. 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
–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

6 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

10 authors.

Remina MaimaitijiangDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, School of Public Health, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, People's Republic of China.
Qiangsheng HeDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, School of Public Health, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, People's Republic of China.
Yanan WuDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, School of Public Health, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, People's Republic of China.
Jennifer Z H BoueyDepartment of International Health, Georgetown University, St. Mary' s Hall, 3700 Reservoir Road, N.W., Washington D.C., 20057, USA.
Ahoua KonéDepartment of Global Health, University of Washington, Seattle, WA and Health Alliance International, 1107 NE 45th Street, Suite 350, Seattle, WA, 98105, USA.
Yucheng LiangDepartment of Sociology and Center for Social Survey, Sun Yat-sen University, No. 135 Xingang Xi Road, Guangzhou, 510275, People's Republic of China.
Chun HaoDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, School of Public Health, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, People's Republic of China.
Jiong TuDepartment of Sociology and Center for Social Survey, Sun Yat-sen University, No. 135 Xingang Xi Road, Guangzhou, 510275, People's Republic of China.
Jing GuDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, School of Public Health, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, People's Republic of China. gujing5@mail.sysu.edu.cn.
Yuantao HaoDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, School of Public Health, No. 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina, which used to be an export country for migrants, has become a new destination for international migrants due to its rapid economic growth. However, little empirical data is available on the health status of and health service access barriers faced by these international migrants.

methodsForeigners who visited the Guangzhou Municipal Exit-Entry Administration Office to extend their visas were invited to participate in the study. Quantitative data were collected using electronic questionnaire in 13 languages. The participants were characterised by the income level of their country of origin (high-, middle- and low-income countries (HICs, MICs and LICs, respectively)), and the key factors associated with their health status, medical insurance coverage and perceptions of health services in China were examined.

resultsOverall, 1146 participants from 119 countries participated in the study, 57.1, 25.1 and 17.8% of whom were from MICs, HICs and LICs, respectively. Over one fifth of the participants experienced health problems while staying in China, and about half had no health insurance. Although the participants from HICs were more likely than those from MICs and LICs to have medical insurance, they were also more likely to have health problems. Furthermore, 43.0, 45.0 and 12.0% of the participants thought that the health services in China were good, fair and poor, respectively. Among the participants, those from HICs were less likely to have positive feedback.

conclusionsOur study is the first to report a quantitative survey of the health status, health insurance coverage, and health service perceptions of a diverse and surging population of international migrants in China. The findings call for more in-depth studies on the challenges presented by the increasing global migration to the health system.

Indexed as

Attitude to HealthHealth StatusAdultChinaDeveloped CountriesDeveloping CountriesFemaleHumansInsurance, HealthMaleMiddle AgedSurveys and QuestionnairesTransients and MigrantsChinaHealth statusInternational migrantsPerceptions of health services

Identifiers

PMID30683119
PMCPMC6346560

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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.