Evidence map›Paper›PMID 30979025›Full record

ArticleHealthcare (Basel, Switzerland)2019

Household Registration System, Migration, and Inequity in Healthcare Access.

Bocong Yuan, Jiannan Li, Zhaoguo Wang, Lily Wu

Erratum issuedAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Erratum: Yuan, B.,Healthcare (Basel, Switzerland) · 2020
    Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Bocong YuanFaculty of Economics and Management, Sun Yat-sen University, West Xingang Rd. 135, Guangzhou 510275, China. yuanbc@mail.sysu.edu.cn.
Jiannan LiFaculty of Economics and Management, Sun Yat-sen University, West Xingang Rd. 135, Guangzhou 510275, China. lijnanna@mail.sysu.edu.cn.
Zhaoguo WangFaculty of Economics and Management, Sun Yat-sen University, West Xingang Rd. 135, Guangzhou 510275, China. wzglinyi2007@163.com.
Lily WuFaculty of Economics and Management, Sun Yat-sen University, West Xingang Rd. 135, Guangzhou 510275, China. wull9@mail2.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the influence of the household registration system on rural-urban disparity in healthcare access (including healthcare quality, blood pressure check, blood test, vision test, dental examination, and breast exam), using data from a large-scale nationwide life history survey that covered 150 counties across 28 provinces and municipalities in China. In contrast to the findings of many previous studies that emphasize the disparity in the residence place as the cause of rural-urban disparity in healthcare access, this study finds that the residence place just has a very limited influence on healthcare access in China, and what really matters is the household registration type. Our empirical results show that people with a non-rural household registration type generally have better healthcare access than those with a rural one. For rural residents, changing the registration type of their household (from rural to non-rural) can improve their healthcare access, whereas changing the residence place or migrating from rural to urban areas have no effect. Therefore, mere rural-to-urban migration may not be a valid measure to eliminate the rural-urban disparity in healthcare access, unless the institution of healthcare resource allocation is reformed.

Indexed as

healthcare accesshealthcare resource allocationhousehold registration systeminequitymigrationrural–urban disparity

Identifiers

PMID30979025
PMCPMC6627074

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.