Evidence map›Paper›PMID 37287716›Full record

ArticleSSM - population health2023

Does the integration of urban and rural health insurance influence the functional limitations of the middle-aged and elderly in rural China?

Haijun Hao, Yeong Hun Yeo

Open access · goldAbstract read
In one paragraph

Article in SSM - population health, 2023. 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
3.2field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 11 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

2 authors at 1 institution in 1 country.

Haijun HaoDepartment of Social Welfare, Jeonbuk National University, South Korea.
Yeong Hun YeoDepartment of Social Welfare, Jeonbuk National University, South Korea.
Jeonbuk National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In January 2016, the Chinese government integrated the two systems of urban resident basic medical insurance and new rural cooperative medical system to establish a unified Urban and Rural Resident Medical Insurance. The integration of medical insurance is purported to enhance access for the rural population; however, a dearth of literature exists regarding its effect on functional impairment among middle-aged and elderly residing in rural areas. This study aims to evaluate the impact of urban-rural health insurance integration on functional limitation among middle-aged and elderly individuals in rural China. A longitudinal survey was conducted among 7855 middle-aged and elderly individuals in rural China. Using a nonequivalent control group pretest-posttest design, we exploit these policy changes to evaluate their impact on middle-aged and elderly individuals' functional limitation. The results showed that the integration of urban and rural health insurance systems was significantly associated with reduced functional limitation (Odds ratio .742; 95%CI 0.603, 0.914) among middle-aged and elderly individuals in rural China. Our findings also indicate that prevalent behaviors such as tobacco use, and alcohol consumption may exacerbate functional limitation among middle-aged and elderly individuals. These findings suggest that the integration of urban and rural health insurance systems can have a positive impact on the functional limitation of middle-aged and elderly individuals in rural China and could be an important factor in improving the health and well-being of middle-aged and elderly individuals in rural areas.

Indexed as

Functional limitationQuasi-experimental design difference-in-differences approachUrban-rural health insurance integration in China

Identifiers

PMID37287716
PMCPMC10241964
OpenAlexW4378174652

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.