Evidence map›Paper›PMID 38807190›Full record

ArticleCost effectiveness and resource allocation : C/E2024

Medical insurance, livelihood capital and public health in China.

Wang Sheng, Liao Fuchong

Abstract read
In one paragraph

Article in Cost effectiveness and resource allocation : C/E, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Wang ShengSchool of Business Administration, Northeastern University, Shenyang City, Liaoning Province, China.
Liao FuchongSchool of Public Administration, Central South University, 220th Shaoshan Road, Tianxin District, Changsha City, Hunan Province, China. 13127532105@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical insurance stands as a pivotal component within the overarching framework of public service systems. The intricate interplay between the extent of healthcare coverage and the overall well-being of the populace remains a pivotal research question within the academic sphere.

methodsDrawing from the comprehensive dataset of the Chinese Household Livelihood Survey, this article employs a rigorous data model to delve into the profound implications of medical coverage on population health.

resultsThe descriptive analysis revealed that areas with broader medical coverage tend to exhibit higher levels of overall population health. This initial observation provided a foundation for further quantitative exploration using multiple regression analysis. The regression analysis demonstrated a statistically significant positive relationship between medical coverage and population health. This finding is particularly noteworthy as it suggests that expanding access to healthcare services has tangible benefits for improving the overall health of a population.

conclusionFrom the lens of familial sustenance, this article delves into the intricate health implications of medical coverage, thereby introducing a novel theoretical lens to the evolving discourse surrounding medical insurance healthcare systems and their impact on public health. This approach aims to enrich the current understanding of this complex relationship and contribute to the scholarly dialogue.

Indexed as

Family livelihoodMedical coveragePopulation healthThe Healthy China Strategy

Identifiers

PMID38807190
PMCPMC11131294

What OpenQuestion holds

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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.