Evidence map›Paper›PMID 38322784›Full record

ArticleSSM - population health2024

Assessing the impact of public insurance on healthcare utilization and mortality: A nationwide study in China.

Lin Lin, Xianhua Zai

Abstract read
In one paragraph

Article in SSM - population health, 2024. 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.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. 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.

Lin LinSchool of Public Management, East China Normal University, Shanghai, China.
Xianhua ZaiDepartment of Labor Demography, Max Planck Institute for Demographic Research, Rostock, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigate the effects of a significant health insurance expansion in rural China known as the New Cooperative Medical Scheme (NCMS). Our analysis is based on a nationwide dataset spanning from 2004 to 2011. We find that the NCMS effectively increases healthcare utilization, particularly inpatient admissions, and reduces the incidence for infectious diseases. In addition to the increased healthcare utilization, the reduction in the incidence for infectious diseases can be attributed to improved health knowledge and health behavior, both of which are associated with the expansion of insurance coverage. Our findings affirm the importance of insurance coverage in safeguarding low-income individuals from the adverse health consequences linked to infectious diseases.

Indexed as

Determinants of healthHealthcare utilizationHealth insurance in ChinaHealth KnowledgeMortalityNCMS

Identifiers

PMID38322784
PMCPMC10844660

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.