Evidence map›Paper›PMID 39857128›Full record

ArticleHealthcare (Basel, Switzerland)2025

Building Wealth, Building Health: Asset Holding and Health Care Utilization Among U.S. Immigrants.

Haenim Lee

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. 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. Diversity Competence and Social Inequalities: Overview and Future Directions.International journal of environmental research and public health · 2025
    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

1 author.

Haenim LeeDepartment of Social Welfare and Counseling, Dongguk University, Seoul 04620, Republic of Korea.ORCID 0000-0002-6673-7836

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeImmigrants' low socioeconomic status is consistently linked to reduced healthcare utilization. This study extends the Andersen Behavioral Model by incorporating asset ownership as an enabling factor and examining its role across immigrant origin groups. It addresses two questions: (1) What is the relationship between asset ownership and healthcare utilization among immigrants? (2) Are there ethnic differences in this relationship?

methodsData from 4730 adults in the National Immigrant Survey (NIS) were analyzed. Missing income values were handled using multiple imputations. Healthcare utilization was measured as physician and dentist visits (dichotomous variables). Independent variables included demographic, immigration, health, and asset factors. Logistic regression was used to examine the impact of financial and real assets on healthcare utilization.

resultsAsset ownership significantly enhances healthcare utilization among immigrants. Individuals with financial assets were 124% more likely to visit a physician and 66% more likely to visit a dentist, while real assets increased these probabilities by 35% and 22%, respectively. Sub-ethnic analyses showed that both asset types positively influenced physician visits for Asians and Europeans, but not Africans. For dentist visits, only Europeans showed significant associations with asset ownership, while Middle Easterners and Africans did not. IMPLICATIONS: These findings support the inclusion of asset ownership in the Andersen model, highlighting its relevance for immigrant populations. Asset-building programs could enhance healthcare utilization and improve immigrant health outcomes. Tailored policies are recommended to address the unique needs of diverse ethnic groups.

Indexed as

asset holdinghealthcare utilizationimmigrant healththe Andersen Behavioral Model

Identifiers

PMID39857128
PMCPMC11764670

What OpenQuestion holds

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LicenceCC BY
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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.