Evidence map›Paper›PMID 41805411›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Health Insurance Coverage and Access to Care Among Older Immigrants: Evidence from the National Health Interview Survey, 2020 to 2023.

Momna Rani, Dale E Yeatts

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Momna RaniUniversity of North Texas, USA.ORCID 0000-0003-0321-5982
Dale E YeattsUniversity of North Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health insurance coverage is essential to improving preventative health services and decreasing financial burdens for older immigrants; however, disparities remain among different insurance kinds. This study analyzes the influence of private, public, and uninsured coverage on healthcare access and financial vulnerability among elderly immigrants in the United States, a population disproportionately impacted by socioeconomic and administrative obstacles. This cross-sectional study used data from the National Health Interview Survey (NHIS) covering 2020 to 2023 sourced from IPUMS, focusing on foreign-born persons aged 60 years and older. Weighted logistic regression models and propensity score adjustments were used to assess the associations between insurance type (private, Medicare, Medicaid, or uninsured) and 3 outcomes: access to regular care, financial strain, and unmet need due to cost. Analyses addressed age, sex, education, and economic status as confounding through using survey weights and complex design alterations. Results indicate that people with private insurance had significantly higher chances of having an ongoing source of care (OR = 1.54, 95% CI = 0.98-2.42) and decreased odds of having unmet healthcare demands (OR = 0.59, 95% CI = 0.39-0.90) compared to the uninsured population. Medicare coverage had a positive association with regular medical treatment (OR = 2.21, 95% CI = 1.34-3.64). No significant correlations have been identified between insurance type and financial strain. Gender and age variations persisted, with women showing somewhat reduced odds of receiving regular care. The findings demonstrate that health insurance coverage improves access to preventive care however does not eliminate financial stress among senior immigrants. Policy efforts must enhance fair coverage, address obstacles to Medicaid and Medicare access, and integrate culturally appropriate care for aging immigrant populations.

Indexed as

Emigrants and ImmigrantsHealth Services AccessibilityInsurance CoverageInsurance, HealthAccess to Primary CareAgedCross-Sectional StudiesFemaleHealth SurveysHumansMaleMedicaidMedically UninsuredMedicareMiddle AgedSocioeconomic Disparities in Healthagedcross-sectional studiesemigrants and immigrantsfinancial stresshealth insurancehealth services accessibilitylogistic modelspreventive health servicesUnited States

Identifiers

PMID41805411
PMCPMC12976404

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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.