Evidence map›Paper›PMID 32683520›Full record

ArticleJournal of immigrant and minority health2021

Health Insurance Coverage: Logical Versus Survey Identification of the Foreign-Born.

Claire E Altman, Cody Spence, Christal Hamilton, James D Bachmeier

Abstract read
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In one paragraph

Article in Journal of immigrant and minority health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

4 authors at 3 institutions in 1 country.

Claire E AltmanDepartment of Health Sciences, University of Missouri, 501 Clark Hall, Columbia, MO, 65211, USA. altmanc@health.missouri.edu.ORCID http://orcid.org/0000-0002-9285-7348
Cody SpenceDepartment of Sociology, Temple University, Philadelphia, PA, USA.
Christal HamiltonTruman School of Public Affairs, University of Missouri, Columbia, MO, USA.
James D BachmeierDepartment of Sociology, Temple University, Philadelphia, PA, USA.
Temple University · USUniversity of Missouri · USUniversity of Missouri Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimating rates of public benefit use for lawful permanent residents (LPRs) is difficult given the limited availability of nationally representative data that disaggregate the foreign-born population by legal status. Using the 2008 Survey of Income and Program Participation-the only national survey that distinguishes LPRs from other non-citizens-we employ logistic regression to compare estimates of health insurance coverage for legal immigrants using two methods to infer legal status: (1) a logical approach and (2) a survey-based approach. The logical approach, relative to the survey approach, yields a higher predicted probability of having any insurance for LPRs (adjPP = 0.70) compared to the survey approach (adjPP = 0.57) and a higher likelihood of having public health insurance (adjPP = 0.26 compared to adjPP = 0.09, respectively). These findings suggest that the logical approach may overestimate lawful immigrants' reliance on public benefits, which has implications for conclusions about recent changes to the public charge rule.

Indexed as

Emigrants and ImmigrantsInsurance, HealthHumansIncomeInsurance CoverageLogistic ModelsUnited StatesHealth insuranceLegal statusMeasurementPublic charge

Identifiers

PMID32683520
OpenAlexW3045336689

What OpenQuestion holds

Textmetadata
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.