Evidence map›Paper›PMID 31385302›Full record

ArticleHealth services research2019

Effects of citizenship status, Latino ethnicity, and household language on health insurance coverage for U.S. adolescents, 2007-2016.

Sarah H Knipper, Wesley Rivers, Julia M Goodman

Abstract read
In one paragraph

Article in Health services research, 2019. 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

3 authors.

Sarah H KnipperOHSU/PSU School of Public Health, Portland, Oregon.ORCID 0000-0002-9953-2749
Wesley RiversIndependent, Portland, Oregon.
Julia M GoodmanOHSU/PSU School of Public Health, Portland, Oregon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objective/study questionTo examine changes in uninsurance rates among U.S. adolescents ages 12-17 and assess whether trends over time differed by citizenship status, Latino ethnicity, and household language. DATA SOURCES/STUDY

setting2007-2016 National Health Insurance Survey (NHIS). STUDY

designMultivariable logistic regression and postestimation marginal effects were used to assess changes in the current uninsured rate. Logistic regression models were used to determine significant trends over time for each demographic group and compare them to trends in the broader adolescent population. Marginal effects were employed to calculate adjusted outcome probabilities for each year. PRINCIPAL

findingsAcross all 12- to 17-year-olds, the unadjusted uninsured rate dropped significantly between 2007 and 2016, from 10.2 percent to 6.0 percent. For noncitizen youth, the probability of being uninsured increased from 26.6 percent in 2007 to 28.4 percent in 2016, after controlling for covariates. Latino youth and those in Spanish-speaking households saw declines in their adjusted uninsurance rate that was proportional to non-Latino and English-speaking youth.

conclusionsMost adolescents saw significant improvements in health insurance coverage between 2007 and 2016; however, disparities remain among Spanish-speaking and Latino adolescents and no improvements were seen among noncitizen youth. This suggests a need for equity-focused eligibility, outreach, and enrollment policies that expand insurance options for these populations.

Indexed as

AdolescentChildEligibility DeterminationEthnicityFemaleHealthcare DisparitiesHispanic or LatinoHumansInsurance CoverageInsurance, HealthMaleMedically UninsuredSocioeconomic FactorsUnited Statesadolescentscitizenshipracial/ethnic disparitiesuninsured rate

Identifiers

PMID31385302
PMCPMC6863242

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.