Evidence map›Paper›PMID 31388875›Full record

ArticleJournal of community health2020

Variations in Access to Care After the Affordable Care Act Among Different Immigrant Groups.

Mienah Zulfacar Sharif, Goleen Samari, Héctor E Alcalá

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of community health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Mienah Zulfacar SharifCenter for Racism, Social Justice and Health, University of California, Los Angeles, Los Angeles, CA, USA. mienah@gmail.com.
Goleen SamariMailman School of Public Health, Columbia University, 60 Haven Avenue Suite B2 #212, 10032, New York, NY, USA.
Héctor E AlcaláDepartment of Family, Population and Preventive Medicine, Stony Brook University, Level 3, Room 071, Stony Brook, NY, 11794-8338, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assess how the Affordable Care Act (ACA) impacted changes in access and utilization of health care between groups by examining differences across groups of immigrants and by citizenship status. Data came from respondents of the 2011-2016 National Health Interview Survey aged 18 to 64 who were born outside of the U.S. or were native-born non-Latino whites (N = 119,198). Outcome measures included (all in the past 12 months): being currently uninsured, being insured via Medicaid, visiting the emergency department, visiting a doctor at least once, delaying care due to costs, not getting needed care because respondent was unable to afford it and being told by doctor office that they would not accept you as a new patient. The ACA was associated with greater healthcare access and utilization for some groups, but heterogeneously across all groups. For example, some immigrant groups had better access and utilization than others, and similar variation was revealed across citizenship groups. This study underscores the importance of disentangling how policies can affect immigrants from different regions of the world, which has implications for healthcare utilization and disparities.

Indexed as

Patient Protection and Affordable Care ActAdolescentAdultEmergency Service, HospitalEmigrants and ImmigrantsHealth Services AccessibilityHumansInsurance CoverageMedicaidMiddle AgedPatient Acceptance of Health CareUnited StatesYoung Adultdisparitieshealth policyhealth servicesimmigrants

Identifiers

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.