Evidence map›Paper›PMID 30697536›Full record

ArticleFrontiers in public health2018

"On Edge All the Time": Mixed-Status Households Navigating Health Care Post Arizona's Most Stringent Anti-immigrant Law.

Sofía Gómez, Anna O O'Leary

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Sofía GómezDepartment of Community, Environment & Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, United States.
Anna O O'LearyMexican American Studies, College of Social and Behavioral Sciences, University of Arizona, Tucson, AZ, United States.
University of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arizona's state-level policies restricting undocumented immigrants' access to public benefits continue to have implications on mixed-status households' accessibility to care. More notably, the effects of prolonged stress, anxiety and trauma remain unaddressed whilst mental health services continue to be absent. This article examines the healthcare experiences of mixed-status households after Arizona's SB1070 ("Support Our Law Enforcement and Safe Neighborhoods Act") was passed. Arizona Senate Bill 1070 (SB1070) was state legislation empowering police to detain individuals unable to prove their citizenship upon request. Of particular interest is how households navigate accessibility to care when members have varied immigration statuses, hence, varied healthcare availability. Interviews with 43 households in Tucson, Arizona, 81% of which had at least one undocumented member, reveal barriers and promoters to care. Barriers include complexity of applications, fear and trepidation in seeking care. Promoters include discount care programs that are a vital source of care as well as discretionary practices exercised by front-line staff. Findings have implications beyond Arizona as immigrants settle in new destination states while the current Trump administration borrows from Arizona's anti-immigrant policies.

Indexed as

access to carehealth promotionimmigrant healthimmigration policymixed-status householdsqualitative researchSB1070undocumented immigrants

Identifiers

PMID30697536
PMCPMC6340969
OpenAlexW2908882192

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.