Evidence map›Paper›PMID 26660484›Full record

ReviewJournal of immigrant and minority health2017

Conceptualizing the Pathways and Processes Between Language Barriers and Health Disparities: Review, Synthesis, and Extension.

Sachiko Terui

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of immigrant and minority health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  8. Assessment of disparities in timely diagnosis and comprehensive workup of cognitive impairment between English and Spanish speakers.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. International migration and its influence on health.Research in nursing & health · 2022
    Article
  13. Article
  14. Article
  15. Article
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  17. Observational
  18. Article
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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

1 author.

Sachiko TeruiDepartment of Communication, University of Oklahoma, 610 Elm Ave. #211, Norman, OK, 73019, USA. terui@ou.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While many may view language barriers in healthcare settings (LBHS) as a simple, practical problem, they present unique challenges to theoretical development and practice implications in healthcare delivery, especially when one considers the implications and impacts of specific contextual factors. By exploring the differences of contextual factors in the US and Japan, this review explores and highlights how such differences may entail different impacts on patients' quality of care and require different solutions. I conduct narrative review through library database, Google Scholar, and CiNii (a Japanese library database) with multiple search terms, including language barriers, healthcare, medical interpreter, and immigrant. I first present a diagram to show the pathways and process between language barriers and health disparities, using the literature reported in the US. Then, I examined the literature reported in Japan and discuss the needs for re-conceptualizing LBHS. The implications for future research will be discussed.

Indexed as

Communication BarriersLanguageAttitude of Health PersonnelEmigrants and ImmigrantsHealthcare DisparitiesHealth Services AccessibilityHumansJapanPatient CompliancePatient SatisfactionQuality of Health CareRacismTranslationsUndocumented ImmigrantsUnited StatesHealthImmigrantsJapanLanguage barriersMinoritiesThe United States

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.