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Record W3171777526 · doi:10.1186/s12913-021-06750-4

Impacts of English language proficiency on healthcare access, use, and outcomes among immigrants: a qualitative study

2021· article· en· W3171777526 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBMC Health Services Research · 2021
Typearticle
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsPrince Albert Grand CouncilUniversity of SaskatchewanSaskatchewan HealthDalhousie UniversitySaskatchewan Health Authority
Fundersnot available
KeywordsHealth careFocus groupMedicineLanguage barrierImmigrationHealth administrationLimited English proficiencyThematic analysisNursing researchEthnic groupNursingQualitative researchHealth informaticsHealth equityHealth services researchFamily medicinePublic healthSociologyEconomic growthPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Immigrants from culturally, ethnically, and linguistically diverse countries face many challenges during the resettlement phase, which influence their access to healthcare services and health outcomes. The "Healthy Immigrant Effect" or the health advantage that immigrants arrive with is observed to deteriorate with increased length of stay in the host country. METHODS: An exploratory qualitative design, following a community-based research approach, was employed. The research team consisted of health researchers, clinicians, and community members. The objective was to explore the barriers to healthcare access among immigrants with limited English language proficiency. Three focus groups were carried out with 29 women and nine men attending English language classes at a settlement agency in a mid-sized city. Additionally, 17 individual interviews were carried out with healthcare providers and administrative staff caring for immigrants and refugees. RESULTS: A thematic analysis was carried out with transcribed focus groups and healthcare provider interview data. Both the healthcare providers and immigrants indicated that limited language proficiency often delayed access to available healthcare services and interfered with the development of a therapeutic relationship between the client and the healthcare provider. Language barriers also impeded effective communication between healthcare providers and clients, leading to suboptimal care and dissatisfaction with the care received. Language barriers interfered with treatment adherence and the use of preventative and screening services, further delaying access to timely care, causing poor chronic disease management, and ultimately resulting in poor health outcomes. Involving untrained interpreters, family members, or others from the ethnic community was problematic due to misinterpretation and confidentiality issues. CONCLUSIONS: The study emphasises the need to provide language assistance during medical consultations to address language barriers among immigrants. The development of guidelines for recruitment, training, and effective engagement of language interpreters during medical consultation is recommended to ensure high quality, equitable and client-centered care.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.202
GPT teacher head0.608
Teacher spread0.405 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it