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Record W4385350256 · doi:10.32920/ihtp.v3i2.1744

Factors affecting emergency department use among pediatric immigrants and refugees: A qualitative narrative review

2023· article· en· W4385350256 on OpenAlexaffvenue
Indeep Thandi, Bukola Salami, Tehseen Ladha

Bibliographic record

VenueInternational Health Trends and Perspectives · 2023
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCINAHLRefugeeHealth literacyImmigrationEmergency departmentLanguage barrierInclusion (mineral)MedicineHealth careScopusFamily medicineMEDLINELiteracyPopulationGerontologyNursingPsychologyPsychological interventionPolitical scienceEnvironmental health

Abstract

fetched live from OpenAlex

Purpose: To identify factors affecting emergency department (ED) use by immigrant and refugee children under the age of 18 years in North America and Europe, where similar primary, secondary, and tertiary healthcare structures exist. Methods: A narrative review methodology was used to complete a search of three databases including CINAHL, MEDLINE, and SCOPUS. Inclusion criteria and exclusion criteria were applied following screening and full-text review, resulting in the 8 articles that were selected for this review. Results: Six central themes were identified for presentation to ED’s including: (1) financial accessibility; (2) health insurance; (3) presence of a primary care provider; (4) language barriers; (5) transportation; and (6) health literacy, with health literacy further being divided into a lack of knowledge and parental perception and understanding of illness. Implications and Conclusion: Factors that influence ED use by pediatric immigrant and refugee patients are multi-factorial and interconnected. Recommendations are made to encourage informed changes based on population healthcare needs, with the overall goal to reduce non-essential ED use and improve patient health outcomes. While this review identifies and evaluates the limited research available in this area, further studies need to be completed before generalizations can be made for all pediatric immigrant and refugee populations.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.690
Threshold uncertainty score0.729

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.098
GPT teacher head0.469
Teacher spread0.371 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2023
Admission routes2
Has abstractyes

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