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Record W132546653 · doi:10.1093/pch/18.9.465

Uninsured immigrant and refugee children presenting to Canadian paediatric emergency departments: Disparities in help-seeking and service delivery

2013· article· en· W132546653 on OpenAlexaffabout
Cécile Rousseau, Audrey Laurin‐Lamothe, J Anneke Rummens, Francesca Meloni, Nicolas Steinmetz, Fernando Álvarez

Bibliographic record

VenuePaediatrics & Child Health · 2013
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversity of TorontoMcGill UniversityCentre de Santé et de Services Sociaux de la Montagne
Fundersnot available
KeywordsRefugeeImmigrationService delivery frameworkMedicineService (business)Emergency departmentMedical emergencyNursingPolitical scienceBusiness

Abstract

fetched live from OpenAlex

INTRODUCTION: Access to health care for medically uninsured immigrant and refugee children is a public health concern due to the consequences of delayed or substandard care for child development and health. OBJECTIVE: To explore possible differences in help-seeking and service delivery across migratory statuses, institutions and provinces. METHODS: A review was undertaken of 2035 emergency files of immigrant, refugee and undocumented children without provincial health care coverage who sought care at three major paediatric hospitals in Montreal (Quebec) and Toronto (Ontario) during 2008 and 2009. RESULTS: Refugee claimant children with Interim Federal Health Program benefits consulted for less urgent problems than the overall hospital population, except in one hospital that had a multicultural paediatric ambulatory clinic. Undocumented children and new permanent resident immigrant children within the three-month waiting period for provincial health care coverage were over-represented in the very urgent triage category and presented more often for injuries, trauma and mental health problems than did refugee claimant children. DISCUSSION/CONCLUSIONS: Wide interhospital differences suggest that the predicament of limited access to health care of these groups of vulnerable medically uninsured children needs to be addressed through further research to inform policies and develop training.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.268
Teacher spread0.257 · 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.

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

Citations47
Published2013
Admission routes2
Has abstractyes

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