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Record W2803843261 · doi:10.1093/pch/pxy054.018

EMERGENCY DEPARTMENT VISITS BY CHILD REFUGEE CLAIMANTS AT A PEDIATRIC TERTIARY CARE CENTER

2018· article· en· W2803843261 on OpenAlexaffabout
Andrea Evans, Savithiri Ratnapalan

Bibliographic record

VenuePaediatrics & Child Health · 2018
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsRefugeeEmergency departmentMedicineInterimFamily medicineHealth careMedical emergencyNursingPolitical science

Abstract

fetched live from OpenAlex

Abstract BACKGROUND The Canadian government has announced the resettlement of 50 000 refugees from the Middle East by 2018. The proportion of refugees that are below 18 years of age have increased from 20% to almost 40% from 2005 to 2014 and is expected to increase further with new refugee influxes. Barriers to timely health care can worsen clinical presentations and outcomes, especially in vulnerable children such as refugees. This study aims to provide an overview of the epidemiology, clinical presentations, hospital stay metrics, and non-clinical support needs for child refugee claimants presenting to the emergency department at a large tertiary care hospital in Canada. OBJECTIVES To describe the emergency department visits by refugee claimants with IFH, including demographics, primary care access, immunization status, acuity of presentation, repeat visits, and admission rates. DESIGN/METHODS A retrospective chart review of all refugee children presenting to the emergency department at this tertiary care hospital from April 1 2014 to March 31st 2017. A case was defined as a child who presented to the hospital with Interim Federal Health (IFH) which is the federal health insurance program covers newly arrived refugee claimants in Canada. Descriptive statistics and chi square test for categorical data was used. Data was analyzed using SPSS v21 IBM 2012. Ethics was approved by the Ethics Review Board of the hospital. RESULTS In total, there were 646 visits to the emergency department by 388 patients with IFH. The average age was 6.4 years (IQR 2.9–9.3), of which 58% were females. Travel history was documented in 65% of cases. The majority of patients arrived from Southeast Asia and the Middle East. The average time spent in Canada was 217 days (IQR 78–205). Sixty percent of patients did not have an identified primary care provider. Those with an identified primary care provider had more non-acute (CTAS 4–5) visits than those without an identified primary care provider (p<0.05). Immunizations were not up-to-date per Canadian standard in 25% of those who had an immunization history documented. Translation services was used in 11% of visits. Admission rate was 12%, with average length of stay 3.4 days (std 4). Top three reasons for admission were febrile neutropenia, respiratory distress, and blood per rectum. One fifth (20%) of admissions occurred on the same day as the arrival of the patient to Canada. CONCLUSION A significant number of refugee children are needing emergency care and admission to hospital on the day they arrive to Canada. Most child refugees presenting to the emergency department did not have an identified primary care provider, and a quarter did not have up-to-date immunizations. Association with primary care provider suggests that linkage to primary care in this population should be a priority.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score0.339

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.010
GPT teacher head0.310
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), 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
Published2018
Admission routes2
Has abstractyes

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