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Record W4386989417 · doi:10.1093/pch/pxad055.100

100 Exploring the Experiences of Refugee Claimant Youth and their Caregivers with Navigating Healthcare in Canada

2023· article· en· W4386989417 on OpenAlexaboutno aff
Chioma Newbube, Puneet Parmar, Shazeen Suleman, Martha L. Taylor

Bibliographic record

VenuePaediatrics & Child Health · 2023
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeHealth careThematic analysisParticipatory action researchPsychological interventionPlaintiffNursingService providerQualitative researchStakeholderMedicineService (business)Public relationsBusinessPolitical scienceSociology

Abstract

fetched live from OpenAlex

Abstract Background In 2022 alone, 27,000 refugee claimants entered Canada, seeking protection. Although refugee claimants are ineligible for provincial health insurance programs, the Interim Federal Health Program (IFHP) provides coverage for basic medical care and supplemental services. However, previous studies have shown that only 24% of paediatricians are registered for IFHP, suggesting limited access for refugee claimant youth (RCYs), who are already at increased risk of poor health outcomes. It is important to understand the perspectives and needs of RCYs and their caregivers to develop interventions to improve their access to care, but to date, no study has examined their experiences directly. Objectives This study aims to explore how RCY, their caregivers, service providers and health care providers understand and utilize the healthcare system after arrival in Canada. Design/Methods This was a qualitative study that was rooted in community-based participatory action methodology. In-depth interviews (IDIs) were conducted with RCYs (age 10-18), their caregivers, community service providers (ie. settlement workers) and health care providers (HCPs) that worked with RCYs in a large urban Canadian city in English, and with an interpreter, recorded and transcribed. Transcripts were coded using inductive coding methods, and analyzed within and across stakeholder groups using thematic analysis. Results A total of 27 IDIs were conducted (8 HCPs, 9 community service providers, 5 caregivers, and 5 RCYs). Youth and their caregivers had little to no understanding of how the healthcare system operated in Canada, including how IFHP provided coverage. Most explained that their limited knowledge about the healthcare system was provided informally through social contacts, or their community service providers, who in turn expressed limited understanding of IFHP coverage and difficulty finding IFHP registered providers. Although healthcare providers similarly found IFHP difficult to navigate, they did not appreciate how little RCYs and their families understood the healthcare system, nor the difficulties placed on community service providers. RCYs stated that a youth-oriented, multi-lingual resource that explained how to access care in Canada would be a useful tool to help them feel empowered to advocate for themselves and their families. Conclusion Although policies exist to provide coverage for medical care for RCYs, there are many barriers that prevent them from accessing care, including limited knowledge of the system and few navigational supports. Our findings suggest that working with RCY themselves to co-develop a youth-centred approach to understanding the healthcare system may increase youth empowerment and access to 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.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.293

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0250.008
Scholarly communication0.0050.001
Open science0.0020.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.038
GPT teacher head0.298
Teacher spread0.259 · 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 designQualitative
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

Citations0
Published2023
Admission routes1
Has abstractyes

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