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Record W2794575321 · doi:10.1093/pch/19.8.400

Helping newcomers overcome barriers to health care

2014· article· en· W2794575321 on OpenAlexaffabout
Paul Caulford

Bibliographic record

VenuePaediatrics & Child Health · 2014
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHealth careNursingImmigrationQuality (philosophy)RefugeeBusinessMedicinePublic relationsPolitical science

Abstract

fetched live from OpenAlex

There are multiple barriers that prevent immigrant and refugee children, youth and families from accessing or receiving quality health care in Canada. A barrier to health care is anything that restricts the use of health services by making it more difficult for some individuals to access, use or benefit from care. Barriers vary among provinces and territories. Broadly, however, they include a complex array of political, social and health system-related rules and requirements, as well as factors relating to the culture of the patient, the family and the health care provider. Being aware of barriers to health care can help health professionals to be more sensitive to the challenges faced by their patients. Health care providers can also take steps to reduce or overcome some of these barriers to improve quality of care. Here are some simple things that health professionals can do: How to provide culturally competent care. Health issues that are more common in newcomers. Availability of local community resources and how to help patients connect with them. Health care coverage eligibility for immigrants and refugees, including the Interim Federal Health Program for refugees and provincial coverage, if available. Policies at local hospitals or clinics concerning eligibility and emergency care can vary – find out what they are. Circulate clear guidelines for staff regarding care entitlements of different groups. Educate newcomer patients about their eligibility for health care coverage based on immigration/refugee status. Inform them about free local public health services (eg, immunizations). Help educate patients about navigating the Canadian health system. Connect patients with a regular primary care provider (or a community health centre for those who are uninsured) and support services (eg, social work, transportation, interpreters, financial aid, settlement services, legal agencies). Ask about your patient’s immigration or refugee status and know which health care services or benefits they are (or are not) entitled to. Register with Mediavie Blue Cross, which administers the Interim Federal Health program. Check a newcomer patient’s coverage at each visit. Improve the rate and completion of payment, eg, by identifying one person in your practice to learn and manage the process. Be clear to newcomer patients that patient information is confidential. Provide flexible appointment times to accommodate mental health needs or irregular work schedules. Provide printed reminders and use tracking systems to improve patient attendance and monitor access to care. Encourage positive and stable relations with all clinic staff. Offer preventive services; emphasize the benefits of continuity of care, prevention and screening. Understand the importance of interpreters, how best to work with them, how to arrange for services in advance and appropriate alternatives. Avoid using children in families as interpreters. Advocate for interpretive services in your community. Be aware that eliciting information about sensitive issues from young newcomers may require several consultations. Learn about the family’s dynamics and sociocultural perceptions of illness. Provide health promotional materials in multiple languages, many of which are available online. Provide a letter for newcomer families that explains a child’s diagnoses or needs, if applicable. This can help the family when seeking support services or urgent care. Use an interprofessional team approach, including referrals to appropriate community organizations. Pool local interest in newcomer patients and information about providing care. Please visit the Canadian Paediatric Society’s Caring for Kids New to Canada website (www.kidsnewtocanada.ca) for more information and resources on serving this population.

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)0.011
metaresearch head score (Gemma)0.026
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0120.006
Scholarly communication0.0100.009
Open science0.0030.015
Research integrity0.0060.014
Insufficient payload (model declined to judge)0.0220.004

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 head0.015
GPT teacher head0.322
Teacher spread0.307 · 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

Citations3
Published2014
Admission routes2
Has abstractyes

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