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Record W4367367181 · doi:10.1093/pch/pxad017

Improving health outcomes for patients and families with preferred language other than English or French (PLOEF)

2023· article· en· W4367367181 on OpenAlexaff
Victor Do, Ashna Asim, Maitreya Coffey, Sanjay Mahant

Bibliographic record

VenuePaediatrics & Child Health · 2023
Typearticle
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsHealth equityHealth careEquity (law)MedicineFamily medicineLanguage barrierRace (biology)NursingPublic healthSociologyPolitical science

Abstract

fetched live from OpenAlex

Equitable care considers the unique needs of an individual-including social determinants of health such as language, race, and gender. Health equity and providing equitable care are considered fundamental to medicine, however, in practice there continues to be significant gaps to providing equitable care. There is a growing body of research on health care disparities, such as research on patients and families who have a preferred language other than English or French (PLOEF), who have worse health outcomes. Language barriers have been associated with increased risk of hospital admission, increased risks of misdiagnosis, poorer patient understanding of and adherence to prescribed treatment, lower patient satisfaction, and increased risk of experiencing adverse events. This commentary aims to examine issues faced by patients and families with PLOEF, particularly among hospitalized children and youth, and propose how the paediatric community can work to improve their care and health outcomes.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.377
Teacher spread0.342 · 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

Citations7
Published2023
Admission routes1
Has abstractyes

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