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Record W4407417753 · doi:10.1371/journal.pgph.0004275

Factors influencing emergency dental care utilization among resettled Syrian refugee parents in Ontario: A cross-sectional study

2025· article· en· W4407417753 on OpenAlexafffundabout
Noara Alhusseini, Safoura Zangiabadi, Hala Tamim

Bibliographic record

VenuePLOS Global Public Health · 2025
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsYork UniversityMcGill University
FundersSocial Sciences and Humanities Research CouncilSocial Sciences and Humanities Research Council of Canada
KeywordsRefugeeMedicineDental insuranceCross-sectional studyOral healthFamily medicineLogistic regressionPopulationSyrian refugeesHealth careDental careEnvironmental health

Abstract

fetched live from OpenAlex

Regular dental visits are crucial for maintaining optimal oral health, yet adequate access to oral healthcare services remains a significant challenge for refugee populations, including resettled Syrian refugees in Ontario. This study aimed to assess the factors associated with visiting the dentist only for emergency care among resettled Syrian refugee parents in Ontario. A cross-sectional study of 540 Syrian refugee parents, who had resided in Ontario for an average of four years and had at least one child less than 18 years of age, was conducted from March 2021 to March 2022. Information about visiting the dentist only for emergency reasons was gathered through the question, "How often do you usually visit the dentist?" Respondents who indicated that they visit the dentist only for emergency care were categorized as "yes." Multivariable logistic regression was performed to examine the relationship between each of the sociodemographic-, migration-, and health-related factors with the primary outcome of visiting the dentist only for emergency. 73% of respondents reported visiting the dentist only for emergencies. Factors associated with emergency dental visits included dental insurance, number of children, and self-rated oral health. Individuals without dental insurance, higher number of children, and poorer self-rated oral health were more likely to seek emergency dental care. These findings highlight the barriers to regular dental visits among Syrian refugees in Ontario and underscore the need for more inclusive and accessible dental care services for such vulnerable population to enhance their oral 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)0.001
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 score0.743
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
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.086
GPT teacher head0.391
Teacher spread0.305 · 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

Citations1
Published2025
Admission routes3
Has abstractyes

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