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Record W2061629872 · doi:10.1371/journal.pone.0057377

Is Accessing Dental Care Becoming More Difficult? Evidence from Canada's Middle-Income Population

2013· article· en· W2061629872 on OpenAlexafffundabout
Chantel Ramraj, Laleh Sadeghi, Herenia P. Lawrence, Laura Dempster, Carlos Quiñonez

Bibliographic record

VenuePLoS ONE · 2013
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversity of TorontoPublic Health Ontario
FundersGovernment of Ontario
KeywordsLow and middle income countriesMedicineDental carePopulationMEDLINEEnvironmental healthDentistryBiologyDeveloping countryEcology

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore trends in access to dental care among middle-income Canadians. METHODS: A secondary data analysis of six Canadian surveys that collected information on dental insurance coverage, cost-barriers to dental care, and out-of-pocket expenditures for dental care was conducted for select years from 1978 to 2009. Descriptive analyses were used to outline and compare trends among middle-income Canadians with other levels of income as well as national averages. RESULTS: By 2009, middle-income Canadians had the lowest levels of dental insurance coverage (48.7%) compared to all other income groups. They reported the greatest increase in cost-barriers to dental care, from 12.6% in 1996 to 34.1% by 2009. Middle-income Canadians had the largest rise in out-of-pocket expenditures for dental care since 1978. CONCLUSIONS: This study suggests that affordability issues in accessing dental care are no longer just a problem for the lowest income groups in Canada, but are now impacting middle-income earners as a consequence of their lack of, or decreased access to, comprehensive dental insurance.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.009
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.070
GPT teacher head0.300
Teacher spread0.230 · 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.

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

Citations49
Published2013
Admission routes3
Has abstractyes

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