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Record W2443640374 · doi:10.26719/2015.21.3.171

171 Primary health care use and health care accessibility among adolescents in the United Arab Emirates

2015· article· en· W2443640374 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEastern Mediterranean Health Journal · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Systems and Reforms
Canadian institutionsMcMaster UniversityOntario Tech University
FundersZayed University
KeywordsMedicineHealth careNationalityLogistic regressionPrimary health careFamily medicineCross-sectional studyPrimary careEnvironmental healthPopulationImmigrationGeographyPolitical science

Abstract

fetched live from OpenAlex

This study examined primary health care use and accessibility among adolescents living in the United Arab Emirates. In a cross-sectional study, we collected health care use, sociodemographic and residential data for a sample of 6363 adolescents. Logistic regression modelling was used to examine predictors of health care use. The most-consulted health professionals were dentists or orthodontists, family doctors and eye specialists. Local adolescents were more likely to attend public clinics/hospitals than private facilities, while the opposite was true for expatriates. In the previous 12 months 22.6% of the participants had not obtained the health care they needed and 19.5% had not had a routine health check-up. Common reasons for not obtaining care were busy schedules, dislike/fear of doctors and long waiting times. Predictors of not obtaining needed care included nationality and income, while those for having a routine check-up were mother's education and car ownership. Improvements to the health care sector may increase health care accessibility among adolescents.

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.

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)0.006
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 score0.067
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.154
GPT teacher head0.335
Teacher spread0.180 · 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