171 Primary health care use and health care accessibility among adolescents in the United Arab Emirates
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".