Dental care utilization in the west of Iran: a cross-sectional analysis of socioeconomic determinants
Bibliographic record
Abstract
Purpose Oral health is a major public health problem, both in developed and developing countries. The purpose of this paper is to examine the utilization of dental care and identify the main socioeconomic factors affecting the use of these services in the city of Sanandaj, west of Iran, in 2015. Design/methodology/approach A cross-sectional survey using multistage sampling was conducted to obtain information on the dental care visits of 520 head of households in Sanandaj. A self-administered questionnaire was used to collect data on the utilization of dental visits. Multivariable logistic regression was used to identify the main socioeconomic factors affecting the utilization of dental care in Sanandaj. Findings Results showed that 61.3 percent of the respondents visited a dentist at least once in the last year, of which 45 percent visited dentist for restoration, 27.9 percent had extraction and 10.3 percent had a dental checkup. The average number of dentist visits by respondents was 1.9. Regression results indicated a significant association between socioeconomic factors (e.g. income, educational level and employment status) and utilization of dental care. Originality/value This study suggested that dental care visit was influenced by socioeconomic status of households. Therefore, strategies aimed at improving dental care utilization for socioeconomically disadvantaged households (e.g. dental health insurance) are required to promote oral health among socioeconomically disadvantaged groups.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".