Arabian undergraduates perceptions regarding barriers among the geriatric patients for failing to keep dental appointments: A cross-sectional study
Bibliographic record
Abstract
Abstract: Background: Regular visits to the health care providers can develop a relationship that can extend beyond the physical health alone as the patient is transiting towards older age, adapting to changes in physical health, emotional health, and social connections. Apart from limiting access to health care services, the attitudes, beliefs, comfort level of the treating doctors towards the geriatric patients can motivate or demotivate them to access dental care. Aims: To explore the Saudi Arabian undergraduate student’s perception of geriatric patients' and identify potential barriers that prevent the utilization of their dental appointment. Methods: A close-ended questionnaire with one question and eight reasons was administered to the 5th year clinical students. The students were requested to specify their agreement with each question on 5 points Likert scale. Among the barriers presented, each reason's approval was expressed as the percentage of the total number of responses. In addition, the gender comparison of mean scores was made, and an independent sample t-test was used to analyze the statements agreed by the students. All analyses were performed using SPSS (Statistical Package of Social Sciences) version 21.0 (IBM, USA) with the probability of statistical significance at 0.05 level. Results: Fifty-one students recorded their perceptions on the questionnaire administered during their clinical posting in the fifth year of the geriatric dental education program. It was concluded that students believed that geriatric patients give overwhelming importance to other problems with minor importance to oral health care. In addition, gender comparison was more evident as the percentage expressed was more in females. Conclusion: There is a need for more clinical exposure of geriatric patients during their clinical postings. Student’s acquaintance with didactic and clinical settings appears to be a critical element towards positive knowledge and attitude towards the geriatric population. Keywords: Geriatric dentistry, perception about geriatric, dental students, geriatric patients
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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 | 0.000 |
| Science and technology studies | 0.001 | 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".