Pattern of patients' attendance to the dental clinic of federal college of dental technology and therapy, Enugu, Nigeria
Bibliographic record
Abstract
INTRODUCTION: Oral health is part of general health and should not be considered in isolation, as it contributes to the individual's health related quality of life. The study aimed at assessing the pattern of attendance to the dental clinic using dental records of patients. METHODS: This was a retrospective study of 6008 retrieved case notes from the dental clinic of Federal College of Dental Technology and Therapy, Enugu, from June, 2016 to May, 2017. Data on age, sex and occupation were retrieved from the dental records of the institution. Association between age, sex, occupation and patient flow to dental clinic was determined. RESULTS: More females (55.7%) than males (44.3%) attended the dental clinic within the study period. Also, those aged 16 to 30 years (39.5%) and school pupils/students (40.8%) attended dental clinic the most when compared to other attendees. Patient flow was greatest in the first quarter of the year (27.1%), followed by the third quarter (26.1%). However, patient flow was least in the last quarter (20.9%). There was significant association between age (P < 0.001), occupation (P = 0.03) and patient flow to dental clinic in yearly quarters. CONCLUSION: Being an adolescent or young adult and being a student were significantly associated with patient flow to the dental clinic in yearly quarters in the study area. Patient flow was greatest in the first quarter and least in the last quarter of the year. There is need to increase dental awareness, especially for preventive visit among older age group and non-students in the populace.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".