Impact of Delayed Dental Treatment during the COVID-19 Pandemic in an Undergraduate Dental Clinic in Southwestern Ontario, Canada - A Retrospective Chart Review.
Bibliographic record
Abstract
OBJECTIVES: To investigate the impact of a COVID-19 mandated lockdown on the type and frequency of dental services accessed at an undergraduate dental clinic in southwestern Ontario. METHODS: We retrieved anonymized sociodemographic (n = 4791) and billing data (n = 11616) of patients for 2 periods of 199 days, before (T1) and after (T2) lockdown. We applied descriptive statistics and used Student's t test to compare the type and frequency of dental services provided between the 2 periods. We mapped forward sortation area (FSA) codes of each patient. RESULTS: Of the 4791 patients seen collectively in T1 and T2, most (67%) sought care before the lockdown. In both periods, most patients were ≥ 60 years of age (51.8%), female (33.9%) and residing in an urban area (88.6%). Compared with T1, there was a significant increase in middle-aged adults (p = 0.002) and significantly fewer patients earning over CAD 100 000 (p = 0.021) in T2. A total of 11616 billable procedures were carried out during T1 and T2: in T1, most procedures were preventative, whereas in T2, most were related to urgent care. Significantly fewer males than females sought urgent care, regardless of time. Finally, mapping showed a decrease in patients from Toronto, central and northern Ontario and clustering of patients in southwestern Ontario. CONCLUSION: We noted an overall reduction in billed services following the COVID-19 lockdown. The decrease in both billed services and patients seen during T2 demonstrates the impact of COVID-19 on access to timely and definitive dental care during the first 2 years of the pandemic.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".