Characteristics of Emergent and Essential Dental Services in University and Hospital-based Settings During COVID-19 Pandemic in Vancouver, Canada.
Bibliographic record
Abstract
OBJECTIVES: In early 2020, COVID-19 was classified a pandemic. During phase 1 (16 March-18 May 2020) in British Columbia (BC), dental services were restricted to those that were emergent and essential. Such services were provided by several university and hospital-based dental clinics affiliated with the University of British Columbia (UBC), including the BC Cancer Agency Department of Oral Oncology (BCCA), BC Children's Hospital Department of Dentistry (BCCH) and the UBC Oral Health Centre (OHC). This study was designed to describe the types of in-person dental visits during phase 1. METHODS: Data were collected from electronic health records on all in-person dental visits between 16 March and 18 May 2020. Information included date of visit, demographics, reason for the dental visit and treatment provided. Data are presented using descriptive statistics. RESULTS: During phase 1, 396 patients were seen: 263 at the BCCA, 58 at BCCH and 75 at the OHC. At the BCCA, the most frequent reason for an in-person dental visit was essential consultation related to oncology treatment. At BCCH, the most frequent reason was pediatric oral/maxillofacial trauma. At these 2 sites, the most frequent treatment provided was consultation. At the OHC, the most frequent reason for a visit was severe odontogenic pain and infection, and the most frequent treatment was oral surgery. CONCLUSION: During phase 1, emergent and essential dental care was provided at 3 UBC-affiliated clinics. The most common reasons for an in-person visit were odontogenic infection, severe pain, trauma and essential consultations related to medical therapy. The most common treatments provided were consultations and oral surgery.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".