Unmet Dental Needs in Children Following Suspension of School‐Based Oral Health Services Due to <scp>COVID</scp> ‐19
Bibliographic record
Abstract
BACKGROUND: Dental caries (tooth decay) is the world's most prevalent noncommunicable disease and can lead to pain, infection, and edentulism. Many children with caries lack access to traditional dental services. School-based caries prevention can increase access to care and reduce health inequities. Disruptions in school-based care due to pandemic control policies may result in children losing access to their primary dental care option. METHODS: The CariedAway project was a school-based caries prevention program in operation from 2019 to 2023 in urban schools with a high proportion of low-income, minority students. Program operations were suspended for 2 years due to the COVID-19 pandemic. We estimated the prevalence of untreated decay, swelling, fistula, and pulpal involvement in participants at baseline and again after restrictions were lifted. RESULTS: A total of 2998 children between the ages of 5 and 13 years were enrolled and received preventive care prior to pandemic shutdowns, and 1398 (47%) completed a follow-up observation after 2 years. At baseline, approximately 30% had untreated caries on any dentition, 11% of children presented with evidence of dental sealants, and no participants had swelling, fistula, or pulpal involvement. After 24 months, 12% of participants had swelling fistula, or pulpal involvement that was not treated during the pandemic period. CONCLUSION: There are considerable unmet dental needs in high-risk children that may be further exacerbated by a lack of access to care during disease outbreaks.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".