Access to Pediatric Eye Care During a Pandemic: Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Visual impairment affects many children and can lead to blindness if untreated. The coronavirus disease 2019 (COVID-19) pandemic has led to various restrictions and other challenges accessing in-person medical care, including essential pediatric eye care. The aim of this article was to determine and quantify the effect that pandemics have on access to pediatric eye care. A systematic literature search was conducted using various databases, which yielded 257 articles; nine were included in the final review. All included studies reported a decrease in the number of children accessing eye care during COVID-19. Most studies described virtual triage systems, which restricted in-person care to emergent cases. The average decrease in daily pediatric visits was 67.32% and reached statistical significance in the meta-analysis ( P < .01). However, out of all patients with ocular complaints, the proportion of pediatric visits was unchanged, suggesting that the decrease in access to eye care was not specific to pediatric patients. [ Pediatr Ann . 2023;52(2):e68–e75.]
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.012 | 0.004 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".