COVID-19 mental health impact among children with early brain injury and associated conditions
Bibliographic record
Abstract
2 years, 4 months) with a range of diagnoses (i.e., neonatal stroke, hypoxic ischemic encephalopathy (HIE), congenital heart disease (CHD) and preterm birth (<32 weeks)). The abbreviated CoRonavIrus Health Impact Survey (CRISIS) was completed by parents as part of their child's routine intake for neuropsychological services. Questions included COVID-19 specific ratings of child mental health impact, child, and parent stressors, with open-ended questions regarding negative and positive COVID-19 related changes. Over 40% of parents described moderate to extreme influence of COVID-19 on their child's mental health. Common child stressors reported included restrictions on leaving the home and social isolation. Among parents, the most common stress reported was caring for their child's education and daily activities. Children's mental health impact was associated with social isolation, parent mental health, COVID-19 economic concern, and number of siblings in the home. Child's age, sex, brain injury severity, or intellectual functioning were not associated with reported COVID-19 mental health impact. Some COVID-19 positives were identified, namely increased quality family time. Findings reflect the significant pandemic mental health impact among neurologically at-risk children and their families. Implications to future clinical needs and considerations for neuropsychological practice are discussed.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".