Pandemic Perils and Promise: Implementation of a Virtual Parenting Intervention during COVID-19 among Children with Early Neurological Conditions
Bibliographic record
Abstract
In this study, we examined feasibility, acceptability, and preliminary efficacy of a telepsychological positive parenting intervention (I–InTERACT-North, Internet-basedInteracting Together Everyday: Recovery After Childhood Traumatic Brain Injury) during the COVID-19 pandemic among Canadian families of children at-risk for neurodevelopmental challenges given congenital or neonatal conditions. I–InTERACT-North was developed to improve behavioral and emotional outcomes in children with neurological conditions by utilizing and adapting parenting strategies from several established family-focused programmes. A pragmatic prospective pre-post single-site pilot study design was used to assess feasibility, acceptabilty, and preliminary efficacy of I-InTERACT North during the COVID-19 pandemic. Thirty-five families of children ages three to nine years were referred between March 2020 and January 2021. Eighteen families enrolled, and 12 (67% adherence) completed the programme. Parents reported strong therapeutic alliance and programme acceptability with barriers due to competing time demands. Therapists reported high acceptability but perceived parental burnout. Parenting confidence (d = 0.70), and child behavior (d = 1.30) improved following the intervention. Results demonstrate the programme’s value to families during the pandemic, while underscoring unique participation barriers. Future research and clinicial implications are discussed.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".