Psychosocial health and quality of life among children with cardiac diagnoses: agreement and discrepancies between parent and child reports
Bibliographic record
Abstract
Psychosocial health issues are common among children with cardiac diagnoses. Understanding parent and child perceptions is important because parents are the primary health information source. Significant discrepancies have been documented between parent/child quality-of-life data but have not been examined among psychosocial diagnostic instruments. This study examined agreement and discrepancies between parent and child reports of psychosocial health and quality of life in the paediatric cardiology population. Children (n=50, 6-14 years) with diagnoses of CHDs (n=38), arrhythmia (n=5), cardiomyopathy (n=4), or infectious disease affecting the heart (n=3) were enrolled, completing one or more outcome measures. Children and their parents completed self-reports and parent proxy reports of quality of life - Pediatric Quality of Life Inventory - and psychosocial health - Behavioral Assessment Scale for Children (Version 2). Patients also completed the Multidimensional Anxiety Scale for Children. Associations (Pearson's correlations, Intraclass Correlation Coefficients) and differences (Student's t-tests) between parent proxy reports and child self-reports were evaluated. Moderate parent-child correlations were found for physical (R=0.33, p=0.03), school (R=0.43, p<0.01), social (R=0.36, p=0.02), and overall psychosocial (R=0.43, p<0.01) quality of life. Parent-child reports of externalising behaviour problems, for example aggression, were strongly correlated (R=0.70, p<0.01). No significant parent-child associations were found for emotional quality of life (R=0.25, p=0.10), internalising problems (R=0.17, p=0.56), personal adjustment/adaptation skills (R=0.23, p=0.42), or anxiety (R=0.07, p=0.72). Our data suggest that clinicians caring for paediatric cardiac patients should assess both parent and child perspectives, particularly in relation to domains such as anxiety and emotional quality of life, which are more difficult to observe.
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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 | 0.006 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".