The associations between resilience and socio-demographic factors in parents who care for their children with congenital heart disease
Bibliographic record
Abstract
Objective: To examine the resilience of parents of children with congenital heart disease and to investigate socio-demographic factors that may influence parents' resilience. Methods: This is a web-based survey study using a cross-sectional design. A purposive sampling method was utilized to recruit 515 parents who care for children with congenital heart disease. Resilience was assessed using the Dispositional Resilience Scale-Ⅱ. Based on expert-interviews, a questionnaire was designed to collect socio-demographic data. Descriptive statistics, factor analysis, and linear regressions were used to analyze data. Results: < 0.05). Conclusions: Parents reported resilience that reflected their ability to cope with stressful events and mitigate stressors associated with having and caring for children with congenital heart disease. Lower education levels and lower gross household income are associated with lower resilience. To increase parents' resilience, nursing practice and nurse-led interventions should target screening and providing support for parents at-risk for lower resilience. As lower education level and financial hardship are factors that are difficult to modify through personal efforts, charitable foundations, federal and state governments should consider programs that would provide financial and health literacy support for parents at-risk for lower resilience.
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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 | 0.001 | 0.001 |
| 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".