Developing patient resources to enable the exchange of healthy lifestyle information between clinicians and families of children with complex heart problems
Bibliographic record
Abstract
BACKGROUND: Healthy active lifestyles are critically important for children with complex heart problems (CHP) that affect heart structure, rhythm or function. They are at increased risk for morbidities such as atherosclerosis, obesity, anxiety and depression. Educating children with CHP and their families about the relevance of healthy lifestyles is an important part of clinical care. DESIGN: This study used a collaborative approach among six patients/family members and 22 health professionals to develop a series of knowledge-to-action tools suitable for counselling children with CHP and their families about their healthy lifestyle needs. METHODS: After development of the knowledge-to-action tools had been completed, one cardiologist and one research assistant implemented one or more of these new resources during each clinic visit as appropriate for each patient. Thirty-nine parents and eight children completed post-clinic interviews to explore their perceptions of the new resources. The nine resources developed included brochures and websites addressing physical activity with a heart condition, body contact restrictions, exercise test results, emotional health, finding community resources, encouragement for asking healthy lifestyle questions and a brief, in-clinic healthy lifestyle assessment. RESULTS: Families found the resources useful and helpful for clarifying their specific concerns. They also provided suggestions to improve the content and delivery of the resources so that they would be suitable for a variety of settings-schools, community and sports. CONCLUSION: Future research is required to evaluate the effectiveness of these resources for raising awareness and knowledge about healthy active lifestyles among children with CHP and the impact of these resources for changing healthy lifestyle behaviours.
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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 | 0.014 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".