Association between parental perception of children's vulnerability to illness and management of children's asthma
Bibliographic record
Abstract
This study examined the relationship between asthma management strategies used by parents and parental perception of children's vulnerability to illness. Home interviews were conducted with 101 parents of children previously hospitalized with asthma. The child vulnerability scale (CVS) was employed to assess parents' perception of their children's vulnerability to illness. The asthma severity index (ASI) was used to measure the frequency and intensity of asthma symptoms experienced by children in the preceding 12 months. Five markers of parental asthma management were assessed: (i) school absences; (ii) visits to the general practitioner (GP); (iii) visits to the emergency room (ER); (iv) hospitalizations; and (v) whether children are using a regular preventer. After controlling for the frequency and intensity of children's asthma symptoms, parents who perceived that their children were more vulnerable to medical illness were significantly more likely to keep their children home from school (P = 0.01), were more likely to take their children to the GP for acute asthma care (P = 0.02), and were more likely to be giving their children regular preventer medication (P = 0.02). In contrast, the use of tertiary pediatric care services was not significantly associated with parental perceptions of their children's vulnerability. The results suggest that parental attitudes and beliefs about the vulnerability of their children to illness were associated with greater use of GP services by parents and more frequent school absences for children. The use of hospital services by parents appeared to be more strongly associated with the actual level of children's asthma symptoms than their vulnerability to illness.
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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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".