Measuring the health status of children with hydrocephalus by using a new outcome measure
Bibliographic record
Abstract
OBJECT: In the preceding article, the authors described the Hydrocephalus Outcome Questionnaire (HOQ), a simple, reliable, and valid measure of health status in children with hydrocephalus. In the present study, they present their initial experience in using the HOQ to quantify the health status in a typical cohort of children with hydrocephalus. METHODS: The mothers of children with hydrocephalus completed the HOQ and, with the child's attending surgeon, provided a global rating of their children's health. An exploratory analysis was performed using a multivariate analysis of variance (ANOVA) to determine which variables might be associated with worse health status. The mothers of 80 children, ranging in age from 5 to 17 years, participated in the study. The mean HOQ Overall Health score was 0.68, a value estimated to be equivalent to a mean health utility score of 0.77. The global health ratings provided by the mothers and the surgeons were moderately correlated with the HOQ scores (Pearson correlations 0.58 and 0.57, respectively). Results of the multivariate ANOVA indicated that the presence of epilepsy was strongly associated with a worse health status (p < 0.0001, F-test). CONCLUSIONS: The health status of a typical sample of children with hydrocephalus was measured using the HOQ. The only consistently significant association with health status found was the presence of epilepsy.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".