Health related quality of life in 3 and 4 year old children and their parents: preliminary findings about a new questionnaire.
Bibliographic record
Abstract
BACKGROUND: Few measures of health related quality of life exist for use with preschool aged children. The objective of this study was to assess reliability and validity of a new multidimensional generic measure of health-related quality of life developed for use with preschool children. METHODS: Cross-sectional survey sent to parents as their child turned 3 1/2 years of age. The setting was the province of British Columbia, Canada. Patients included all babies admitted to tertiary level neonatal intensive care units (NICU) at birth over a 16-month period, and a consecutive sample of healthy babies. The main outcome measure was a new full-length questionnaire consisting of 3 global items and 10 multi-item scales constructed to measure the physical and emotional well-being of toddlers and their families. RESULTS: The response rate was 67.9%. 91% (NICU) and 84% (healthy baby) of items correlated with their own domain above the recommended standard (0.40). 97% (NICU) and 87% (healthy baby) of items correlated more highly (> or = 2 S.E.) with their hypothesized scale than with other scales. Cronbach's alpha coefficients varied between.80 and.96. Intra-class correlation coefficients were above.70. Correlations between scales in the new measure and other instruments were moderate to large, and were stronger than between non-related domains. Statistically significant differences in scale scores were observed between the NICU and healthy baby samples, as well as between those diagnosed with a health problem requiring medical attention in the past year versus those with no health problems. CONCLUSIONS: Preliminary results indicate the new measure demonstrates acceptable reliability and construct validity in a sample of children requiring NICU care and a sample of healthy children. However, further development work is warranted.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".