Content comparison of health-related quality of life measures for cerebral palsy based on the International Classification of Functioning
Bibliographic record
Abstract
PURPOSE: Content comparison of health-related quality of life (HRQOL) measures is currently important because of the varying use of concepts and operationalisations. Our objective was to use the International Classification of Functioning Children and Youth version (ICF-CY) as a standard by which to compare the content of all cerebral palsy (CP) disease-specific HRQOL measures. METHODS: MEDLINE and PsycINFO databases were searched up to September 2008. The content of HRQOL measures was linked to the ICF-CY by two trained assessors. Agreement was calculated using kappa (κ) statistic. RESULTS: Four disease-specific HRQOL measures were identified. Three generic measures were selected as a content comparison group. A total of 576 concepts contained in the measures were identified. Eighty-nine percent (n = 510) were linked to 127 different ICF-CY categories. Overall κ agreement was 0.76 (95% CI: 0.75-0.77). Forty percent of concepts were linked to the activity and participation component. The measures varied in the number of concepts and the distribution of concepts by ICF-CY components. CONCLUSIONS: The ICF-CY provided an international accepted, structured framework for the content comparison of CP-specific and generic HRQOL measures. The results will provide clinicians and researchers with additional information, useful when selecting HRQOL measures.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".