Development and content validation of the Muscular Dystrophy Child Health Index of Life with Disabilities questionnaire for children with Duchenne muscular dystrophy
Bibliographic record
Abstract
AIM: To develop a patient-reported outcome measure that comprehensively captures the health-related priorities of children with Duchenne muscular dystrophy (DMD). METHOD: Children with DMD and their parents completed the iteratively revised versions of the Caregiver Priorities and Child Health Index of Life with Disabilities (CPCHILD), followed by a cognitive interview to develop a pilot version of a new measure. Multidisciplinary health care professionals completed an item-by-item analysis of the measure and a 14-item sensibility questionnaire. Minimum content validity ratio for each item of the new measure and the mean score (0-7) for the items of the sensibility questionnaire were calculated. RESULTS: The CPCHILD underwent changes over 19 interviews with children and their parents, resulting in the pilot Muscular Dystrophy Child Health Index of Life with Disabilities (MDCHILD). The content validity ratio of each MDCHILD item ranged from 0.85 to 1 based on health care professionals' ratings. The mean score exceeded the threshold of four for all items of the sensibility questionnaire. Based on child, parent, and health care professional recommendations, 16 items were added, six eliminated, and 15 items modified from the original CPCHILD. The MDCHILD consists of 47 items over seven domains. INTERPRETATION: The MDCHILD met all sensibility criteria by children with DMD, their parents, and health care professionals, and is ready for psychometric evaluation. WHAT THIS PAPER ADDS: The Muscular Dystrophy Child Health Index of Life with Disabilities (MDCHILD) is a new patient-reported outcome measure for Duchenne muscular dystrophy (DMD). The Priority Framework of Outcomes underpins the content for the MDCHILD. The MDCHILD incorporates the health-related priorities of males with DMD and their parents. The MDCHILD was deemed sensible by children, their parents, and health care professionals.
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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 | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".