Is the <scp>G</scp>ive <scp>Y</scp>outh a <scp>V</scp>oice questionnaire an appropriate measure of teen‐centred care in paediatric oncology: a <scp>R</scp>asch measurement theory analysis
Bibliographic record
Abstract
BACKGROUND: Adolescents have their own views about the cancer care they receive and how they feel they are treated, but their opinions are rarely solicited. OBJECTIVE: To determine whether the 56-item Give Youth a Voice (GYV-56), its subscales and its 20-item short-form, are clinically meaningful and psychometrically sound instruments that can be used to measure teen-centred care (TCC) in paediatric oncology. DESIGN: Qualitative interviews and a questionnaire survey. SETTING AND PARTICIPANTS: Qualitative interviews with 38 childhood cancer survivors. GYV-56 data collected from 200 paediatric cancer patients and survivors. MAIN OUTCOME MEASURE: The GYV-56, which measures the following four aspects of service delivery: Supportive and respectful relationships; Information sharing and communication; Supporting independence; and Teen-centred services. RESULTS: Qualitative data provided broad support for the TCC conceptual framework and GYV-56 items. After post-hoc reduction of the response options from 7 to 3 (to correct for disordered thresholds), fit to the Rasch model was good, most items showed acceptable fit residuals and chi-square P-values, scale reliability were supported and item locations defined a continuum for TCC that was well-targeted to the sample. By calibrating the items for each subscale and the short-form to the full scale, the scores obtained on each measure are directly comparable. CONCLUSION: Our study found initial support for use of the GYV with a reduced response option format for examining TCC in the adolescent oncology patients. in this paediatric population. Further research using the GYV is needed to elaborate upon our findings.
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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 | 0.003 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".