Psychometric Validation of the CLEFT-Q Patient Reported Outcome Measure: A Prospective Study to Examine Cross-Sectional Construct Validity
Bibliographic record
Abstract
ObjectiveCLEFT-Q is a condition-specific patient-reported outcome measure (PROM) for patients with cleft lip and/or palate (CL/P). The aim of this study was to examine the cross-sectional construct validity of the CLEFT-Q scales.DesignConstruct validity was assessed through a prospective study that tested hypotheses regarding correlations of scores with other PROMs that measure related constructs.SettingSeven cleft centres in Canada, the USA, and UK were involved.Patients/ParticipantsPatients were aged eight to 29 years with CL/P.InterventionsBefore undergoing rhinoplasty, orthognathic, cleft lip scar revision, and alveolar bone graft, participants were asked to complete the following PROMs: CLEFT-Q (9 scales), Child Oral Health Impact Profile (socio-emotional subscale) and Cleft Hearing Appearance and Speech Questionnaire (features 1 subscale).Main Outcome Measure(s)The correlation coefficients examining the relationship between the scales were the main outcome measures. Correlations (Spearman) were calculated and interpreted as follows: <0.3 weak, 0.30 to 0.50 moderate, ≥0.50 strong.ResultsParticipants (<i>n</i> = 177) were mostly male (61%) and aged between eight and 11 years (42%). Overall, 38 of 52 (73%) hypotheses tested were supported. More specifically, 20 of 26 (77%) hypotheses about correlations between the appearance scales were supported, two of three (67%) hypotheses about correlations between the health-related quality of life scales were supported, and 16 of 23 (70%) hypotheses about correlations between the appearance and health-related quality of life scales were supported.ConclusionsCross-sectional construct validity of the CLEFT-Q scales adds further evidence of the psychometric properties of this instrument.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".