International multiphase mixed methods study protocol to develop a cross-cultural patient-reported outcome instrument for children and young adults with cleft lip and/or palate (CLEFT-Q)
Bibliographic record
Abstract
INTRODUCTION: Patient-reported outcome (PRO) instruments should be developed according to rigorous guidelines in order to provide clinically meaningful, scientifically sound measurement. Understanding the methodology behind instrument development informs the selection of the most appropriate tool. This mixed methods protocol describes the development of an internationally applicable PRO instrument, the CLEFT-Q, for evaluating outcomes of treatment for cleft lip and/or palate (CL/P). METHODS AND ANALYSIS: The study includes three main phases that occur iteratively and interactively. In phase I, we determine what concepts are important to patients regarding their outcome. A conceptual framework for the CLEFT-Q is formed through a systematic review and an extensive international qualitative study. The systematic review ascertains what concepts have previously been measured in patients with CL/P. The qualitative study employs interpretive description and involves in-depth interviews with patients in high-income and lower-middle income countries. Preliminary items are generated from the qualitative data. Preliminary scales are then created for each theme in the framework. Cognitive debriefing interviews and expert clinician input are used to refine the scales in an iterative process. In phase II, the preliminary scales are administered to a large international group of patients with CL/P. The modern psychometric method of Rasch Measurement Theory analysis is employed to define the measurement characteristics. The preliminary scales are shortened based on these results. In phase III, further tests assess reliability, validity and responsiveness of the instrument. ETHICS AND DISSEMINATION: The study is approved by Research Ethics Boards for each participating site. Findings from this study will be published in open access peer-reviewed journals and presented at national and international conferences. Integrated knowledge translation is employed to engage stakeholders from the outset of the study. Successful execution of the CLEFT-Q will result in an internationally applicable PRO instrument for children and young adults with CL/P.
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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 | 0.108 | 0.093 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.059 | 0.013 |
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".