Patient and family engagement in the development of core outcome sets for two rare chronic diseases in children
Bibliographic record
Abstract
BACKGROUND: Core outcome sets (COS) are lists of consensus-determined outcomes to be measured and reported in all clinical research studies within a disease area. While including patients and families in COS development to improve their relevance and applicability to patient values is key, there is limited literature documenting practical barriers and facilitators to successful patient engagement in COS development. In this paper, as researchers and patient partners, we provide a resource for COS developers to meaningfully and effectively engage patients and families. MAIN BODY: To establish a consensus-based COS for children with two inherited metabolic diseases (medium-chain acyl-CoA dehydrogenase deficiency and phenylketonuria), we conducted an evidence review, Delphi survey, and workshop. Two adult patient partner co-investigators co-developed the study protocol, co-designed strategies to address challenges with incorporating patient perspectives, and led all patient engagement activities, including communication with a group of family advisors. Seven adult family advisors received training about COS development and subsequently contributed to Delphi survey development, outcome definitions, the consensus workshop, and selection of outcome measurement instruments. Patient partner co-investigators and family advisors were essential to the successful design, conduct, and completion of the two COS. Patient partner co-investigators supported the understanding, inclusion and engagement of family advisors, and helped develop accessible tools to determine patient-oriented outcome measurement instruments. Patient partner co-investigators and family advisors collaborated with the study team to co-develop surveys, modify technical language, and recruit participants to the study. Together, we addressed challenges to patient engagement in COS development such as unfamiliarity with study methods, comprehensibility of materials and ongoing engagement, and power imbalances between team members. CONCLUSION: Our approach to patient and family engagement in COS development for two rare conditions for children was feasible and considered valuable by all study team members, including patients and family members, in improving the relevance of the deliverable to patients. This approach to patient engagement in developing COS can be applied to other paediatric disease contexts, allowing patient and family perspectives to influence the direction of future studies to develop COS.
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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 | 0.272 | 0.265 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".