Development of an international standard set of clinical and patient-reported outcomes for children and adults with congenital heart disease: a report from the International Consortium for Health Outcomes Measurement Congenital Heart Disease Working Group
Bibliographic record
Abstract
AIMS: Congenital heart disease (CHD) is the most common congenital malformation. Despite the worldwide burden to patient wellbeing and health system resource utilization, tracking of long-term outcomes is lacking, limiting the delivery and measurement of high-value care. To begin transitioning to value-based healthcare in CHD, the International Consortium for Health Outcomes Measurement aligned an international collaborative of CHD experts, patient representatives, and other stakeholders to construct a standard set of outcomes and risk-adjustment variables that are meaningful to patients. METHODS AND RESULTS: The primary aim was to identify a minimum standard set of outcomes to be used by health systems worldwide. The methodological process included four key steps: (i) develop a working group representative of all CHD stakeholders; (ii) conduct extensive literature reviews to identify scope, outcomes of interest, tools used to measure outcomes, and case-mix adjustment variables; (iii) create the outcome set using a series of multi-round Delphi processes; and (iv) disseminate set worldwide. The Working Group established a 15-item outcome set, incorporating physical, mental, social, and overall health outcomes accompanied by tools for measurement and case-mix adjustment variables. Patients with any CHD diagnoses of all ages are included. Following an open review process, over 80% of patients and providers surveyed agreed with the set in its final form. CONCLUSION: This is the first international development of a stakeholder-informed standard set of outcomes for CHD. It can serve as a first step for a lifespan outcomes measurement approach to guide benchmarking and improvement among health systems.
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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 | 0.312 | 0.242 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.011 | 0.009 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.007 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".