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
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it