Exploring Integration of Care for Children Living with Complex Care Needs across the European Union and European Economic Area
Bibliographic record
Abstract
<p class="p1"><strong>Introduction: </strong>The aim of this paper is to report on the development of surveys to explore integration of care for children living with complex care needs across the European Union (EU) and European Economic Area (EEA). <p class="p2"><strong>Theory and methods: </strong>Each survey consists of a vignette and questions adapted from the <em>Standards for Systems of Care for Children and Youth with Special Health Care Needs and the Eurobarometer Survey</em>. A Country Agent in each country, a local expert in child health services, will obtain data from indigenous sources. <p class="p2"><strong>Results: </strong>We identified ‘in-principle’ complex problems and adapted surveys to capture care integration. We expect to get rich data to understand perceptions and to inform actions for a number of complex health issues. <p class="p2"><strong>Conclusion: </strong>The study has the potential to make a wide contribution to individual countries of the EU/EEA to understand their own integration of services mapped against responses from other member states. Early results are expected in Spring 2017.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".