The Clinical Definition of Children With Medical Complexity: A Modified Delphi Study
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Children with medical complexity (CMC) comprise a subgroup of children with severe chronic diseases. A conceptual definition for CMC has been formulated, but there is no agreement on criteria to fulfill each of the 4 proposed domains: diagnostic conditions, functional limitations, health care use, and family-identified needs. Our objective with this study was to identify a standardized definition of CMC. METHODS: Through a scoping review of the CMC literature, we identified potential criteria to fulfill each domain. These were incorporated into an electronic survey that was completed by a geographic and professionally varied panel of 81 American and Canadian respondents with expertise in managing CMC (response rate 70%) as part of a 4-iteration Delphi procedure. Respondents were asked to vote for the inclusion of each criterion in the definition, and for those with quantitative components (eg, hospitalization rates), to generate a consensus threshold value for meeting that criterion. The final criteria were analyzed by a committee and collapsed when situations of redundancy arose. RESULTS: Of 1411 studies considered, 132 informed 55 criteria for the initial survey, which was presented to 81 respondents. Consensus for inclusion was reached on 48 criteria and for exclusion on 1 criterion. The committee collapsed those 48 criteria into 39 final criteria, 1 for diagnostic conditions, 2 for functional limitations, 13 for health care use, and 23 for family needs. CONCLUSIONS: These results represent the first consensus-based, standardized definition of CMC. Standardized identification is needed to advance understanding of their epidemiology and outcomes, as well as to rigorously study treatment strategies and care models.
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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 | 0.155 | 0.158 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".