A Clinical Pathway to Standardize Care of Children With Delirium in Pediatric Inpatient Settings
Bibliographic record
Abstract
Pediatric delirium is an important comorbidity of medical illness in inpatient pediatric care that has lacked a consistent approach for detection and management. A clinical pathway (CP) was developed to address this need. Pediatric delirium contributes significantly to morbidity, mortality, and costs of inpatient care of medically ill children and adolescents. Screening for delirium in hospital settings with validated tools is feasible and effective in reducing delirium and improving outcomes; however, multidisciplinary coordination is required for implementation. The workgroup, composed of international experts in child and adolescent consultation psychiatry, reviewed the literature and developed a flowchart for feasible screening and management of pediatric delirium. When evidence was lacking, expert consensus was reached; stakeholder feedback was included to create the final pathway. A CP expert collaborated with the workgroup. Two sequential CPs were created: (1) "Prevention and Identification of Pediatric Delirium" emphasizes the need for systematic preventive measures and screening, and (2) "Diagnosis and Management of Pediatric Delirium" recommends an urgent and ongoing search for the underlying causes to reverse the syndrome while providing symptomatic management focused on comfort and safety. Detailed accompanying documents explain the supporting literature and the rationale for recommendations and provide resources such as screening tools and implementation guides. Additionally, the role of the child and adolescent consultation-liaison psychiatrist as a resource for collaborative care of patients with delirium is discussed.
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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 | 0.015 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".