Discharge instructions for caregivers in the context of pediatric emergency care: a narrative synthesis protocol
Bibliographic record
Abstract
BACKGROUND: The period following discharge from a pediatric emergency department (ED) can be a time of significant vulnerability for caregivers who provide ongoing care to their child when they return home. Discharge communication practice varies widely at the individual practitioner and departmental level. At present, there are no nationally accepted guidelines for discharge communication for children and/or their caregivers in the ED.The primary objective of this knowledge synthesis is to understand how and why discharge instructions work and under what conditions. We will also examine the contextual factors and barriers and facilitators associated with discharge communication across varied ED settings. METHODS/DESIGN: Using an integrated narrative approach, we will synthesize different types of evidence and explore relationships within and between included studies to develop a theory-based and knowledge user-informed discharge communication practice guideline. We will follow key principles for knowledge synthesis including: (1) involvement of a multidisciplinary team (for example, information specialists, statisticians, and content experts); (2) developing focused and answerable questions in collaboration with the knowledge users; (3) using a systematic method including specific tools and techniques appropriate for answering questions concerned with effectiveness and the implementation of interventions; and, (4) involving knowledge users throughout the process in an integrated knowledge translation approach. DISCUSSION: This collaborative and narrative approach will be a determining factor in increasing the reliability, validity and relevance of the study findings for healthcare practice and policy decision-makers. TRIAL REGISTRATION: PROSPERO registration number: CRD42014007106.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".