Evaluation of a Modified SBAR Report to Physician Tool to Standardize Communication on Neonatal Transport
Bibliographic record
Abstract
OBJECTIVE: SBAR (situation, background, assessment and recommendation) is a structured format for the effective communication of critically relevant information. This tool was developed as a generic template to provide structure to the communication of clinical information between health care providers. Neonatal transport often presents clinically stressful circumstances where concise and accurate information is required to be shared clearly between multidisciplinary health care providers. A modified SBAR communication tool was designed to facilitate structured communication between nonphysician bedside care providers operating from remote sites and physicians providing decision-making support at receiving care facilities. Prospective interventional study was designed to evaluate the reliability of a "SBAR report to physician tool" in sharing clinically relevant information between multidisciplinary care providers on neonatal transport. STUDY DESIGN: The study was conducted between 2011 and 2014 by a dedicated neonatal transport service based at McMaster Children's Hospital which provides care for approximately 500 infants in Southern Ontario annually. In the preintervention phase, 50 calls were randomly selected for the evaluation and 115 consecutively recorded transport calls following adoption of the reporting tool. The quality of calls prior to and after the intervention was assessed by reviewers independently. Inter-rater agreement was also assessed for both periods. RESULTS: < 0.001) in postintervention period. CONCLUSION: The use of the SBAR report to physician tool improved the quality of clinical information shared between nonphysician members of the neonatal transport team and neonatal transport physicians. KEY POINTS: · Long-Accurate and concise information sharing is crucial for decision-making in neonatal transport.. · Information sharing between multidisciplinary teams can be enhanced by using a commonly understood information sharing template.. · The SBAR report to physician tool improves the quality of information shared between multidisciplinary team members in neonatal transport..
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.073 | 0.158 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".