Pushing the envelope: clinical handover from the aged‐care home to the emergency department
Bibliographic record
Abstract
OBJECTIVE: To evaluate the use and usefulness of an aged-care home (ACH) transfer- to-hospital envelope (the Envelope) as a tool to support safe clinical handover when an ACH resident is transferred to an emergency department (ED). DESIGN, SETTING AND PARTICIPANTS: Participants in the study were 26 ACHs (1545 beds), the EDs of six major metropolitan public teaching hospitals in Melbourne, and ambulance officers involved in transferring residents from ACHs to hospitals. Transfer data were collected over an 18-week period (January-May 2008). Evaluation methods included written surveys and semi-structured face-to-face interviews (interviewees were 19 ACH staff, 30 ED staff, and 7 ambulance officers familiar with the Envelope). MAIN OUTCOME MEASURES: Use, usefulness and ease of use of the Envelope; impact of using the Envelope on clinical handover; awareness of the need for clinical handover; sustainability of the project. RESULTS: The Envelope was used for the large majority of ACH residents transferred to hospital (ACH data: 317/355 [89%]; ED data: 85/101 [84%]); 163/165 ACH staff (99%) thought the Envelope was useful, and 148/165 (90%) said it was easy to use; 128/165 ACH staff (78%) and all interviewees believed that using the Envelope improved clinical handover; and 152/165 ACH staff (92%) indicated they would continue to use the Envelope. All interviewees thought that using the Envelope had raised awareness of the need for clinical handover. CONCLUSION: The Envelope is useful and easy to use. It is used in the large majority of transfers of ACH residents to EDs and is highly valued by ACH staff, ambulance officers and ED staff. Our results suggest that use of the Envelope makes clinical handover safer for patients.
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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 | 0.007 | 0.026 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".