Addressing Communication Breakdowns during Emergency Care Transitions of Older Adults: Evaluation of a Standardized Inter-Facility Health Care Communication Form
Bibliographic record
Abstract
Transitions for older persons from long-term care (LTC) to the emergency department (ED) and back, can result in adverse events. Effective communication among care settings is required to ensure continuity of care. We implemented a standardized form for improving consistency of documentation during LTC to ED transitions of residents 65 years of age or older, via emergency medical services (EMS), and back. Data on form use and form completion were collected through chart review. Practitioners' perspectives were collected using surveys. The form was used in 90/244 (37%) LTC to ED transitions, with large variation in data element completion. EMS and ED reported improved identification of resident information. LTC personnel preferred usual practice to the new form and twice reported prioritizing form completion before calling 911. To minimize risk of harmful unintended consequences, communication forms should be implemented as part of broader quality improvement programs, rather than as stand-alone interventions.
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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 | 0.042 | 0.092 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".