Reasons for returning to the emergency department following discharge from an internal medicine unit: perspectives of patients and the liaison nurse clinician
Bibliographic record
Abstract
AIMS AND OBJECTIVES: To understand the patients' reasons for returning to the emergency department soon after their discharge from an internal medicine unit and to compare these reasons with the liaison nurse clinician's risk assessment tools used for discharge planning. BACKGROUND: Returns to the emergency departments soon after discharge from the hospital are a recurrent problem. Factors precipitating readmission to hospital have been analysed through the lens of health care providers, but few studies have explored the patients' perspectives on their reasons for returning to the emergency departments. DESIGN: A qualitative, descriptive study. METHODS: Semi-structured interviews were conducted with a convenience sample of eight patients recruited from a major teaching hospital in Montreal, Canada. Three different data sources were triangulated: patients' perspectives obtained through interviews and data from the tools used by the liaison nurse clinician, the Bounceback Probability Legend and the LACE Index Scoring Tool. RESULTS: Most patients attributed their return to the emergency department on being discharged too soon, feeling weak at discharge, having limited help at home with managing chronic illnesses and insufficient discharge instructions. participants' reasons for returning differed from those predicted by the liaison nurse clinician's evaluation using the risk assessment tools of each participant's risk of return. CONCLUSIONS: This study highlights patients' frailty upon discharge from the hospital and their informational need on their health condition and their support need to rely on during convalescence at home. Patient's readiness and concerns were not integrated as part of the liaison nurse clinician's evaluation tools for discharge planning. This led to discrepancies between the perspectives of the patients and the liaison nurse clinician about discharge planning. RELEVANCE TO CLINICAL PRACTICE: Health care professionals should evaluate patients' understanding of their illness, their readiness for self-management and work collaboratively with patients to assess concerns before discharge, so that appropriate support can be mobilised to prevent readmission.
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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 | 0.003 | 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".