Understanding Acute Care Usage by Adult Chronically Critically Ill Ventilated Patients: A Chart Review
Bibliographic record
Abstract
Objectives: To better understand the rationale for acute care usage among long term care ventilated residents. Background: Chronically critically ill ventilated individuals experience complex health challenges, with many not surviving one year post initial hospitalization discharge. Recent research reports high acute care readmission rates for chronically critically ill patients, yet most studies have not examined the reasons patients are readmitted, nor the treatment and care provided during these stays. Method: A retrospective medical chart reviews of all emergency department visits and acute care admissions, occurring from August 2014 to August 2016, of chronically critically ill ventilated individuals living in a residential care facility in the province of British Columbia, Canada was conducted. Results: There were 49 emergency department visits and 56 acute care admissions over a 2 year period by 20 chronically critically ill ventilated residential care patients. The majority of acute care admissions were related to pneumonia, whereas the majority of emergency department visits were not specified. Conclusion: Chronically critically ill ventilated long term care residents are high users of acute care resources, frequently admitted for pneumonia.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".