The Time Course Distribution of Ventilator-Dependent Patients From Receiving Tranquility to Death
Bibliographic record
Abstract
Background:Taylor and others analyzed that cancer patients join tranquility care, the average annual savings before death is US $2,309, and the largest saving is US $750 on the day of death. The later join tranquility care, the higher the medical expenses. The previous research and analysis of cancer patients, only one-tenth of the last stage patients received tranquility care within one year before death, and one-quarter of them intervened within one week before death. The intervention time of tranquility is too short to allow family members and patients to be fully prepared for the best benefit of tranquility care. Research suggests that intervention should be conducted three months before death. In 2011, Taiwan National Health Insurance launched the tranquility care pilot project, which also included patients with ventilator dependence as the target of payment. Therefore, we use Taiwan National Health Insurance database to analyze the time course distribution of ventilator-dependent patients from receiving tranquility to death. Methods:We used Taiwan National Health Insurance database (from 2005 to 211) to analyze the time course distribution of ventilator-dependent patients (over 18 years of age, ventilator use > 20 days and interruption ≤5 days), from received the tranquility care to death. Results:A total of 113,278 ventilator-dependent patients from 2005 to 2011, but only 555 people received tranquility care, and the intervention rate of tranquility was 0.49%; only 179 patients with long-term ventilator dependence who received tranquility care for more than 90 days accounted for all joined tranquility care 32% of the population. Conclusions:A total of 113,278 ventilator-dependent patients from 2005 to 2011, but only 555 people received tranquility care, and the intervention rate of tranquility was 0.49%; only 179 patients with long-term ventilator dependence who received tranquility care for more than 90 days accounted for all joined tranquility care 32% of the population.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".