I-SAVE Study: Impact of Sedation, Analgesia, and Delirium Protocols Evaluated in the Intensive Care Unit: An Economic Evaluation
Bibliographic record
Abstract
BACKGROUND: Intensive care units (ICUs) account for considerable health care costs. Adequate pain and sedation management is important to clinical care. OBJECTIVE: To determine whether implementing a protocol for management of analgesia, sedation, and delirium in the ICU would save costs. METHODS: With data from the I-SAVE (Impact of Sedation, Analgesia and Delirium Protocols Evaluated in the Intensive Care Unit: an Economic Evaluation) study, a prospective pre- and postprotocol design was used. Between the 2 periods, protocols for systematic management of sedation, analgesia, and delirium were implemented. Cost-effectiveness was calculated by associating the variation of cost and effectiveness measures (proportion of patients within targeted pain, sedation, and delirium goals). Total costs (in 2004 Canadian dollars), by patient, consisted of the sum of sedation, analgesia, and delirium drug acquisition costs during the ICU stay and the cost of the ICU stay. RESULTS: A total of 1214 patients, 604 in the preprotocol group and 610 in the postprotocol group, were included. The mean (SD) ICU length of stay and the duration of mechanical ventilation were shorter among patients of the postprotocol group compared with those of the preprotocol group (5.43 [6.43] and 6.39 [8.05] days, respectively; p = 0.004 and 5.95 [6.80] and 7.27 [9.09] days, respectively; p < 0.009). The incidence of delirium remained the same. The proportion of patients with Richmond Agitation and Sedation (RASS) scores between -1 and +1 increased from 57.0% to 66.2% (p = 0.001), whereas the proportion of patients with a numeric rating scale (NRS) score of 1 or less increased from 56.3% to 66.6% (p < 0.001). The mean total cost of ICU hospitalization decreased from $6212.64 (7846.86) in the preprotocol group to $5279.90 (6263.91) in the postprotocol group (p = 0.022). The cost analyses for pain and agitation management improved; the proportion of patients with RASS scores between -1 and +1 or NRS scores of 1 or less increased significantly in the postprotocol group while costing, on average, $932.74 less per hospitalization. CONCLUSIONS: Establishing protocols for patient-driven management of sedation, analgesia, and delirium is a cost-effective practice and allows savings of nearly $1000 per hospitalization.
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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 | 0.020 | 0.040 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.009 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".