Impact of a family support intervention on hospitalization costs and hospital readmissions among ICU patients at high risk of death or severe functional impairment
Bibliographic record
Abstract
BACKGROUND: Patients with advanced critical illness often receive more intensive treatment than they would choose for themselves, which contributes to high health care costs near the end of life. The purpose of this study was to determine whether a family support intervention delivered by the interprofessional ICU team decreases hospitalization costs and hospital readmissions among critically ill patients at high risk of death or severe functional impairment. RESULTS: We examined index hospitalization costs as well as post-discharge utilization of acute care hospitals, rehabilitation and skilled nursing facilities, and hospice services for the PARTNER trial, a multicenter, stepped-wedge, cluster randomized trial of an interprofessional ICU family support intervention. We determined patients' total controllable and direct variable costs using a computerized accounting system. We determined post-discharge resource utilization (as defined above) by structured telephone interview at 6-month follow-up. We used multiple variable regression modelling to compare outcomes between groups. Compared to usual care, the PARTNER intervention resulted in significantly lower total controllable costs (geometric mean: $26,529 vs $32,105; log-linear coefficient: - 0.30; 95% CI - 0.49, - 0.11) and direct variable costs ($3912 vs $6034; - 0.33; 95% CI - 0.56, - 0.10). A larger cost reduction occurred for decedents ($20,304 vs. $26,610; - 0.66; 95% CI - 1.01, - 0.31) compared to survivors ($31,353 vs. $35,015; - 0.15; 95% CI - 0.35,0.05). A lower proportion in the intervention arm were re-admitted to an acute care hospital (34.9% vs 45.1%; 0.66; 95% CI 0.56, 0.77) or skilled nursing facility (25.3% vs 31.6%; 0.63; 95% CI 0.47, 0.84). CONCLUSIONS: A family support intervention delivered by the interprofessional ICU team significantly decreased index hospitalization costs and readmission rates over 6-month follow-up. Trial registration Trial registration number: NCT01844492.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".