Palliative care as a component of high-value and cost-saving care during hospitalization for metastatic cancer.
Bibliographic record
Abstract
6640 Background: Randomized controlled trials have demonstrated that palliative care can improve both quality of life and survival for outpatients with advanced cancer, but there is limited population-based data on the value of inpatient palliative care. We assessed palliative care as a component of high-value care among a nationally representative sample of inpatients with metastatic cancer. We further identified care, patient, and hospital characteristics significantly associated with high costs. Methods: This study analyzed hospitalizations of patients ≥18 years with a primary diagnosis of metastatic cancer from the National Inpatient Sample (covering 97% of the U.S. population) from 2010-2019. We utilized multivariable mixed-effects logistic regression to assess medical services (receipt of palliative care, invasive medical ventilation [IMV], systemic therapy), patient demographics, and hospital characteristics that were associated with higher charges billed to insurance and hospital costs. We utilized generalized linear mixed-effects models to determine cost savings associated with provision of palliative care. Results: Among 397,691 hospitalizations from 2010 to 2019, the median charge per admission increased by 24.9%, from $44,904 in 2010 to $56,098 in 2019, while the median hospital cost remained stable at $14,300. Receipt of inpatient palliative care was associated with significantly lower charges (Odds Ratio [OR], 0.62; 95% CI, 0.61-0.64; P < .001) and costs (OR, 0.59; 95%CI, 0.58-0.61; P < .001). Factors associated with high charges were receipt of invasive medical ventilation (P < .001) or systemic therapy (P < .001), Hispanic patients (P < .001), and young age (18-49 years, P < .001). For-profit hospitals were more likely to bill higher charges (OR, 5.05; 95%CI, 4.78-5.33, P < .001) but less likely to incur high hospital costs (OR, 0.51; 95%CI, 0.48-0.54, P < .001) than public hospitals. In adjusted generalized linear mixed effects regression, palliative care provision was associated with a $1,293 (-13.4%, P < .001) reduction in costs per hospitalization compared to no palliative care, independent of receipt of invasive care and age. Significant interactions were observed between receipt of palliative care and patient age group (-9.6% for 18-49 years; -14.7% for ≥70 years), receipt of IMV (-6.4% for IMV receipt; -14.0% for no IMV), hospital ownership (-19.6% for for-profit; -10.5% for public), and year of hospitalization (-15.4% for 2010; -8.9% for 2019). Conclusions: Inpatient palliative care is associated with reduced hospital costs for patients with metastatic cancer, irrespective of age and receipt of aggressive interventions. Assuming inpatient palliative care receipt increases by 50%, we estimate $4,045,000 in annual national savings. Integration of inpatient palliative care may de-escalate costs incurred through low-value inpatient interventions.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".