Longer Periods Of Hospice Service Associated With Lower End-Of-Life Spending In Regions With High Expenditures
Bibliographic record
Abstract
Hospice use is expected to decrease end-of-life expenditures, yet evidence for its financial impact remains inconclusive. One potential explanation is that the use of hospice may produce differential cost-savings effects by region because of geographic variation in end-of-life spending patterns. We examined 103,745 elderly Medicare fee-for-service beneficiaries in the Surveillance, Epidemiology, and End Results Program Medicare database who died from cancer in 2004-11. We created quintiles by the adjusted mean end-of-life expenditures per hospital referral region (HRR), and we examined HRR-level variation in the association between length of hospice service and expenditures across quintiles. Longer periods of hospice service were associated with decreased end-of-life expenditures for patients residing in regions with high average expenditures but not for those in regions with low average expenditures. Hospice use accounted for 8 percent of the expenditure variation between the highest and the lowest spending quintiles, which demonstrates the powers and limitations of hospice use for saving on costs.
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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) | 0.001 | 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".