Alzheimer's Disease and Other Dementia in Nursing Homes: Levels of Management and Cost
Bibliographic record
Abstract
OBJECTIVE: To estimate comparative management levels and the annual cost of caring for a nursing home resident with and without dementia. METHOD: Data from the 1995 Massachusetts Medicaid nursing home database were used to examine residents with Alzheimer's disease, other types of dementia, and no dementia to determine care and dependency levels. Massachusetts Medicaid 1997 per-diem rates for each of 10 designated management levels were applied accordingly to residents in each level to estimate annual care costs. Costs from this analysis are reported in 1997 U.S. dollars. RESULTS: Of the 49,724 nursing home residents identified, 26.4% had a documented diagnosis of dementia. On average, a resident with dementia requires 229 more hours of care annually than one without dementia, resulting in a mean additional cost of $3,865 per patient with dementia per year. CONCLUSIONS: Dementia increases the care needs and cost of caring for a nursing home resident.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".