DEVELOPMENT AND VALIDATION OF A PREDICTION MODEL FOR SIX-MONTH SURVIVAL OF MEDICARE BENEFICIARIES IN ASSISTED LIVING
Andrew Huang, Laura Dionne, Ann Reddy, Peter Serina, Ellen McCreedy · 2024
Read DEVELOPMENT AND VALIDATION OF A PREDICTION MODEL FOR SIX-MONTH SURVIVAL OF MEDICARE BENEFICIARIES IN ASSISTED LIVING by Andrew Huang, Laura Dionne, Ann Reddy, Peter Serina, Ellen McCreedy (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11689302.txt.
Description
Andrew Huang and four co-authors build, in twenty twenty-four, a tool to predict six-month survival for older adults in assisted living. Death risk can guide who most needs timely end-of-life care. Few such tools exist for this setting. The team used health records linked to Medicare claims from twenty fifteen to twenty twenty-two.
More than thirty-one thousand residents from more than a thousand homes met the rules. Factors included age, health care use and cost, diagnoses, drugs, and tests of body and mind. The team picked final factors with both math and expert views. They then checked the tool's skill at sorting risk and at matching real rates.
Catalog record
| CREATOR | Andrew Huang, Laura Dionne, Ann Reddy, Peter Serina, Ellen McCreedy |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 2 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |