Development and internal validation of a 30-day readmission risk model for older adults using Swiss electronic health record data: a retrospective cohort study
Laura Maria Steiner, Sandra M G Zwakhalen, Loris Bonetti, Sabine Hahn · 2026
Read Development and internal validation of a 30-day readmission risk model for older adults using Swiss electronic health record data: a retrospective cohort study by Laura Maria Steiner, Sandra M G Zwakhalen, Loris Bonetti, Sabine Hahn (2026) 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-13276931.txt.
Description
Laura Steiner and co-authors build a model to predict hospital readmission in older adults, in a 2026 study. Unplanned returns within thirty days often signal unmet needs and broken care handoffs. Past models lack a focus on older patients, clear reading, or fit for decentralized European systems.
The team used Swiss hospital records for adults aged sixty five or more discharged in 2024. Of more than twelve thousand cases that met the rules, about one in five came back unplanned within thirty days. Many drug use, home care, male sex, and odd fall risk patterns were among the predictors. Their plain regression model was checked by resampling and by a model that handles death as a rival event.
Catalog record
| CREATOR | Laura Maria Steiner, Sandra M G Zwakhalen, Loris Bonetti, Sabine Hahn |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 39 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |