Reconstruction of a Risk Analysis Tool That Uses Nursing Data for Frailty Assessment Among Older Adults: Derivation and Internal Evaluation Study
This study developed and validated a 3-category frailty classification system with strong predictive validity for hospital mortality among older adults. The generated frailty index leverages existing EHR data to capture frailty without increasing provider workload or interfering with workflow. Component importance analysis identified respiratory dysfunction and functional limitations as key predictors. This automated approach to frailty assessment could improve risk stratification, providing critical information to clinical teams with minimal burden and supporting clinical decision-making for hospitalized older adults. Future study of the overall reliability and validity of these derived frailty scores is warranted.
Authors
- Laurie Duckworth
- Mattia Prosperi (ORCID: https://orcid.org/0000-0002-9021-5595)
- Laurence M. Solberg (ORCID: https://orcid.org/0000-0001-8764-5335)
- Sarah E Ser (ORCID: https://orcid.org/0009-0002-9496-6991)
- Urszula A Snigurska (ORCID: https://orcid.org/0000-0001-9806-8553)
- Elizabeth M Dunn (ORCID: https://orcid.org/0000-0002-9348-0976)
- Ragnhildur I. Bjarnadóttir (ORCID: https://orcid.org/0000-0001-6325-1200)
- Robert Lucero (ORCID: https://orcid.org/0000-0002-8089-466X)
- Brian G. Celso (ORCID: https://orcid.org/0000-0002-0095-2701)
Institutions
- University of Florida (US)
- Jacksonville University (US)
- North Florida/South Georgia Veterans Health System (US)
- Florida College (US)
Publication Details
- Journal
- JMIR Aging
- Published
- 2025-09-28
- DOI
- https://doi.org/10.2196/67888
- Citations
- 1
- Primary Topic
- Frailty in Older Adults
- Type
- article
- Field-Weighted Citation Impact
- 1.22