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.

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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
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article

Reconstruction of a Risk Analysis Tool That Uses Nursing Data for Frailty Assessment Among Older Adults: Derivation and Internal Evaluation Study

Laurie Duckworth, Mattia Prosperi, Laurence M. Solberg, Sarah E Ser et al.
1 citations
JMIR Aging
Frailty in Older Adults
1.22
article

Reconstruction of a Risk Analysis Tool That Uses Nursing Data for Frailty Assessment Among Older Adults: Derivation and Internal Evaluation Study

Laurie Duckworth, Mattia Prosperi, Laurence M. Solberg, Sarah E Ser, Urszula A Snigurska, Elizabeth M Dunn, Ragnhildur I. Bjarnadóttir, Robert Lucero, Brian G. Celso
article en
1 citations

Abstract

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.

JMIR AgingVol. 8
University of Florida (US), Jacksonville University (US), North Florida/South Georgia Veterans Health System (US), Florida College (US)
Openalex Percentile: Top 16%
Frailty in Older Adults
1.22
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