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Updated: Sep 20, 2025

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty
Published on: July 24, 2013
A retrospective cohort study on the relationship between frailty and healthcare outcomes
Jinmyoung Cho1, Joanne Salas2, Jeffery F Scherrer3
1Department of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis, MO, USA.
Background:
Frailty increases vulnerability for adverse outcomes in older adults. Characterizing the prevalence and distribution of frailty can help guide healthcare service decision-making and policy.
Objectives:
This study evaluated the association between frailty and healthcare utilization and interactions by demographic characteristics.
Design:
Using electronic health records (2018-2022), we conducted a retrospective cohort study with 355,266 patients ≥65 years of age who had ≥2 ambulatory office visits in separate years in the 4-year baseline period (2018-2021). The Gilbert Frailty Index (GFI) was calculated (low vs. intermediate vs. high) using ICD-10 codes. One-year utilization outcomes in 2022 included high outpatient clinic utilizations (OCU), inpatient (IP), emergency department (ED), and nursing home (NH) admissions. Fully adjusted log-binomial regression models were calculated overall and by race (White vs. Black), age groups, and gender.
Results:
The sample was 74.5(±7.5) years of age, 57.7 % female, 89.2 % White, and 13.5 % categorized as GFI high. After adjustment for covariates, GFI high had the highest risk for all outcomes (RR=3.31 for IP; 2.77 for ED; 4.26 for NH; 1.60 for high OCU). We observed significant interactions by race, gender, and age for some outcomes. Effects of GFI high vs. low were larger for White (IP, ED, & high OCU), female patients (ED & high OCU), and younger patients (IP). Conversely, the effects of GFI high vs. low were strongest in older patients for ED, IP and high OCU.
Conclusions:
Monitoring frailty and paying attention to patient's demographic characteristics is needed to best estimate associations between frailty and healthcare utilization.
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