Measuring Frailty in Inpatient Rehabilitation
- PMID: 31622049
- DOI: 10.1002/pmrj.12263
Measuring Frailty in Inpatient Rehabilitation
Abstract
Background: In response to the global aging population, there has been increasing research on frailty. How frailty is conceptualized is shifting with the development of frailty models, especially in the acute care arena.
Objective: To explore frailty/vulnerability risk factors available at admission that were associated with salient patient outcomes within the context of inpatient rehabilitation.
Design: Methodologies in acute care are not easily adapted for a typical admission evaluation or a rehabilitation patient. In this study, the concept of frailty among patients admitted to rehabilitation was developed from risk factors available at admission that were associated with two patient outcomes, adverse hospital outcomes and 30-day hospital readmissions.
Setting: Inpatient rehabilitation.
Patients: Data were included on all patients (n = 768) discharged from an inpatient rehabilitation unit of an academic medical center from 1 January 2012 through 31 December 2012.
Interventions: Not applicable.
Main outcome measure: Adverse events within the inpatient rehabilitation stay and 30-day hospital readmissions.
Results: Significant independent factors associated with adverse events in the rehabilitation unit included African American (1.77 OR; 95% CI 1.06-2.96), Hispanic (3.17 OR; 95% CI 1.13-8.94), having >9 total comorbid conditions (1.44 OR; 95% CI 1.244-1.66), and sphincter control domain (including bladder and bowel management) ≤ 9 FIM (0.92 OR; 95% CI 0.86-0.98). For 30-day readmission three variables were found to be significant: onset ≥7 days (2.31 OR; 95% CI 1.28-4.22), requiring a tube for feeding (3.45 OR; 95% CI 1.433-11.12), and being obese (4.72 OR; 95% CI 1.433-15.58).
Conclusions: The findings highlight the need for early admission screening and identification of risk factors which can provide the time in the rehabilitation setting for the clinical team to treat and prevent the potential for poor outcomes.
© 2019 American Academy of Physical Medicine and Rehabilitation.
References
-
- Avila-Funes JA, Amieva H, Barberger-Gateau P, et al. Cognitive impairment improves the predictive validity of the phenotype of frailty for adverse health outcomes: the three-city study. J Am Geriatr Soc. 2009;57(3):453-461.
-
- Rothman MD, Leo-Summers L, Gill TM. Prognostic significance of potential frailty criteria. J Am Geriatr Soc. 2008;56(12):2211-2116.
-
- Fisher AL. Just what defines frailty? J Am Geriatr Soc. 2005;53(12):2229-2230.
-
- Hogan DB, MacKnight C, Bergman H. Steering committee CIoF, aging. Models, definitions, and criteria of frailty. Aging Clin Exp Res. 2003;15(3 Suppl):1-29.
-
- Rockwood K, Song X, MacKnight C, et al. A global clinical measure of fitness and frailty in elderly people. CMAJ. 2005;173(5):489-495.
MeSH terms
LinkOut - more resources
Full Text Sources
Medical