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Falling Again? Falls in Geriatric Adults-Risk Factors and Outcomes Associated With Recidivism.
- Source :
-
The Journal of surgical research [J Surg Res] 2020 Mar; Vol. 247, pp. 66-76. Date of Electronic Publication: 2019 Nov 22. - Publication Year :
- 2020
-
Abstract
- Background: The elderly population is at increased risk of fall-related readmissions (FRRs). This study is aimed to identify the factors predictive of repeat falls and to analyze the associated outcomes.<br />Methods: We studied the Nationwide Readmission Database for the year 2010 and identified the patients (≥65 years) who were admitted after falls, and from that subset, further analyzed patients with ≥1 FRRs. Descriptive statistics were used to analyze continuous and categorical variables. Multivariable logistic regression was used to identify predictors of readmission in geriatric patients after controlling for covariates.<br />Results: A total of 358,581 initial fall-related admissions in geriatric adults were identified, and of these, 21,713 experienced ≥1 FRRs (6.06% risk of repeat fall-related admission). Females outnumbered males, and female gender was identified as an independent predictor of FRR (OR 1.10 95% CI 1.07-1.14 P = 0.000). The other independent predictors significantly associated with FRR were age (OR 1.007, 95% CI 1.005-1.009), depression (OR 1.25, 95% CI 1.21-1.30), drug abuse (OR 1.37, 95% CI 1.15-1.63), liver disease (OR 1.25, 95% CI 1.15-1.43, P < 0.001), psychosis (OR 1.16, 95% CI 1.09-1.23), valvular heart disease (OR 1.07, 95% CI 1.02-1.12), chronic pulmonary disease (OR 1.10, 95% CI 1.06-1.13), and number of chronic conditions (OR 1.022, 95% CI 1.016-1.29). Patients admitted emergently or urgently had higher odds of FRR (OR 1.44, 95% CI 1.36-1.52). Hospital demographic was a significant predictor of FRR, as hospitals with bed number >500 was associated with lower odds (OR 0.95, 95% CI 0.92-0.98, P < 0.001). Geriatric patients admitted at nonteaching hospitals and hospitals in large metro areas (population > 1 million) had higher odds of FRR (OR 1.10, 95% CI 1.03 - 1.16) and (OR 1.10, 95% C1 1.07-1.14), respectively. With respect to discharge disposition, patients in the FRR group were less likely to go home (5.9% versus 21.0%) or with home health care (12.6% versus 18.5%), but more likely to be discharged to skilled nursing or intermediate-care facilities (64.1% versus 54.9%) and short-term hospitals (2.8% versus 1.4%). The mortality rate was higher in the FRR group but was not statistically significant (OR 1.06, 95% CI 0.99-1.14).<br />Conclusions: Given the high burden of fall-related injuries and FRRs to patients and the health care system, it is essential to identify those who are at risk. This study provides a comprehensive list of high-risk predictors as well as the impact on patient outcomes, and hence a chance to intervene for patients with FRRs.<br /> (Copyright © 2019 Elsevier Inc. All rights reserved.)
- Subjects :
- Accidental Falls economics
Accidental Falls mortality
Accidental Falls prevention & control
Age Factors
Aged
Aged, 80 and over
Databases, Factual statistics & numerical data
Female
Humans
Male
Patient Readmission economics
Risk Factors
Sex Factors
United States epidemiology
Wounds and Injuries economics
Wounds and Injuries etiology
Wounds and Injuries therapy
Accidental Falls statistics & numerical data
Cost of Illness
Patient Readmission statistics & numerical data
Wounds and Injuries epidemiology
Subjects
Details
- Language :
- English
- ISSN :
- 1095-8673
- Volume :
- 247
- Database :
- MEDLINE
- Journal :
- The Journal of surgical research
- Publication Type :
- Academic Journal
- Accession number :
- 31767279
- Full Text :
- https://doi.org/10.1016/j.jss.2019.10.041