Falling Again? Falls in Geriatric Adults-Risk Factors and Outcomes Associated With Recidivism.
Elderly
Fall-related readmissions
Geriatric patients
Predictors
Prevention
Repeat falls
Journal
The Journal of surgical research
ISSN: 1095-8673
Titre abrégé: J Surg Res
Pays: United States
ID NLM: 0376340
Informations de publication
Date de publication:
03 2020
03 2020
Historique:
received:
24
07
2019
revised:
24
09
2019
accepted:
20
10
2019
pubmed:
27
11
2019
medline:
10
6
2020
entrez:
27
11
2019
Statut:
ppublish
Résumé
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. 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. 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). 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.
Sections du résumé
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.
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.
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).
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.
Identifiants
pubmed: 31767279
pii: S0022-4804(19)30771-1
doi: 10.1016/j.jss.2019.10.041
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
66-76Informations de copyright
Copyright © 2019 Elsevier Inc. All rights reserved.