Impaired chair-to-bed transfer ability leads to longer hospital stays among elderly patients

Ferreira, Milene Silva, de Melo Franco, Fabio Gazelato, Rodrigues, Patrícia Silveira, da Silva de Poli Correa, Vanessa Maria, Akopian, Sonia Teresa Gaidzakian, Cucato, Gabriel, Dias, Raphael Mendes Ritti, Cendoroglo, Maysa Seabra, França, Carolina Nunes and de Carvalho, José Antonio Maluf (2019) Impaired chair-to-bed transfer ability leads to longer hospital stays among elderly patients. BMC Geriatrics, 19 (1). p. 89. ISSN 1471-2318

[img]
Preview
Text
s12877-019-1104-4.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (569kB) | Preview
Official URL: https://doi.org/10.1186/s12877-019-1104-4

Abstract

BACKGROUND: The study objectives were to identify the main predictive factors for long hospital stays and to propose new and improved methods of risk assessment.

METHODS: This prospective cohort study was conducted in the clinics and surgical wards of a tertiary hospital and involved 523 elderly patients over 60 years of age. Demographic, clinical, functional, and cognitive characteristics assessed between 48 and 72 h after admission were analyzed to investigate correlations with lengths of stay greater than 10 days. Univariate and multivariate analyses were performed, and in the final model, long-term probability scores were estimated for each variable.

RESULTS: Of the 523 patients studied, 33 (6.3%) remained hospitalized for more than 10 days. Multiple regression analysis revealed that both the presence of diabetes and the inability to perform chair-to-bed transfers (Barthel Index) remained significant risk predictors. Diabetes doubled the risk of prolonged hospital stays, while a chair-to-bed transfer score of 0 or 5 led to an eight-fold increase in risk.

CONCLUSIONS: In this study, we propose an easy method that can be used, after external validation, to screen for long-term risk (using diabetes and bed/chair transfer) as a first step in identifying hospitalized elderly patients who will require comprehensive assessment to guide prevention plans and rehabilitation programs.

Item Type: Article
Uncontrolled Keywords: Elderly, Length of stay, Predicting model, Predictors, Rehabilitation
Subjects: A900 Others in Medicine and Dentistry
B700 Nursing
Department: Faculties > Health and Life Sciences > Sport, Exercise and Rehabilitation
Depositing User: Elena Carlaw
Date Deposited: 19 Nov 2019 15:08
Last Modified: 19 Nov 2019 15:15
URI: http://nrl.northumbria.ac.uk/id/eprint/41507

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics