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

Milene Silva Ferreira; Fabio Gazelato de Melo Franco; Patrícia Silveira Rodrigues; Vanessa Maria da Silva de Poli Correa; Sonia Teresa Gaidzakian Akopian; Gabriel Grizzo Cucato; Raphael Mendes Ritti Dias; Maysa Seabra Cendoroglo; Carolina Nunes França; José Antonio Maluf de Carvalho

doi:10.1186/s12877-019-1104-4

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

Milene Silva Ferreira, Fabio Gazelato de Melo Franco, Patrícia Silveira Rodrigues, Vanessa Maria da Silva de Poli Correa, Sonia Teresa Gaidzakian Akopian, Gabriel Grizzo Cucato, Raphael Mendes Ritti Dias, Maysa Seabra Cendoroglo, Carolina Nunes França, José Antonio Maluf de Carvalho

Research output: Contribution to journal › Article › peer-review

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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.

Original language	English
Article number	89
Journal	BMC Geriatrics
Volume	19
Issue number	1
DOIs	https://doi.org/10.1186/s12877-019-1104-4
Publication status	Published - 21 Mar 2019
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Elderly
Length of stay
Predicting model
Predictors
Rehabilitation

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10.1186/s12877-019-1104-4Licence: CC BY

s12877-019-1104-4Final published version, 556 KBLicence: CC BY

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Ferreira, M. S., de Melo Franco, F. G., Rodrigues, P. S., da Silva de Poli Correa, V. M., Akopian, S. T. G., Cucato, G. G., Dias, R. M. R., Cendoroglo, M. S., França, C. N., & de Carvalho, J. A. M. (2019). Impaired chair-to-bed transfer ability leads to longer hospital stays among elderly patients. BMC Geriatrics, 19(1), Article 89. https://doi.org/10.1186/s12877-019-1104-4

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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.",

keywords = "Elderly, Length of stay, Predicting model, Predictors, Rehabilitation",

author = "Ferreira, \{Milene Silva\} and \{de Melo Franco\}, \{Fabio Gazelato\} and Rodrigues, \{Patr{\'i}cia Silveira\} and \{da Silva de Poli Correa\}, \{Vanessa Maria\} and Akopian, \{Sonia Teresa Gaidzakian\} and Cucato, \{Gabriel Grizzo\} and Dias, \{Raphael Mendes Ritti\} and Cendoroglo, \{Maysa Seabra\} and Fran{\c c}a, \{Carolina Nunes\} and \{de Carvalho\}, \{Jos{\'e} Antonio Maluf\}",

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AU - de Melo Franco, Fabio Gazelato

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AU - da Silva de Poli Correa, Vanessa Maria

AU - Akopian, Sonia Teresa Gaidzakian

AU - Cucato, Gabriel Grizzo

AU - Dias, Raphael Mendes Ritti

AU - Cendoroglo, Maysa Seabra

AU - França, Carolina Nunes

AU - de Carvalho, José Antonio Maluf

PY - 2019/3/21

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N2 - 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.

AB - 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.

KW - Elderly

KW - Length of stay

KW - Predicting model

KW - Predictors

KW - Rehabilitation

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ER -

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

Abstract

UN SDGs

Keywords

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