Incidence and predicting factors of falls of older inpatients

Detalhes bibliográficos
Autor(a) principal: Abreu,Hellen Cristina de Almeida
Data de Publicação: 2015
Outros Autores: Reiners,Annelita Almeida Oliveira, Azevedo,Rosemeiry Capriata de Souza, Silva,Ageo Mário Cândido da, Abreu,Débora Regina de Oliveira Moura, Oliveira,Adriana Delmondes de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Saúde Pública
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102015000100303
Resumo: OBJECTIVE To estimate the incidence and predicting factors associated with falls among older inpatients.METHODS Prospective cohort study conducted in clinical units of three hospitals in Cuiaba, MT, Midwestern Brazil, from March to August 2013. In this study, 221 inpatients aged 60 or over were followed until hospital discharge, death, or fall. The method of incidence density was used to calculate incidence rates. Bivariate analysis was performed by Chi-square test, and multiple analysis was performed by Cox regression.RESULTS The incidence of falls was 12.6 per 1,000 patients/day. Predicting factors for falls during hospitalization were: low educational level (RR = 2.48; 95%CI 1.17;5.25), polypharmacy (RR = 4.42; 95%CI 1.77;11.05), visual impairment (RR = 2.06; 95%CI 1.01;4.23), gait and balance impairment (RR = 2.95; 95%CI 1.22;7.14), urinary incontinence (RR = 5.67; 95%CI 2.58;12.44) and use of laxatives (RR = 4.21; 95%CI 1.15;15.39) and antipsychotics (RR = 4.10; 95%CI 1.38;12.13).CONCLUSIONS The incidence of falls of older inpatients is high. Predicting factors found for falls were low education level, polypharmacy, visual impairment, gait and balance impairment, urinary incontinence and use of laxatives and antipsychotics. Measures to prevent falls in hospitals are needed to reduce the incidence of this event.
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spelling Incidence and predicting factors of falls of older inpatientsAgedAccidental FallsRisk FactorsCohort StudiesOBJECTIVE To estimate the incidence and predicting factors associated with falls among older inpatients.METHODS Prospective cohort study conducted in clinical units of three hospitals in Cuiaba, MT, Midwestern Brazil, from March to August 2013. In this study, 221 inpatients aged 60 or over were followed until hospital discharge, death, or fall. The method of incidence density was used to calculate incidence rates. Bivariate analysis was performed by Chi-square test, and multiple analysis was performed by Cox regression.RESULTS The incidence of falls was 12.6 per 1,000 patients/day. Predicting factors for falls during hospitalization were: low educational level (RR = 2.48; 95%CI 1.17;5.25), polypharmacy (RR = 4.42; 95%CI 1.77;11.05), visual impairment (RR = 2.06; 95%CI 1.01;4.23), gait and balance impairment (RR = 2.95; 95%CI 1.22;7.14), urinary incontinence (RR = 5.67; 95%CI 2.58;12.44) and use of laxatives (RR = 4.21; 95%CI 1.15;15.39) and antipsychotics (RR = 4.10; 95%CI 1.38;12.13).CONCLUSIONS The incidence of falls of older inpatients is high. Predicting factors found for falls were low education level, polypharmacy, visual impairment, gait and balance impairment, urinary incontinence and use of laxatives and antipsychotics. Measures to prevent falls in hospitals are needed to reduce the incidence of this event.Faculdade de Saúde Pública da Universidade de São Paulo2015-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102015000100303Revista de Saúde Pública v.49 2015reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.1590/S0034-8910.2015049005549info:eu-repo/semantics/openAccessAbreu,Hellen Cristina de AlmeidaReiners,Annelita Almeida OliveiraAzevedo,Rosemeiry Capriata de SouzaSilva,Ageo Mário Cândido daAbreu,Débora Regina de Oliveira MouraOliveira,Adriana Delmondes deeng2015-10-28T00:00:00Zoai:scielo:S0034-89102015000100303Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2015-10-28T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Incidence and predicting factors of falls of older inpatients
title Incidence and predicting factors of falls of older inpatients
spellingShingle Incidence and predicting factors of falls of older inpatients
Abreu,Hellen Cristina de Almeida
Aged
Accidental Falls
Risk Factors
Cohort Studies
title_short Incidence and predicting factors of falls of older inpatients
title_full Incidence and predicting factors of falls of older inpatients
title_fullStr Incidence and predicting factors of falls of older inpatients
title_full_unstemmed Incidence and predicting factors of falls of older inpatients
title_sort Incidence and predicting factors of falls of older inpatients
author Abreu,Hellen Cristina de Almeida
author_facet Abreu,Hellen Cristina de Almeida
Reiners,Annelita Almeida Oliveira
Azevedo,Rosemeiry Capriata de Souza
Silva,Ageo Mário Cândido da
Abreu,Débora Regina de Oliveira Moura
Oliveira,Adriana Delmondes de
author_role author
author2 Reiners,Annelita Almeida Oliveira
Azevedo,Rosemeiry Capriata de Souza
Silva,Ageo Mário Cândido da
Abreu,Débora Regina de Oliveira Moura
Oliveira,Adriana Delmondes de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Abreu,Hellen Cristina de Almeida
Reiners,Annelita Almeida Oliveira
Azevedo,Rosemeiry Capriata de Souza
Silva,Ageo Mário Cândido da
Abreu,Débora Regina de Oliveira Moura
Oliveira,Adriana Delmondes de
dc.subject.por.fl_str_mv Aged
Accidental Falls
Risk Factors
Cohort Studies
topic Aged
Accidental Falls
Risk Factors
Cohort Studies
description OBJECTIVE To estimate the incidence and predicting factors associated with falls among older inpatients.METHODS Prospective cohort study conducted in clinical units of three hospitals in Cuiaba, MT, Midwestern Brazil, from March to August 2013. In this study, 221 inpatients aged 60 or over were followed until hospital discharge, death, or fall. The method of incidence density was used to calculate incidence rates. Bivariate analysis was performed by Chi-square test, and multiple analysis was performed by Cox regression.RESULTS The incidence of falls was 12.6 per 1,000 patients/day. Predicting factors for falls during hospitalization were: low educational level (RR = 2.48; 95%CI 1.17;5.25), polypharmacy (RR = 4.42; 95%CI 1.77;11.05), visual impairment (RR = 2.06; 95%CI 1.01;4.23), gait and balance impairment (RR = 2.95; 95%CI 1.22;7.14), urinary incontinence (RR = 5.67; 95%CI 2.58;12.44) and use of laxatives (RR = 4.21; 95%CI 1.15;15.39) and antipsychotics (RR = 4.10; 95%CI 1.38;12.13).CONCLUSIONS The incidence of falls of older inpatients is high. Predicting factors found for falls were low education level, polypharmacy, visual impairment, gait and balance impairment, urinary incontinence and use of laxatives and antipsychotics. Measures to prevent falls in hospitals are needed to reduce the incidence of this event.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102015000100303
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102015000100303
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0034-8910.2015049005549
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
dc.source.none.fl_str_mv Revista de Saúde Pública v.49 2015
reponame:Revista de Saúde Pública
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Revista de Saúde Pública
collection Revista de Saúde Pública
repository.name.fl_str_mv Revista de Saúde Pública - Universidade de São Paulo (USP)
repository.mail.fl_str_mv revsp@org.usp.br||revsp1@usp.br
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