Incidence and predicting factors of falls of older inpatients
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
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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Revista de Saúde Pública |
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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 |
_version_ |
1748936503261659136 |