Factors associated with involuntary hospital admissions in technology-dependent children
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista da Escola de Enfermagem da USP (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342016000100029 |
Resumo: | Abstract OBJECTIVE To identify the factors associated with involuntary hospital admissions of technology-dependent children, in the municipality of Ribeirão Preto, São Paulo State, Brazil. METHOD A cross-sectional study, with a quantitative approach. After an active search, 124 children who qualified under the inclusion criteria, that is to say, children from birth to age 12, were identified. Data was collected in home visits to mothers or the people responsible for the children, through the application of a questionnaire. Analysis of the data followed the assumptions of the Generalized Linear Models technique. RESULTS 102 technology-dependent children aged between 6 months and 12 years participated in the study, of whom 57% were male. The average number of involuntary hospital admissions in the previous year among the children studied was 0.71 (±1.29). In the final model the following variables were significantly associated with the outcome: age (OR=0.991; CI95%=0.985-0.997), and the number of devices (OR=0.387; CI95%=0.219-0.684), which were characterized as factors of protection and quantity of medications (OR=1.532; CI95%=1.297-1.810), representing a risk factor for involuntary hospital admissions in technology-dependent children. CONCLUSION The results constitute input data for consideration of the process of care for technology-dependent children by supplying an explanatory model for involuntary hospital admissions for this client group. |
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Factors associated with involuntary hospital admissions in technology-dependent childrenChildHospitalizationPediatric NursingAbstract OBJECTIVE To identify the factors associated with involuntary hospital admissions of technology-dependent children, in the municipality of Ribeirão Preto, São Paulo State, Brazil. METHOD A cross-sectional study, with a quantitative approach. After an active search, 124 children who qualified under the inclusion criteria, that is to say, children from birth to age 12, were identified. Data was collected in home visits to mothers or the people responsible for the children, through the application of a questionnaire. Analysis of the data followed the assumptions of the Generalized Linear Models technique. RESULTS 102 technology-dependent children aged between 6 months and 12 years participated in the study, of whom 57% were male. The average number of involuntary hospital admissions in the previous year among the children studied was 0.71 (±1.29). In the final model the following variables were significantly associated with the outcome: age (OR=0.991; CI95%=0.985-0.997), and the number of devices (OR=0.387; CI95%=0.219-0.684), which were characterized as factors of protection and quantity of medications (OR=1.532; CI95%=1.297-1.810), representing a risk factor for involuntary hospital admissions in technology-dependent children. CONCLUSION The results constitute input data for consideration of the process of care for technology-dependent children by supplying an explanatory model for involuntary hospital admissions for this client group.Universidade de São Paulo, Escola de Enfermagem2016-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342016000100029Revista da Escola de Enfermagem da USP v.50 n.1 2016reponame:Revista da Escola de Enfermagem da USP (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0080-623420160000100004info:eu-repo/semantics/openAccessOkido,Aline Cristiane CavicchioliPina,Juliana CoelhoLima,Regina Aparecida Garciaeng2016-03-15T00:00:00Zoai:scielo:S0080-62342016000100029Revistahttp://www.scielo.br/reeuspPUBhttps://old.scielo.br/oai/scielo-oai.php||nursingscholar@usp.br1980-220X0080-6234opendoar:2016-03-15T00:00Revista da Escola de Enfermagem da USP (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Factors associated with involuntary hospital admissions in technology-dependent children |
title |
Factors associated with involuntary hospital admissions in technology-dependent children |
spellingShingle |
Factors associated with involuntary hospital admissions in technology-dependent children Okido,Aline Cristiane Cavicchioli Child Hospitalization Pediatric Nursing |
title_short |
Factors associated with involuntary hospital admissions in technology-dependent children |
title_full |
Factors associated with involuntary hospital admissions in technology-dependent children |
title_fullStr |
Factors associated with involuntary hospital admissions in technology-dependent children |
title_full_unstemmed |
Factors associated with involuntary hospital admissions in technology-dependent children |
title_sort |
Factors associated with involuntary hospital admissions in technology-dependent children |
author |
Okido,Aline Cristiane Cavicchioli |
author_facet |
Okido,Aline Cristiane Cavicchioli Pina,Juliana Coelho Lima,Regina Aparecida Garcia |
author_role |
author |
author2 |
Pina,Juliana Coelho Lima,Regina Aparecida Garcia |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Okido,Aline Cristiane Cavicchioli Pina,Juliana Coelho Lima,Regina Aparecida Garcia |
dc.subject.por.fl_str_mv |
Child Hospitalization Pediatric Nursing |
topic |
Child Hospitalization Pediatric Nursing |
description |
Abstract OBJECTIVE To identify the factors associated with involuntary hospital admissions of technology-dependent children, in the municipality of Ribeirão Preto, São Paulo State, Brazil. METHOD A cross-sectional study, with a quantitative approach. After an active search, 124 children who qualified under the inclusion criteria, that is to say, children from birth to age 12, were identified. Data was collected in home visits to mothers or the people responsible for the children, through the application of a questionnaire. Analysis of the data followed the assumptions of the Generalized Linear Models technique. RESULTS 102 technology-dependent children aged between 6 months and 12 years participated in the study, of whom 57% were male. The average number of involuntary hospital admissions in the previous year among the children studied was 0.71 (±1.29). In the final model the following variables were significantly associated with the outcome: age (OR=0.991; CI95%=0.985-0.997), and the number of devices (OR=0.387; CI95%=0.219-0.684), which were characterized as factors of protection and quantity of medications (OR=1.532; CI95%=1.297-1.810), representing a risk factor for involuntary hospital admissions in technology-dependent children. CONCLUSION The results constitute input data for consideration of the process of care for technology-dependent children by supplying an explanatory model for involuntary hospital admissions for this client group. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-02-01 |
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=S0080-62342016000100029 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342016000100029 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0080-623420160000100004 |
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 |
Universidade de São Paulo, Escola de Enfermagem |
publisher.none.fl_str_mv |
Universidade de São Paulo, Escola de Enfermagem |
dc.source.none.fl_str_mv |
Revista da Escola de Enfermagem da USP v.50 n.1 2016 reponame:Revista da Escola de Enfermagem da USP (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista da Escola de Enfermagem da USP (Online) |
collection |
Revista da Escola de Enfermagem da USP (Online) |
repository.name.fl_str_mv |
Revista da Escola de Enfermagem da USP (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||nursingscholar@usp.br |
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1748936538163511296 |